Evidence map›Paper›PMID 29899466›Full record

ArticleNature communications2018

Deducing the presence of proteins and proteoforms in quantitative proteomics.

Casimir Bamberger, Salvador Martínez-Bartolomé, Miranda Montgomery, Sandra Pankow, John D Hulleman, Jeffery W Kelly, John R Yates

Open access · goldAbstract readComparative Study
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Proteoforms as the true units of physiological function.European journal of applied physiology · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Cancer Conformational Landscape Shapes Tumorigenesis.Journal of proteome research · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
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

7 authors at 2 institutions in 1 country.

Casimir BambergerDepartment of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA.ORCID http://orcid.org/0000-0002-3830-4486
Salvador Martínez-BartoloméDepartment of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA.ORCID http://orcid.org/0000-0001-7592-5612
Miranda MontgomeryDepartment of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA.
Sandra PankowDepartment of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA.
John D HullemanDepartments of Ophthalmology and Pharmacology, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390-9057, USA.
Jeffery W KellyThe Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA, 92037, USA.
John R YatesDepartment of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA, 92037, USA. jyates@scripps.edu.ORCID http://orcid.org/0000-0001-5267-1672
Scripps Research Institute · USThe University of Texas Southwestern Medical Center · US

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
TRAFFICKING AND ABETA AGGREGATIONP01AG031097 · NIA · SCRIPPS RESEARCH INSTITUTE, THE · PI KELLY, JEFFERY W · 2009 to 2013
$10.2M
Proteomic Profiling of CFTR Protein InteractionR01HL079442 · NHLBI · SCRIPPS RESEARCH INSTITUTE, THE · PI BALCH, WILLIAM EDWARD, YATES III, JOHN R · 2005 to 2014
$4.6M
Measurement of Aberrant Protein Folds in Malignant Cells with Proteomics and Mass SpectrometryR33CA212973 · NCI · SCRIPPS RESEARCH INSTITUTE, THE · PI YATES III, JOHN R · 2017 to 2019
$1.2M
NCI NIH HHS R33 CA212973NIA NIH HHS P01 AG031097NIGMS NIH HHS P41 GM103533U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 5R01HL079442-08U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) HHSN268201000035CU.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) P41 GM103533U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) P01AG031097
6 · The paper itself

Abstract

The human genome harbors just 20,000 genes suggesting that the variety of possible protein products per gene plays a significant role in generating functional diversity. In bottom-up proteomics peptides are mapped back to proteins and proteoforms to describe a proteome; however, accurate quantitation of proteoforms is challenging due to incomplete protein sequence coverage and mapping ambiguities. Here, we demonstrate that a new software tool called ProteinClusterQuant (PCQ) can be used to deduce the presence of proteoforms that would have otherwise been missed, as exemplified in a proteomic comparison of two fly species, Drosophila melanogaster and D. virilis. PCQ was used to identify reduced levels of serine/threonine protein kinases PKN1 and PKN4 in CFBE41o

Indexed as

AnimalsCell LineCystic Fibrosis Transmembrane Conductance RegulatorDrosophilaDrosophila melanogasterDrosophila ProteinsHumansProtein Interaction MapsProtein IsoformsProtein Serine-Threonine KinasesProteomeProteomicsSoftwareSpecies SpecificityCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorDrosophila ProteinsProtein IsoformsProtein Serine-Threonine KinasesProteome

Identifiers

PMID29899466
PMCPMC5998138
OpenAlexW2805582443

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.