↓ Skip to main content

PLOS

Proteogenomic Analysis of Bacteria and Archaea: A 46 Organism Case Study

Overview of attention for article published in PLOS ONE, November 2011
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
77 Mendeley
citeulike
1 CiteULike
Title
Proteogenomic Analysis of Bacteria and Archaea: A 46 Organism Case Study
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027587
Pubmed ID
Authors

Eli Venter, Richard D. Smith, Samuel H. Payne

Abstract

Experimental evidence is increasingly being used to reassess the quality and accuracy of genome annotation. Proteomics data used for this purpose, called proteogenomics, can alleviate many of the problematic areas of genome annotation, e.g. short protein validation and start site assignment. We performed a proteogenomic analysis of 46 genomes spanning eight bacterial and archaeal phyla across the tree of life. These diverse datasets facilitated the development of a robust approach for proteogenomics that is functional across genomes varying in %GC, gene content, proteomic sampling depth, phylogeny, and genome size. In addition to finding evidence for 682 novel proteins, 1336 new start sites, and numerous dubious genes, we discovered sites of post-translational maturation in the form of proteolytic cleavage of 1175 signal peptides. The number of novel proteins per genome is highly variable (median 7, mean 15, stdev 20). Moreover, comparison of novel genes with the current genes did not reveal any consistent abnormalities. Thus, we conclude that proteogenomics fulfills a yet to be understood deficiency in gene prediction. With the adoption of new sequencing technologies which have higher error rates than Sanger-based methods and the advances in proteomics, proteogenomics may become even more important in the future.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 6%
Germany 1 1%
Turkey 1 1%
Brazil 1 1%
France 1 1%
Russia 1 1%
Belgium 1 1%
Unknown 66 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 31%
Student > Ph. D. Student 16 21%
Student > Master 6 8%
Other 6 8%
Professor 5 6%
Other 13 17%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 55%
Biochemistry, Genetics and Molecular Biology 10 13%
Chemistry 3 4%
Computer Science 2 3%
Immunology and Microbiology 2 3%
Other 6 8%
Unknown 12 16%