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Identification of molecular signatures specific for distinct cranial sensory ganglia in the developing chick



The cranial sensory ganglia represent populations of neurons with distinct functions, or sensory modalities. The production of individual ganglia from distinct neurogenic placodes with different developmental pathways provides a powerful model to investigate the acquisition of specific sensory modalities. To date there is a limited range of gene markers available to examine the molecular pathways underlying this process.


Transcriptional profiles were generated for populations of differentiated neurons purified from distinct cranial sensory ganglia using microdissection in embryonic chicken followed by FAC-sorting and RNAseq. Whole transcriptome analysis confirmed the division into somato- versus viscerosensory neurons, with additional evidence for subdivision of the somatic class into general and special somatosensory neurons. Cross-comparison of distinct ganglia transcriptomes identified a total of 134 markers, 113 of which are novel, which can be used to distinguish trigeminal, vestibulo-acoustic and epibranchial neuronal populations. In situ hybridisation analysis provided validation for 20/26 tested markers, and showed related expression in the target region of the hindbrain in many cases.


One hundred thirty-four high-confidence markers have been identified for placode-derived cranial sensory ganglia which can now be used to address the acquisition of specific cranial sensory modalities.


The sensory nervous system is fundamental to perception of our body’s external and internal environments. It is generally accepted that distinct types of sensation are mediated by neurons specialised in responding to specific stimuli, raising questions relating to how these distinct groups of neurons differ, both at the level of physiological function, and at the level of the acquisition of specific phenotypes during development [1]. To this end, recent publications have outlined transcriptome analysis of sensory neurons in the trunk, identifying specific subsets of somatosensory neurons [2, 3]. However, these studies provide molecular signatures specifically for trunk somatosensory neurons, and do not encompass the many other sensory modalities conveyed by cranial sensory neurons [4]. Our aim was to develop a resource which would address the paucity of markers known to distinguish between neurons characteristic of distinct cranial sensory ganglia.

The cranial sensory ganglia can be categorised as having distinct sensory modalities according to the function of their associated cranial nerve (Fig. 1A). The trigeminal ganglion (which can be subdivided into ophthalmic and maxillomandibular), associated with cranial nerve V, is considered most similar to the sensory dorsal root ganglia (DRG) in the trunk, being involved in touch, pain and temperature sensation. The vestibulo-acoustic ganglion, associated with cranial nerve VIII, innervates the inner ear structures involved in balance and hearing. The epibranchial ganglia, individually called geniculate, associated with cranial nerve VII; petrosal, associated with cranial nerve IX; and nodose, associated with cranial nerve X, are involved in sensing chemicals such as tastants, digestive catabolites, and blood gas levels, in addition to sensing pressure changes in blood vessels. The cranial sensory modalities thus correspond to somatosensation, which is further subdivided into general somatosensory (trigeminal) and special somatosensory (vestibulo-acoustic), and viscerosensation (geniculate, petrosal and nodose). Our study is focused on the cranial sensory ganglia of chicken (Fig. 1A), but their organisation and function are well conserved across vertebrates [5].

Fig. 1
figure 1

Isolation of embryonic chick placode-derived cranial sensory neurons by dissection and FACS. A Schematic of cranial sensory ganglia in embryonic day 12 (HH38) chick (adapted from [6]). The ganglia are labelled: trigeminal ganglion as two separate lobes (Top: ophthalmic; Tmm: maxillomandibular); vestibulo-acoustic ganglion (VA); epibranchial series as three separate ganglia (G: geniculate; P: petrosal; N: nodose). Also labelled are the neural crest-derived superior– jugular ganglionic complex (S/J); the inner ear (IE); and forebrain (FB); midbrain (MB) and hindbrain (HB) of the CNS. Colours indicate the sensory modality of ganglion: blue: general somatosensory; magenta: special somatosensory; green: viscerosensory. B Representative dissections of cranial sensory ganglia: Top, Tmm and VA at HH18, and P and N at HH23. C, D Representative FACS plots of cells stained for live/dead stain and NFM. C Control cell population: limb bud cells devoid of neurons, containing 50 % dead cells. D Petrosal ganglion cell population: 36 % of cells are NFM positive and dead cell marker negative

The development of cranial sensory ganglia remains less well studied than that of the DRG, possibly due to their perceived complexity. Compared with the DRG, which all develop exclusively from neural crest, each individual cranial sensory ganglion develops from a distinct neurogenic placode with some neural crest contribution to the proximal cranial sensory ganglia: the proximal region of the trigeminal ganglion, small numbers of neurons in the geniculate and vestibulo-acoustic ganglia, and the entirety of the superior/jugular ganglia associated with cranial nerves IX and X [68]. As each different neurogenic placode utilises a distinct developmental path, they can be used to understand the acquisition of different, specific sensory modalities. Experiments addressing placode fate switching through in vivo transplantation and in vitro pathway manipulation, show that the trigeminal (somatosensory) and nodose (viscerosensory) placode are fate-restricted once neurogenesis begins [7, 9, 10]. In the mouse, expression of the transcription factor Phox2b underpins the fate choice between these two sensory modalities [11]. However, only a limited range of markers exist that can be used to investigate this cell type decision, and no markers are currently available to distinguish between general and special somatosensory modalities. To extend experimental analysis of cranial sensory ganglia development further, we require a broad range of markers that distinguish between differentiated neurons of different phenotypes.

Even neurons of the same sensory modality can differ depending on whether they derive from neural crest or placode. Analysis of the Scn10a gene promoter in the mouse has shown that a specific fragment recapitulates endogenous expression of the product Nav1.8 in neural crest-derived but not placode-derived cranial sensory neurons [12]. Furthermore, nociceptive C-fibre sensory neurons innervating the lung are phenotypically distinct depending on whether they are neural crest- or placode-derived [13]. These observations reinforce the importance of producing markers that are specific for placode-derived cranial sensory neurons.

The timing and localisation of distinct placode-derived cranial sensory ganglion development have been carefully documented in the chicken [6, 9, 10, 1419]. Here we take advantage of our knowledge of the development of the chicken system, combined with genome-wide expression profiling, to characterise ganglion-specific populations of placode-derived sensory neurons at early stages of differentiation. We present RNA-seq data generated from embryonic neurons purified from five distinct cranial sensory ganglia (namely trigeminal maxillomandibular; trigeminal ophthalmic; vestibulo-acoustic; petrosal; and nodose ganglia) separated by dissection and fluorescence-activated cell sorting (FACS). Using this gene expression data, we provide an objective and comprehensive classification of distinct populations of cranial sensory neurons. Whole transcriptome analysis confirms the dichotomy of somatosensory (somatic) versus viscerosensory (visceral) neurons, but additionally provides molecular evidence for the subdivision of the somatosensory neurons into general and special somatosensory neurons as previously described based on anatomy [11, 20]. Cross-comparison of distinct ganglia transcriptomes identifies a total of 134 markers, 113 of them novel, which can be used to distinguish trigeminal, vestibulo-acoustic and epibranchial neuronal populations. We confirm expression of 20 of these specific markers in the specific cranial sensory ganglia by in situ hybridization. Taken together, our data provides molecular signatures for distinct cranial sensory neuronal populations.


Transcriptional profile analysis of cranial sensory ganglia placode-derived neurons

In all vertebrates the cranial sensory ganglia are segregated according to sensory function. In the chicken, the stereotypical localisation of the ganglia (Fig. 1A) and our detailed understanding of the timing of their development [6, 14, 18, 19, 21] make it possible to dissect the ganglia separately in order to establish expression profiles of distinct populations of developing sensory neurons. We took advantage of this to harvest the trigeminal (maxillomandibular and ophthalmic), vestibulo-acoustic, nodose and petrosal ganglia from Hamburger-Hamilton stage 18 (HH18) [22] (both trigeminal and vestibulo-acoustic) or HH23 (nodose and petrosal) chicken embryos (Fig. 1B). Collection at these embryonic stages allowed us to compensate for differences in the timing of ganglion development, thus ensuring the neurons would be investigated at a similar stage of differentiation [7, 14, 18, 19]. Furthermore, these specific timings meant that the population of collected neurons exclusively contained placode-derived neurons. This was of particular importance for the trigeminal ganglion where neural crest-derived neurons contribute directly to the ganglion at later stages, rather than forming separate ganglia [6, 8]. We confirmed that we could avoid neural crest-derived neuron contamination of our trigeminal samples in a separate experiment, specifically labelling neural crest cells with GFP and showing that these did not contribute to the neuronal pool at HH18 (Additional file 1: Figure S1). The trigeminal ganglion was collected as two separate lobes (maxillomandibular and ophthalmic) because these arise from distinct placodes with individual characteristics [14, 18, 23], and further exist as two separate ganglia in more basal vertebrates [5, 24].

In order to profile the transcriptomes of differentiated neurons rather than non-neural cell types or neural progenitors we isolated all cells positive for neurofilament medium polypeptide (NFM) antibody staining. To this aim we adapted transcription factor FACS (tfFACS) [25], a method that allows sorting of cells with antibodies raised towards intracellular epitopes. Briefly, freshly dissected ganglia were quickly dissociated to single cells and fixed, thereby freezing the cells in their transcriptional state. The cells were gently permeabilised and subjected to NFM immunostaining, followed by FACS. Prior to fixation the cells were treated with a live/dead stain, with the gate for live/dead cells set using a control limb bud sample containing 50 % of cells killed by heat-shock (Fig. 1C). The extracted NFM positive (NFM+) neurons represented 13–41 % of the total cell population, while dead cells (4–9 % of total) were excluded (Fig. 1D). A total of 20,000 to 290,000 NFM+ neurons per sample were collected by FACS and 50-200 ng of high quality total RNA extracted (Additional file 2). Following this, RNA-sequencing returned a mean of ~77 million (~30–116 million) 100 bp reads for each of three replicates, of which an average of 88 ± 6 % mapped to the genome assembly. An average of 11,800 (10,897–12,190) genes per sample were expressed at an appreciable level (>0.3 read per kilobase per million mapped reads (RPKM), Additional file 3).

