Evidence map›Paper›PMID 25843630›Full record

ArticleCell2015

Deconvolving the recognition of DNA shape from sequence.

Namiko Abe, Iris Dror, Lin Yang, Matthew Slattery, Tianyin Zhou, Harmen J Bussemaker, Remo Rohs, Richard S Mann

Abstract read
In one paragraph

Article in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.

0numbers the graph read from it
0cells of the map it votes in
127citing 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

127 citing papers in PubMed.

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67 more citing papers are in PubMed but not listed here.

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.

Namiko AbeDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA; Department of Systems Biology, Columbia University, New York, NY 10032, USA.
Iris DrorMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA; Department of Biology, Technion - Israel Institute of Technology, Haifa 32000, Israel.
Lin YangMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.
Matthew SlatteryDepartment of Biomedical Sciences, University of Minnesota Medical School, Duluth, MN 55812, USA.
Tianyin ZhouMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.
Harmen J BussemakerDepartment of Biological Sciences, Columbia University, New York, NY 10032, USA.
Remo RohsMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA; Department of Chemistry, University of Southern California, Los Angeles, CA 90089, USA; Department of Physics and Astronomy, University of Southern California, Los Angeles, CA 90089, USA; Department of Computer Science, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: rohs@usc.edu.
Richard S MannDepartment of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA; Department of Systems Biology, Columbia University, New York, NY 10032, USA. Electronic address: rsm10@columbia.edu.

Funding

Inferring regulatory circuitry from microarray dataR01HG003008 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI BUSSEMAKER, HARMEN J · 2004 to 2020
$7.0M
Interpreting and Deploying Genomic Information During Animal DevelopmentR35GM118336 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RICHARD S MANN · 2016 to 2026
$6.9M
Proximo-distal Patterning inthe Drosophila appendegesR01GM058575 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MANN, RICHARD S · 1999 to 2016
$5.7M
MOLECULAR GENETICS OF SEGMENT IDENTITYR01GM054510 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MANN, RICHARD S · 1996 to 2015
$5.5M
Multi-scale modeling of genetic variation in a developmental networkU01GM103804 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEPACE, ANGELA H, MARJORAM, PAUL · 2013 to 2016
$2.0M
Genome analysis based on the integration of DNA sequence and shapeR01GM106056 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROHS, REMO · 2014 to 2017
$1.3M
Characterization of Hox transcription factor complexes using proteomicsF32GM099160 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABE, NAMIKO · 2011 to 2013
$155k
NHGRI NIH HHS R01 HG003008NHGRI NIH HHS R01HG003008NIGMS NIH HHS F32 GM099160NIGMS NIH HHS F32GM099160NIGMS NIH HHS R01 GM054510NIGMS NIH HHS R01 GM058575NIGMS NIH HHS R01GM058575NIGMS NIH HHS R01 GM106056NIGMS NIH HHS R01GM106056NIGMS NIH HHS R35 GM118336NIGMS NIH HHS U01 GM103804NIGMS NIH HHS U01GM103804
6 · The paper itself

Abstract

Protein-DNA binding is mediated by the recognition of the chemical signatures of the DNA bases and the 3D shape of the DNA molecule. Because DNA shape is a consequence of sequence, it is difficult to dissociate these modes of recognition. Here, we tease them apart in the context of Hox-DNA binding by mutating residues that, in a co-crystal structure, only recognize DNA shape. Complexes made with these mutants lose the preference to bind sequences with specific DNA shape features. Introducing shape-recognizing residues from one Hox protein to another swapped binding specificities in vitro and gene regulation in vivo. Statistical machine learning revealed that the accuracy of binding specificity predictions improves by adding shape features to a model that only depends on sequence, and feature selection identified shape features important for recognition. Thus, shape readout is a direct and independent component of binding site selection by Hox proteins.

Indexed as

Amino Acid SequenceAnimalsCrystallography, X-RayDNADrosophila melanogasterDrosophila ProteinsHomeodomain ProteinsMolecular Sequence DataNucleic Acid ConformationProtein BindingSequence AlignmentTranscription FactorsDNADrosophila Proteinsexd protein, DrosophilaHomeodomain ProteinsScr protein, DrosophilaTranscription Factors

Identifiers

PMID25843630
PMCPMC4422406

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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.