Evidence map›Paper›PMID 26673724›Full record

ArticleNucleic acids research2016

A human transcription factor in search mode.

Kevin Hauser, Bernard Essuman, Yiqing He, Evangelos Coutsias, Miguel Garcia-Diaz, Carlos Simmerling

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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  9. Multiscale effects of heating and cooling on genes and gene networks.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
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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

6 authors at 3 institutions in 1 country.

Kevin HauserLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA Department of Chemistry, Stony Brook University, Stony Brook, NY 11794, USA.
Bernard EssumanSuffolk Community College, Selden, NY 11784, USA.
Yiqing HeGreat Neck South High School, Great Neck, NY 11023, USA.
Evangelos CoutsiasLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA.
Miguel Garcia-DiazDepartment of Pharmacological Sciences, Stony Brook University, Stony Brook, NY 11794, USA.
Carlos SimmerlingLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA Department of Chemistry, Stony Brook University, Stony Brook, NY 11794, USA carlos.simmerling@stonybrook.edu.
Stony Brook University · USJohn L. Miller Great Neck North High School · USSuffolk County Community College · US

Funding

PARTNERSHIP FOR EXCELLENCE IN BIOMEDICAL SCIENCER25GM050070 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI DEAL, DENISE, GADURA, NIDHI · 1993 to 2023
$4.9M
New Solvent Models, Sampling Methods and Maintenance of Amber SoftwareR01GM107104 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI SIMMERLING, CARLOS · 2013 to 2020
$2.4M
SBU Chemistry-Biology Interface Training ProgramT32GM092714 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI SAMPSON, NICOLE S, TONGE, PETER J · 2010 to 2019
$1.7M
Mechanisms of mitochondrial transcriptionR01GM100021 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI GARCIA-DIAZ, MIGUEL · 2012 to 2016
$1.5M
New Mathematical Methods for Protein Loop ModelingR01GM090205 · NIGMS · UNIVERSITY OF NEW MEXICO · PI COUTSIAS, EVANGELOS A. · 2009 to 2012
$1.3M
Modeling the mechanism of MTERF1-DNA binding and recognitionF31GM101946 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI HAUSER, KEVIN EDUARD · 2012 to 2015
$170k
NIGMS NIH HHS F31 GM101946NIGMS NIH HHS F31-GM101946NIGMS NIH HHS R01 GM090205NIGMS NIH HHS R01-GM090205NIGMS NIH HHS R01 GM100021NIGMS NIH HHS R01-GM100021NIGMS NIH HHS R01 GM107104NIGMS NIH HHS R25-GM050070NIGMS NIH HHS T32 GM092714NIGMS NIH HHS T32-GM092714
6 · The paper itself

Abstract

Transcription factors (TF) can change shape to bind and recognize DNA, shifting the energy landscape from a weak binding, rapid search mode to a higher affinity recognition mode. However, the mechanism(s) driving this conformational change remains unresolved and in most cases high-resolution structures of the non-specific complexes are unavailable. Here, we investigate the conformational switch of the human mitochondrial transcription termination factor MTERF1, which has a modular, superhelical topology complementary to DNA. Our goal was to characterize the details of the non-specific search mode to complement the crystal structure of the specific binding complex, providing a basis for understanding the recognition mechanism. In the specific complex, MTERF1 binds a significantly distorted and unwound DNA structure, exhibiting a protein conformation incompatible with binding to B-form DNA. In contrast, our simulations of apo MTERF1 revealed significant flexibility, sampling structures with superhelical pitch and radius complementary to the major groove of B-DNA. Docking these structures to B-DNA followed by unrestrained MD simulations led to a stable complex in which MTERF1 was observed to undergo spontaneous diffusion on the DNA. Overall, the data support an MTERF1-DNA binding and recognition mechanism driven by intrinsic dynamics of the MTERF1 superhelical topology.

Indexed as

Basic-Leucine Zipper Transcription FactorsDNADNA, B-FormHumansMitochondrial ProteinsModels, MolecularProtein BindingProtein ConformationTranscription FactorsBasic-Leucine Zipper Transcription FactorsDNADNA, B-FormMitochondrial ProteinsMTERF1 protein, humanTranscription Factors

Identifiers

PMID26673724
PMCPMC4705650
OpenAlexW2222663910

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.