Evidence map›Paper›PMID 28137571›Full record

ReviewMethods in enzymology2017

Recent Achievements in Characterizing the Histone Code and Approaches to Integrating Epigenomics and Systems Biology.

K A Janssen, S Sidoli, B A Garcia

Abstract readReview
In one paragraph

Review in Methods in enzymology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
14.0field-weighted citation impact, top 1% 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

26 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Localization of Epigenetic Markers inPathogens (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. The regulatory genome of the malaria vectorNAR genomics and bioinformatics · 2021
    Article
  10. Review
  11. Article
  12. Cataloging Posttranslational Modifications in Plant Histones.Advances in experimental medicine and biology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

K A JanssenEpigenetics Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
S SidoliEpigenetics Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
B A GarciaEpigenetics Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States. Electronic address: bgarci@mail.med.upenn.edu.
University of Pennsylvania · US

Funding

Viral modulation of epitranscriptomic mechanismsR01AI118891 · NIAID · WASHINGTON UNIVERSITY · PI GARCIA, BENJAMIN A, WEITZMAN, MATTHEW D. · 2015 to 2025
$5.4M
Understanding the Role of Combinatorial Histone PTM PatternsR01GM110174 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI GARCIA, BENJAMIN A · 2014 to 2017
$1.3M
NIAID NIH HHS R01 AI118891NIGMS NIH HHS R01 GM110174
6 · The paper itself

Abstract

Functional epigenetic regulation occurs by dynamic modification of chromatin, including genetic material (i.e., DNA methylation), histone proteins, and other nuclear proteins. Due to the highly complex nature of the histone code, mass spectrometry (MS) has become the leading technique in identification of single and combinatorial histone modifications. MS has now overcome antibody-based strategies due to its automation, high resolution, and accurate quantitation. Moreover, multiple approaches to analysis have been developed for global quantitation of posttranslational modifications (PTMs), including large-scale characterization of modification coexistence (middle-down and top-down proteomics), which is not currently possible with any other biochemical strategy. Recently, our group and others have simplified and increased the effectiveness of analyzing histone PTMs by improving multiple MS methods and data analysis tools. This review provides an overview of the major achievements in the analysis of histone PTMs using MS with a focus on the most recent improvements. We speculate that the workflow for histone analysis at its state of the art is highly reliable in terms of identification and quantitation accuracy, and it has the potential to become a routine method for systems biology thanks to the possibility of integrating histone MS results with genomics and proteomics datasets.

Indexed as

Histone CodeAnimalsDNA MethylationEpigenesis, GeneticEpigenomicsHistonesHumansMass SpectrometryProtein Processing, Post-TranslationalProteomicsSystems BiologyHistonesChromatinEpigeneticsHistoneMass spectrometryPosttranslational modificationProteomicsQuantitative

Identifiers

PMID28137571
PMCPMC5512434
OpenAlexW2567895710

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.