Principal Component Analysis (PCA) of gene expression across all samples revealed two distinct, unambiguous clusters indicative of two distinct categories of cranial sensory ganglia captured by the first principal component (Fig. 2A). None of the principal components significantly correlated with RNA integrity measurements (RIN values), RNA yield or sequencing depth (Additional file 2; Additional file 4: Figure S2A, B, C). The clusters reflected the known segregation of viscerosensory neurons (nodose and petrosal) and somatosensory neurons (vestibulo-acoustic and trigeminal) [11]. However, the two clusters also reflected the different embryonic stages of dissection. To test levels of neuronal maturation, we examined expression levels of six known markers of differentiated neurons (ELAVL4 (HUD), ISL1, MYT1, NEUROD1, RBFOX3 (NEUN) and TUBB3 (Tuj1)). Levels of expression were similar across the two sets of samples, supporting the hypothesis that the clusters reflect sensory phenotype rather than maturation differences (Additional file 5: Figure S3).

Fig. 2
figure 2

Principal Component Analysis of transcriptome-wide data displaying ganglion-specific clustering. A A plot of the first two principal components from analysis on all variance-stabilized gene expressions, coloured by ganglion. B Plot of the first and fourth principal components from analysis as in (A). The grey ellipses represent 90 % confidence intervals for groupings

The projections of the samples on PC1 and PC2 also show separation of the somatosensory cluster into a trigeminal cluster and a vestibulo-acoustic cluster (Fig. 2A): a conclusion further strengthened by analysis of the other principal components (Fig. 2B). This supports the segregation of these ganglia into general (trigeminal) and special (vestibulo-acoustic) somatosensory ganglia, terminology which has been applied largely based on the anatomy of their central projections with less known about the molecular basis [20]. Thus, our transcriptome-wide analysis supports a clear separation of cranial sensory ganglia into viscerosensory (nodose/petrosal) and somatosensory modalities (trigeminal/vestibulo-acoustic) with further subdivision of the latter into general (trigeminal) and special (vestibulo-acoustic) somatosensory modalities.

To identify ganglion-specific gene markers, differentially expressed genes were determined using both DESeq and EdgeR algorithms [26, 27], with the resultant intersect taken to ensure a robust selection. All combinations of ganglia were tested, and differentially expressed genes from both sets of analysis are available as Additional file 6. We were particularly interested in differential expression that reflected the PCA separation of the ganglia into three clusters. Accordingly our analysis identified higher expression of 1249 genes in nodose/petrosal; 447 in trigeminal and 133 in vestibulo-acoustic (Fig. 3A). The numbers of up-regulated genes for other combinations of ganglia were: nodose: 169; petrosal: 7; trigeminal maxillomandibular: 60; trigeminal ophthalmic: 107; and trigeminal maxillomandibular/trigeminal ophthalmic/vestibulo-acoustic: 708 (Additional file 7: Figure S4A, Additional file 6). No differentially expressed genes were found in the remaining combinations of ganglia. Gene ontology (GO) term analysis showed that each cluster of ganglia was characterised by enrichment of a distinct set of GO categories. The nodose/petrosal grouping showed the broadest spread of categories, with adhesion and membrane proteins being particularly enriched (Fig. 3B). The trigeminal grouping was the most overtly neuronal with neurotransmitter and ion transport activity terms enriched (Fig. 3B). Satisfyingly, the significant GO category for the vestibulo-acoustic ganglion, which is associated with the ear, was ear development (Fig. 3B). GO terms enrichments for other combinations of ganglia are listed in Additional file 7: Figure S4B.

Fig. 3
figure 3

Genes differentially expressed in Nodose and Petrosal (N/P), Trigeminal ophthalmic and maxillomandibular (Top/Tmm) and Vestibulo-acoustic (VA) ganglia. A Number of differentially expressed genes (q < 0.05) reported by DESeq and EdgeR. B Significant Gene Ontology (q < 0.05) enrichment for differentially expressed genes reported by both DESeq and EdgeR. Redundant GO terms were removed using REVIGO. The Hinton plot displays the FDR (Benjamini and Hochberg) corrected q-value

Identification of high-confidence markers for specific cranial sensory ganglia

Genes identified as being differentially expressed using both DESeq and EdgeR were subjected to stringent selection criteria based on expression level, fold-change, and statistical significance (see Material and Methods) to generate an unbiased panel of genes that best represent individual ganglia and combinations of ganglia (Fig. 4A; Additional file 8). The hierarchical clustering of the resultant 134 markers (Fig. 4A) reflected the division of the cranial sensory ganglia demonstrated by PCA (Fig. 2). The traditional division was represented by 20 markers of the somatosensory ganglia (trigeminal/vestibulo-acoustic) and 72 markers of the viscerosensory ganglia (nodose/petrosal) were found. In addition, we found 9 markers specific for the general somatosensory (trigeminal) and 15 markers for the special somatosensory ganglia (vestibulo-acoustic).

Fig. 4
figure 4

134 high confidence ganglion-specific markers. A Variance stabilized gene expression of all markers in ganglia or groups of ganglia. Numbers of ganglion-specific markers are indicated on the left. Genes of interest (black text) including those selected for validation by in-situ hybridization (blue text) are shown on the right. The dendogram displays the hierarchical clustering of gene expression into ganglia and groups of ganglia. The magenta and green values on each node represent the Approximately Unbiased P-value and the Bootstrap Probability value respectively. B Significant Gene Ontology enrichment (q < 0.05) for all markers. Redundant GO terms were removed using REVIGO. The Hinton plot displays the FDR (Benjamini and Hochberg) corrected q-value

The validity of the marker sets was confirmed by considering genes whose expression has been shown previously to be restricted to specific cranial sensory ganglia. Thus trigeminal ophthalmic expressed PAX3 [10, 28, 29]; trigeminal maxillomandibular/ophthalmic ganglia expressed DRG11 [3032]; and nodose/petrosal ganglia expressed PHOX2B [11, 21, 3335]. Our panel of markers included 7 genes expressed in the nodose ganglion but not in the petrosal ganglion. These included the HOX genes HOXB4, −D4, −B5, and -B6 (Fig. 4A) reflecting the well-known distribution of HOX gene expression along the rostro-caudal axis. In line with this, the more anteriorly expressed HOX genes, HOXB1 and –B2 were included in the nodose/petrosal grouping (Fig. 4A).

Surprisingly, POU4F1/BRN3A, a well-known marker of somatosensory neurons in mammals [11, 36], was not among our list of selected markers. This prompted us to verify the presence and identity of POU4 family genes in the chicken genome. We found two genes that correspond to the mammalian Pou4f1/Brn3a and Pou4f2/Brn3b, and an orthologue of amphibian Pou4f1.2 which was not found in mammals (Additional file 9: Figure S5A). Analysis of the number of reads mapping to the POU4F1 and POU4F1.2 loci (see Material and Methods) showed that the two genes collectively are expressed at higher levels in the somatosensory than in the viscerosensory ganglia, as shown previously by in situ hybridization [14, 37] (Additional file 9: Figure S5B).

GO analysis of the panel of high-confidence marker genes as a whole demonstrated significant enrichments for categories associated with the extracellular compartment, which may be a reflection of signalling processes, and with transcription factors (Fig. 4B; Additional file 10). There were also significant enrichments in terms associated with blood vessel development, likely to reflect the known overlap between mechanisms regulating blood vessel and nerve guidance [38] (Fig. 4B).

Validation and expression pattern of selected markers

Rather than validate gene expression for each grouping of ganglia, we chose to focus on the groupings that gave us markers of distinct sensory modalities, selecting genes representative of trigeminal for general somatosensory, vestibulo-acoustic for special somatosensory, and nodose/petrosal for viscerosensory. From candidates for these ganglia, genes with the highest expression levels and fold change of differential expression were selected for in situ hybridization analysis in wholemount and on sections of chicken embryos at stage HH21 (Figs. 5, 6, 7 and 8). Priority was given to transcription factors because they are most likely to regulate the acquisition of sensory phenotype. We recognise that our validation was not comprehensive and that it does not exclude the possibility that other genes in the panel are equally good or even better markers.

Fig. 5
figure 5

Expression patterns of trigeminal ganglion-specific markers. A) Wholemount in situ hybridization of ISL1at HH21 to provide anatomical localisation of all cranial sensory ganglia. A’-A”’) Transverse sections stained with ISL1at HH21 to provide comparative sections for other markers at the level of Tmm ganglion (A’); VA ganglion (A”); and P ganglion (A”’). B-F) Wholemount in situ hybridization of trigeminal ganglion specific markers at HH21. B’-F”’) Transverse sections at the level of the Tmm ganglion (B’-F’), VA ganglion (B”-F”) and P ganglion (B”’-F”’) stained with the named marker at HH21, showing Tmm-specific expression. B-B”’) DRG11; C-C”’) PRDM12; D-D”’) GAD2; E-E”’) CHRNA3; F-F”’) CHRNB4. Levels of staining in the trigeminal ganglion vary, but are stronger when compared with other ganglia. Staining can be seen in the NT although specific localisation and level varies. The dark staining in the eye and OV in D-F was not observed on sections and likely represents background. Abbreviations: G: geniculate ganglion; N: nodose ganglion; NT: neural tube; OV: otic vesicle; P: petrosal ganglion; r: rhombomere; Top: trigeminal ophthalmic lobe; Tmm: trigeminal maxillomandibular lobe; VA: vestibulo-acoustic ganglion. Scalebars: A-F: 500 μm; A’-F”’: 150 μm

Fig. 6
figure 6

Expression patterns of vestibulo-acoustic ganglion-specific markers. A-F) Wholemount in situ hybridization of vestibulo-acoustic ganglion specific markers at HH21. A’-F”’) Transverse sections at the level of the Tmm ganglion (A’-F’), VA ganglion (A”-F”) and P ganglion (A”’-F”’) stained with the named marker at HH21, showing VA-specific expression. A-A”’) ESRRG; B-B”’) HMX3; C-C”’) IRX2; D-D”’) POU6F2; E-E”’) RUNX1; F-F”’) FGF9. Levels of staining in the vestibulo-acoustic ganglion vary, but are stronger when compared with other ganglia. In ESRRG staining is also seen in nascent neurons migrating from the OV (arrowhead). Staining can be seen in the NT although specific localisation and level varies. The dark staining in the eye and OV in B and E was not observed on sections and likely represents background. Abbreviations: NT: neural tube; OV: otic vesicle; P: petrosal ganglion; Tmm: trigeminal maxillomandibular lobe; VA: vestibulo-acoustic ganglion; arrowhead: nascent neurons migrating from OV. Scalebars: A-I: 500 μm; A’-I”’: 150 μm

