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Identification and Analysis of Multi-Protein Complexes in Placenta

Overview of attention for article published in PLOS ONE, April 2013
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Title
Identification and Analysis of Multi-Protein Complexes in Placenta
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0062988
Pubmed ID
Authors

Fuqiang Wang, Ling Wang, Zhiyang Xu, Gaolin Liang

Abstract

Placental malfunction induces pregnancy disorders which contribute to life-threatening complications for both the mother and the fetus. Identification and characterization of placental multi-protein complexes is an important step to integratedly understand the protein-protein interaction networks in placenta which determine placental function. In this study, blue native/sodium dodecyl sulfate polyacrylamide gel electrophoresis (BN/SDS-PAGE) and Liquid chromatography-tandem mass spectrometry (LC-MS/MS) were used to screen the multi-protein complexes in placenta. 733 unique proteins and 34 known and novel heterooligomeric multi-protein complexes including mitochondrial respiratory chain complexes, integrin complexes, proteasome complexes, histone complex, and heat shock protein complexes were identified. A novel protein complex, which involves clathrin and small conductance calcium-activated potassium (SK) channel protein 2, was identified and validated by antibody based gel shift assay, co-immunoprecipitation and immunofluorescence staining. These results suggest that BN/SDS-PAGE, when integrated with LC-MS/MS, is a very powerful and versatile tool for the investigation of placental protein complexes. This work paves the way for deeper functional characterization of the placental protein complexes associated with pregnancy disorders.

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Geographical breakdown

Country Count As %
Poland 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 33%
Researcher 6 20%
Student > Master 3 10%
Student > Bachelor 2 7%
Unspecified 1 3%
Other 1 3%
Unknown 7 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 30%
Biochemistry, Genetics and Molecular Biology 4 13%
Medicine and Dentistry 3 10%
Environmental Science 1 3%
Mathematics 1 3%
Other 4 13%
Unknown 8 27%