Cited by 369Genomics and Chromatin DynamicsChromatin Remodeling and CancerGene Regulatory Network Analysis

A High-Throughput Chromatin Immunoprecipitation Approach Reveals Principles of Dynamic Gene Regulation in Mammals

Open access
Garber, Manuel, Yosef, Nir, Goren, Alon, Raychowdhury, Raktima, Thielke, Anne, Guttman, Mitchell, Robinson, James, Minie, Brian +19 more·2012·Molecular Cell

Abstract

Understanding the principles governing mammalian gene regulation has been hampered by the difficulty in measuring in vivo binding dynamics of large numbers of transcription factors (TF) to DNA. Here, we develop a high-throughput Chromatin ImmunoPrecipitation (HT-ChIP) method to systematically map protein-DNA interactions. HT-ChIP was applied to define the dynamics of DNA binding by 25 TFs and 4 chromatin marks at 4 time-points following pathogen stimulus of dendritic cells. Analyzing over 180,000 TF-DNA interactions we find that TFs vary substantially in their temporal binding landscapes. This data suggests a model for transcription regulation whereby TF networks are hierarchically organized into cell differentiation factors, factors that bind targets prior to stimulus to prime them for induction, and factors that regulate specific gene programs. Overlaying HT-ChIP data on gene-expression dynamics shows that many TF-DNA interactions are established prior to the stimuli, predominantly at immediate-early genes, and identified specific TF ensembles that coordinately regulate gene-induction.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.molcel.2012.07.030

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Mouse bone marrow-derived dendritic cells are mostly post-mitotic, and LPS synchronizes them and triggers broad regulatory changes.

    “DCs are mostly post-mitotic, and LPS synchronizes them (27) and causes dramatic regulatory changes from the expression of thousands of transcripts (22, 24, 25) to protein phosphorylation (26).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 49 · Cited by 369

Authors
Garber, M., Yosef, N., Goren, A., Raychowdhury, R., Thielke, A., Guttman, M., Robinson, J., Minie, B., Chevrier, N., Itzhaki, Z., Blecher-Gonen, R., Bornstein, C., Amann-Zalcenstein, D., Weiner, A., Friedrich, D., Meldrim, J., Ram, O., Cheng, C., Gnirke, A., Fisher, S., Friedman, N., Wong, B., Bernstein, B. E., Nusbaum, C., Hacohen, N., Regev, A., & Amit, I.
Affiliations
  • Broad Institute (US)
  • Weizmann Institute of Science (IL)
  • Hebrew University of Jerusalem (IL)
Corresponding author
  • Garber, Manuel
  • Amit, Ido
Venue
Molecular Cell
Publisher
Elsevier BV
Published
2012-09
Volume
47
Issue
5
Pages
810-822
ISSN
1097-2765 (ISSN-L)
OpenAlex
W2107922733
Cited by
369
References
49
Citations by year
2026: 6 · 2025: 10 · 2024: 9 · 2023: 14 · 2022: 9 · 2021: 16 · 2020: 23 · 2019: 21 · 2018: 34 · 2017: 39 · 2016: 49 · 2015: 44 · 2014: 54 · 2013: 36 · 2012: 4
FWCI
17.72
Type
journal article
Language
en
Open access
Locations
  • Molecular Cell (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • CaltechAUTHORS (California Institute of Technology) (submittedVersion)
  • The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
  • Elsevier eBooks
Funders
  • Wellcome Trust
  • National Institutes of Health (1dp2od002230-01)
  • National Human Genome Research Institute (P50HG006193)
  • National Cancer Institute (F32CA168253)
  • National Institute of Allergy and Infectious Diseases (U54AI057159)
  • National Center for Research Resources (S10RR026688)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords
protein-DNA interactions, transcriptional regulation, dendritic cells, chromatin marks, immediate early genes, gene induction, transcriptional regulatory networks, gene expression dynamics
MeSH terms
Animals, Dendritic Cells, DNA, Gene Expression Regulation, Transcription Factors, Chromatin Immunoprecipitation, Mice, High-Throughput Screening Assays

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review