Unknown

Dataset Information

0

Comparative proteome profile of human placenta from normal and preeclamptic pregnancies.


ABSTRACT: To better understand the molecular mechanisms involved in pathological development of placenta in preeclampsia, we used LC-MS/MS to construct a large-scale comparative proteome profile of human placentas from normal and preeclamptic pregnancies. A total of 2636 proteins were detected in human placentas, and 171 different proteins were definitively identified between control and preeclamptic placentas. Further bioinformatics analysis indicated that these differentially expressed proteins correlate with several specific cellular processes which occur during pathological changes of preeclamptic placenta. 6 proteins were randomly selected to verify their expression patterns with Western blotting. Of which, 3 proteins' cellular localizations were validated with immunohistochemistry. Elucidation of how protein-expression changes coordinate the pathological development would provide researchers with a better understanding of the critical biological processes of preeclampsia and potential targets for therapeutic agents to regulate placenta function, and eventually benefit the treatment of preeclampsia.

SUBMITTER: Wang F 

PROVIDER: S-EPMC3799759 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

altmetric image

Publications

Comparative proteome profile of human placenta from normal and preeclamptic pregnancies.

Wang Fuqiang F   Shi Zhonghua Z   Wang Ping P   You Wei W   Liang Gaolin G  

PloS one 20131018 10


To better understand the molecular mechanisms involved in pathological development of placenta in preeclampsia, we used LC-MS/MS to construct a large-scale comparative proteome profile of human placentas from normal and preeclamptic pregnancies. A total of 2636 proteins were detected in human placentas, and 171 different proteins were definitively identified between control and preeclamptic placentas. Further bioinformatics analysis indicated that these differentially expressed proteins correlat  ...[more]

Similar Datasets

2014-04-25 | GSE57050 | GEO
2014-04-25 | E-GEOD-57050 | biostudies-arrayexpress
| S-EPMC2742651 | biostudies-literature
| S-EPMC3369279 | biostudies-literature
2014-05-20 | GSE57767 | GEO
| S-EPMC7601230 | biostudies-literature
| S-EPMC7578244 | biostudies-literature
| S-EPMC11018924 | biostudies-literature
| S-EPMC6109518 | biostudies-literature
| S-EPMC5409527 | biostudies-literature