Evidence map›Paper›PMID 31561554›Full record

ArticleBiomolecules2019

MS-Based Approaches Enable the Structural Characterization of Transcription Factor/DNA Response Element Complex.

Lukáš Slavata, Josef Chmelík, Daniel Kavan, Růžena Filandrová, Jan Fiala, Michal Rosůlek, Hynek Mrázek, Zdeněk Kukačka, Karel Vališ, Petr Man and 4 more

Abstract read
In one paragraph

Article in Biomolecules, 2019. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Mechanistic insights into the role of FOXO in diabetic retinopathy.American journal of translational research · 2022
    Review
  3. Review
  4. Application ofInternational journal of molecular sciences · 2020
    Article
  5. Targeting ERK-Hippo Interplay in Cancer Therapy.International journal of molecular sciences · 2020
    Review
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

14 authors.

Lukáš SlavataInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. lukas.slavata@gmail.com.
Josef ChmelíkInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. chmelik@biomed.cas.cz.
Daniel KavanInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. kuan@maradan.org.
Růžena FilandrováInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. ruzena.liskova@gmail.com.
Jan FialaInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. FiJi.cs@seznam.cz.
Michal RosůlekInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. rosulek.michal@gmail.com.
Hynek MrázekInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. hynek.mrazek@gmail.com.
Zdeněk KukačkaInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. zdenek.kukacka@biomed.cas.cz.
Karel VališInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. karel.valis@biomed.cas.cz.
Petr ManInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. pman@biomed.cas.cz.
Michael MillerRNA Institute, University at Albany, State University of New York, Albany, NY 12222, USA. mrmiller@albany.edu.
William McIntyreRNA Institute, University at Albany, State University of New York, Albany, NY 12222, USA. wdmcintyre@albany.edu.
Daniele FabrisRNA Institute, University at Albany, State University of New York, Albany, NY 12222, USA. dfabris@albany.edu.
Petr NovákInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic. pnovak@biomed.cas.cz.

Funding

Characterization of ncRNAs' post-transcriptional modifications by antisense affinity capture and MS analysisR01GM121844 · NIGMS · UNIVERSITY OF CONNECTICUT STORRS · PI FABRIS, DANIELE · 2017 to 2021
$1.6M
NIGMS NIH HHS R01 GM121844
6 · The paper itself

Abstract

The limited information available on the structure of complexes involving transcription factors and cognate DNA response elements represents a major obstacle in the quest to understand their mechanism of action at the molecular level. We implemented a concerted structural proteomics approach, which combined hydrogen-deuterium exchange (HDX), quantitative protein-protein and protein-nucleic acid cross-linking (XL), and homology analysis, to model the structure of the complex between the full-length DNA binding domain (DBD) of Forkhead box protein O4 (FOXO4) and its DNA binding element (DBE). The results confirmed that FOXO4-DBD assumes the characteristic forkhead topology shared by these types of transcription factors, but its binding mode differs significantly from those of other members of the family. The results showed that the binding interaction stabilized regions that were rather flexible and disordered in the unbound form. Surprisingly, the conformational effects were not limited only to the interface between bound components, but extended also to distal regions that may be essential to recruiting additional factors to the transcription machinery. In addition to providing valuable new insights into the binding mechanism, this project provided an excellent evaluation of the merits of structural proteomics approaches in the investigation of systems that are not directly amenable to traditional high-resolution techniques.

Indexed as

Deuterium Exchange MeasurementDNADNA-Binding ProteinsMass SpectrometryMolecular StructureResponse ElementsTranscription FactorsDNADNA-Binding ProteinsTranscription Factorscross-linkingDNAFOXO4molecular modelingproteinprotein-nucleic acid cross-linkingtranscription factortrans-dichlorodiamineplatinum(II), hydrogen-deuterium exchangetransplatin

Identifiers

PMID31561554
PMCPMC6843354

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.