Fig. 7
figure 7

Expression patterns of vestibulo-acoustic ganglion-specific markers. A-C) Wholemount in situ hybridization of vestibulo-acoustic ganglion specific markers at HH21. A’-C”’) Transverse sections at the level of the Tmm ganglion (A’-C’), VA ganglion (A”-C”) and P ganglion (A”’-C”’) stained with the named marker at HH21, showing VA-specific expression. A-A”’) LRRK1; B-B”’) PKDCCB; C-C”’) SCN3A. Levels of staining in the vestibulo-acoustic ganglion vary, but are stronger when compared with other ganglia. In LRRK1, PKDCCB and SCN3A staining is also seen in nascent neurons migrating from the OV (arrowhead). Staining can be seen in the NT although specific localisation and level varies. The dark staining in the eye and OV in A-C was not observed on sections and likely represents background. Abbreviations: NT: neural tube; OV: otic vesicle; P: petrosal ganglion; Tmm: trigeminal maxillomandibular lobe; VA: vestibulo-acoustic ganglion; arrowhead: nascent neurons migrating from OV. Scalebars: A-I: 500 μm; A’-I”’: 150 μm

Fig. 8
figure 8

Expression patterns of epibranchial ganglia-specific markers. A-F) Wholemount in situ hybridization of epibranchial ganglia-specific markers at HH21. A’-F”’) Transverse sections at the level of the Tmm ganglion (A’-F’), VA ganglion (A”-F”) and P ganglion (A”’-F”’) stained with the named marker at HH21, showing P-specific expression. A-A”’) PHOX2B; B-B”’) PROX2; C-C”’) SHOX; D-D”’) CTXN1; E-E”’) PDZRN4; F-F”’) SULT4A1. Levels of staining in the epibranchial ganglia vary, but are stronger when compared with other ganglia. Staining can be seen in the NT although specific localisation and level varies. The dark staining in the eye and OV in A, B, D and F was not observed on sections and likely represents background. Abbreviations: G: geniculate ganglion; N: nodose ganglion; NT: neural tube; OV: otic vesicle; P: petrosal ganglion; Tmm: trigeminal maxillomandibular lobe; VA: vestibulo-acoustic ganglion. Scalebars: A-F: 500 μm; A’-F”’: 150 μm

Trigeminal ganglion-specific markers

The localisation of the cranial sensory ganglia in the HH21 chick can be clearly visualised by in situ hybridisation with ISL1, a marker of specific neuronal subsets including sensory neurons, which we include to allow comparison with expression in all ganglia (Fig. 5A). The trigeminal ganglion with two lobes, maxillomandibular and ophthalmic, lies at the level of the anterior hindbrain and in cross-section the ganglion can be seen adjacent to rhombomere (r)2 (Fig. 5A, A’). The transcription factor-encoding gene DRG11 (also known as DRGX, PRRXL1) was our positive control for the trigeminal ganglion [30, 32, 39, 40] (Fig. 5B-B”’).

In the category of transcriptional regulators we analysed expression of PRDM12 (PR homology domain-containing member 12). PRDM12, which is essential for human pain perception, and is required for sensory neuron development in mouse and Xenopus [4143], showed strong trigeminal expression, with little to no staining in the other cranial sensory ganglia (Fig. 5C-C”’).

As markers with a potential link to adult neuronal function we analysed expression of GAD2 (GABA synthetic enzyme GAD65) and CHRNA3 and CHRNB4 (nicotinic acetylcholine receptor subunits alpha3 and beta4). GAD2 expression in the PNS has been described in DRG (chick) and trigeminal ganglia (rat), and Gad2 knockout mice are sensitised to pain [4446]. Neuronal nicotinic receptors composed of α3β4 subunits that are more restricted in expression than other subtypes, are present and show specific functions in the trigeminal ganglion of rat [4749]. Our in situ hybridisation analysis showed GAD2, CHRNA3 and CHRNB4 staining in the trigeminal ganglion (Fig. 5D-F”’), which, in section, was weaker and in fewer neurons than DRG11 and PRDM12 (Fig. 5B’-F’).

Many of the trigeminal markers were expressed elsewhere in the embryo, but importantly, expression was not seen in the other cranial sensory ganglia (Fig. 5; Table 1). We focus here on hindbrain expression as it is relevant when considering potential sensory circuits. Many of the markers showed expression at the level of r2, the entry point in the hindbrain for trigeminal axons, yet the anatomical extent of staining varied. PRDM12 was observed in a domain of strong staining in the ventral hindbrain extending from r2 into the spinal cord, and a domain of weaker staining restricted to dorsal r2 (Fig. 5C). DRG11 was detected in a distinct domain in dorsal r2 extending caudally to the otic vesicle (Fig. 5B). GAD2 expression was seen to extend anteriorly into r1, but with no distinct domain in r2 (Fig. 5D). Expression of CHRNA3 and CHRNB4 was not observed in the hindbrain (Fig. 5E, F).

Table 1 Summary of selected marker genes expression in the head as assessed by in situ hybridization

Vestibulo-acoustic ganglion-specific markers

The vestibulo-acoustic ganglion can be seen clearly with ISL1 expression, located anterior-medial to the otic vesicle (Fig. 5A) In cross-section the vestibulo-acoustic ganglion is localised between the anterior otic vesicle and r4/r5 of the hindbrain (Fig. 5A”).

There was not a strong positive control gene for the vestibulo-acoustic ganglion because a molecular distinction between special and general somatosensory has not been described previously. However, two transcriptional regulators, ESRRG (estrogen-related receptor gamma) and HMX3 (H6 family homeobox 3; also known as NKX5.1), have demonstrated roles in the development of inner ear structures and are important for hearing in both mice and humans [5055]. Here our analysis showed expression of HMX3 in the ventromedial vestibulo-acoustic ganglion and ESRRG in the dorsolateral vestibulo-acoustic ganglion, as well as in nascent neuronal cells migrating into the vestibulo-acoustic ganglion from the otic vesicle (Fig. 6A-B”’).

In the category of transcriptional regulators, we analysed expression of IRX2 (Iroquois homeobox gene family member 2); POU6F2 (POU domain, class 6, transcription factor 2; also known as RPF1) and, RUNX1 (runt-related transcription factor 1; also known as AML1, Cbfa2). Expression patterns of IRX2 and POU6F2 have been described in the developing chick and mouse but no role has been reported in the vestibulo-acoustic ganglion [5659]. In mouse RUNX1 has a role in the development of the vestibulo-acoustic ganglion [60] but is also expressed in TrkA+ nociceptive sensory neurons of the head and trunk, including a scattered population in the trigeminal ganglion [60, 61]. In our analysis IRX2 expression was seen in the whole vestibulo-acoustic ganglion as well as the ventral otic vesicle corresponding to the location of vestibulo-acoustic ganglion neuron production (Fig. 6C”). POU6F2 and RUNX1 were expressed specifically in sub-divisions of the dorsolateral vestibulo-acoustic ganglion (Fig. 6D”, E”).

As markers with a potential link to signalling we analysed expression of the signalling molecule FGF9, and two kinases: LRRK1 (leucine-rich repeat kinase 1) and PKDCCB (protein kinase domain containing, cytoplasmic b; ENSGALG00000011166: a paralogue of PKDCC also known as VLK). FGF9 is important for development of aspects of the inner ear including the cochlear sensory cells (also known as hair cells), but weak expression has also been reported in the mouse cochlear/acoustic ganglion (part of the vestibulo-acoustic ganglion complex) [62, 63]. Neither LRRK1 nor PKDCCB has previously been linked to the vestibulo-acoustic complex [6467]. Our analysis showed expression of FGF9 in the whole vestibulo-acoustic ganglion and LRRK and PKDCCB in the dorsolateral vestibulo-acoustic ganglion (Fig. 6F-F” and Fig. 7A-B”).

As a marker linked to adult neuronal function we analysed expression of SCN3A (voltage gated sodium channel type 3, alpha subunit) which in humans lies within a chromosomal locus associated with hearing loss. Expression of SCN3A has not been characterised in the vestibulo-acoustic ganglion in humans or mice [68]. Our analysis showed expression in the dorsolateral vestibulo-acoustic ganglion (Fig. 7C, C”).

In addition to the vestibulo-acoustic ganglion, all of the analysed genes showed expression elsewhere in the embryo (Figs. 6 and 7; Table 1). SCN3A and LRRK1 showed weak staining in other cranial sensory ganglia, but were significantly stronger in the vestibulo-acoustic ganglion. Within the hindbrain the extent of expression varied. Analysis of sections at r4, the site of vestibulo-acoustic ganglion axon entry, showed ESRRG, POU6F2, PKDCCB, and SCN3A staining in a similar pattern from dorsal to ventral (Fig. 6A”, D” and Fig. 7B”, C”). HMX3 and RUNX1 were expressed in discrete domains in dorsal r4 and in ventral regions extending beyond r4 (Fig. 6B”, E”). LRRK1 signal was found in a restricted ventral domain (Fig. 7A”) while IRX2 and FGF9 staining was broadly distributed throughout the r4 neuroepithelium (Fig. 6C”, F”).

Epibranchial ganglia-specific markers

The petrosal and nodose ganglia represent the epibranchial series of cranial sensory ganglia which can be identified clearly in the HH21 ISL1 stained embryo (Fig. 5A). In cross-section, we focused on the petrosal ganglion located near the pharyngeal endoderm, at a distance from r6/7 of the hindbrain (Fig. 5A”’). The transcription factor PHOX2B represented the positive control for the epibranchial ganglia [21, 3335] (Fig. 8A, A”’).

