Evidence map›Paper›PMID 23895656›Full record

ReviewEpigenomics2013

Combining genomic and proteomic approaches for epigenetics research.

Yumiao Han, Benjamin A Garcia

Abstract readReview
In one paragraph

Review in Epigenomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Technologies to Study Genetics and Molecular Pathways.Advances in experimental medicine and biology · 2024
    Review
  3. Review
  4. Article
  5. Proteomics Tracing the Footsteps of Infectious Disease.Molecular & cellular proteomics : MCP · 2017
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Comprehensive Catalog of Currently Documented Histone Modifications.Cold Spring Harbor perspectives in biology · 2015
    Review
  11. Review
  12. Article
  13. Review
  14. Only one health, and so many omics.Cancer cell international · 2015
    Article
  15. 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

2 authors.

Yumiao HanEpigenetics Program, Department of Biochemistry & Biophysics, Perelman School of Medicine, University of Pennsylvania, 1009C Stellar-Chance Laboratories, 422 Curie Boulevard, Philadelphia, PA 19104, USA.
Benjamin A Garcia

Funding

Novel Methodology for Quantitative High-throughput Cancer EpigeneticsDP2OD007447 · OD · UNIVERSITY OF PENNSYLVANIA · PI GARCIA, BENJAMIN A · 2010 to 2010
$2.4M
NIH HHS DP2 OD007447NIH HHS DP2OD007447
6 · The paper itself

Abstract

Epigenetics is the study of changes in gene expression or cellular phenotype that do not change the DNA sequence. In this review, current methods, both genomic and proteomic, associated with epigenetics research are discussed. Among them, chromatin immunoprecipitation (ChIP) followed by sequencing and other ChIP-based techniques are powerful techniques for genome-wide profiling of DNA-binding proteins, histone post-translational modifications or nucleosome positions. However, mass spectrometry-based proteomics is increasingly being used in functional biological studies and has proved to be an indispensable tool to characterize histone modifications, as well as DNA-protein and protein-protein interactions. With the development of genomic and proteomic approaches, combination of ChIP and mass spectrometry has the potential to expand our knowledge of epigenetics research to a higher level.

Indexed as

Epigenesis, GeneticAnimalsChromatin ImmunoprecipitationDNA-Binding ProteinsDNA MethylationGenomicsHistonesHumansMass SpectrometryNucleosomesProtein Processing, Post-TranslationalProteomicsSequence Analysis, DNADNA-Binding ProteinsHistonesNucleosomes

Identifiers

PMID23895656
PMCPMC4055025

What OpenQuestion holds

Textmetadata
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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.