Evidence map›Paper›PMID 39211189›Full record

ArticlebioRxiv : the preprint server for biology2024

The genetic landscape of antibiotic sensitivity in Staphylococcus aureus.

Wan Li, Menghan Liu, Panos Oikonomou, Sydney B Blattman, Julia Hettleman, Joseph Gonzalez, Howe Chen, Saeed Tavazoie, Wenyan Jiang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

9 authors.

Wan Li
Menghan Liu
Panos Oikonomou
Sydney B Blattman
Julia Hettleman
Joseph Gonzalez
Howe Chen
Saeed Tavazoie
Wenyan Jiang

Funding

Systems biological interrogation of bacterial persistenceR01AI077562 · NIAID · PRINCETON UNIVERSITY · PI TAVAZOIE, SAEED F · 2010 to 2024
$6.4M
New CRISPR tools for systematic interrogation of genetic and transcriptional determinants of antibiotic sensitivity in bacteriaR00AI153530 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JIANG, WENYAN · 2023 to 2024
$498k
NIAID NIH HHS R00 AI153530NIAID NIH HHS R01 AI077562
6 · The paper itself

Abstract

Despite the critical importance of essential genes, systems-level investigations of their contribution to antibiotic sensitivity have been limited. Using CRISPR Adaptation-mediated Library Manufacturing (CALM), we generated ultra-dense CRISPR interference (CRISPRi) libraries in methicillin-sensitive and -resistant strains of Staphylococcus aureus, which allowed us to quantify gene fitness on a global scale across ten clinically relevant antibiotics. This led to the identification of a comprehensive set of known and novel biological processes modulating bacterial fitness in the antibiotics. Notably, we found that essential genes from diverse processes dominated antibiotic-gene interactions, including a large number of synergistic interactions between bactericidal antibiotics and processes such as cell wall synthesis/cell division (CC), DNA replication/DNA recombination (DD), protein export, and coenzyme A biosynthesis. Simultaneous genetic perturbations of diverse CC and DD processes aggravated bacterial fitness, revealing a widespread synergy between the two highly coordinated processes. In contrast, perturbation of transcriptional, translational, and select energy processes antagonized the effects of bactericidal antibiotics. Finally, we show that small molecule inhibitors recapitulated synergistic antibiotic-gene interactions, providing a rational foundation for developing novel combinatorial antimicrobial therapies.

Identifiers

PMID39211189
PMCPMC11361072

What OpenQuestion holds

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Registered trials

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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.