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Cochlear transcriptome analysis of an outbred mouse population (CFW)

Age-related hearing loss (ARHL) is the most common cause of hearing loss and one of the most prevalent conditions affecting the elderly worldwide. Despite evidence from our lab and others about its polygenic nature, little is known about the specific genes, cell types and pathways involved in ARHL,...

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Autores principales: Boussaty, Ely Cheikh, Tedeschi, Neil, Novotny, Mark, Ninoyu, Yuzuru, Du, Eric, Draf, Clara, Zhang, Yun, Manor, Uri, Scheuermann, Richard H., Friedman, Rick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948975/
https://www.ncbi.nlm.nih.gov/pubmed/36824745
http://dx.doi.org/10.1101/2023.02.15.528661
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author Boussaty, Ely Cheikh
Tedeschi, Neil
Novotny, Mark
Ninoyu, Yuzuru
Du, Eric
Draf, Clara
Zhang, Yun
Manor, Uri
Scheuermann, Richard H.
Friedman, Rick
author_facet Boussaty, Ely Cheikh
Tedeschi, Neil
Novotny, Mark
Ninoyu, Yuzuru
Du, Eric
Draf, Clara
Zhang, Yun
Manor, Uri
Scheuermann, Richard H.
Friedman, Rick
author_sort Boussaty, Ely Cheikh
collection PubMed
description Age-related hearing loss (ARHL) is the most common cause of hearing loss and one of the most prevalent conditions affecting the elderly worldwide. Despite evidence from our lab and others about its polygenic nature, little is known about the specific genes, cell types and pathways involved in ARHL, impeding the development of therapeutic interventions. In this manuscript, we describe, for the first time, the complete cell-type specific transcriptome of the aging mouse cochlea using snRNA-seq in an outbred mouse model in relation to auditory threshold variation. Cochlear cell types were identified using unsupervised clustering and annotated via a three-tiered approach - first by linking to expression of known marker genes, then using the NS-Forest algorithm to select minimum cluster-specific marker genes and reduce dimensional feature space for statistical comparison of our clusters with existing publicly-available data sets on the gEAR website (https://umgear.org/), and finally, by validating and refining the annotations using Multiplexed Error Robust Fluorescence In Situ Hybridization (MERFISH) and the cluster-specific marker genes as probes. We report on 60 unique cell-types expanding the number of defined cochlear cell types by more than two times. Importantly, we show significant specific cell type increases and decreases associated with loss of hearing acuity implicating specific subsets of hair cell subtypes, ganglion cell subtypes, and cell subtypes withing the stria vascularis in this model of ARHL. These results provide a view into the cellular and molecular mechanisms responsible for age-related hearing loss and pathways for therapeutic targeting.
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spelling pubmed-99489752023-02-24 Cochlear transcriptome analysis of an outbred mouse population (CFW) Boussaty, Ely Cheikh Tedeschi, Neil Novotny, Mark Ninoyu, Yuzuru Du, Eric Draf, Clara Zhang, Yun Manor, Uri Scheuermann, Richard H. Friedman, Rick bioRxiv Article Age-related hearing loss (ARHL) is the most common cause of hearing loss and one of the most prevalent conditions affecting the elderly worldwide. Despite evidence from our lab and others about its polygenic nature, little is known about the specific genes, cell types and pathways involved in ARHL, impeding the development of therapeutic interventions. In this manuscript, we describe, for the first time, the complete cell-type specific transcriptome of the aging mouse cochlea using snRNA-seq in an outbred mouse model in relation to auditory threshold variation. Cochlear cell types were identified using unsupervised clustering and annotated via a three-tiered approach - first by linking to expression of known marker genes, then using the NS-Forest algorithm to select minimum cluster-specific marker genes and reduce dimensional feature space for statistical comparison of our clusters with existing publicly-available data sets on the gEAR website (https://umgear.org/), and finally, by validating and refining the annotations using Multiplexed Error Robust Fluorescence In Situ Hybridization (MERFISH) and the cluster-specific marker genes as probes. We report on 60 unique cell-types expanding the number of defined cochlear cell types by more than two times. Importantly, we show significant specific cell type increases and decreases associated with loss of hearing acuity implicating specific subsets of hair cell subtypes, ganglion cell subtypes, and cell subtypes withing the stria vascularis in this model of ARHL. These results provide a view into the cellular and molecular mechanisms responsible for age-related hearing loss and pathways for therapeutic targeting. Cold Spring Harbor Laboratory 2023-06-10 /pmc/articles/PMC9948975/ /pubmed/36824745 http://dx.doi.org/10.1101/2023.02.15.528661 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Boussaty, Ely Cheikh
Tedeschi, Neil
Novotny, Mark
Ninoyu, Yuzuru
Du, Eric
Draf, Clara
Zhang, Yun
Manor, Uri
Scheuermann, Richard H.
Friedman, Rick
Cochlear transcriptome analysis of an outbred mouse population (CFW)
title Cochlear transcriptome analysis of an outbred mouse population (CFW)
title_full Cochlear transcriptome analysis of an outbred mouse population (CFW)
title_fullStr Cochlear transcriptome analysis of an outbred mouse population (CFW)
title_full_unstemmed Cochlear transcriptome analysis of an outbred mouse population (CFW)
title_short Cochlear transcriptome analysis of an outbred mouse population (CFW)
title_sort cochlear transcriptome analysis of an outbred mouse population (cfw)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948975/
https://www.ncbi.nlm.nih.gov/pubmed/36824745
http://dx.doi.org/10.1101/2023.02.15.528661
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