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Development of an Enhanced Metaproteomic Approach for Deepening the Microbiome Characterization of the Human Infant Gut

Authors :
Robert L. Hettich
Michael J. Morowitz
Jillian F. Banfield
Weili Xiong
Richard J. Giannone
Source :
Journal of Proteome Research, Journal of proteome research, vol 14, iss 1, Xiong, W; Giannone, RJ; Morowitz, MJ; Banfield, JF; & Hettich, RL. (2015). Development of an enhanced metaproteomic approach for deepening the microbiome characterization of the human infant gut. Journal of Proteome Research, 14(1), 133-141. doi: 10.1021/pr500936p. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/40q0s81j
Publication Year :
2014
Publisher :
American Chemical Society, 2014.

Abstract

© 2014 American Chemical Society. The establishment of early life microbiota in the human infant gut is highly variable and plays a crucial role in host nutrient availability/uptake and maturation of immunity. Although high-performance mass spectrometry (MS)-based metaproteomics is a powerful method for the functional characterization of complex microbial communities, the acquisition of comprehensive metaproteomic information in human fecal samples is inhibited by the presence of abundant human proteins. To alleviate this restriction, we have designed a novel metaproteomic strategy based on double filtering (DF) the raw samples, a method that fractionates microbial from human cells to enhance microbial protein identification and characterization in complex fecal samples from healthy premature infants. This method dramatically improved the overall depth of infant gut proteome measurement, with an increase in the number of identified low-abundance proteins and a greater than 2-fold improvement in microbial protein identification and quantification. This enhancement of proteome measurement depth enabled a more extensive microbiome comparison between infants by not only increasing the confidence of identified microbial functional categories but also revealing previously undetected categories.

Details

Language :
English
ISSN :
15353907 and 15353893
Volume :
14
Issue :
1
Database :
OpenAIRE
Journal :
Journal of Proteome Research
Accession number :
edsair.doi.dedup.....f3a96e7cac5dbfbe7898ae1a7a4b1827
Full Text :
https://doi.org/10.1021/pr500936p.