Evidence map›Paper›PMID 25000943›Full record

ArticleMolecular & cellular proteomics : MCP2014

Stable-isotope-labeled histone peptide library for histone post-translational modification and variant quantification by mass spectrometry.

Shu Lin, Samuel Wein, Michelle Gonzales-Cope, Gabriel L Otte, Zuo-Fei Yuan, Leila Afjehi-Sadat, Tobias Maile, Shelley L Berger, John Rush, Jennie R Lill and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
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  8. A Super-SILAC Approach for Profiling Histone Posttranslational Modifications.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  9. Review
  10. Review
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  13. Histone H1 Post-Translational Modifications: Update and Future Perspectives.International journal of molecular sciences · 2020
    Review
  14. Article
  15. Article
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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 4 institutions in 1 country.

Shu LinFrom the ‡Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104;
Samuel WeinFrom the ‡Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104;
Michelle Gonzales-CopeFrom the ‡Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104; §Department of Molecular Biology, Princeton University, Princeton, New Jersey 08544;
Gabriel L Otte¶Epigenetics Program, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104;
Zuo-Fei YuanFrom the ‡Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104;
Leila Afjehi-SadatFrom the ‡Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104;
Tobias Maile‖Department of Protein Chemistry, Genentech Inc., South San Francisco, California 94080;
Shelley L Berger¶Epigenetics Program, Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104;
John Rush**Cell Signaling Technology Inc., Danvers, Massachusetts 01923.
Jennie R Lill‖Department of Protein Chemistry, Genentech Inc., South San Francisco, California 94080;
David Arnott‖Department of Protein Chemistry, Genentech Inc., South San Francisco, California 94080;
Benjamin A GarciaFrom the ‡Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104; bgarci@mail.med.upenn.edu.
University of Pennsylvania · USPDL BioPharma (United States) · USCell Signaling Technology (United States) · USPrinceton University · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007388 · NIGMS · PRINCETON UNIVERSITY · PI CRISTEA, ILEANA M. · 1985 to 2022
$27.4M
Novel Methodology for Quantitative High-throughput Cancer EpigeneticsDP2OD007447 · OD · UNIVERSITY OF PENNSYLVANIA · PI GARCIA, BENJAMIN A · 2010 to 2010
$2.4M
NIEHS NIH HHS P30 ES013508NIGMS NIH HHS T32 GM007388NIH HHS DP2 OD007447
6 · The paper itself

Abstract

To facilitate accurate histone variant and post-translational modification (PTM) quantification via mass spectrometry, we present a library of 93 synthetic peptides using Protein-Aqua™ technology. The library contains 55 peptides representing different modified forms from histone H3 peptides, 23 peptides representing H4 peptides, 5 peptides representing canonical H2A peptides, 8 peptides representing H2A.Z peptides, and peptides for both macroH2A and H2A.X. The PTMs on these peptides include lysine mono- (me1), di- (me2), and tri-methylation (me3); lysine acetylation; arginine me1; serine/threonine phosphorylation; and N-terminal acetylation. The library was subjected to chemical derivatization with propionic anhydride, a widely employed protocol for histone peptide quantification. Subsequently, the detection efficiencies were quantified using mass spectrometry extracted ion chromatograms. The library yields a wide spectrum of detection efficiencies, with more than 1700-fold difference between the peptides with the lowest and highest efficiencies. In this paper, we describe the impact of different modifications on peptide detection efficiencies and provide a resource to correct for detection biases among the 93 histone peptides. In brief, there is no correlation between detection efficiency and molecular weight, hydrophobicity, basicity, or modification type. The same types of modifications may have very different effects on detection efficiencies depending on their positions within a peptide. We also observed antagonistic effects between modifications. In a study of mouse trophoblast stem cells, we utilized the detection efficiencies of the peptide library to correct for histone PTM/variant quantification. For most histone peptides examined, the corrected data did not change the biological conclusions but did alter the relative abundance of these peptides. For a low-abundant histone H2A variant, macroH2A, the corrected data led to a different conclusion than the uncorrected data. The peptide library and detection efficiencies presented here may serve as a resource to facilitate studies in the epigenetics and proteomics fields.

Indexed as

Peptide LibraryAmino AcidsAnimalsCells, CulturedHistonesIsotope LabelingMass SpectrometryMethylationMicePhosphorylationProtein Processing, Post-TranslationalStem CellsTrophoblastsAmino AcidsHistonesPeptide Library

Identifiers

PMID25000943
PMCPMC4159661
OpenAlexW2156998100

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.