We analysed expression of two transcription factors-encoding genes: PROX2 (prospero-related homeobox gene family, member 2) and SHOX (short stature homeobox transcription factor). PROX2 expression has been described in cranial sensory ganglia in zebrafish and more specifically in the epibranchial ganglia in mouse [69, 70]. SHOX, important for growth in humans and zebrafish, is absent in mouse where instead the related gene Shox2 is required for long bone growth [7173]. Roles for mouse Shox2 in neuronal development have been shown, and expression reported in cranial sensory ganglia [74, 75]. Our analysis showed specific expression of PROX2 and SHOX in the epibranchial ganglia (Fig. 8B-C”’). In cross section the staining for these markers was scattered throughout the ganglion, suggesting that these genes’ expression may differentiate subsets of neurons (Fig. 8B”’, C”’).

Other genes which we identified as good markers of the epibranchial ganglia have not been well studied at either the expression or functional level. CTXN1 (Cortexin 1), encodes a single trans-membrane domain protein identified in mouse and rat cortex [76]. PDZRN4 (PDZ and Ring domain-containing family member 4; also known as LNX4 (ligand of Numb protein-X)) was identified in silico and remains largely uncharacterised [7779]. SULT4A1 is a member of the sulfotransferase family, cytosolic enzymes proposed to play roles in the modulation of certain neurotransmitters, and is expressed in the human and rat brain [80, 81]. Our analysis showed expression in the epibranchial ganglia (Fig. 8D-F). As for PROX2 and SHOX, the proportion of cells stained in the petrosal ganglion varied with each marker (Fig. 8E”’, F”’).

All of these genes showed expression elsewhere in the embryo, with the most restricted being PROX2 (Fig. 8; Table 1). SULT4A1 showed weak staining in the other cranial sensory ganglia, but was significantly stronger in the epibranchial ganglia (Fig. 8F’-F”’). In the hindbrain our analysis focused on r6, the site of entry for petrosal axons. SHOX expression resembled that of PHOX2B, with discrete staining in dorsal and ventral domains, and a small number of stained cells extending between these two domains (Fig. 8A”’, C”’). PDZRN4 also showed distinct dorsal and ventral domains of staining (Fig. 8E”’), while CTXN1 or SULT4A1 expression was restricted to a very small ventral domain (Fig. 8D”’, F”’).

The expression patterns of 20 out of 26 tested markers validated the differential expression in cranial sensory ganglia revealed by RNA-seq (Table 1). For each group there were exceptions where the in situ hybridisation analysis did not match expectations. These fell into two categories: i) genes which showed no, or very low, in situ signal where expected (LHX4, OTX2, TOX2) (Additional file 11: Figure S6A-C); and ii) genes which showed high in situ signal in surrounding tissue but not in the ganglion (MECOM, PRRX1 and PRRX2) (Additional file 11: Figure S6D-F).

Discussion and conclusions

It has long been recognised that the cranial sensory ganglia represent distinct sensory functions. Nevertheless, analysis of mechanisms underlying the development of specific cranial sensory modalities has been limited by the paucity of markers for the different cell populations. To overcome this restriction we set out to identify molecular signatures for the distinct cranial sensory ganglia at early stages of neuronal differentiation. Here we report the generation of ganglion-specific expression profiles using transcriptome-wide analysis of placode-derived neurons from isolated cranial sensory ganglia in the developing chicken embryo. Differential expression analysis of the resultant data set showed differences in the profiles that correlate with distinct functions and sensory modalities. Principal component analysis revealed three separate clusters, capturing the segregation of the cranial sensory ganglia into viscerosensory epibranchial ganglia (nodose/petrosal); general somatosensory trigeminal ganglia; and special somatosensory ganglia (vestibulo-acoustic ganglion). Our study was not designed to assess the distinction between cranial and trunk sensory neurons. Using stringent selection criteria, we report a total of 134 marker genes specific for particular cranial ganglia or groups of ganglia, and show validation of 20/26 by in situ hybridization. Of our panel of marker genes, around 20 were known to have either described expression in sensory neurons, or a link to dysfunction of the relevant sensory system. However, 113 were entirely novel, with no previously described sensory neuron-specific expression. Importantly, we identify and validate several marker genes that differentiate between the trigeminal and vestibulo-acoustic neurons, providing the first molecular signature for the distinction between embryonic “general” and “special” somatosensory neurons. Our validation was restricted to a single stage (HH 21) in a single species (chick), and the observed differential expression might be a consequence of temporal differences in the onset of expression. However, we expect the markers to be generally valid across stages and vertebrate species.

The range of genes encompassed by our panel included transcriptional regulators, components of signalling pathways and ion channels (Fig. 4; Additional file 8). As a resource this panel of ganglion-specific markers will enable us to analyse experiments in greater depth to further our understanding of the acquisition of the respective sensory modality. They will be important in unambiguously determining the fate adopted by cells when extracellular signals or transcriptional regulators are modulated in experimental settings, for example in protocols aimed to derive specific sensory neurons from human pluripotent stem cells [82].

At an individual gene level, it will be interesting to investigate their roles in producing or maintaining sensory phenotype through knockdown and ectopic expression in the future. It is possible that transcription factors play a role as regulators of cell type identity, acting in concert with known genes such as BRN3A and PHOX2B [11, 83]. We also note that several ligands and receptors, all of which have a demonstrated role in cell migration and/or axon guidance, were expressed differentially between the classes of cranial sensory ganglia, such as the netrin family gene NTNG1 and the Robo ligand SLIT3 in nodose/petrosal viscerosensory neurons, or the chemokine receptor CXCR4 in trigeminal (ophthalmic/maxillo-mandibular) and vestibulo-acoustic somatosensory neurons [8486].

The ganglion-specific expression was readily apparent for the majority of the markers tested. Within each group we found cases which further showed expression in the target region for ganglionic projections in the hindbrain. For example, we showed expression of ESSRG and POU6F2 in the dorsal-most domain specifically at r4-5 level, where vestibulo-acoustic ganglion afferents enter the brainstem. Such co-ordinate gene expression in both sensory neurons and their target central neurons has been shown to be important for correct connectivity in both head and trunk [11, 39, 87]. Thus, our data supports the idea of a “sensory type code” aligning sensory neurons with central neurons of the same circuit. This might have functional consequences in the establishment of specific viscero- and somatosensory circuits and/or represent ancient evolutionary relationships.

Genome-wide analysis of gene expression considered pooled populations of neurons from each cranial ganglion, revealing groups of viscerosensory, general somatosensory and special somatosensory neurons. Our analysis of expression patterns by in situ hybridisation demonstrated that, as established in the trunk somatosensory population [2, 3], there are further subsets within these populations. It is recognised that the vestibulo-acoustic ganglion represents a complex of two smaller ganglia individually containing neurons involved in balance and hearing [88]. Interestingly, comparison in transverse section of all vestibulo-acoustic ganglion markers showed that they occupied different regions (Figs. 6 and 7). This may be due to expression in specific subgroups of neurons such as vestibular neurons versus auditory neurons, known to occupy separate regions within the vestibulo-acoustic ganglion complex in mouse [88]. Further analysis would have to be performed to determine the allocation to specific functions. Many of the trigeminal and epibranchial ganglia markers exhibited scattered expression rather than homogeneous staining throughout the ganglion as observed for ISL1 or PHOX2B (Figs. 5, 6, 7 and 8). Thus, our markers highlight further complexity in the specific subtypes of sensory neuron.

The broad distinction between viscero- and somatosensory neurons has been more widely studied. The viscerosensory system is important in controlling the body’s internal milieu including many autonomic reflexes such as baroreflex regulation of the cardiovascular system [89], hypoxia regulation of the ventilatory response [90] and nutrient-induced inhibition of food-intake [91]. The general somatosensory system is involved in response to external stimuli: in rodents the importance of touch from the whiskers can be seen in the somatotopy of the whisker barrels in the cerebral cortex [92]; in humans trigeminal involvement in pain sensation can become problematic leading to migraine and trigeminal neuralgia [93]. To date the molecular fingerprint used to recognise developing viscerosensory neurons is Phox2a + Phox2b + Ret + Brn3aDrg11Runx1–, while that for somatosensory neurons is Phox2aPhox2bRetBrn3a + Drg11+ Runx1+. Using this limited marker set, a seminal study found that Phox2b acts as a regulatory switch between the two phenotypes: in Phox2b mutant mice, the neurons of the epibranchial ganglia up regulate Brn3a leading to expression of Drg11 and Runx1, and hence to the conclusion that they become somatosensory [11]. It would be interesting to re-examine this situation more closely using our data set to determine how complete this transition is, and whether the resulting somatosensory cells are more similar to trigeminal or vestibulo-acoustic neurons.

Analysis in Brn3a mutant mice showed changes in the subtype of somatosensory neuron specified within the trigeminal ganglion, but did not examine whether the neurons switched to a viscerosensory phenotype [83]. The studies did however, show a de-repression of genes interpreted as non-neuronal [94]. Interestingly using our panel of markers for specific cranial sensory neuronal populations, we can now identify some of these genes as markers of the viscerosensory ganglia (e.g., ANGPTL1; PROX2) or special somatosensory ganglia (e.g., IRX2) [94].

A complementary approach to address the generation of different cranial sensory neuron phenotypes has been to focus on the embryonic origins of the cranial sensory ganglia. There are distinct neurogenic placodes for each cranial sensory ganglion, each of which has an individual developmental profile [95, 96]. Many studies have built up our understanding of patterning the specific neurogenic placodes within the cranial ectoderm across species [97]. However, while this describes the mechanisms underlying the generation of the neurogenic placodes, it does not address how or why progenitors located in different placodes acquire distinct neuronal phenotypes. It will be interesting to interfere with aspects of neurogenic placode development, for example by transplantation or treatment with specific signalling molecules [7, 9, 10], and to use our panel of molecular markers to determine the effects on viscero- versus somatosensory neuronal differentiation.

The organisation and function of the cranial sensory ganglia is highly conserved across vertebrates. The origin of the cranial sensory ganglia from neurogenic placodes also attracts considerable interest from an evolutionary perspective. Historically neurogenic placodes have, together with neural crest cells, been suggested to be vertebrate innovations, enabling the transition to a predatory lifestyle [98], and their presence in other organisms has been examined [96, 97, 99, 100]. As with development, many of the studies to date focus on the evolution of neurogenic placodes rather than their derived sensory neurons. Provided homologous genes can be found in other organisms, our molecular profiles will be invaluable in considering the evolutionary origin of the distinct sensory neuronal phenotypes [96].


