Evidence map›Paper›PMID 42827173›Full record

ReviewNature reviews. Microbiology2026

How bacterial immune systems sense phage infection.

Daniel S Saxton, Michael T Laub

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 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

2 authors.

Daniel S SaxtonDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
Michael T LaubDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA. laub@mit.edu.ORCID http://orcid.org/0000-0002-8288-7607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria have evolved diverse anti-phage defence systems to counter the constant threat of viral infection. Like all immune systems, these defences must accurately detect infection while avoiding inappropriate activation that could harm the uninfected host. Recent years have witnessed a rapid expansion in the discovery of bacterial immune mechanisms, yet fundamental questions remain about how these systems recognize phage invasion. What molecules or events are reliable indicators of infection? How do the sensory mechanisms underlying immunity ensure rapid and robust activation? And what evolutionary trade-offs do phages face when mutating to evade detection? In this Review, we examine the experimental approaches used to identify phage-based triggers and organize known triggers into three classes: phage nucleic acids, phage proteins and perturbations to host processes. For each class, we summarize current evidence and highlight emerging principles that connect diverse defence mechanisms. By focusing on sensing rather than downstream responses, we aim to provide a cohesive framework for understanding how bacteria discriminate self from non-self, a challenge universal to immune systems across all domains of life.

Identifiers

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.