Single-cell transcriptome profiling of the vaginal wall in women with severe anterior vaginal prolapse

Yaqian Li, Qing-Yang Zhang, Bao-Fa Sun, Yidi Ma, Ye Zhang, Min Wang, Congcong Ma, Honghui Shi, Zhijing Sun, Juan Chen, Yun-Gui Yang () and Lan Zhu ()
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Yaqian Li: Chinese Academy of Medical Science and Peking Union Medical College
Qing-Yang Zhang: Beijing Institute of Genomics, Chinese Academy of Sciences
Bao-Fa Sun: Beijing Institute of Genomics, Chinese Academy of Sciences
Yidi Ma: Chinese Academy of Medical Sciences and Peking Union Medical College
Ye Zhang: Chinese Academy of Medical Sciences and Peking Union Medical College
Min Wang: Chinese Academy of Medical Sciences and Peking Union Medical College
Congcong Ma: Chinese Academy of Medical Sciences and Peking Union Medical College
Honghui Shi: Chinese Academy of Medical Sciences and Peking Union Medical College
Zhijing Sun: Chinese Academy of Medical Sciences and Peking Union Medical College
Juan Chen: Chinese Academy of Medical Sciences and Peking Union Medical College
Yun-Gui Yang: Beijing Institute of Genomics, Chinese Academy of Sciences
Lan Zhu: Chinese Academy of Medical Sciences and Peking Union Medical College

Nature Communications, 2021, vol. 12, issue 1, 1-13

Abstract: Abstract Anterior vaginal prolapse (AVP) is the most common form of pelvic organ prolapse (POP) and has deleterious effects on women’s health. Despite recent advances in AVP diagnosis and treatment, a cell atlas of the vaginal wall in AVP has not been constructed. Here, we employ single-cell RNA-seq to construct a transcriptomic atlas of 81,026 individual cells in the vaginal wall from AVP and control samples and identify 11 cell types. We reveal aberrant gene expression in diverse cell types in AVP. Extracellular matrix (ECM) dysregulation and immune reactions involvement are identified in both non-immune and immune cell types. In addition, we find that several transcription factors associated with ECM and immune regulation are activated in AVP. Furthermore, we reveal dysregulated cell–cell communication patterns in AVP. Taken together, this work provides a valuable resource for deciphering the cellular heterogeneity and the molecular mechanisms underlying severe AVP.

Date: 2021
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DOI: 10.1038/s41467-020-20358-y

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