Embryonic dissection

Fertilized chicken eggs (Winter Egg Farm, UK) were incubated in a humidified chamber at 38 °C to the correct Hamburger and Hamilton (HH) stage of development [22]. To compensate for differences in the timing of migration and neuronal differentiation/maturation in the different ganglia relative to the age of the embryo, trigeminal maxillomandibular and ophthalmic and vestibulo-acoustic ganglia were dissected at HH18, while the nodose and petrosal were dissected at HH23 [7, 21]. These stages also take into account that neural crest-derived neurons differentiate at later stages in the respective ganglia [6, 8]. The cranial nerve ganglia were dissected in L15 medium (Gibco) using electrolytically sharpened 0.125 mm tungsten wire, nerve processes and mesenchyme were removed and pooled ganglia kept on ice in L15 for 0–3 h until dissociation. For each ganglion type, the left and right ganglia of 40–60 embryos were pooled. All three replicates of the different ganglia were collected independently from new individuals.

Electroporations and immunostaining on sections

Eggs were windowed at HH12 and pCAβ-EGFPm5 vector electroporated into the neural crest on one side of the embryo (n = 4) using an Electro Square Porator ECM 830 (BTX.Inc) by applying 5 pulses (6 V, 25 ms) at 1 s intervals. Eggs were sealed and incubated until HH18. The embryos were fixed in 4 % paraformaldehyde in phosphate buffered saline (PBS) for 2 h on ice, kept in 30 % sucrose in PBS for 3 h at 4 °C and embedded in OCT compound (Andwin Scientific) for cryo-sectioning. 10 μm sections were stained with anti-NFM (clone RMO270, Invitrogen, 1:5000) primary and Alexa596 anti-mouse (Life Technologies) secondary antibodies.

Antibody staining and FACS

Cells were dissociated in trypsin-EDTA (Gibco) for 5 min at 37 °C followed by inactivation with defined trypsin inhibitors (Gibco) and trituration with a 200 μl pipette tip. At all subsequent steps cells were pelleted in protein LoBind tubes (Eppendorf) at 500xg for 1 min at 4 °C and otherwise kept on ice. Live cells were treated with Near-IR fixable live/dead stain (Invitrogen) in PBS for 5 min according to the manufacturer’s instructions. Cells were fixed for 10–15 min in 200 μl 4 % paraformaldehyde made in MOPS buffered saline (MBS) containing 0.1 M MOPS pH7.4, 1 mM EGTA, 2 mM MgSO4 and 125 mM NaCl. Cells were permeabilized in permeabilization buffer (PB) containing 2 % BSA, 0.1 % saponin, 5 mM DTT and 100U/ml RNAse inhibitor (Roche) in MBS. Remnants of paraformaldehyde were inactivated by addition of glycine pH 8.0 to a final concentration of 100 mM. Cells were subsequently incubated 10–15 min on ice in anti-NFM in PB (clone RMO270, Invitrogen, 1:5000). The primary antibody was replaced by anti-mouse Alexa488 secondary antibody in PB (Invitrogen, 1:1000) and cells were incubated 10 min on ice. Cells were washed briefly in MOPS-RNasin-DTT-BSA (MRDB) buffer containing 2 % BSA, 5 mM DTT and 100U/ml RNAse inhibitor (Roche) in MBS, re-suspended in 70 μl RNA-later (Ambion) and kept overnight at 4 °C. Cells were diluted by addition of 250 ml MRDB, pelleted and resuspended in 400 μl MRDB. Cells were sorted on a MoFlo Astrios sorter. Gates were set using a control sample from HH23 limb bud treated in the same way as the cranial nerve ganglia samples. The control limb sample included 50 % of cells killed by a 5 min 60 °C heat shock to set the gate for live/dead staining. Cells were sorted into 1.5 ml protein low-bind tubes containing 70 μl MRDB chilled to 4 °C during sorting. The cells were pelleted in MRDB and lyzed in RLT lysis buffer (Qiagen) containing 1 % 2-mercaptoethanol.

RNA extraction and sequencing

Total RNA was extracted using an RNeasy micro kit (Qiagen) using the modified protocol for fixed cells as per the manufacturer’s instructions. Genomic DNA was eliminated by an on-column DNase-I treatment. RNA integrity was assessed using the Experion system (Biorad) and RNA quantity was measured using Qubit high-sensitivity kit. Libraries were prepared using Illumina mRNA-seq kit incorporating poly-(A) selection without further amplification and 100 bp paired-end reads were sequenced on an Illumina Hi-seq 2000 platform at the High-Throughput Genomics unit at the Wellcome Trust Centre for Human Genomics, Oxford, UK. Three biological replicates of each sample were generated and assigned to different lanes, with 5 samples multiplexed on each lane. The raw reads have been uploaded to the Short Read Archive (SRA, Accession number SRP068496).

Read mapping, quantification, and differential expression

Read quality was assessed using FASTQC. rRNA reads were identified by mapping the raw reads to chicken rRNA sequences (accession numbers: Galga 18S rRNA HQ873432.1; Galga 28S rRNA EF552813.1; Galga 5S rRNA NR046276.1; Galga 5.8S rRNA DQ018753.1) and removed from the dataset. After removal of the identified rRNA, unprocessed reads were aligned to the galGal4 chicken genome assembly (Ensembl Release 71) using the splice-aware sequence aligner Gsnap [101]. MISO [102] was used to determine an average expected insert size of 116 ± 72 bp. These values were then applied in a subsequent Gsnap iteration for more accurate paired alignment. HTseq count [103] was used on the most conservative setting (intersection strict) to count reads mapped to gene models, which were determined using the Ensembl galGal4 reference genome, version 71. Normalization was performed with DEseq [26] and EdgeR [104]. Differential expression analysis was performed with both DESeq and EdgeR, with differentially expressed genes defined as only those returned by both of these methods of analysis, with an FDR (q-value) of 0.05 or below.

Selection of markers

Prior to estimating the gene expression of ganglia-specific markers, duplicated read pairs were identified using Picard Tools’ Mark Duplicates function. Markers were selected from this pool of differentially expressed genes through the following criteria: 1) expression levels 1.5-fold higher in all samples of the high-group than all samples in the low-group; 2) minimum RPKM of 10 in the high-group; and 3) q-value < 0.05 in both DESeq and EdgeR analyses.

Functional annotation

Gene Ontology (GO) term enrichment analyses were implemented through DAVID [105]. This analysis was applied to the differentially expressed genes identified for each ganglion and groups of ganglia in turn, against a background of all expressed genes, where expressed genes are defined as those where at least one transcript of that gene had a minimum of 80 % coverage. The threshold for significance was set as below 0.05 for the Benjamini and Hochberg q-value returned by DAVID.

Analysis of POU4F1

Since no gene model for POU4F1 was included in the genome version used, reads mapped as described to the GENBANK model XM_003640558.2 were counted using HTseq with the same settings as for the Ensembl gene models as described above.

Pou4 family protein sequences were collected from GENBANK using a BLASTp approach and aligned using MAFFT with default settings. The alignment was trimmed manually in BioEdit [106]. A maximum likelihood tree was built using MEGA version 5.2 [107]. The Jones-Taylor-Thornton (JTT) amino acid substitution matrix was used and 150 bootstrap iterations were used to obtain support values at each node.


Chick cDNA from HH18-24 heads was used for PCR cloning of the markers tested. See primers below. Products were cloned into pGEMT (Promega) or pCRII (Invitrogen).

Gene name

Forward primer

Reverse primer









































































Other constructs were obtained: DRG11 from Prof. J Cohen (KCL, London), PHOX2B from Prof, JF Brunet (ENS, Paris).

In situ hybridisation

Wholemount in situ hybridisation was carried out as described previously [8] with incubation at 65 °C. An RNAse incubation step (15mins, 37 °C) was included post-hybridisation. For in situ hybridization on section, embryos were fixed in 4 % paraformaldehyde in MOPS buffer (MB) containing 100 mM MOPS (pH 7.5), 1 mM EGTA and 2 mM MgSO4 for 12 h at 4 °C. Embryos were then treated in 15 % sucrose in MB for 10 h and 30 % sucrose in MB for 2 h, and embedded in OCT compound (Andwin Scientific). 10 μm cryosections were collected and processed for in situ hybridization as previously described [108].


  1. Le Pichon CE, Chesler AT. The functional and anatomical dissection of somatosensory subpopulations using mouse genetics. Front Neuroanat. 2014;8:21.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. Chiu IM, Barrett LB, Williams EK, Strochlic DE, Lee S, Weyer AD, et al. Transcriptional profiling at whole population and single cell levels reveals somatosensory neuron molecular diversity. eLife. 2014;3.doi: 10.7554/eLife.04660.

  3. Usoskin D, Furlan A, Islam S, Abdo H, Lonnerberg P, Lou D, et al. Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing. Nat Neurosci. 2015;18(1):145–53.

    Article  PubMed  CAS  Google Scholar 

  4. Bear MF, Connors BW, Paradiso MA. Neuroscience: exploring the brain. 3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2007.

    Google Scholar 

  5. Romer AS. The vertebrate body. 3rd ed. Philadelphia: Saunders; 1962.

    Google Scholar 

  6. D’Amico-Martel A, Noden DM. Contributions of placodal and neural crest cells to avian cranial peripheral ganglia. Am J Anat. 1983;166(4):445–68.

    Article  PubMed  Google Scholar 

  7. Blentic A, Chambers D, Skinner A, Begbie J, Graham A. The formation of the cranial ganglia by placodally-derived sensory neuronal precursors. Mol Cell Neurosci. 2011;46(2):452–9.

    Article  PubMed  CAS  Google Scholar 

  8. Thompson H, Blentic A, Watson S, Begbie J, Graham A. The formation of the superior and jugular ganglia: insights into the generation of sensory neurons by the neural crest. Dev Dyn. 2010;239(2):439–45.

