Evidence map›Paper›PMID 28215080›Full record

ArticleACS synthetic biology2017

A Scalable Epitope Tagging Approach for High Throughput ChIP-Seq Analysis.

Xiong Xiong, Yanxiao Zhang, Jian Yan, Surbhi Jain, Sora Chee, Bing Ren, Huimin Zhao

Open access · greenAbstract read
In one paragraph

Article in ACS synthetic biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  12. Engineering the Drosophila Genome for Developmental Biology.Journal of developmental biology · 2017
    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

7 authors at 4 institutions in 2 countries.

Xiong XiongDepartment of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Yanxiao ZhangLudwig Institute for Cancer Research , 9500 Gilman Drive, La Jolla, California 92093, United States.
Jian YanLudwig Institute for Cancer Research , 9500 Gilman Drive, La Jolla, California 92093, United States.
Surbhi JainDepartment of Biochemistry, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Sora CheeDepartment of Cellular and Molecular Medicine, Institute of Genome Medicine, Moores Cancer Center, University of California San Diego, School of Medicine , San Diego, California 92093, United States.
Bing RenLudwig Institute for Cancer Research , 9500 Gilman Drive, La Jolla, California 92093, United States.
Huimin ZhaoDepartment of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.ORCID 0000-0002-9069-6739
University of Illinois Urbana-Champaign · USUniversity of California San Diego · USKarolinska Institutet · SELudwig Cancer Research · US

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, IDEKER, TREY · 2010 to 2018
$23.3M
San Diego Center for 4D Nucleome ResearchU54DK107977 · NIDDK · LUDWIG INSTITUTE FOR CANCER RES LTD · PI MURRE, CORNELIS, REN, BING · 2015 to 2019
$9.4M
Mapping Technology DevelopmentU54DK107965 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BELMONT, ANDREW STEVEN · 2015 to 2019
$8.6M
NIDDK NIH HHS U54 DK107965NIDDK NIH HHS U54 DK107977NIGMS NIH HHS P50 GM085764
6 · The paper itself

Abstract

Eukaryotic transcriptional factors (TFs) typically recognize short genomic sequences alone or together with other proteins to modulate gene expression. Mapping of TF-DNA interactions in the genome is crucial for understanding the gene regulatory programs in cells. While chromatin immunoprecipitation followed by sequencing (ChIP-Seq) is commonly used for this purpose, its application is severely limited by the availability of suitable antibodies for TFs. To overcome this limitation, we developed an efficient and scalable strategy named cmChIP-Seq that combines the clustered regularly interspaced short palindromic repeats (CRISPR) technology with microhomology mediated end joining (MMEJ) to genetically engineer a TF with an epitope tag. We demonstrated the utility of this tool by applying it to four TFs in a human colorectal cancer cell line. The highly scalable procedure makes this strategy ideal for ChIP-Seq analysis of TFs in diverse species and cell types.

Indexed as

Cell Line, TumorChromatin ImmunoprecipitationCRISPR-Cas SystemsDNAEpitopesHCT116 CellsHigh-Throughput Nucleotide SequencingHumansTranscription FactorsDNAEpitopesTranscription FactorsChIP-SeqCRISPR/Cas9FLAG tagginggenome engineeringmicrohomology mediated end joining

Identifiers

PMID28215080
PMCPMC5536957
OpenAlexW2588444077

What OpenQuestion holds

Textmetadata
LicenceTDM
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.