1.Study of the unique cellular molecular characteristics of moderately intrauterine adhesion based on single-cell RNA sequencing.
Yunhua LIU ; Zhijun WU ; Zhoudong XU ; Peiqing HE ; Yueyu LUO ; Yanhui LIU
Chinese Journal of Medical Genetics 2023;40(6):674-679
OBJECTIVE:
To depict the cell landscape and molecular biological characteristics of human intrauterine adhesion (IUA) so as to better understand its immune microenvironment and provide new inspirations for clinical treatment.
METHODS:
Four patients with IUA who underwent hysteroscopic treatment at Dongguan Maternal and Child Health Care Hospital from February 2022 to April 2022 were selected as the study subjects. Hysteroscopy was used to collect the tissues of IUA, which were graded based on the patient's medical history, menstrual history and status of IUA. Library construction, sequencing, single cell data comparison and gene expression matrix construction were carried out in strict accordance with the single cell RNA sequencing process. Thereafter, the UMAP dimension reduction analysis of cell population and genetic analysis were carried out based on the cell types.
RESULTS:
A total of 27 511 cell transcripts were obtained from four moderately graded IUA tissue samples and assigned to six cell lineages including T cells, mononuclear phagocytes, epithelial cells, fibroblasts, endothelial cells and erythrocytes. Compared with normal uterine tissue cells, the four samples showed different cell distribution, and the proportions of mononuclear phagocytes and T cells in sample IUA0202204 were significantly increased, suggesting a strong cellular immune response.
CONCLUSION
The cell diversity and heterogeneity of moderate IUA tissues have been described. Each cell subgroup has unique molecular characteristics, which may provide new clues for further study of the pathogenesis of IUA and heterogeneity among the patients.
Pregnancy
;
Female
;
Child
;
Humans
;
Endothelial Cells
;
Uterine Diseases/complications*
;
Hysteroscopy/methods*
;
Tissue Adhesions/etiology*
;
Sequence Analysis, RNA