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Proteomic analysis of human follicular fluid associated with successful in vitro fertilization

Overview of attention for article published in Reproductive Biology and Endocrinology, July 2017
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Title
Proteomic analysis of human follicular fluid associated with successful in vitro fertilization
Published in
Reproductive Biology and Endocrinology, July 2017
DOI 10.1186/s12958-017-0277-y
Pubmed ID
Authors

Xiaofang Shen, Xin Liu, Peng Zhu, Yuhua Zhang, Jiahui Wang, Yanwei Wang, Wenting Wang, Juan Liu, Ning Li, Fujun Liu

Abstract

Human follicular fluid (HFF) provides a key environment for follicle development and oocyte maturation, and contributes to oocyte quality and in vitro fertilization (IVF) outcome. To better understand folliculogenesis in the ovary, a proteomic strategy based on dual reverse phase high performance liquid chromatography (RP-HPLC) coupled to matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry (LC-MALDI TOF/TOF MS) was used to investigate the protein profile of HFF from women undergoing successful IVF. A total of 219 unique high-confidence (False Discovery Rate (FDR) < 0.01) HFF proteins were identified by searching the reviewed Swiss-Prot human database (20,183 sequences), and MS data were further verified by western blot. PANTHER showed HFF proteins were involved in complement and coagulation cascade, growth factor and hormone, immunity, and transportation, KEGG indicated their pathway, and STRING demonstrated their interaction networks. In comparison, 32% and 50% of proteins have not been reported in previous human follicular fluid and plasma. Our HFF proteome research provided a new complementary high-confidence dataset of folliculogenesis and oocyte maturation environment. Those proteins associated with innate immunity, complement cascade, blood coagulation, and angiogenesis might serve as the biomarkers of female infertility and IVF outcome, and their pathways facilitated a complete exhibition of reproductive process.

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Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Student > Bachelor 9 15%
Student > Master 7 11%
Researcher 7 11%
Student > Doctoral Student 4 6%
Other 8 13%
Unknown 16 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 19%
Agricultural and Biological Sciences 11 18%
Medicine and Dentistry 6 10%
Veterinary Science and Veterinary Medicine 4 6%
Unspecified 2 3%
Other 6 10%
Unknown 21 34%