Evidence map›Paper›PMID 27225868›Full record

ArticleJournal of proteome research2016

JUMPg: An Integrative Proteogenomics Pipeline Identifying Unannotated Proteins in Human Brain and Cancer Cells.

Yuxin Li, Xusheng Wang, Ji-Hoon Cho, Timothy I Shaw, Zhiping Wu, Bing Bai, Hong Wang, Suiping Zhou, Thomas G Beach, Gang Wu and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
6.6field-weighted citation impact, top 3% of its field
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

62 citing papers in PubMed, 96 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Proteogenomic Approaches for Diseasome Studies.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  7. Article
  8. Article
  9. SpliceProt 2.0: A Sequence Repository of Human, Mouse, and Rat Proteoforms.International journal of molecular sciences · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Interrogating bromodomain inhibitor resistance in KMT2A-rearranged leukemia through combinatorial CRISPR screens.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

2 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

12 authors at 2 institutions in 1 country.

Yuxin Li
Xusheng Wang
Ji-Hoon Cho
Timothy I Shaw
Zhiping Wu
Bing Bai
Hong WangIntegrated Biomedical Sciences Program, University of Tennessee Health Science Center , 920 Madison Avenue, Memphis, Tennessee 38163, United States.
Suiping Zhou
Thomas G BeachBanner Sun Health Research Institute , Sun City, Arizona 85351, United States.
Gang Wu
Jinghui Zhang
Junmin Peng
Banner Sun Health Research Institute · USUniversity of Tennessee Health Science Center · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI GONZALEZ HERNANDEZ, GRACIELA · 2001 to 2020
$32.5M
National Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8M
RNA splicing dysfunction in Alzheimer's diseaseR01AG047928 · NIA · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI PENG, JUNMIN · 2015 to 2019
$1.8M
Proteomics Approaches to Protein TurnoverR01GM114260 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI PENG, JUNMIN · 2016 to 2019
$1.4M
NCI NIH HHS P30 CA021765NIA NIH HHS P30 AG019610NIA NIH HHS R01 AG047928NIGMS NIH HHS R01 GM114260NINDS NIH HHS U24 NS072026
6 · The paper itself

Abstract

Proteogenomics is an emerging approach to improve gene annotation and interpretation of proteomics data. Here we present JUMPg, an integrative proteogenomics pipeline including customized database construction, tag-based database search, peptide-spectrum match filtering, and data visualization. JUMPg creates multiple databases of DNA polymorphisms, mutations, splice junctions, partially trypticity, as well as protein fragments translated from the whole transcriptome in all six frames upon RNA-seq de novo assembly. We use a multistage strategy to search these databases sequentially, in which the performance is optimized by re-searching only unmatched high-quality spectra and reusing amino acid tags generated by the JUMP search engine. The identified peptides/proteins are displayed with gene loci using the UCSC genome browser. Then, the JUMPg program is applied to process a label-free mass spectrometry data set of Alzheimer's disease postmortem brain, uncovering 496 new peptides of amino acid substitutions, alternative splicing, frame shift, and "non-coding gene" translation. The novel protein PNMA6BL specifically expressed in the brain is highlighted. We also tested JUMPg to analyze a stable-isotope labeled data set of multiple myeloma cells, revealing 991 sample-specific peptides that include protein sequences in the immunoglobulin light chain variable region. Thus, the JUMPg program is an effective proteogenomics tool for multiomics data integration.

Indexed as

Brain ChemistryWorkflowAlzheimer DiseaseData MiningHumansMultiple MyelomaNeoplasm ProteinsNeoplasmsPeptidesProteinsProteogenomicsSearch EngineSoftwareNeoplasm ProteinsPeptidesProteinsdatabase searchgenomicsmass spectrometrymultistage analysisproteogenomicsproteomicsRNA-seqspectrum quality control

Identifiers

PMID27225868
PMCPMC5033046
OpenAlexW2403906864

What OpenQuestion holds

Textmetadata
LicenceTDM
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.