Evidence map›Paper›PMID 29912191›Full record

ArticleJournal of visualized experiments : JoVE2018

Adaptation of Hybridization Capture of Chromatin-associated Proteins for Proteomics to Mammalian Cells.

Hector Guillen-Ahlers, Prahlad K Rao, Danu S Perumalla, Maria J Montoya, Avinash Y L Jadhav, Michael R Shortreed, Lloyd M Smith, Michael Olivier

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 96% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

8 authors at 2 institutions in 1 country.

Hector Guillen-AhlersDepartment of Genetics, Texas Biomedical Research Institute; Department of Internal Medicine-Molecular Medicine, Wake Forest University School of Medicine.
Prahlad K RaoDepartment of Genetics, Texas Biomedical Research Institute.
Danu S PerumallaDepartment of Genetics, Texas Biomedical Research Institute.
Maria J MontoyaDepartment of Genetics, Texas Biomedical Research Institute.
Avinash Y L JadhavDepartment of Genetics, Texas Biomedical Research Institute.
Michael R ShortreedDepartment of Chemistry, University of Wisconsin.
Lloyd M SmithDepartment of Chemistry, University of Wisconsin.
Michael OlivierDepartment of Genetics, Texas Biomedical Research Institute; Department of Internal Medicine-Molecular Medicine, Wake Forest University School of Medicine; molivier@wakehealth.edu.
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
Functional characterization of regulatory sequence variants in complex diseasesR01GM109099 · NIGMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI OLIVIER, MICHAEL · 2014 to 2017
$2.6M
NHGRI NIH HHS P50 HG004952NIGMS NIH HHS R01 GM109099
6 · The paper itself

Abstract

The hybridization capture of chromatin-associated proteins for proteomics (HyCCAPP) technology was initially developed to uncover novel DNA-protein interactions in yeast. It allows analysis of a target region of interest without the need for prior knowledge about likely proteins bound to the target region. This, in theory, allows HyCCAPP to be used to analyze any genomic region of interest, and it provides sufficient flexibility to work in different cell systems. This method is not meant to study binding sites of known transcription factors, a task better suited for Chromatin Immunoprecipitation (ChIP) and ChIP-like methods. The strength of HyCCAPP lies in its ability to explore DNA regions for which there is limited or no knowledge about the proteins bound to it. It can also be a convenient method to avoid biases (present in ChIP-like methods) introduced by protein-based chromatin enrichment using antibodies. Potentially, HyCCAPP can be a powerful tool to uncover truly novel DNA-protein interactions. To date, the technology has been predominantly applied to yeast cells or to high copy repeat sequences in mammalian cells. In order to become the powerful tool we envision, HyCCAPP approaches need to be optimized to efficiently capture single-copy loci in mammalian cells. Here, we present our adaptation of the initial yeast HyCCAPP capture protocol to human cell lines, and show that single-copy chromatin regions can be efficiently isolated with this modified protocol.

Indexed as

AnimalsChromatin ImmunoprecipitationHumansNucleic Acid HybridizationProteomics

Identifiers

PMID29912191
PMCPMC6101452
OpenAlexW2805191228

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.