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Exploration the global single-cell ecological landscape of adenomyosis-related cell clusters by single-cell RNA sequencing

Background: Adenomyosis (AM) is a common benign uterine disease that threatens the normal life of patients. Cells associated with microenvironmental immune ecology are crucial in AM, although they are not as well understood at the cellular level. Methods: Single-cell sequencing (scRNA-seq) data were...

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Autores principales: Lin, Jiajing, Liu, Li, Zheng, Fengque, Chen, Saiqiong, Yang, Weiwei, Li, Jingjing, Mo, Steven, Zeng, Ding-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618874/
https://www.ncbi.nlm.nih.gov/pubmed/36324511
http://dx.doi.org/10.3389/fgene.2022.1020757
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author Lin, Jiajing
Liu, Li
Zheng, Fengque
Chen, Saiqiong
Yang, Weiwei
Li, Jingjing
Mo, Steven
Zeng, Ding-Yuan
author_facet Lin, Jiajing
Liu, Li
Zheng, Fengque
Chen, Saiqiong
Yang, Weiwei
Li, Jingjing
Mo, Steven
Zeng, Ding-Yuan
author_sort Lin, Jiajing
collection PubMed
description Background: Adenomyosis (AM) is a common benign uterine disease that threatens the normal life of patients. Cells associated with microenvironmental immune ecology are crucial in AM, although they are not as well understood at the cellular level. Methods: Single-cell sequencing (scRNA-seq) data were used to construct an AM global single-cell map, to further identify relevant cell clusters and infer chromosomal copy number variation (CNV) in AM samples. The biological functions of cell clusters were explored and cellular evolutionary processes were inferred by enrichment analysis and pseudotime analysis. In addition, a gene regulatory network (GRN) analysis was constructed to explore the regulatory role of transcription factors in AM progression. Results: We obtained the expression profiles of 42260 cells and identified 10 cell clusters. By comparing the differences in cell components between AM patients and controls, we found that significant abundance of endometrial cells (EC), epithelial cells (Ep), endothelial cells (En), and smooth muscle cells (SMC) in AM patients. Cell clusters with high CNV levels possessing tumour-like features existed in the ectopic endometrium samples. Moreover, the Ep clusters were significantly involved in leukocyte transendothelial cell migration and apoptosis, suggesting an association with cell apoptosis and migration. En clusters were mainly involved in pathways in cancer and apoptosis, indicating that En has certain malignant features. Conclusion: This study identified cell clusters with immune-related features, investigated the changes in the immune ecology of the microenvironment of these cells during AM, and provided a new strategy for the treatment of AM.
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spelling pubmed-96188742022-11-01 Exploration the global single-cell ecological landscape of adenomyosis-related cell clusters by single-cell RNA sequencing Lin, Jiajing Liu, Li Zheng, Fengque Chen, Saiqiong Yang, Weiwei Li, Jingjing Mo, Steven Zeng, Ding-Yuan Front Genet Genetics Background: Adenomyosis (AM) is a common benign uterine disease that threatens the normal life of patients. Cells associated with microenvironmental immune ecology are crucial in AM, although they are not as well understood at the cellular level. Methods: Single-cell sequencing (scRNA-seq) data were used to construct an AM global single-cell map, to further identify relevant cell clusters and infer chromosomal copy number variation (CNV) in AM samples. The biological functions of cell clusters were explored and cellular evolutionary processes were inferred by enrichment analysis and pseudotime analysis. In addition, a gene regulatory network (GRN) analysis was constructed to explore the regulatory role of transcription factors in AM progression. Results: We obtained the expression profiles of 42260 cells and identified 10 cell clusters. By comparing the differences in cell components between AM patients and controls, we found that significant abundance of endometrial cells (EC), epithelial cells (Ep), endothelial cells (En), and smooth muscle cells (SMC) in AM patients. Cell clusters with high CNV levels possessing tumour-like features existed in the ectopic endometrium samples. Moreover, the Ep clusters were significantly involved in leukocyte transendothelial cell migration and apoptosis, suggesting an association with cell apoptosis and migration. En clusters were mainly involved in pathways in cancer and apoptosis, indicating that En has certain malignant features. Conclusion: This study identified cell clusters with immune-related features, investigated the changes in the immune ecology of the microenvironment of these cells during AM, and provided a new strategy for the treatment of AM. Frontiers Media S.A. 2022-10-17 /pmc/articles/PMC9618874/ /pubmed/36324511 http://dx.doi.org/10.3389/fgene.2022.1020757 Text en Copyright © 2022 Lin, Liu, Zheng, Chen, Yang, Li, Mo and Zeng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Lin, Jiajing
Liu, Li
Zheng, Fengque
Chen, Saiqiong
Yang, Weiwei
Li, Jingjing
Mo, Steven
Zeng, Ding-Yuan
Exploration the global single-cell ecological landscape of adenomyosis-related cell clusters by single-cell RNA sequencing
title Exploration the global single-cell ecological landscape of adenomyosis-related cell clusters by single-cell RNA sequencing
title_full Exploration the global single-cell ecological landscape of adenomyosis-related cell clusters by single-cell RNA sequencing
title_fullStr Exploration the global single-cell ecological landscape of adenomyosis-related cell clusters by single-cell RNA sequencing
title_full_unstemmed Exploration the global single-cell ecological landscape of adenomyosis-related cell clusters by single-cell RNA sequencing
title_short Exploration the global single-cell ecological landscape of adenomyosis-related cell clusters by single-cell RNA sequencing
title_sort exploration the global single-cell ecological landscape of adenomyosis-related cell clusters by single-cell rna sequencing
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618874/
https://www.ncbi.nlm.nih.gov/pubmed/36324511
http://dx.doi.org/10.3389/fgene.2022.1020757
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