2021
DOI: 10.7554/elife.60108
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Novel cell types and developmental lineages revealed by single-cell RNA-seq analysis of the mouse crista ampullaris

Abstract: This study provides transcriptomic characterization of the cells of the crista ampullaris, sensory structures at the base of the semicircular canals that are critical for vestibular function. We performed single cell RNA-seq on ampullae microdissected from E16, E18, P3 and P7 mice. Cluster analysis identified the hair cells, support cells and glia of the crista as well as dark cells and other nonsensory epithelial cells of the ampulla, mesenchymal cells, vascular cells, macrophages and melanocytes. Cluster-spe… Show more

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Cited by 27 publications
(37 citation statements)
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“…To confirm the vestibular versus the cochlear identity of the epithelial cell population, we analyzed the differential gene expression between the putative cochlear duct floor and vestibular supporting cells (Figure 3D). ADAMTSL1, MEIS2, EBF3 and ERBB4 were genes highly expressed within vestibular populations, in contrast to GATA3, NR2F1 and SULF1 which are present in cochlear populations, as has been shown on a single-cell level for the developing mouse inner ear (Wilkerson et al, 2021;Yamamoto et al, 2021). The cochlear cell types could be separated (Figure 3E) into a medial (TECTA, FGF10, JAG1), prosensory (ISL1, LGR5, SOX2, FGF20) and lateral domain of the duct floor (BMP4, GATA3) as well as the cochlear roof (OTX2, FGF9, WNT4, GSC), based on data from the developing mouse cochlea (Chai et al, 2011;Hayashi et al, 2008;Luo et al, 2013;Morsli et al, 1999;Munnamalai and Fekete, 2020;Ohyama et al, 2010;Yamamoto et al, 2021).…”
Section: Generation Of An Atlas Of Fetal and Adult Human Inner Ear Ti...mentioning
confidence: 62%
“…To confirm the vestibular versus the cochlear identity of the epithelial cell population, we analyzed the differential gene expression between the putative cochlear duct floor and vestibular supporting cells (Figure 3D). ADAMTSL1, MEIS2, EBF3 and ERBB4 were genes highly expressed within vestibular populations, in contrast to GATA3, NR2F1 and SULF1 which are present in cochlear populations, as has been shown on a single-cell level for the developing mouse inner ear (Wilkerson et al, 2021;Yamamoto et al, 2021). The cochlear cell types could be separated (Figure 3E) into a medial (TECTA, FGF10, JAG1), prosensory (ISL1, LGR5, SOX2, FGF20) and lateral domain of the duct floor (BMP4, GATA3) as well as the cochlear roof (OTX2, FGF9, WNT4, GSC), based on data from the developing mouse cochlea (Chai et al, 2011;Hayashi et al, 2008;Luo et al, 2013;Morsli et al, 1999;Munnamalai and Fekete, 2020;Ohyama et al, 2010;Yamamoto et al, 2021).…”
Section: Generation Of An Atlas Of Fetal and Adult Human Inner Ear Ti...mentioning
confidence: 62%
“…A recent single-cell study revealed distinct central versus peripheral hair cell subpopulations in postnatal mouse cristae, reminiscent of the striolar and extrastriolar populations in the maculae (Wilkerson et al, 2021). As our zebrafish cristae hair cells also separate by the expression of cabp1b and cabp2b (Figure 6A), we performed SAMap analysis between the crista cell populations of the two species to investigate cell type homology.…”
Section: Resultsmentioning
confidence: 99%
“…We used the python package SAMap (v1.0.2)(Tarashansky et al, 2021) to correlate gene expression patterns and determine cell type homology between mouse utricle (GSE155966) (Jan et al, 2021) or crista (GSE168901) (Wilkerson et al, 2021) hair cells and supporting cells and our 12 mpf zebrafish inner ear scRNA-seq data. Zebrafish lateral line hair cell sc-RNA data (GSE123241) (Lush et al, 2019) was integrated with our 12 mpf inner ear data using Seurat in order to compare to mice.…”
Section: Methodsmentioning
confidence: 99%
“…This branch of high-throughput methods has provided the field with valuable insight into cell type gene expression dynamics, intercellular communication, and tissue composition in NAFLD [ 60 ]. Importantly, single-cell RNA-seq (scRNA-seq) profiling does not require any biological pre-knowledge as individual cells are characterized independently of cellular tagging, which has facilitated the detection of novel and rare cell types across tissues [ 90 , 91 , 92 ]. Single cells can be profiled either as whole cells or nuclei ( Figure 2 A), and the different source of bias this might lead to (discussed above) also manifests here, emphasizing the importance of careful consideration of the experimental approach prior to conducting the analysis [ 58 ].…”
Section: Emerging Technologies To Analyze the Cis-regulatory Genome A...mentioning
confidence: 99%