Evidence map›Paper›PMID 37945601›Full record

ArticleNature communications2023

Structures of the DarR transcription regulator reveal unique modes of second messenger and DNA binding.

Maria A Schumacher, Nicholas Lent, Vincent B Chen, Raul Salinas

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. 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
2.1field-weighted citation impact, top 11% 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, 10 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

4 authors at 1 institution in 1 country.

Maria A SchumacherDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, 27710, USA. Maria.schumacher@duke.edu.ORCID 0000-0002-5264-1120
Nicholas LentDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, 27710, USA.
Vincent B ChenDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, 27710, USA.ORCID 0000-0003-2492-979X
Raul SalinasDepartment of Biochemistry, Duke University School of Medicine, Durham, NC, 27710, USA.
Duke University · US

Funding

User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Gregory L Hura · 2017 to 2026
$28.6M
Deciphering fundamental biological processes involving protein-nucleic acid interactions at the molecular levelR35GM130290 · NIGMS · DUKE UNIVERSITY · PI Maria Schumacher · 2019 to 2026
$4.9M
NIGMS NIH HHS P30 GM124169NIGMS NIH HHS R35 GM130290
6 · The paper itself

Abstract

The mycobacterial repressor, DarR, a TetR family regulator (TFR), was the first transcription regulator shown to bind c-di-AMP. However, the molecular basis for this interaction and the mechanism involved in DNA binding by DarR remain unknown. Here we describe DarR-c-di-AMP and DarR-DNA structures and complementary biochemical assays. The DarR-c-di-AMP structure reveals a unique effector binding site for a TFR, located between DarR dimer subunits. Strikingly, we show this motif also binds cAMP. The location of the adenine nucleotide binding site between subunits suggests this interaction may facilitate dimerization and hence DNA binding. Indeed, biochemical assays show cAMP enhances DarR DNA binding. Finally, DarR-DNA structures reveal a distinct TFR DNA-binding mechanism involving two interacting dimers on the DNA. Thus, the combined data unveil a newly described second messenger binding motif and DNA binding mode for this important family of regulators.

Indexed as

DNASecond Messenger SystemsBacterial ProteinsBinding SitesCrystallography, X-RayProtein BindingBacterial ProteinsDNA

Identifiers

PMID37945601
PMCPMC10636190
OpenAlexW4388526549

What OpenQuestion holds

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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.