Unknown

Dataset Information

DIA proteomics analysis through serum profiles reveals the significant proteins as candidate biomarkers in women with PCOS.


ABSTRACT:

Background

The aim of this study was to apply proteomic methodology for the analysis of proteome changes in women with polycystic ovary syndrome (PCOS).

Material and methods

All the participators including 31 PCOS patients and 31 healthy female as controls were recruited, the clinical characteristics data was recorded at the time of recruitment, the laboratory biochemical data was detected. Then, a data-independent acquisition (DIA)-based proteomics method was performed to compare the serum protein changes between PCOS patients and controls. In addition, Western blotting was used to validate the expression of identified proteomic biomarkers.

Results

There were 80 proteins differentially expressed between PCOS patients and controls significantly, including 54 downregul

SUBMITTER: Yu Y 

PROVIDER: S-EPMC8106864 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets