Characterization of the development of the mouse cochlear epithelium at the single cell level

Likhitha Kolla, Michael C. Kelly, Zoe F. Mann, Alejandro Anaya-Rocha, Kathryn Ellis, Abigail Lemons, Adam T. Palermo, Kathy S. So, Joseph C. Mays, Joshua Orvis, Joseph C. Burns, Ronna Hertzano, Elizabeth C. Driver and Matthew W. Kelley ()
Additional contact information
Likhitha Kolla: National Institutes of Health
Michael C. Kelly: National Institutes of Health
Zoe F. Mann: King’s College London
Alejandro Anaya-Rocha: National Institutes of Health
Kathryn Ellis: National Institutes of Health
Abigail Lemons: National Institutes of Health
Adam T. Palermo: Decibel Therapeutics
Kathy S. So: Decibel Therapeutics
Joseph C. Mays: National Institutes of Health
Joshua Orvis: University of Maryland School of Medicine
Joseph C. Burns: Decibel Therapeutics
Ronna Hertzano: University of Maryland School of Medicine
Elizabeth C. Driver: National Institutes of Health
Matthew W. Kelley: National Institutes of Health

Nature Communications, 2020, vol. 11, issue 1, 1-16

Abstract: Abstract Mammalian hearing requires the development of the organ of Corti, a sensory epithelium comprising unique cell types. The limited number of each of these cell types, combined with their close proximity, has prevented characterization of individual cell types and/or their developmental progression. To examine cochlear development more closely, we transcriptionally profile approximately 30,000 isolated mouse cochlear cells collected at four developmental time points. Here we report on the analysis of those cells including the identification of both known and unknown cell types. Trajectory analysis for OHCs indicates four phases of gene expression while fate mapping of progenitor cells suggests that OHCs and their surrounding supporting cells arise from a distinct (lateral) progenitor pool. Tgfβr1 is identified as being expressed in lateral progenitor cells and a Tgfβr1 antagonist inhibits OHC development. These results provide insights regarding cochlear development and demonstrate the potential value and application of this data set.

Date: 2020
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DOI: 10.1038/s41467-020-16113-y

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