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Identification of common stria vascularis cellular alteration in sensorineural hearing loss based on ScRNA-seq
Gu Xi, Kanglun Jiang, Ruru Chen, Zhifeng Chen, Xianmin Wu, Haijie Xiang, Xinsheng Huang, Benyu Nan
BMC Genomics · 2024 · ▲ 8 citations
Abstract
BACKGROUND: The stria vascularis (SV), located in the lateral wall of the cochlea, maintains cochlear fluid homeostasis and mechanoelectrical transduction (MET) activity required for sound wave conduction. The pathogenesis of a number of human inheritable deafness syndromes, age related hearing loss, drug-induced ototoxicity and noise-induced hearing loss results from the morphological changes and functional impairments in the development of the SV. In this study, we investigate the implications of intercellular communication within the SV in the pathogenesis of sensorineural hearing loss (SNHL). We aim to identify commonly regulated signaling pathways using publicly available single-cell transcriptomic sequencing (scRNA-seq) datasets. METHODS: We analyzed scRNA-seq data, which was derived from studying the cochlear SV in mice with SNHL compared to normal adult mice. After quality control and filtering, we obtained the major cellular components of the mouse cochlear SV and integrated the data. Using Seurat's FindAllMarkers and FindMarkers packages, we searched for novel conservative genes and differential genes. We employed KEGG and GSEA to identify molecular pathways that are commonly altered among different types of SNHL. We utilized pySCENIC to discover new specific regulatory factors in SV subpopulation cells. With the help of CellChat, we identified changes in subpopulation cells showing similar trends across different SNHL types and their alterations in intercellular communication pathways. RESULTS: Through the analysis of the integrated data, we discovered new conserved genes to SV specific cells and identified common downregulated pathways in three types of SNHL. The enriched genes for these pathways showing similar trends are primarily associated with the Electron Transport Chain, related to mitochondrial energy metabolism. Using the CellChat package, we further found that there are shared pathways in the incoming signaling of specific intermediate cells in SNHL, and these pathways have common upstream regulatory transcription factor of Nfe2l2. Combining the results from pySCENIC and CellChat, we predicted the transcription factor Nfe2l2 as an upstream regulatory factor for multiple shared cellular pathways in IC. Additionally, it serves as an upstream factor for several genes within the Electron Transport Chain. CONCLUSION: Our bioinformatics analysis has revealed that downregulation of the mitochondrial electron transport chain have been observed in various conditions of SNHL. E2f1, Esrrb, Runx1, Yy1, and Gata2 could serve as novel important common TFs regulating the electron transport chain. Adm has emerged as a potential new marker gene for intermediate cells, while Itgb5 and Tesc show promise as potential new marker genes for marginal cells in the SV. These findings offer a new perspective on SV lesions in SNHL and provide additional theoretical evidence for the same drug treatment and prevention of different pathologies of SNHL.
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- OpenAlex
- DOI
- 10.1186/s12864-024-10122-7
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- 2026-06-08 MST
Cite this
APA
Xi, G., Jiang, K., Chen, R., Chen, Z., Wu, X., Xiang, H., Huang, X., & Nan, B. (2024). Identification of common stria vascularis cellular alteration in sensorineural hearing loss based on ScRNA-seq. <em>BMC Genomics</em>. https://doi.org/10.1186/s12864-024-10122-7
Vancouver
Xi G, Jiang K, Chen R, Chen Z, Wu X, Xiang H, et al. Identification of common stria vascularis cellular alteration in sensorineural hearing loss based on ScRNA-seq. BMC Genomics. 2024. doi:10.1186/s12864-024-10122-7.
BibTeX
@article{gu2024Identi,
title = {Identification of common stria vascularis cellular alteration in sensorineural hearing loss based on ScRNA-seq},
author = {Gu Xi and Kanglun Jiang and Ruru Chen and Zhifeng Chen and Xianmin Wu and Haijie Xiang and Xinsheng Huang and Benyu Nan},
journal = {BMC Genomics},
year = {2024},
doi = {10.1186/s12864-024-10122-7},
}
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