Evidence map›Paper›PMID 18426904›Full record

ArticleGenome research2008

Comparative proteogenomics: combining mass spectrometry and comparative genomics to analyze multiple genomes.

Nitin Gupta, Jamal Benhamida, Vipul Bhargava, Daniel Goodman, Elisabeth Kain, Ian Kerman, Ngan Nguyen, Noah Ollikainen, Jesse Rodriguez, Jian Wang and 5 more

Abstract readComparative Study
In one paragraph

Article in Genome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

  1. Article
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  10. Review
  11. Systems biology perspectives on minimal and simpler cells.Microbiology and molecular biology reviews : MMBR · 2014
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Protein identification using top-down.Molecular & cellular proteomics : MCP · 2012
    Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Nitin GuptaBioinformatics Program, University of California San Diego, La Jolla, California 92093, USA. ngupta@ucsd.edu
Jamal Benhamida
Vipul Bhargava
Daniel Goodman
Elisabeth Kain
Ian Kerman
Ngan Nguyen
Noah Ollikainen
Jesse Rodriguez
Jian Wang
Mary S Lipton
Margaret Romine
Vineet Bafna
Richard D Smith
Pavel A Pevzner

Funding

Computer Mass-SpectrometryR01RR016522 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2002 to 2008
$3.6M
Howard Hughes Medical InstituteNCRR NIH HHS 1-R01-RR16522NCRR NIH HHS R01 RR016522
6 · The paper itself

Abstract

Recent proliferation of low-cost DNA sequencing techniques will soon lead to an explosive growth in the number of sequenced genomes and will turn manual annotations into a luxury. Mass spectrometry recently emerged as a valuable technique for proteogenomic annotations that improves on the state-of-the-art in predicting genes and other features. However, previous proteogenomic approaches were limited to a single genome and did not take advantage of analyzing mass spectrometry data from multiple genomes at once. We show that such a comparative proteogenomics approach (like comparative genomics) allows one to address the problems that remained beyond the reach of the traditional "single proteome" approach in mass spectrometry. In particular, we show how comparative proteogenomics addresses the notoriously difficult problem of "one-hit-wonders" in proteomics, improves on the existing gene prediction tools in genomics, and allows identification of rare post-translational modifications. We therefore argue that complementing DNA sequencing projects by comparative proteogenomics projects can be a viable approach to improve both genomic and proteomic annotations.

Indexed as

Genome, BacterialGenomicsMass SpectrometryProteomicsTandem Mass SpectrometryAmino Acid SequenceBase SequenceMolecular Sequence DataSequence Analysis, DNAShewanella putrefaciens

Identifiers

PMID18426904
PMCPMC2493402

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.