Evidence map›Paper›PMID 23448259›Full record

ArticleBMC genomics2013

Whole human genome proteogenomic mapping for ENCODE cell line data: identifying protein-coding regions.

Jainab Khatun, Yanbao Yu, John A Wrobel, Brian A Risk, Harsha P Gunawardena, Ashley Secrest, Wendy J Spitzer, Ling Xie, Li Wang, Xian Chen and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A Multi-Faceted Analysis ShowingInternational journal of molecular sciences · 2024
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  8. Translatomics: The Global View of Translation.International journal of molecular sciences · 2019
    Review
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  11. Review
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  14. Review
  15. Article
  16. Article
  17. Article
  18. Proteome sequencing goes deep.Current opinion in chemical biology · 2015
    Review
  19. Article
  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

11 authors.

Jainab KhatunCollege of Arts and Sciences, Boise State University, Boise, ID, USA. jainabkhatun@boisestate.edu
Yanbao Yu
John A Wrobel
Brian A Risk
Harsha P Gunawardena
Ashley Secrest
Wendy J Spitzer
Ling Xie
Li Wang
Xian Chen
Morgan C Giddings

Funding

Developing Software For Protein-Based Gene FindingR01HG003700 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GIDDINGS, MORGAN CORINNE · 2005 to 2011
$3.3M
Generating and Managing Large Scale Proteogenomic Data for ENCODE Cell LinesRC2HG005591 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHEN, XIAN, GIDDINGS, MORGAN CORINNE · 2009 to 2010
$1.6M
NHGRI NIH HHS 1RC2HG005591NHGRI NIH HHS R01HG003700
6 · The paper itself

Abstract

backgroundProteogenomic mapping is an approach that uses mass spectrometry data from proteins to directly map protein-coding genes and could aid in locating translational regions in the human genome. In concert with the ENcyclopedia of DNA Elements (ENCODE) project, we applied proteogenomic mapping to produce proteogenomic tracks for the UCSC Genome Browser, to explore which putative translational regions may be missing from the human genome.

resultsWe generated ~1 million high-resolution tandem mass (MS/MS) spectra for Tier 1 ENCODE cell lines K562 and GM12878 and mapped them against the UCSC hg19 human genome, and the GENCODE V7 annotated protein and transcript sets. We then compared the results from the three searches to identify the best-matching peptide for each MS/MS spectrum, thereby increasing the confidence of the putative new protein-coding regions found via the whole genome search. At a 1% false discovery rate, we identified 26,472, 24,406, and 13,128 peptides from the protein, transcript, and whole genome searches, respectively; of these, 481 were found solely via the whole genome search. The proteogenomic mapping data are available on the UCSC Genome Browser at http://genome.ucsc.edu/cgi-bin/hgTrackUi?db=hg19&g=wgEncodeUncBsuProt.

conclusionsThe whole genome search revealed that ~4% of the uniquely mapping identified peptides were located outside GENCODE V7 annotated exons. The comparison of the results from the disparate searches also identified 15% more spectra than would have been found solely from a protein database search. Therefore, whole genome proteogenomic mapping is a complementary method for genome annotation when performed in conjunction with other searches.

Indexed as

Databases, GeneticGenome, HumanMolecular Sequence AnnotationCell LineChromosome MappingComputational BiologyHumansMass SpectrometryOpen Reading FramesSequence Analysis, DNA

Identifiers

PMID23448259
PMCPMC3607840

What OpenQuestion holds

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LicenceCC BY
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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.