A single-nucleus transcriptomic atlas of human inner ear development

Hearing and balance rely on coordinated activity of multiple inner ear cell types, yet the mechanisms governing their development and specification in humans remain unclear. Consequently, this limits our understanding of how disease genes affect cell type formation and function, limiting the development of targeted treatments, including gene therapies. Here we present the Human Inner Ear Development snRNA-seq Atlas (HIEDRA), a single-nucleus transcriptomic atlas of the human inner ear spanning the first and second trimesters. HIEDRA maps sensory and nonsensory epithelia, neurons and mesenchyme-associated populations, including undercharacterized secretory cells required for ion homeostasis. We identify selective vulnerability in sensory and secretory lineages to disease-associated genes, infer regulatory networks and show that Hedgehog signaling suppression is required for secretory cell specification. We validate this mechanism in human inner ear organoids, expanding the model to include all major cell types. Altogether, these findings provide insights into human inner ear cell type specification, improve in vitro models and establish HIEDRA as a resource for investigating human inner ear development. van der Valk et al. mapped the cell types that build the human inner ear during early development, identifying a molecular signal that instructs cell specification and using it to improve organoid models of this organ of hearing and balance.

Authors

Institutions

Publication Details

Journal
Nature Neuroscience
Published
2026-09-09
DOI
https://doi.org/10.1038/s41593-026-02432-8
Primary Topic
Hearing, Cochlea, Tinnitus, Genetics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

A single-nucleus transcriptomic atlas of human inner ear development

Wouter H. van der Valk, Matthieu Moisse, Heiko Locher, Peter Paul G. van Benthem et al.
Nature Neuroscience
Hearing, Cochlea, Tinnitus, Genetics
article

A single-nucleus transcriptomic atlas of human inner ear development

Wouter H. van der Valk, Matthieu Moisse, Heiko Locher, Peter Paul G. van Benthem, Roberta Menafra, Aleksandar Beatovic, Jermaine Goveia, Karl R. Koehler, Edward S. A. van Beelen, Shantha Devi Udayappan, John C. M. J. de Groot
article en

Abstract

Hearing and balance rely on coordinated activity of multiple inner ear cell types, yet the mechanisms governing their development and specification in humans remain unclear. Consequently, this limits our understanding of how disease genes affect cell type formation and function, limiting the development of targeted treatments, including gene therapies. Here we present the Human Inner Ear Development snRNA-seq Atlas (HIEDRA), a single-nucleus transcriptomic atlas of the human inner ear spanning the first and second trimesters. HIEDRA maps sensory and nonsensory epithelia, neurons and mesenchyme-associated populations, including undercharacterized secretory cells required for ion homeostasis. We identify selective vulnerability in sensory and secretory lineages to disease-associated genes, infer regulatory networks and show that Hedgehog signaling suppression is required for secretory cell specification. We validate this mechanism in human inner ear organoids, expanding the model to include all major cell types. Altogether, these findings provide insights into human inner ear cell type specification, improve in vitro models and establish HIEDRA as a resource for investigating human inner ear development. van der Valk et al. mapped the cell types that build the human inner ear during early development, identifying a molecular signal that instructs cell specification and using it to improve organoid models of this organ of hearing and balance.

Nature Neuroscience
Boston Children's Hospital (US), Harvard University (US), Leiden University Medical Center (NL)
Good health and well-being
Openalex Percentile: Top 13%
Hearing, Cochlea, Tinnitus, Genetics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.