ArticleThe EMBO journal2022
Messages from the dead protect bacteria from viral attack.
Article in The EMBO journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Influence of Dead Cells Killed by Industrial Biocides (BAC and DBNPA) on Biofilm Formation.Antibiotics (Basel, Switzerland) · 2024Article
- Messages from the dead protect bacteria from viral attack.The EMBO journal · 2022Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial populations are ubiquitously threatened by viral predation. In this issue, Tzipilevich and colleagues show that bacteria killed by viruses release a danger signal that warns neighboring cells to ramp up their defenses. This "message from the dead" thereby induces phenotypic tolerance to infections and slows down viral spread in the population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.