Ontology highlight
ABSTRACT: Objective
To explore potential biomarkers indicating endometriosis (EM).Materials and methods
A proteomics method and combined quantitative transcriptomics were adopted to highlight markers in the EM. Venn analysis was used to integrate the ribonucleic acid sequencing (RNA-seq) and protein profiles. Promising candidate markers were tested by enzyme-related immunosorbent assay.Results
A sum of 979 mRNAs and 39 proteins were tested to be significantly differentially expression in the standard cluster compared with the EM cluster. Venn analysis showed a filtered signature of only two down-regulated molecules in the EM group, i.e. fetuin B (FETUB) and serpin family C member 1 (SERPINC1); the latter showed a big variance between the control category and the EM set in the authentication test.Conclusion
SERPINC1 may be a useful possible biomarker for the analysis of EM.
SUBMITTER: Li XY
PROVIDER: S-EPMC10424617 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
Li Xiao-Yan XY Wang Xi X Gu Zhi-Yue ZY Sun Ting-Ting TT Leng Jin-Hua JH Yu Qi Q
Annals of medicine 20230101 2
<h4>Objective</h4>To explore potential biomarkers indicating endometriosis (EM).<h4>Materials and methods</h4>A proteomics method and combined quantitative transcriptomics were adopted to highlight markers in the EM. Venn analysis was used to integrate the ribonucleic acid sequencing (RNA-seq) and protein profiles. Promising candidate markers were tested by enzyme-related immunosorbent assay.<h4>Results</h4>A sum of 979 mRNAs and 39 proteins were tested to be significantly differentially express ...[more]