Evidence map›Paper›PMID 42239419›Full record

ArticlebioRxiv : the preprint server for biology2026

Molecular mechanism of a single stranded DNA-stimulated bacterial immune peptidase.

Adarsh Calloji, Lydia R Chambers, Kevin D Corbett

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Adarsh CallojiDepartment of Molecular Biology, University of California San Diego, La Jolla CA 92093 USA.
Lydia R ChambersDepartment of Biochemistry and Molecular Biophysics, University of California San Diego, La Jolla CA 92093 USA.
Kevin D CorbettDepartment of Molecular Biology, University of California San Diego, La Jolla CA 92093 USA.ORCID 0000-0001-5854-2388

Funding

Molecular Biophysics Training Grant at UC San DiegoT32GM139795 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Galia Debelouchina, ELIZABETH A. KOMIVES · 2021 to 2026
$3.0M
Molecular mechanisms of nucleic acid recognition and maintenance in meiosis and innate immunityR35GM144121 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Kevin Daniel Corbett · 2022 to 2026
$2.7M
Mechanisms of gene regulation in bacterial defense islandsF31AI194603 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Lydia Rose Chambers · 2025 to 2026
$93k
NIAID NIH HHS F31 AI194603NIGMS NIH HHS R35 GM144121NIGMS NIH HHS T32 GM139795
6 · The paper itself

Abstract

Bacteria encode hundreds of immune pathways that protect host cells against infection by bacteriophages. While immune pathways possess exquisite mechanisms for self-regulation to avoid aberrant activation, many are also tightly regulated at the level of transcription. Many immune operons are regulated by CapP+CapH, a two-protein transcriptional regulator system that triggers immune operon expression in response to DNA damage, by sensing the presence of single-stranded DNA byproducts of DNA damage repair. Here we define how the CapP peptidase is activated by single-stranded DNA. DNA binding in a conserved inter-domain groove in CapP triggers rearrangement of the autoregulatory "cysteine switch loop", opening the active site and allowing binding and cleavage of CapH, which in turn leads to transcriptional activation of an associated immune operon. Our data define a conserved molecular mechanism for sensing bacteriophage infection via DNA damage, and for triggering increased expression of immune operons in response.

Identifiers

PMID42239419
PMCPMC13228613

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.