Evidence map›Paper›PMID 30341220›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Specificity landscapes unmask submaximal binding site preferences of transcription factors.

Devesh Bhimsaria, José A Rodríguez-Martínez, Junkun Pan, Daniel Roston, Elif Nihal Korkmaz, Qiang Cui, Parameswaran Ramanathan, Aseem Z Ansari

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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  10. Fusion proteins form onco-condensates.Nature structural & molecular biology · 2021
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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

8 authors at 1 institution in 1 country.

Devesh BhimsariaDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706.ORCID 0000-0001-8413-3801
José A Rodríguez-MartínezDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706.
Junkun PanDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706.
Daniel RostonDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706.
Elif Nihal KorkmazDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706.
Qiang CuiDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706.ORCID 0000-0001-6214-5211
Parameswaran RamanathanDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706.
Aseem Z AnsariDepartment of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706; azansari@wisc.edu.ORCID 0000-0003-1432-4498
University of Wisconsin–Madison · US

Funding

Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
Revealing Masked Specificities of Human Nuclear ReceptorsR01GM120625 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI ANSARI, ASEEM Z · 2016 to 2019
$1.7M
NHGRI NIH HHS T32 HG002760NIGMS NIH HHS R01 GM120625
6 · The paper itself

Abstract

We have developed Differential Specificity and Energy Landscape (DiSEL) analysis to comprehensively compare DNA-protein interactomes (DPIs) obtained by high-throughput experimental platforms and cutting edge computational methods. While high-affinity DNA binding sites are identified by most methods, DiSEL uncovered nuanced sequence preferences displayed by homologous transcription factors. Pairwise analysis of 726 DPIs uncovered homolog-specific differences at moderate- to low-affinity binding sites (submaximal sites). DiSEL analysis of variants of 41 transcription factors revealed that many disease-causing mutations result in allele-specific changes in binding site preferences. We focused on a set of highly homologous factors that have different biological roles but "read" DNA using identical amino acid side chains. Rather than direct readout, our results indicate that DNA noncontacting side chains allosterically contribute to sculpt distinct sequence preferences among closely related members of transcription factor families.

Indexed as

Binding SitesDNASELEX Aptamer TechniqueThermodynamicsTranscription FactorsDNATranscription Factorsallosterycognate site identificationDifferential Specificity and Energy LandscapesDNA–protein interactomeDNA sequence recognition

Identifiers

PMID30341220
PMCPMC6233140
OpenAlexW2897329580

What OpenQuestion holds

Textmetadata
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.