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Protein extraction method for the proteomic study of a Mexican traditional fermented starchy food

Overview of attention for article published in Journal of Proteomics, July 2014
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Article details
Title
Protein extraction method for the proteomic study of a Mexican traditional fermented starchy food
Published in
Journal of Proteomics, July 2014
DOI 10.1016/j.jprot.2014.06.028
Pubmed ID
Authors
Abstract

Pozol is a traditional fermented maize dough prepared in southeastern Mexico. Wide varieties of microorganisms have already been isolated from this spontaneously fermented product; and include fungi, yeasts, and lactic- and non-lactic acid bacteria. Pozol presents physicochemical features different from that of other food fermentation products, such as a high starch content, in addition to a low protein content. It is these qualities that make it intractable for protein recovery and characterization. The aim of this study was to develop a methodology to optimize the recovery of proteins from the pozol dough following fermentation, by reducing the complexity of the mixture prior to 2D-PAGE analysis and sequencing, to allow the characterization of the metaproteome of the dough. The proteome of 15day fermented maize dough was characterized; proteins were separated and analyzed by mass spectrometry (LC-MS/MS). Subsequent sequence homology database searching, identified numerous bacterial and fungi proteins; with a predominance of lactic acid bacterial proteins, mainly from the Lactobacillus genus. Fungi are mainly represented by Aspergillus. For dominant genera, the most prevalent proteins belong to carbohydrate metabolism and energy production, which suggest that at 15days of fermentation not only fungi but also bacteria are metabolically active.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Mexico 1 1%
India 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 14 20%
Researcher 12 17%
Student > Bachelor 9 13%
Student > Ph. D. Student 8 11%
Professor 4 6%
Other 10 14%
Unknown 13 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 29 41%
Biochemistry, Genetics and Molecular Biology 11 16%
Chemistry 4 6%
Nursing and Health Professions 2 3%
Engineering 2 3%
Other 6 9%
Unknown 16 23%
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 11 July 2014.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Journal of Proteomics
#3,066
of 3,461 outputs
Outputs of similar age
#208,266
of 242,166 outputs
Outputs of similar age from Journal of Proteomics
#27
of 42 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,461 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.