    Article  PubMed  Google Scholar 

  9. Baker CV, Bronner-Fraser M. Establishing neuronal identity in vertebrate neurogenic placodes. Development. 2000;127(14):3045–56.

    PubMed  CAS  Google Scholar 

  10. Baker CV, Stark MR, Marcelle C, Bronner-Fraser M. Competence, specification and induction of Pax-3 in the trigeminal placode. Development. 1999;126(1):147–56.

    PubMed  CAS  Google Scholar 

  11. D’Autreaux F, Coppola E, Hirsch MR, Birchmeier C, Brunet JF. Homeoprotein Phox2b commands a somatic-to-visceral switch in cranial sensory pathways. Proc Natl Acad Sci U S A. 2011;108(50):20018–23.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Lu VB, Ikeda SR, Puhl 3rd HL. A 3.7 kb fragment of the mouse Scn10a gene promoter directs neural crest but not placodal lineage EGFP expression in a transgenic animal. J Neurosci. 2015;35(20):8021–34.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  13. Nassenstein C, Taylor-Clark TE, Myers AC, Ru F, Nandigama R, Bettner W, et al. Phenotypic distinctions between neural crest and placodal derived vagal C-fibres in mouse lungs. J Physiol. 2010;588(Pt 23):4769–83.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  14. Begbie J, Ballivet M, Graham A. Early steps in the production of sensory neurons by the neurogenic placodes. Mol Cell Neurosci. 2002;21(3):502–11.

    Article  PubMed  CAS  Google Scholar 

  15. Begbie J, Brunet JF, Rubenstein JL, Graham A. Induction of the epibranchial placodes. Development. 1999;126(5):895–902.

    PubMed  CAS  Google Scholar 

  16. Canning CA, Lee L, Luo SX, Graham A, Jones CM. Neural tube derived Wnt signals cooperate with FGF signaling in the formation and differentiation of the trigeminal placodes. Neural Dev. 2008;3:35.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Freter S, Muta Y, Mak SS, Rinkwitz S, Ladher RK. Progressive restriction of otic fate: the role of FGF and Wnt in resolving inner ear potential. Development. 2008;135(20):3415–24.

    Article  PubMed  CAS  Google Scholar 

  18. McCabe KL, Sechrist JW, Bronner-Fraser M. Birth of ophthalmic trigeminal neurons initiates early in the placodal ectoderm. J Comp Neurol. 2009;514(2):161–73.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Alsina B, Abello G, Ulloa E, Henrique D, Pujades C, Giraldez F. FGF signaling is required for determination of otic neuroblasts in the chick embryo. Dev Biol. 2004;267(1):119–34.

    Article  PubMed  CAS  Google Scholar 

  20. Nolte J. The human brain: an introduction to its functional anatomy. 5th ed. St Louis: Mosby; 2001.

    Google Scholar 

  21. Smith AC, Fleenor SJ, Begbie J. Changes in gene expression and cell shape characterise stages of epibranchial placode-derived neuron maturation in the chick. J Anat. 2015;227(1):89–102.

    Article  PubMed  Google Scholar 

  22. Hamburger V, Hamilton HL. A series of normal stages in the development of the chick embryo. 1951. Dev Dyn. 1992;195(4):231–72.

    Article  PubMed  CAS  Google Scholar 

  23. Xu H, Dude CM, Baker CV. Fine-grained fate maps for the ophthalmic and maxillomandibular trigeminal placodes in the chick embryo. Dev Biol. 2008;317(1):174–86.

    Article  PubMed  CAS  Google Scholar 

  24. Schlosser G, Northcutt RG. Development of neurogenic placodes in Xenopus laevis. J Comp Neurol. 2000;418(2):121–46.

    Article  PubMed  CAS  Google Scholar 

  25. Pan Y, Ouyang Z, Wong WH, Baker JC. A new FACS approach isolates hESC derived endoderm using transcription factors. PLoS One. 2011;6(3):e17536.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  26. Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biol. 2010;11(10):R106.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  27. Zhou X, Lindsay H, Robinson MD. Robustly detecting differential expression in RNA sequencing data using observation weights. Nucleic Acids Res. 2014;42(11):e91.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  28. Dude CM, Kuan CY, Bradshaw JR, Greene ND, Relaix F, Stark MR, et al. Activation of Pax3 target genes is necessary but not sufficient for neurogenesis in the ophthalmic trigeminal placode. Dev Biol. 2009;326(2):314–26.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  29. Pieper M, Eagleson GW, Wosniok W, Schlosser G. Origin and segregation of cranial placodes in Xenopus laevis. Dev Biol. 2011;360(2):257–75.

    Article  PubMed  CAS  Google Scholar 

  30. Jacquin MF, Arends JJ, Xiang C, Shapiro LA, Ribak CE, Chen ZF. In DRG11 knock-out mice, trigeminal cell death is extensive and does not account for failed brainstem patterning. J Neurosci. 2008;28(14):3577–85.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  31. Rebelo S, Chen ZF, Anderson DJ, Lima D. Involvement of DRG11 in the development of the primary afferent nociceptive system. Mol Cell Neurosci. 2006;33(3):236–46.

    Article  PubMed  CAS  Google Scholar 

  32. Rhinn M, Miyoshi K, Watanabe A, Kawaguchi M, Ito F, Kuratani S, et al. Evolutionary divergence of trigeminal nerve somatotopy in amniotes. J Comp Neurol. 2013;521(6):1378–94.

    Article  PubMed  Google Scholar 

  33. Pattyn A, Morin X, Cremer H, Goridis C, Brunet JF. Expression and interactions of the two closely related homeobox genes Phox2a and Phox2b during neurogenesis. Development. 1997;124(20):4065–75.

    PubMed  CAS  Google Scholar 

  34. Holzschuh J, Wada N, Wada C, Schaffer A, Javidan Y, Tallafuss A, et al. Requirements for endoderm and BMP signaling in sensory neurogenesis in zebrafish. Development. 2005;132(16):3731–42.

    Article  PubMed  CAS  Google Scholar 

  35. Begbie J, Graham A. Integration between the epibranchial placodes and the hindbrain. Science. 2001;294(5542):595–8.

    Article  PubMed  CAS  Google Scholar 

  36. Fedtsova NG, Turner EE. Brn-3.0 expression identifies early post-mitotic CNS neurons and sensory neural precursors. Mech Dev. 1995;53(3):291–304.

    Article  PubMed  CAS  Google Scholar 

  37. Artinger KB, Fedtsova N, Rhee JM, Bronner-Fraser M, Turner E. Placodal origin of Brn-3-expressing cranial sensory neurons. J Neurobiol. 1998;36(4):572–85.

    Article  PubMed  CAS  Google Scholar 

  38. Larrivee B, Freitas C, Suchting S, Brunet I, Eichmann A. Guidance of vascular development: lessons from the nervous system. Circ Res. 2009;104(4):428–41.

    Article  PubMed  CAS  Google Scholar 

  39. Chen ZF, Rebelo S, White F, Malmberg AB, Baba H, Lima D, et al. The paired homeodomain protein DRG11 is required for the projection of cutaneous sensory afferent fibers to the dorsal spinal cord. Neuron. 2001;31(1):59–73.

    Article  PubMed  CAS  Google Scholar 

  40. Rebelo S, Reguenga C, Osorio L, Pereira C, Lopes C, Lima D. DRG11 immunohistochemical expression during embryonic development in the mouse. Dev Dyn. 2007;236(9):2653–60.

    Article  PubMed  CAS  Google Scholar 

  41. Chen YC, Auer-Grumbach M, Matsukawa S, Zitzelsberger M, Themistocleous AC, Strom TM, et al. Transcriptional regulator PRDM12 is essential for human pain perception. Nat Genet. 2015;47(7):803–8.

    Article  PubMed  CAS  Google Scholar 

  42. Kinameri E, Inoue T, Aruga J, Imayoshi I, Kageyama R, Shimogori T, et al. Prdm proto-oncogene transcription factor family expression and interaction with the Notch-Hes pathway in mouse neurogenesis. PLoS One. 2008;3(12):e3859.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  43. Nagy V, Cole T, Van Campenhout C, Khoung TM, Leung C, Vermeiren S, et al. The evolutionarily conserved transcription factor PRDM12 controls sensory neuron development and pain perception. Cell Cycle. 2015;14(12):1799–808.

    Article  PubMed  CAS  Google Scholar 

  44. Roy G, Philippe E, Gaulin F, Guay G. Peripheral projections of the chick primary sensory neurons expressing gamma-aminobutyric acid immunoreactivity. Neuroscience. 1991;45(1):177–83.

    Article  PubMed  CAS  Google Scholar 

  45. Hayasaki H, Sohma Y, Kanbara K, Maemura K, Kubota T, Watanabe M. A local GABAergic system within rat trigeminal ganglion cells. Eur J Neurosci. 2006;23(3):745–57.

    Article  PubMed  CAS  Google Scholar 

  46. Zhang Z, Cai YQ, Zou F, Bie B, Pan ZZ. Epigenetic suppression of GAD65 expression mediates persistent pain. Nat Med. 2011;17(11):1448–55.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  47. Alimohammadi H, Silver WL. Evidence for nicotinic acetylcholine receptors on nasal trigeminal nerve endings of the rat. Chem Senses. 2000;25(1):61–6.

    Article  PubMed  CAS  Google Scholar 

  48. Flores CM, DeCamp RM, Kilo S, Rogers SW, Hargreaves KM. Neuronal nicotinic receptor expression in sensory neurons of the rat trigeminal ganglion: demonstration of alpha3beta4, a novel subtype in the mammalian nervous system. J Neurosci. 1996;16(24):7892–901.

    PubMed  CAS  Google Scholar 

  49. Gotti C, Clementi F, Fornari A, Gaimarri A, Guiducci S, Manfredi I, et al. Structural and functional diversity of native brain neuronal nicotinic receptors. Biochem Pharmacol. 2009;78(7):703–11.

    Article  PubMed  CAS  Google Scholar 

  50. Feng Y, Xu Q. Pivotal role of hmx2 and hmx3 in zebrafish inner ear and lateral line development. Dev Biol. 2010;339(2):507–18.

