Transcriptomics

Dataset Information

0

Investigation of spontaneous pelvic organ prolapse in the rhesus macaque model


ABSTRACT: An appropriate model is urgently required for pathological mechanism investigation of pelvic organ prolapse and the development of new therapeutic strategies. It is generally thought that damage to the vagina and its supportive tissues due to vaginal birth, menopause, and so on can result in loss of vaginal support and prolapse of the pelvic organs. Currently, ovariectomy and simulated vaginal delivery in animal models are applied to mimic the status of menopause and induce vaginal injury, however, the complex biochemical and biomechanical changes induced by vaginal delivery and prolapse is difficultly achieved by these methods. The rhesus macaque shares many features similarly to women, such as pelvic floor anatomy and parturition, and makes an excellent experimental model for the study of prolapse. Besides, the rhesus macaque develops prolapse spontaneously. Thus, there has great value to investigate the changes of spontaneous prolapse and make them animal models for the study of prolapse. In this study, we will assess the histomorphology, biochemical property and biomechanical property of prolapsed vagina. And then, cell atlas of normal and prolapsed vagina will be constructed by single-cell transcriptome sequencing. We will reveal the cell type specific molecular mechanisms. This study will improve the understanding of spontaneous prolapse in the rhesus macaque and provide fundamental data for the application of spontaneous prolapse as animal models to study POP.

ORGANISM(S): Macaca mulatta

PROVIDER: GSE206919 | GEO | 2024/12/31

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2023-06-14 | GSE220515 | GEO
| PRJNA852604 | ENA
2018-12-10 | PXD011467 | Pride
2015-07-31 | E-GEOD-53868 | biostudies-arrayexpress
2015-07-31 | GSE53868 | GEO
2015-07-08 | E-GEOD-68079 | biostudies-arrayexpress
2014-12-17 | E-GEOD-54480 | biostudies-arrayexpress
2024-05-27 | GSE268081 | GEO
2022-09-05 | GSE208261 | GEO
2022-09-05 | GSE208264 | GEO