Evidence map›Paper›PMID 39587360›Full record

ArticleNature genetics2024

ChIP-DIP maps binding of hundreds of proteins to DNA simultaneously and identifies diverse gene regulatory elements.

Andrew A Perez, Isabel N Goronzy, Mario R Blanco, Benjamin T Yeh, Jimmy K Guo, Carolina S Lopes, Olivia Ettlin, Alex Burr, Mitchell Guttman

Abstract read
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Genome-wide chromatin recording resolves dynamic cell state changes.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Andrew A Perez *Division of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.
Isabel N Goronzy *Division of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.
Mario R BlancoDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.
Benjamin T YehDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-9397-6392
Jimmy K GuoDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.
Carolina S LopesProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA, USA.
Olivia EttlinDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-9243-9752
Alex BurrDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0003-2741-9592
Mitchell GuttmanDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA. mguttman@caltech.edu.ORCID http://orcid.org/0000-0003-4748-9352

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Dynamics of chromosome organization and chromatin states in single cellsU01DK127420 · NIDDK · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAI, LONG, ELOWITZ, MICHAEL B · 2020 to 2024
$5.7M
How phase-separation in the nucleus organizes 3D spatial assembly and gene regulationR01DA053178 · NIDA · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GUTTMAN, MITCHELL · 2020 to 2024
$5.4M
Extensive multiplexing of protein nucleic-acid interactions to comprehensively study gene expression regulation from chromatin to mRNA degradationR01HG012216 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GUTTMAN, MITCHELL, JOVANOVIC, MARKO · 2022 to 2025
$3.1M
Characterizing the RNA-mediated recruitment of histone deacetylases to chromatinF30CA278005 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GUO, JAMES KANG · 2023 to 2025
$161k
NCI NIH HHS F30 CA278005NHGRI NIH HHS R01 HG012216NIDA NIH HHS R01 DA053178NIDDK NIH HHS U01 DK127420NIGMS NIH HHS T32 GM008042U.S. Department of Health & Human Services | NIH | Center for Information Technology (Center for Information Technology, National Institutes of Health) T32GM008042U.S. Department of Health & Human Services | NIH | NCI | Division of Cancer Epidemiology and Genetics, National Cancer Institute (National Cancer Institute Division of Cancer Epidemiology and Genetics) NCI F30CA278005
6 · The paper itself

Abstract

Gene expression is controlled by dynamic localization of thousands of regulatory proteins to precise genomic regions. Understanding this cell type-specific process has been a longstanding goal yet remains challenging because DNA-protein mapping methods generally study one protein at a time. Here, to address this, we developed chromatin immunoprecipitation done in parallel (ChIP-DIP) to generate genome-wide maps of hundreds of diverse regulatory proteins in a single experiment. ChIP-DIP produces highly accurate maps within large pools (>160 proteins) for all classes of DNA-associated proteins, including modified histones, chromatin regulators and transcription factors and across multiple conditions simultaneously. First, we used ChIP-DIP to measure temporal chromatin dynamics in primary dendritic cells following LPS stimulation. Next, we explored quantitative combinations of histone modifications that define distinct classes of regulatory elements and characterized their functional activity in human and mouse cell lines. Overall, ChIP-DIP generates context-specific protein localization maps at consortium scale within any molecular biology laboratory and experimental system.

Indexed as

ChromatinChromatin ImmunoprecipitationDNAAnimalsBinding SitesCell LineDendritic CellsDNA-Binding ProteinsGene Expression RegulationHistonesHumansMiceProtein BindingRegulatory Sequences, Nucleic AcidTranscription FactorsChromatinDNADNA-Binding ProteinsHistonesTranscription Factors

Identifiers

PMID39587360
PMCPMC12136341

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Registered trials

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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.