Evidence map›Paper›PMID 24919486›Full record

ArticleScientific reports2014

Fully automated high-throughput chromatin immunoprecipitation for ChIP-seq: identifying ChIP-quality p300 monoclonal antibodies.

William C Gasper, Georgi K Marinov, Florencia Pauli-Behn, Max T Scott, Kimberly Newberry, Gilberto DeSalvo, Susan Ou, Richard M Myers, Jost Vielmetter, Barbara J Wold

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 35 citations in OpenAlex.

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  5. A parallelized, automated platform enabling individual or sequential ChIP of histone marks and transcription factors.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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

10 authors at 2 institutions in 1 country.

William C Gasper1] Division of Biology and Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA [2].
Georgi K MarinovDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA.
Florencia Pauli-BehnHudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA.
Max T ScottDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA.
Kimberly NewberryHudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA.
Gilberto DeSalvoDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA.
Susan OuDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA.
Richard M MyersHudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA.
Jost Vielmetter1] Division of Biology and Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA [2].
Barbara J Wold1] Division of Biology and Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA [2].
California Institute of Technology · USHudsonAlpha Institute for Biotechnology · US

Funding

Global Annotation of Regulatory Elements in the Human GenomeU54HG004576 · NHGRI · STANFORD UNIVERSITY · PI MYERS, RICHARD M · 2007 to 2011
$21.8M
Toward a comprehensive functional annotation of the human genomeU54HG006998 · NHGRI · HUDSON-ALPHA INSTITUTE FOR BIOTECHNOLOGY · PI MYERS, RICHARD M · 2012 to 2016
$17.5M
NHGRI NIH HHS U54 HG004576NHGRI NIH HHS U54 HG006998
6 · The paper itself

Abstract

Chromatin immunoprecipitation coupled with DNA sequencing (ChIP-seq) is the major contemporary method for mapping in vivo protein-DNA interactions in the genome. It identifies sites of transcription factor, cofactor and RNA polymerase occupancy, as well as the distribution of histone marks. Consortia such as the ENCyclopedia Of DNA Elements (ENCODE) have produced large datasets using manual protocols. However, future measurements of hundreds of additional factors in many cell types and physiological states call for higher throughput and consistency afforded by automation. Such automation advances, when provided by multiuser facilities, could also improve the quality and efficiency of individual small-scale projects. The immunoprecipitation process has become rate-limiting, and is a source of substantial variability when performed manually. Here we report a fully automated robotic ChIP (R-ChIP) pipeline that allows up to 96 reactions. A second bottleneck is the dearth of renewable ChIP-validated immune reagents, which do not yet exist for most mammalian transcription factors. We used R-ChIP to screen new mouse monoclonal antibodies raised against p300, a histone acetylase, well-known as a marker of active enhancers, for which ChIP-competent monoclonal reagents have been lacking. We identified, validated for ChIP-seq, and made publicly available a monoclonal reagent called ENCITp300-1.

Indexed as

AnimalsAntibodies, MonoclonalAutomationChromatin ImmunoprecipitationE1A-Associated p300 ProteinHistone AcetyltransferasesHistonesMammalsMiceProtein Interaction MappingRoboticsSequence Analysis, DNATranscription FactorsAntibodies, MonoclonalE1A-Associated p300 ProteinHistone AcetyltransferasesHistonesTranscription Factors

Identifiers

PMID24919486
PMCPMC4053718
OpenAlexW2157535952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.