Evidence map›Paper›PMID 30093420›Full record

ArticleMolecular & cellular proteomics : MCP2018

gpGrouper: A Peptide Grouping Algorithm for Gene-Centric Inference and Quantitation of Bottom-Up Proteomics Data.

Alexander B Saltzman, Mei Leng, Bhoomi Bhatt, Purba Singh, Doug W Chan, Lacey Dobrolecki, Hamssika Chandrasekaran, Jong M Choi, Antrix Jain, Sung Y Jung and 3 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing 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

79 citing papers in PubMed.

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  18. The Impact ofViruses · 2025
    Article
  19. Article
  20. Sex Differences in Response to Diet Enriched With Glutathione Precursors in the Aging Heart.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article

19 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

13 authors.

Alexander B SaltzmanFrom the ‡Verna and Marrs McLean Department of Biochemistry and Molecular Biology.ORCID 0000-0003-4166-9555
Mei LengFrom the ‡Verna and Marrs McLean Department of Biochemistry and Molecular Biology.
Bhoomi BhattFrom the ‡Verna and Marrs McLean Department of Biochemistry and Molecular Biology.
Purba Singh§Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030.
Doug W Chan§Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030.
Lacey Dobrolecki§Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030.
Hamssika Chandrasekaran¶Mass Spectrometry Proteomics Core.
Jong M Choi¶Mass Spectrometry Proteomics Core.
Antrix Jain¶Mass Spectrometry Proteomics Core.
Sung Y JungFrom the ‡Verna and Marrs McLean Department of Biochemistry and Molecular Biology.
Michael T Lewis§Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030.
Matthew J Ellis§Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030.
Anna MalovannayaFrom the ‡Verna and Marrs McLean Department of Biochemistry and Molecular Biology; anna.malovannaya@bcm.edu.ORCID 0000-0003-2953-6485

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
MICROSCALED PROTEOGENOMICS FOR CANCER CLINICAL TRIALSU01CA214125 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ANURAG, MEENAKSHI, CARR, STEVEN A · 2017 to 2021
$7.0M
iPGDAC, An Integrative Proteogenomic Data Analysis Center for CPTACU24CA210954 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ZHANG, BING · 2016 to 2020
$4.9M
NCI NIH HHS P30 CA125123NCI NIH HHS U01 CA214125NCI NIH HHS U24 CA210954
6 · The paper itself

Abstract

In quantitative mass spectrometry, the method by which peptides are grouped into proteins can have dramatic effects on downstream analyses. Here we describe gpGrouper, an inference and quantitation algorithm that offers an alternative method for assignment of protein groups by gene locus and improves pseudo-absolute iBAQ quantitation by weighted distribution of shared peptide areas. We experimentally show that distributing shared peptide quantities based on unique peptide peak ratios improves quantitation accuracy compared with conventional winner-take-all scenarios. Furthermore, gpGrouper seamlessly handles two-species samples such as patient-derived xenografts (PDXs) without ignoring the host species or species-shared peptides. This is a critical capability for proper evaluation of proteomics data from PDX samples, where stromal infiltration varies across individual tumors. Finally, gpGrouper calculates peptide peak area (MS1) based expression estimates from multiplexed isobaric data, producing iBAQ results that are directly comparable across label-free, isotopic, and isobaric proteomics approaches.

Indexed as

AlgorithmsAnimalsGenesHeLa CellsHumansMiceMice, SCIDNIH 3T3 CellsPeptidesProteomeProteomicsReproducibility of ResultsXenograft Model Antitumor AssaysPeptidesProteomeBioinformatics softwareCancer BiologyiTRAQLabel-free quantificationMass SpectrometryMouse modelspatient derived xenograftprotein inferenceQuantificationshared peptides

Identifiers

PMID30093420
PMCPMC6210220

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.