Evidence map›Paper›PMID 24803678›Full record

ReviewPhysiological genomics2014

Advanced methods for the analysis of chromatin-associated proteins.

Hector Guillen-Ahlers, Michael R Shortreed, Lloyd M Smith, Michael Olivier

Open access · greenAbstract readReview
In one paragraph

Review in Physiological genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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  3. Review
  4. 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

4 authors at 2 institutions in 1 country.

Hector Guillen-AhlersDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, Texas; and.
Michael R ShortreedDepartment of Chemistry, University of Wisconsin, Madison, Wisconsin.
Lloyd M SmithDepartment of Chemistry, University of Wisconsin, Madison, Wisconsin.
Michael OlivierDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, Texas; and molivier@txbiomedgenetics.org.
Texas Biomedical Research Institute · USUniversity of Wisconsin–Madison · US

Funding

Wisconsin Center of Excellence in Genomics ScienceP50HG004952 · NHGRI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI OLIVIER, MICHAEL · 2009 to 2013
$13.0M
NHGRI NIH HHS P50 HG-004952
6 · The paper itself

Abstract

DNA-protein interactions are central to gene expression and chromatin regulation and have become one of the main focus areas of the ENCODE consortium. Advances in mass spectrometry and associated technologies have facilitated studies of these interactions, revealing many novel DNA-interacting proteins and histone posttranslational modifications. Proteins interacting at a single locus or at multiple loci have been targeted in these recent studies, each requiring a separate analytical strategy for isolation and analysis of DNA-protein interactions. The enrichment of target chromatin fractions occurs via a number of methods including immunoprecipitation, affinity purification, and hybridization, with the shared goal of using proteomics approaches as the final readout. The result of this is a number of exciting new tools, with distinct strengths and limitations that can enable highly robust and novel chromatin studies when applied appropriately. The present review compares and contrasts these methods to help the reader distinguish the advantages of each approach.

Indexed as

AnimalsChromatinChromatin ImmunoprecipitationDNADNA-Binding ProteinsHistonesHumansMass SpectrometryProtein Interaction MapsProteomicsChromatinDNADNA-Binding ProteinsHistonesaffinity purificationchromatinchromatin enrichmentDNA-protein interactionsmass spectrometry

Identifiers

PMID24803678
PMCPMC4080278
OpenAlexW1990687956

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.