Evidence map›Paper›PMID 17690205›Full record

ArticleGenome research2007

Whole proteome analysis of post-translational modifications: applications of mass-spectrometry for proteogenomic annotation.

Nitin Gupta, Stephen Tanner, Navdeep Jaitly, Joshua N Adkins, Mary Lipton, Robert Edwards, Margaret Romine, Andrei Osterman, Vineet Bafna, Richard D Smith and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed, 192 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Identification of Novel Genes and Proteoforms inPathogens (Basel, Switzerland) · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Fast Sampling of the Cellular Metabolome.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Methods, Tools and Current Perspectives in Proteogenomics.Molecular & cellular proteomics : MCP · 2017
    Review
  19. Article
  20. Review

36 more citing papers are in PubMed but not listed here.

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

11 authors at 3 institutions in 1 country.

Nitin GuptaBioinformatics Program, University of California San Diego, La Jolla, California 92093, USA. nguta@ucsd.edu
Stephen Tanner
Navdeep Jaitly
Joshua N Adkins
Mary Lipton
Robert Edwards
Margaret Romine
Andrei Osterman
Vineet Bafna
Richard D Smith
Pavel A Pevzner
Pacific Northwest National Laboratory · USUniversity of California San Diego · USSanford Burnham Prebys Medical Discovery Institute · US

Funding

VISUALIZATION TOOLS FOR AUTOMATED MOLECULAR MICROSCOPYP41RR008605 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAPADOPOULOS, PHILIP · 1994 to 2011
$28.1M
Computer Mass-SpectrometryR01RR016522 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2002 to 2008
$3.6M
INFRASTRUCTURE OF BIOENGINEERING DEVELOPMENTC06RR017588 · NCRR · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI GOUGH, DAVID A · 2002 to 2002
$696k
NCRR NIH HHS 1-R01-RR16522NCRR NIH HHS C06 RR017588NCRR NIH HHS P41 RR008605NCRR NIH HHS P41 RR08605NCRR NIH HHS R01 RR016522
6 · The paper itself

Abstract

While bacterial genome annotations have significantly improved in recent years, techniques for bacterial proteome annotation (including post-translational chemical modifications, signal peptides, proteolytic events, etc.) are still in their infancy. At the same time, the number of sequenced bacterial genomes is rising sharply, far outpacing our ability to validate the predicted genes, let alone annotate bacterial proteomes. In this study, we use tandem mass spectrometry (MS/MS) to annotate the proteome of Shewanella oneidensis MR-1, an important microbe for bioremediation. In particular, we provide the first comprehensive map of post-translational modifications in a bacterial genome, including a large number of chemical modifications, signal peptide cleavages, and cleavages of N-terminal methionine residues. We also detect multiple genes that were missed or assigned incorrect start positions by gene prediction programs, and suggest corrections to improve the gene annotation. This study demonstrates that complementing every genome sequencing project by an MS/MS project would significantly improve both genome and proteome annotations for a reasonable cost.

Indexed as

Protein Processing, Post-TranslationalAmino Acid SequenceCytoskeletal ProteinsEye ProteinsGenome, BacterialGenomicsGlycoproteinsMass SpectrometryModels, BiologicalMolecular Sequence DataMyocilinPeptidesProteomeProteomicsSequence Homology, Amino AcidShewanellaCytoskeletal ProteinsEye ProteinsGlycoproteinsMyocilinPeptidesProteome

Identifiers

PMID17690205
PMCPMC1950905
OpenAlexW2146188580

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.