Human uterus tissue cell composition analysis model and establishment method and application thereof
A composition analysis and tissue cell technology, which is applied in the analysis model of human uterine tissue cell composition and its establishment and application, can solve the problems of inability to detect cell heterogeneity information, missing disease characteristic information, and insufficient understanding of uterine disease pathology.
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Embodiment 1
[0089] Example 1: Analysis of human uterine single-cell sequencing data to obtain the characteristic rules of human uterine single cells (including the types and characteristics of cell subgroups in human uterine tissue, and specific expression markers for each subgroup)
[0090] 1. Collection of clinical samples
[0091] Normal uterine samples were collected from the First Affiliated Hospital of Zhejiang University School of Medicine. The entry criteria for sample collection were: uterine samples undergoing total hysterectomy due to cervical cancer or uterine fibroids; patients had no history of hormone drug use or hormone drug slow-release related History of surgery; full-thickness uterine tissue from the normal part of the uterus was taken. A total of 6 cases of samples, 3 cases of proliferative phase and 3 cases of secretory phase of the uterus. This study complied with medical ethics standards and was approved by the Medical Ethics Committee of the First Affiliated Hospi...
Embodiment 2
[0101] Example 2: According to the specific expression markers of each subgroup of the human uterine atlas as a gene set, a deconvolution algorithm ssGSEA is used to establish a human uterine tissue cell composition analysis model.
[0102] According to the top characteristic genes of each group as the gene set (Table 1), this example uses the ssGSEA algorithm in the GSVA program package to establish a human uterine tissue cell composition analysis model. GSVA stands for Gene Set Variation Analysis, which is a non-parametric, unsupervised analysis method. The GSVA program package is an open source R package that provides an integrated process for evaluating and analyzing the gene set enrichment results of microarray transcriptomes using R language. As a mature software package, the GSVA program package can be downloaded and installed on Bioconductor, an open bioinformatics analysis software resource website (download address: http: / / www.bioconductor.org / packages / release / b...
Embodiment 3
[0125] Embodiment 3: Utilizing the changes of human endometrial epithelial cells in vitro with the stimulation of estrogen and progesterone in different mature functional epithelial cell subpopulations (CILIATED_EPITHELIA, SECRETORY_EPITHELIA) of the uterus, to verify the human uterus tissue cell composition analysis model established by the present invention accuracy:
[0126] According to the obtained top characteristic genes of each group as the gene set, and the human uterine tissue cell composition analysis model based on the ssGSEA algorithm, calculate the Bulk transcriptome of human endometrial epithelial cells stimulated with estrogen and progesterone (E2+P4) in vitro The trend of different mature functional epithelial cell subsets (CILIATED_EPITHELIA, SECRETORY_EPITHELIA) of the uterus in the data set (GSE136795):
[0127] The results showed that compared with the unstimulated control group (control), the number of functional uterine epithelial cell subsets (CILIATED_...
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