    Article  PubMed  CAS  Google Scholar 

  51. Herbrand H, Guthrie S, Hadrys T, Hoffmann S, Arnold HH, Rinkwitz-Brandt S, et al. Two regulatory genes, cNkx5-1 and cPax2, show different responses to local signals during otic placode and vesicle formation in the chick embryo. Development. 1998;125(4):645–54.

    PubMed  CAS  Google Scholar 

  52. Miller ND, Nance MA, Wohler ES, Hoover-Fong JE, Lisi E, Thomas GH, et al. Molecular (SNP) analyses of overlapping hemizygous deletions of 10q25.3 to 10qter in four patients: evidence for HMX2 and HMX3 as candidate genes in hearing and vestibular function. Am J Med Genet A. 2009;149A(4):669–80.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  53. Wang W, Van De Water T, Lufkin T. Inner ear and maternal reproductive defects in mice lacking the Hmx3 homeobox gene. Development. 1998;125(4):621–34.

    PubMed  CAS  Google Scholar 

  54. Hermans-Borgmeyer I, Susens U, Borgmeyer U. Developmental expression of the estrogen receptor-related receptor gamma in the nervous system during mouse embryogenesis. Mech Dev. 2000;97(1–2):197–9.

    Article  PubMed  CAS  Google Scholar 

  55. Nolan LS, Maier H, Hermans-Borgmeyer I, Girotto G, Ecob R, Pirastu N, et al. Estrogen-related receptor gamma and hearing function: evidence of a role in humans and mice. Neurobiol Aging. 2013;34(8):2077 e2071–2079.

    Article  CAS  Google Scholar 

  56. Zhou H, Yoshioka T, Nathans J. Retina-derived POU-domain factor-1: a complex POU-domain gene implicated in the development of retinal ganglion and amacrine cells. J Neurosci. 1996;16(7):2261–74.

    PubMed  CAS  Google Scholar 

  57. Yoshida S, Ueharu H, Higuchi M, Horiguchi K, Nishimura N, Shibuya S, et al. Molecular cloning of rat and porcine retina-derived POU domain factor 1 (POU6F2) from a pituitary cDNA library. J Reprod Dev. 2014;60(4):288–94.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  58. Bosse A, Zulch A, Becker MB, Torres M, Gomez-Skarmeta JL, Modolell J, et al. Identification of the vertebrate Iroquois homeobox gene family with overlapping expression during early development of the nervous system. Mech Dev. 1997;69(1–2):169–81.

    Article  PubMed  CAS  Google Scholar 

  59. Goriely A, Diez del Corral R, Storey KG. c-Irx2 expression reveals an early subdivision of the neural plate in the chick embryo. Mech Dev. 1999;87(1–2):203–6.

    Article  PubMed  CAS  Google Scholar 

  60. Theriault FM, Roy P, Stifani S. AML1/Runx1 is important for the development of hindbrain cholinergic branchiovisceral motor neurons and selected cranial sensory neurons. Proc Natl Acad Sci U S A. 2004;101(28):10343–8.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  61. Marmigere F, Montelius A, Wegner M, Groner Y, Reichardt LF, Ernfors P. The Runx1/AML1 transcription factor selectively regulates development and survival of TrkA nociceptive sensory neurons. Nat Neurosci. 2006;9(2):180–7.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  62. Pirvola U, Zhang X, Mantela J, Ornitz DM, Ylikoski J. Fgf9 signaling regulates inner ear morphogenesis through epithelial-mesenchymal interactions. Dev Biol. 2004;273(2):350–60.

    Article  PubMed  CAS  Google Scholar 

  63. Huh SH, Warchol ME, Ornitz DM. Cochlear progenitor number is controlled through mesenchymal FGF receptor signaling. eLife. 2015;4. doi: 10.7554/eLife.05921.

  64. Giesert F, Hofmann A, Burger A, Zerle J, Kloos K, Hafen U, et al. Expression analysis of Lrrk1, Lrrk2 and Lrrk2 splice variants in mice. PLoS One. 2013;8(5):e63778.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  65. Westerlund M, Belin AC, Anvret A, Bickford P, Olson L, Galter D. Developmental regulation of leucine-rich repeat kinase 1 and 2 expression in the brain and other rodent and human organs: Implications for Parkinson’s disease. Neuroscience. 2008;152(2):429–36.

    Article  PubMed  CAS  Google Scholar 

  66. Bordoli MR, Yum J, Breitkopf SB, Thon JN, Italiano Jr JE, Xiao J, et al. A secreted tyrosine kinase acts in the extracellular environment. Cell. 2014;158(5):1033–44.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  67. Imuta Y, Nishioka N, Kiyonari H, Sasaki H. Short limbs, cleft palate, and delayed formation of flat proliferative chondrocytes in mice with targeted disruption of a putative protein kinase gene, Pkdcc (AW548124). Dev Dyn. 2009;238(1):210–22.

    Article  PubMed  CAS  Google Scholar 

  68. Kasai N, Fukushima K, Ueki Y, Prasad S, Nosakowski J, Sugata K, et al. Genomic structures of SCN2A and SCN3A - candidate genes for deafness at the DFNA16 locus. Gene. 2001;264(1):113–22.

    Article  PubMed  CAS  Google Scholar 

  69. Nishijima I, Ohtoshi A. Characterization of a novel prospero-related homeobox gene, Prox2. Mol Genet Genomics. 2006;275(5):471–8.

    Article  PubMed  CAS  Google Scholar 

  70. Pistocchi A, Bartesaghi S, Cotelli F, Del Giacco L. Identification and expression pattern of zebrafish prox2 during embryonic development. Dev Dyn. 2008;237(12):3916–20.

    Article  PubMed  CAS  Google Scholar 

  71. Cobb J, Dierich A, Huss-Garcia Y, Duboule D. A mouse model for human short-stature syndromes identifies Shox2 as an upstream regulator of Runx2 during long-bone development. Proc Natl Acad Sci U S A. 2006;103(12):4511–5.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  72. Rao E, Weiss B, Fukami M, Rump A, Niesler B, Mertz A, et al. Pseudoautosomal deletions encompassing a novel homeobox gene cause growth failure in idiopathic short stature and Turner syndrome. Nat Genet. 1997;16(1):54–63.

    Article  PubMed  CAS  Google Scholar 

  73. Sawada R, Kamei H, Hakuno F, Takahashi S, Shimizu T. In vivo loss of function study reveals the short stature homeobox-containing (shox) gene plays indispensable roles in early embryonic growth and bone formation in zebrafish. Dev Dyn. 2015;244(2):146–56.

    Article  PubMed  CAS  Google Scholar 

  74. Dougherty KJ, Zagoraiou L, Satoh D, Rozani I, Doobar S, Arber S, et al. Locomotor rhythm generation linked to the output of spinal shox2 excitatory interneurons. Neuron. 2013;80(4):920–33.

    Article  PubMed  CAS  Google Scholar 

  75. Rosin JM, Kurrasch DM, Cobb J. Shox2 is required for the proper development of the facial motor nucleus and the establishment of the facial nerves. BMC Neurosci. 2015;16(1):39.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Coulter 2nd PM, Bautista EA, Margulies JE, Watson JB. Identification of cortexin: a novel, neuron-specific, 82-residue membrane protein enriched in rodent cerebral cortex. J Neurochem. 1993;61(2):756–9.

    Article  PubMed  CAS  Google Scholar 

  77. Flynn M, Saha O, Young P. Molecular evolution of the LNX gene family. BMC Evol Biol. 2011;11:235.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  78. Rice DS, Northcutt GM, Kurschner C. The Lnx family proteins function as molecular scaffolds for Numb family proteins. Mol Cell Neurosci. 2001;18(5):525–40.

    Article  PubMed  CAS  Google Scholar 

  79. Katoh M, Katoh M. Identification and characterization of PDZRN3 and PDZRN4 genes in silico. Int J Mol Med. 2004;13(4):607–13.

    PubMed  CAS  Google Scholar 

  80. Liyou NE, Buller KM, Tresillian MJ, Elvin CM, Scott HL, Dodd PR, et al. Localization of a brain sulfotransferase, SULT4A1, in the human and rat brain: an immunohistochemical study. J Histochem Cytochem. 2003;51(12):1655–64.

    Article  PubMed  CAS  Google Scholar 

  81. Minchin RF, Lewis A, Mitchell D, Kadlubar FF, McManus ME. Sulfotransferase 4A1. Int J Biochem Cell Biol. 2008;40(12):2686–91.

    Article  PubMed  CAS  Google Scholar 

  82. Dincer Z, Piao J, Niu L, Ganat Y, Kriks S, Zimmer B, et al. Specification of functional cranial placode derivatives from human pluripotent stem cells. Cell Rep. 2013;5(5):1387–402.

    Article  PubMed  CAS  Google Scholar 

  83. Dykes IM, Lanier J, Eng SR, Turner EE. Brn3a regulates neuronal subtype specification in the trigeminal ganglion by promoting Runx expression during sensory differentiation. Neural Dev. 2010;5:3.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  84. Ratcliffe EM, Setru SU, Chen JJ, Li ZS, D’Autreaux F, Gershon MD. Netrin/DCC-mediated attraction of vagal sensory axons to the fetal mouse gut. J Comp Neurol. 2006;498(5):567–80.

    Article  PubMed  CAS  Google Scholar 

  85. Shiau CE, Bronner-Fraser M. N-cadherin acts in concert with Slit1-Robo2 signaling in regulating aggregation of placode-derived cranial sensory neurons. Development. 2009;136(24):4155–64.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  86. Toba Y, Tiong JD, Ma Q, Wray S. CXCR4/SDF-1 system modulates development of GnRH-1 neurons and the olfactory system. Dev Neurobiol. 2008;68(4):487–503.

    Article  PubMed  CAS  Google Scholar 

  87. Arber S, Ladle DR, Lin JH, Frank E, Jessell TM. ETS gene Er81 controls the formation of functional connections between group Ia sensory afferents and motor neurons. Cell. 2000;101(5):485–98.

