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Applying SWATH Mass Spectrometry to Investigate Human Cervicovaginal Fluid During the Menstrual Cycle1

Overview of attention for article published in Biology of Reproduction, June 2015
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Title
Applying SWATH Mass Spectrometry to Investigate Human Cervicovaginal Fluid During the Menstrual Cycle1
Published in
Biology of Reproduction, June 2015
DOI 10.1095/biolreprod.115.128231
Pubmed ID
Authors

Kanchan Vaswani, Keith Ashman, Sarah Reed, Carlos Salomon, Suchismita Sarker, Jose A. Arraztoa, Alejandra Pérez-Sepúlveda, Sebastian E. Illanes, David Kvaskoff, Murray D. Mitchell, Gregory E. Rice

Abstract

Inherent inter- and intra-individual variation in the length of the menstrual cycle limits the accuracy of predicting days of peak fertility. To improve detection of days of peak fertility, a more detailed understanding of longitudinal changes in cervicovaginal fluid (CVF) biomarkers during the normal menstrual cycle is needed. The aim of this study, therefore, was to characterize longitudinal changes in CVF proteins during the menstrual cycle using a quantitative, data-independent acquisition mass spectrometry approach. Six serial samples were collected from women (n = 10) during the menstrual cycle. Samples were obtained at two time points for each phase of the cycle: early and late pre-ovulatory, ovulatory and post-ovulatory. Information-Dependent Acquisition (IDA) of mass spectra from all individual CVF samples was initially performed and identified 278 total proteins. Samples were then pooled by time of collection (n = 6 pools) and analyzed using IDA and information-independent acquisition (SWATH). The IDA library generated contained 176 statistically significant protein identifications (P < 0.000158). The variation in the relative abundance of CVF proteins across the menstrual cycle was established by comparison with the SWATH profile against the IDA library. Using time-series, pooled samples obtained from 10 women, quantitative data were obtained by SWATH analysis for 43 CVF proteins. Of these proteins, 28 displayed significant variation in relative abundance during the menstrual cycle (assessed by ANOVA). Statistical significant changes in the relative expression of CVF proteins during pre-ovulatory, ovulatory and post-ovulatory phases of menstrual cycle were identified. The data obtained may be of utility not only in elucidating underlying physiological mechanisms but also as clinically useful biomarkers of fertility status.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 39%
Researcher 3 13%
Student > Master 2 9%
Professor 2 9%
Other 1 4%
Other 2 9%
Unknown 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 35%
Medicine and Dentistry 5 22%
Biochemistry, Genetics and Molecular Biology 4 17%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Engineering 1 4%
Other 0 0%
Unknown 4 17%
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 31 July 2015.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Biology of Reproduction
#3,509
of 4,933 outputs
Outputs of similar age
#165,710
of 278,432 outputs
Outputs of similar age from Biology of Reproduction
#34
of 82 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,933 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 278,432 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.