Evidence map›Paper›PMID 27049631›Full record

ReviewAnnual review of analytical chemistry (Palo Alto, Calif.)2016

Proteogenomics: Integrating Next-Generation Sequencing and Mass Spectrometry to Characterize Human Proteomic Variation.

Gloria M Sheynkman, Michael R Shortreed, Anthony J Cesnik, Lloyd M Smith

Abstract readReview
In one paragraph

Review in Annual review of analytical chemistry (Palo Alto, Calif.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Article
  6. Review
  7. Review
  8. SpliceProt 2.0: A Sequence Repository of Human, Mouse, and Rat Proteoforms.International journal of molecular sciences · 2024
    Article
  9. Multi-omic stratification of the missense variant cysteinome.bioRxiv : the preprint server for biology · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  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

4 authors.

Gloria M SheynkmanCenter for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215; email: gloriam_sheynkman@dfci.harvard.edu.
Michael R ShortreedDepartment of Chemistry, University of Wisconsin, Madison, Wisconsin 53706; email: mshort@chem.wisc.edu , cesnik@wisc.edu.
Anthony J CesnikDepartment of Chemistry, University of Wisconsin, Madison, Wisconsin 53706; email: mshort@chem.wisc.edu , cesnik@wisc.edu.
Lloyd M SmithDepartment of Chemistry, University of Wisconsin, Madison, Wisconsin 53706; email: mshort@chem.wisc.edu , cesnik@wisc.edu.

Funding

Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
Tumor Cell Biology Training ProgramT32CA009361 · NCI · DANA-FARBER CANCER INSTITUTE · PI GRAY, NATHANAEL SCHIANDER · 1985 to 2015
$8.9M
Sequence-specific Hybridization Capture to Reveal the lncRNA Interactome in Prostate CancerR01CA193481 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI DAVID F. JARRARD, Lloyd M Smith · 2015 to 2026
$3.4M
Intact Proteoform Identification and QuantificationR01GM114292 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GOULD, MICHAEL N, SMITH, LLOYD M · 2015 to 2018
$1.6M
NCI NIH HHS R01 CA193481NCI NIH HHS T32 CA009361NHGRI NIH HHS T32 HG002760NIGMS NIH HHS R01 GM114292NLM NIH HHS T15 LM007359
6 · The paper itself

Abstract

Mass spectrometry-based proteomics has emerged as the leading method for detection, quantification, and characterization of proteins. Nearly all proteomic workflows rely on proteomic databases to identify peptides and proteins, but these databases typically contain a generic set of proteins that lack variations unique to a given sample, precluding their detection. Fortunately, proteogenomics enables the detection of such proteomic variations and can be defined, broadly, as the use of nucleotide sequences to generate candidate protein sequences for mass spectrometry database searching. Proteogenomics is experiencing heightened significance due to two developments: (a) advances in DNA sequencing technologies that have made complete sequencing of human genomes and transcriptomes routine, and (b) the unveiling of the tremendous complexity of the human proteome as expressed at the levels of genes, cells, tissues, individuals, and populations. We review here the field of human proteogenomics, with an emphasis on its history, current implementations, the types of proteomic variations it reveals, and several important applications.

Indexed as

Mass SpectrometryProteogenomicsBase SequenceGenetic VariationHumansProteinsProteinsalternative splicingcustomized protein databasesgenetic variationisoformsnovel splice junctionpolymorphismproteoformproteomicssample-specific databasessingle amino acid variant

Identifiers

PMID27049631
PMCPMC4991544

What OpenQuestion holds

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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.