    Article  PubMed  CAS  Google Scholar 

  88. Lu CC, Appler JM, Houseman EA, Goodrich LV. Developmental profiling of spiral ganglion neurons reveals insights into auditory circuit assembly. J Neurosci. 2011;31(30):10903–18.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  89. Davos CH, Davies LC, Piepoli M. The effect of baroreceptor activity on cardiovascular regulation. Hellenic J Cardiol. 2002;43:145–55.

    Google Scholar 

  90. Prabhakhar NR, Joyner MJ. Tasting arterial blood: what do the carotid chemoreceptors sense? Front Physiol. 2014;5:524.

    PubMed  PubMed Central  Google Scholar 

  91. Ronveaux CC, Tome D, Raybould HE. Glucagon-like peptide 1 interacts with ghrelin and leptin to regulate glucose metabolism and food intake through vagal afferent neuron signaling. J Nutr. 2015;145(4):672–80.

    Article  PubMed  CAS  Google Scholar 

  92. Oury F, Murakami Y, Renaud JS, Pasqualetti M, Charnay P, Ren SY, et al. Hoxa2- and rhombomere-dependent development of the mouse facial somatosensory map. Science. 2006;313(5792):1408–13.

    Article  PubMed  CAS  Google Scholar 

  93. Lafreniere RG, Cader MZ, Poulin JF, Andres-Enguix I, Simoneau M, Gupta N, et al. A dominant-negative mutation in the TRESK potassium channel is linked to familial migraine with aura. Nat Med. 2010;16(10):1157–60.

    Article  PubMed  CAS  Google Scholar 

  94. Lanier J, Dykes IM, Nissen S, Eng SR, Turner EE. Brn3a regulates the transition from neurogenesis to terminal differentiation and represses non-neural gene expression in the trigeminal ganglion. Dev Dyn. 2009;238(12):3065–79.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  95. Ladher RK, O’Neill P, Begbie J. From shared lineage to distinct functions: the development of the inner ear and epibranchial placodes. Development. 2010;137(11):1777–85.

    Article  PubMed  CAS  Google Scholar 

  96. Patthey C, Schlosser G, Shimeld SM. The evolutionary history of vertebrate cranial placodes--I: cell type evolution. Dev Biol. 2014;389(1):82–97.

    Article  PubMed  CAS  Google Scholar 

  97. Schlosser G, Patthey C, Shimeld SM. The evolutionary history of vertebrate cranial placodes II. Evolution of ectodermal patterning. Dev Biol. 2014;389(1):98–119.

    Article  PubMed  CAS  Google Scholar 

  98. Gans C, Northcutt RG. Neural crest and the origin of vertebrates: a new head. Science. 1983;220(4594):268–73.

    Article  PubMed  CAS  Google Scholar 

  99. Holland LZ. Chordate roots of the vertebrate nervous system: expanding the molecular toolkit. Nat Rev Neurosci. 2009;10(10):736–46.

    Article  PubMed  CAS  Google Scholar 

  100. Abitua PB, Gainous TB, Kaczmarczyk AN, Winchell CJ, Hudson C, Kamata K, et al. The pre-vertebrate origins of neurogenic placodes. Nature. 2015;524(7566):462–5. doi:10.1038/nature14657.

    Article  PubMed  CAS  Google Scholar 

  101. Wu TD, Nacu S. Fast and SNP-tolerant detection of complex variants and splicing in short reads. Bioinformatics. 2010;26(7):873–81.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  102. Katz Y, Wang ET, Airoldi EM, Burge CB. Analysis and design of RNA sequencing experiments for identifying isoform regulation. Nat Methods. 2010;7(12):1009–15.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  103. Anders S, Pyl PT, Huber W. HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31(2):166–9.

    Article  PubMed  PubMed Central  Google Scholar 

  104. Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139–40.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  105. da Huang W, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009;4(1):44–57.

    Article  CAS  Google Scholar 

  106. Hall TA. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp Sers. 1999;41:95–8.

    CAS  Google Scholar 

  107. Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol. 2011;28(10):2731–9.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  108. Wilkinson DG, Nieto MA. Detection of messenger RNA by in situ hybridization to tissue sections and whole mounts. Methods Enzymol. 1993;225:361–73.

    Article  PubMed  CAS  Google Scholar 

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CP and SMS were funded by The Royal Society, EMBO, Elizabeth Hannah Jenkinson Fund, Fell Fund and the Swedish Society for Medical Research. HC, WH and CPP were funded by the MRC. Other thanks go to the Wellcome Trust Centre for Human Genetics for sequencing and to Stephen Fleenor for initial cloning and the chick cranial sensory ganglia schematic (Fig. 1A).

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Correspondence to Wilfried Haerty or Jo Begbie.

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Competing interests

The authors declare they have no competing interests.

Authors’ contributions

CP, JB and SMS designed experiment. CP performed all dissections, FACS and RNA preparation and section in situs; JB undertook cloning and wholemount in situs; HC performed all computational genomics analyses. WH and CPP advised HC on the computational analyses. All authors contributed to and approved the final version of the manuscript.

Cedric Patthey and Harry Clifford contributed equally to this work.

Additional files

Additional file 1: Figure S1.

Analysis of NFM expression in neural crest-derived cells of the trigeminal ganglion at stage HH18. A-F) Immunostaining for NFM (magenta) on sections at the level of the trigeminal ophthalmic (Top, A-C) or trigeminal maxillomandibular (Tmm, D-F) ganglion in HH18 chicken embryos in which a GFP-expressing construct was electroporated in the dorsal midbrain-hindbrain region at stage HH12. GFP expression (green) indicates origin in the cranial neural crest. GFP-positive neural crest-derived cells are NFM-negative (C and F). Scale bar: 50 μm. (PDF 6525 kb)

Additional file 2:

Information for each of the 15 samples. Number of embryos dissected, number of ganglia included, proportion and number of cells sorted, quantity and integrity (RIN number) of RNA extracted, sequencing depth and proportion of reads mapped and number of genes expressed are indicated for each replicate. Genes are counted as expressed if RPKM > 0.3. (XLSX 10 kb)

Additional file 3:

Normalized expression levels. Number of mapped reads per kilobase of exon per million reads (RPKM) is given for each gene and for each of the 15 replicates. (XLSX 3748 kb)

Additional file 4: Figure S2.

A) Pearson coefficients of correlation between principal components 1–15 and RIN values. B) Pearson coefficients of correlation between principal components 1–15 and RNA quality. C) Pearson coefficients of correlation between principal components 1–15 and read counts. (ZIP 179 kb)

Additional file 5: Figure S3.

Expression levels of neuronal differentiation markers. Expression levels as measured by RNA-seq (RPKM) for the indicated gene is shown for the 5 ganglia (Top: trigeminal ophthalmic; Tmm: trigeminal maxillomandibular; VA: vestibulo-acoustic; Pet: petrosal; Nod: nodose). Error bar: standard error of mean (s.e.m). (PDF 1432 kb)

Additional file 6:

Differential expression analysis results for all pairwise comparisons between ganglia using both DESeq (i) and EdgeR (ii). Data are available as compiled .xlsx spreadsheets (A) or individual .csv files (B). (ZIP 24942 kb)

Additional file 7: Figure S4.

A) Number of genes identified as differentially expressed (q < 0.05) in each ganglion and in the grouped Top/Tmm/VA ganglia by DESeq and EdgeR. B) Significant Gene Ontology enrichment (q < 0.05) for differentially expressed genes reported by both DESeq and EdgeR in each ganglion. Redundant GO terms were removed using REVIGO. The Hinton plot displays the FDR (Benjamini and Hochberg) corrected q-value. Top: trigeminal ophthalmic; Tmm: trigeminal maxillomandibular, VA: vestibulo-acoustic, P: petrosal, N: nodose. (PDF 385 kb)

Additional file 8:

Average normalized read count in ganglion of focus relative to all other ganglia, fold change and q-value (Benjamini and Hochberg) for the 134 high confidence markers computed using DESeq. (XLSX 22 kb)

Additional file 9: Figure S5.

Molecular phylogenetic analysis and expression levels of POU4/BRN3 family genes. A) Maximum likelihood tree of POU4/BRN3 gene family in vertebrates. 4 paralogy groups are found across vertebrates. POU4F1.2, named after the Xenopus homologue, is present in chicken but was not found in mammals. Accession numbers are shown next to each entry and bootstrap values are shown at each node. The unique Pou4 sequence from invertebrate deuterostomes are used as an outgroup and the tree is rooted with Lottia giantea Pou4. Species abbreviations: Brafl: Branchiostoma floridae; Calmi: Callorhynchus milii; Chrpi: Chrysemys picta; Danre: Danio rerio; Galga: Gallus gallus; Homsa: Homo sapiens; Lotgi: Lottia gigantea; Sacko: Saccoglossus kowalevskii; Strpu: Strongylocentrotus purpuratus; Xentr: Xenopus tropicalis. B) Expression levels (RPKM) for chicken POU4F1 and POU4F1.2 across five cranial sensory ganglia assessed by RNAseq. The two genes are collectively expressed at high levels in the somatic but not visceral sensory neurons. Top: trigeminal ophthalmic; Tmm: trigeminal maxillomandibular, VA: vestibulo-acoustic, P: petrosal, N: nodose. (PDF 8575 kb)

Additional file 10:

Gene Ontology annotations for the 134 high confidence ganglion-specific markers. (XLSX 13 kb)

Additional file 11: Figure S6.

Expression patterns of putative ganglia-specific markers that didn’t match expectations. In situ hybridization in wholemount and on sections at the level of the trigeminal maxillomandibular (Tmm), vestibulo-acoustic (VA) and petrosal (P) ganglia. A) LHX4 expression was detected at relatively high levels in the ventral hindbrain but only at very low levels in the petrosal ganglion. B) OTX2 staining can be observed at high levels in the rhombic lip but only slightly higher in the trigeminal than in the vestibulo-acoustic and petrosal ganglia. C) TOX2 staining was only detected at very low levels in the ganglia in sections. D-F) MECOM, PRRX1 and PRRX2 expression was observed at high levels in the mesenchyme around, but not within, the cranial sensory ganglia. (TIF 8124 kb)

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Patthey, C., Clifford, H., Haerty, W. et al. Identification of molecular signatures specific for distinct cranial sensory ganglia in the developing chick. Neural Dev 11, 3 (2016).

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