Evidence map›Paper›PMID 30819105›Full record

ArticleBMC genomics2019

2C-ChIP: measuring chromatin immunoprecipitation signal from defined genomic regions with deep sequencing.

Xue Qing David Wang, Christopher J F Cameron, Denis Paquette, Dana Segal, Reid Warsaba, Mathieu Blanchette, Josée Dostie

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC genomics, 2019. 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
0.3field-weighted citation impact, top 45% 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, 4 citations in OpenAlex.

  1. A conservedRNA biology · 2023
    Article
  2. Article
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

7 authors at 1 institution in 1 country.

Xue Qing David WangDepartment of Biochemistry and Rosalind & Morris Goodman Cancer Research Center, McGill University, Montréal, Québec, H3G 1Y6, Canada.
Christopher J F CameronDepartment of Biochemistry and Rosalind & Morris Goodman Cancer Research Center, McGill University, Montréal, Québec, H3G 1Y6, Canada.
Denis PaquetteDepartment of Biochemistry and Rosalind & Morris Goodman Cancer Research Center, McGill University, Montréal, Québec, H3G 1Y6, Canada.
Dana SegalDepartment of Biochemistry and Rosalind & Morris Goodman Cancer Research Center, McGill University, Montréal, Québec, H3G 1Y6, Canada.
Reid WarsabaDepartment of Biochemistry and Rosalind & Morris Goodman Cancer Research Center, McGill University, Montréal, Québec, H3G 1Y6, Canada.
Mathieu BlanchetteSchool of Computer Science and McGill Center for Bioinformatics, McGill University, Montréal, Québec, H3A 0E9, Canada.
Josée DostieDepartment of Biochemistry and Rosalind & Morris Goodman Cancer Research Center, McGill University, Montréal, Québec, H3G 1Y6, Canada. josee.dostie@mcgill.ca.ORCID http://orcid.org/0000-0002-1380-0467
McGill University · CA

Funding

Canadian Institutes of Health Research 142451
6 · The paper itself

Abstract

backgroundUnderstanding how transcription occurs requires the integration of genome-wide and locus-specific information gleaned from robust technologies. Chromatin immunoprecipitation (ChIP) is a staple in gene expression studies, and while genome-wide methods are available, high-throughput approaches to analyze defined regions are lacking.

resultsHere, we present carbon copy-ChIP (2C-ChIP), a versatile, inexpensive, and high-throughput technique to quantitatively measure the abundance of DNA sequences in ChIP samples. This method combines ChIP with ligation-mediated amplification (LMA) and deep sequencing to probe large genomic regions of interest. 2C-ChIP recapitulates results from benchmark ChIP approaches. We applied 2C-ChIP to the HOXA cluster to find that a region where H3K27me3 and SUZ12 linger encodes HOXA-AS2, a long non-coding RNA that enhances gene expression during cellular differentiation.

conclusions2C-ChIP fills the need for a robust molecular biology tool designed to probe dedicated genomic regions in a high-throughput setting. The flexible nature of the 2C-ChIP approach allows rapid changes in experimental design at relatively low cost, making it a highly efficient method for chromatin analysis.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, DNACell DifferentiationCells, CulturedChromatin ImmunoprecipitationEpigenesis, GeneticGene ExpressionGenes, HomeoboxGenomicsHumansReal-Time Polymerase Chain ReactionRNA, Long Noncodinglong noncoding RNA HOXA-AS2, humanRNA, Long Noncoding5CChromatin immunoprecipitationDifferentiationEpigeneticsHOXLigation-mediated amplificationLong non-coding RNANext-generation sequencingsubTADTranscription

Identifiers

PMID30819105
PMCPMC6394006
OpenAlexW2920717949

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.