Evidence map›Paper›PMID 41639456›Full record

ArticleNature2026

Bacterial immune activation via supramolecular assembly with phage triggers.

Tong Zhang, Yifei Lyu, Christina R Beck, Naseer Iqbal, Renee Barbosa, Alireza Ghanbarpour, Michael T Laub

Abstract read
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. How bacterial immune systems sense phage infection.Nature reviews. Microbiology · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. TIR-like NADases act in bacterial immunity and the RNA vault.bioRxiv : the preprint server for biology · 2026
    Article
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

7 authors.

Tong ZhangDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-4745-8580
Yifei LyuDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0009-0007-4778-2766
Christina R BeckDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Naseer IqbalDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA.
Renee BarbosaDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-0126-9610
Alireza GhanbarpourDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA. alirezag@wustl.edu.ORCID 0000-0002-7485-029X
Michael T LaubDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA. laub@mit.edu.ORCID 0000-0002-8288-7607

Funding

Decoding Mitochondrial AAA Protease SpecificityR35GM160328 · NIGMS · WASHINGTON UNIVERSITY · PI Alireza Ghanbarpour · 2025 to 2026
$808k
Department of Biochemistry and Molecular Biophysics at Washington University School of MedicineMIT BioMicro Center and its staff for their support in sequencing; the MIT Biophysical Instrumentation Facility and its staff for help with mass photometry experiments; A. Mohamed and the Vos laboratory for help with the analytical size-exclusion chromatography; and all members of the Ghanbarpour and Laub laboratory for discussionsNIGMS NIH HHS R35 GM160328
6 · The paper itself

Abstract

Bacteria use diverse mechanisms to protect themselves against phages

Indexed as

BacteriophagesRibonucleasesBacterial ProteinsImmunity, InnateModels, MolecularProtein MultimerizationViral ProteinsBacterial ProteinsRibonucleasesViral Proteins

Identifiers

PMID41639456
PMCPMC13017515

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.