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Proteomic analysis of human follicular fluid from fertile women

Overview of attention for article published in Clinical Proteomics, March 2015
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Title
Proteomic analysis of human follicular fluid from fertile women
Published in
Clinical Proteomics, March 2015
DOI 10.1186/s12014-015-9077-6
Pubmed ID
Authors

Alberuni M Zamah, Maria E Hassis, Matthew E Albertolle, Katherine E Williams

Abstract

Follicular fluid is a unique biological fluid in which the critical events of oocyte and follicular maturation and somatic cell-germ cell communication occur. Because of the intimate proximity of follicular fluid to the maturing oocyte, this fluid provides a unique window into the processes occurring during follicular maturation. A thorough identification of the specific components within follicular fluid may provide a better understanding of intrafollicular signaling, as well as reveal potential biomarkers of oocyte health for women undergoing assisted reproductive treatment. In this study, we used high and low pH HPLC peptide separations followed by mass spectrometry to perform a comprehensive proteomic analysis of human follicular fluid from healthy ovum donors. Next, using samples from a second set of patients, an isobaric mass tagging strategy for quantitative analysis was used to identify proteins with altered abundances after hCG treatment. A total of 742 follicular fluid proteins were identified in healthy ovum donors, including 413 that have not been previously reported. The proteins belong to diverse functional groups including insulin growth factor and insulin growth factor binding protein families, growth factor and related proteins, receptor signaling, defense/immunity, anti-apoptotic proteins, matrix metalloprotease related proteins, and complement activity. In a quantitative analysis, follicular fluid samples from age-matched women undergoing in vitro fertilization oocyte retrieval were compared and 17 follicular fluid proteins were found at significantly altered levels (p < 0.05) between pre-hCG and post-hCG samples. These proteins belong to a variety of functional processes, including protease inhibition, inflammation, and cell adhesion. This database of FF proteins significantly extends the known protein components present during the peri-ovulatory period and provides a useful basis for future studies comparing follicular fluid proteomes in various fertility, disease, and environmental exposure conditions. We identified 17 differentially expressed proteins after hCG treatment and together these data showed the feasibility for defining biomarkers that illuminate how the ovarian follicle microenvironment is altered in various infertility-related conditions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Croatia 1 <1%
Unknown 105 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Researcher 17 16%
Student > Master 13 12%
Student > Doctoral Student 10 9%
Student > Bachelor 5 5%
Other 19 18%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 25%
Biochemistry, Genetics and Molecular Biology 24 23%
Medicine and Dentistry 22 21%
Veterinary Science and Veterinary Medicine 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 5 5%
Unknown 21 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 February 2016.
All research outputs
#15,329,087
of 22,799,071 outputs
Outputs from Clinical Proteomics
#176
of 283 outputs
Outputs of similar age
#152,480
of 256,949 outputs
Outputs of similar age from Clinical Proteomics
#4
of 4 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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