Proteomics

Dataset Information

0

Comprehensive Analysis of Quantitative Proteomics with DIA Mass Spectrometry and ceRNA Network in Intrahepatic Cholestasis of Pregnancy


ABSTRACT: In this study, we analyze protein expression in placenta of ICP and normal pregnancies via quantitative proteomics of data-independent acquisition (DIA). Our results showed that compared with normal placenta, the differentially expressed proteins in ICP were involved in autophagosome regulation. Among the top 24 differentially expressed proteins, HBG1, SPI1, HBG2, HBE1, FOXK1, KRT72, SLC13A3, MBD2, SP9, GPLD1, MYH7 and BLOC1S1 were associated with ICP development significantly, furthermore, MBD2, SPI1, FOXK1, SLC13A3 was regulated by multiple miRNAs and lncRNAs. On the whole, our study on ICP might provide potential drug targets to improve adverse pregnancy outcomes of ICP patients.

ORGANISM(S): Homo Sapiens

SUBMITTER: Huimin Xia  

PROVIDER: PXD031472 | iProX | Mon Feb 07 00:00:00 GMT 2022

REPOSITORIES: iProX

altmetric image

Publications

Comprehensive Analysis of Quantitative Proteomics With DIA Mass Spectrometry and ceRNA Network in Intrahepatic Cholestasis of Pregnancy.

Fang Dajun D   Fang Yan Y   Zhang Weiqiang W   Xiang Yun Y   Cheng Xi X   Liang Mingfeng M   Xia Huimin H  

Frontiers in cell and developmental biology 20220722


<b>Background:</b> Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific complication characterized by pruritus without skin damage and jaundice. The poor perinatal outcomes include fetal distress, preterm birth, and unexpected intrauterine death. However, the mechanism of ICP leading to poor prognosis is still unclear. <b>Methods:</b> We analyzed 10 ICP and 10 normal placental specimens through quantitative proteomics of data-independent acquisition (DIA) to screen and identify di  ...[more]

Similar Datasets

2020-11-06 | GSE160888 | GEO
2011-06-01 | E-GEOD-28277 | biostudies-arrayexpress
2013-09-12 | E-GEOD-50783 | biostudies-arrayexpress
2011-06-01 | GSE28277 | GEO
2021-05-12 | GSE165324 | GEO
2009-03-12 | E-GEOD-13663 | biostudies-arrayexpress
2013-09-12 | GSE50783 | GEO
2022-10-24 | GSE216275 | GEO
2022-11-03 | GSE216997 | GEO
2009-03-13 | GSE13663 | GEO