Evidence map›Paper›PMID 39185161›Full record

ArticlebioRxiv : the preprint server for biology2024

Examining NF-κB genomic interactions by ChIP-seq and CUT&Tag.

Allison E Daly, Allison Schiffman, Alexander Hoffmann, Stephen T Smale

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Allison E DalyDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095, USA.
Allison SchiffmanDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095, USA.
Alexander HoffmannDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095, USA.
Stephen T SmaleDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-9835-6907

Funding

MULTIDISCIPLINARY TRAINING IN MICROBIAL PATHOGENESIST32AI007323 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Peter John Bradley · 1988 to 2026
$8.6M
Vitamin D Metabolism in LeprosyP50AR063020 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PELLEGRINI, MATTEO · 2012 to 2016
$7.8M
Selective Regulation of Pro-Inflammatory Genes in MacrophagesR01GM086372 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SMALE, STEPHEN T · 2008 to 2015
$2.5M
Selective gene activation by the NF-kappaB family of transcription factorsR01AI073868 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SMALE, STEPHEN T · 2007 to 2011
$1.8M
Pro-inflammatory gene regulation in a native chromatin environmentR01CA127279 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SMALE, STEPHEN T · 2008 to 2011
$1.2M
Mechanistically defining the role for each NFkB family member in pro-inflammatory macrophage activationF31AI157267 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DALY, ALLISON E · 2021 to 2022
$78k
NCI NIH HHS R01 CA127279NIAID NIH HHS F31 AI157267NIAID NIH HHS R01 AI073868NIAID NIH HHS T32 AI007323NIAMS NIH HHS P50 AR063020NIGMS NIH HHS R01 GM086372
6 · The paper itself

Abstract

An understanding of the mechanisms and logic by which transcription factors coordinate gene regulation requires delineation of their genomic interactions at a genome-wide scale. Chromatin immunoprecipitation-sequencing (ChIP-seq) and more recent techniques, including CUT&Tag, typically reveal thousands of genomic interactions by transcription factors, but without insight into their functional roles. Due to cost and time considerations, optimization of ChIP experimental conditions is typically carried out only with representative interaction sites rather than through genome-wide analyses. Here, we describe insights gained from the titration of two chemical crosslinking reagents in genome-wide ChIP-seq experiments examining two members of the NF-κB family of transcription factors: RelA and c-Rel. We also describe a comparison of ChIP-seq and CUT&Tag. Our results highlight the large impact of ChIP-seq experimental conditions on the number of interactions detected, on the enrichment of consensus and non-consensus DNA motifs for the factor, and on the frequency with which the genomic interactions detected are located near potential target genes. We also found considerable consistency between ChIP-seq and CUT&Tag results, but with a substantial fraction of genomic interactions detected with only one of the two techniques. Together, the results demonstrate the dramatic impact of experimental conditions on the results obtained in a genome-wide analysis of transcription factor binding, highlighting the need for further scrutiny of the functional significance of these condition-dependent differences.

Indexed as

ChIP-seqCUT&TagInflammationMacrophagesNF-κB

Identifiers

PMID39185161
PMCPMC11343132

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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.