American journal of reproductive immunology (New York, N.Y. : 1989) · 2020
RNA sequencing-based long non-coding RNA analysis and immunoassay in ovarian endometriosis.
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Bi Jianlei, Wang Dandan, Cui Liangyi, Yang Qing
Аннотация
PROBLEM: The mechanism underlying endometriosis is currently unknown. However, studies have indicated that immunity plays an important role in endometriosis occurrence and development. Long non-coding RNAs (lncRNAs) do not encode proteins but participate in a variety of biological processes via different mechanisms. This study investigated differences in immune cells and immune-related lncRNAs via high-throughput RNA sequencing (RNA-seq) analysis of ectopic and eutopic endometria with endometriosis.
METHOD OF STUDY: RNA-seq was performed in six pairs of ectopic and eutopic endometria samples, and real-time quantitative polymerase chain reaction was used to verify the results of RNA-seq for 30 pairs of samples. Different immune cell types were identified based on the RNA-seq results, using ImmuCellAI. Immune-related lncRNAs were obtained by analyzing immune-related genes from the ImmPort Database and RNA-seq results.
RESULTS: A total of 952 differentially expressed lncRNAs were identified, of which 446 were immune-related. The ectopic and eutopic endometrium could easily be distinguished in the principal component analysis of immune-related lncRNAs. Analysis of 24 immune cell types revealed the differential abundance of 13 types. Sixty immune-related mRNAs were associated with the top 20 dysregulated immune-related lncRNAs, 11 of which were transcripts of immune cell marker genes.
CONCLUSIONS: Our data indicated that a variety of dysregulated lncRNAs were associated with immunity, and these may provide a basis for future immune-related endometriosis research.
METHOD OF STUDY: RNA-seq was performed in six pairs of ectopic and eutopic endometria samples, and real-time quantitative polymerase chain reaction was used to verify the results of RNA-seq for 30 pairs of samples. Different immune cell types were identified based on the RNA-seq results, using ImmuCellAI. Immune-related lncRNAs were obtained by analyzing immune-related genes from the ImmPort Database and RNA-seq results.
RESULTS: A total of 952 differentially expressed lncRNAs were identified, of which 446 were immune-related. The ectopic and eutopic endometrium could easily be distinguished in the principal component analysis of immune-related lncRNAs. Analysis of 24 immune cell types revealed the differential abundance of 13 types. Sixty immune-related mRNAs were associated with the top 20 dysregulated immune-related lncRNAs, 11 of which were transcripts of immune cell marker genes.
CONCLUSIONS: Our data indicated that a variety of dysregulated lncRNAs were associated with immunity, and these may provide a basis for future immune-related endometriosis research.