Evidence map›Paper›PMID 32747934›Full record

ArticleNucleic acids research2020

Alignment and quantification of ChIP-exo crosslinking patterns reveal the spatial organization of protein-DNA complexes.

Naomi Yamada, Matthew J Rossi, Nina Farrell, B Franklin Pugh, Shaun Mahony

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Naomi YamadaCenter for Eukaryotic Gene Regulation, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Matthew J RossiCenter for Eukaryotic Gene Regulation, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Nina FarrellCenter for Eukaryotic Gene Regulation, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
B Franklin PughCenter for Eukaryotic Gene Regulation, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Shaun MahonyCenter for Eukaryotic Gene Regulation, Department of Biochemistry & Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA.
Pennsylvania State University · US

Funding

Genome-wide structural organization of proteins within human gene regulatory complexesR01GM125722 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI MAHONY, SHAUN AENGUS, PUGH, B FRANKLIN · 2018 to 2021
$1.5M
NIGMS NIH HHS R01 GM125722
6 · The paper itself

Abstract

The ChIP-exo assay precisely delineates protein-DNA crosslinking patterns by combining chromatin immunoprecipitation with 5' to 3' exonuclease digestion. Within a regulatory complex, the physical distance of a regulatory protein to DNA affects crosslinking efficiencies. Therefore, the spatial organization of a protein-DNA complex could potentially be inferred by analyzing how crosslinking signatures vary between its subunits. Here, we present a computational framework that aligns ChIP-exo crosslinking patterns from multiple proteins across a set of coordinately bound regulatory regions, and which detects and quantifies protein-DNA crosslinking events within the aligned profiles. By producing consistent measurements of protein-DNA crosslinking strengths across multiple proteins, our approach enables characterization of relative spatial organization within a regulatory complex. Applying our approach to collections of ChIP-exo data, we demonstrate that it can recover aspects of regulatory complex spatial organization at yeast ribosomal protein genes and yeast tRNA genes. We also demonstrate the ability to quantify changes in protein-DNA complex organization across conditions by applying our approach to analyze Drosophila Pol II transcriptional components. Our results suggest that principled analyses of ChIP-exo crosslinking patterns enable inference of spatial organization within protein-DNA complexes.

Indexed as

AlgorithmsAnimalsBinding SitesChromatin ImmunoprecipitationComputer SimulationDatabases, GeneticDNA-Binding ProteinsDrosophilaExonucleasesPromoter Regions, GeneticProtein BindingRibosomal ProteinsRNA Polymerase IIRNA Polymerase IIIRNA, TransferSaccharomyces cerevisiaeDNA-Binding ProteinsExonucleasesRibosomal ProteinsRNA Polymerase IIRNA Polymerase IIIRNA, TransferSaccharomyces cerevisiae ProteinsTFC1 protein, S cerevisiaeTranscription FactorsTranscription Factors, TFIIITranscription Factor TFIIIBTranscription Factor TFIIIC

Identifiers

PMID32747934
PMCPMC7672471
OpenAlexW3047093877

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.