Evidence map›Paper›PMID 27193499›Full record

ArticleACS chemical biology2016

Rapid Inhibition Profiling in Bacillus subtilis to Identify the Mechanism of Action of New Antimicrobials.

Anne Lamsa, Javier Lopez-Garrido, Diana Quach, Eammon P Riley, Joe Pogliano, Kit Pogliano

Abstract read
In one paragraph

Article in ACS chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Deep learning-driven bacterial cytological profiling to determine antimicrobial mechanisms inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. Perturbation-specific transcriptional mapping for unbiased target elucidation of antibiotics.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
  8. Sensing of Antibiotic-Bacteria Interactions.Antibiotics (Basel, Switzerland) · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Anne LamsaDivision of Biological Sciences, University of California, San Diego , La Jolla, California, United States.
Javier Lopez-GarridoDivision of Biological Sciences, University of California, San Diego , La Jolla, California, United States.
Diana QuachDepartment of Bioengineering, University of California, San Diego , La Jolla, California, United States.
Eammon P RileyDivision of Biological Sciences, University of California, San Diego , La Jolla, California, United States.
Joe PoglianoDivision of Biological Sciences, University of California, San Diego , La Jolla, California, United States.
Kit PoglianoDivision of Biological Sciences, University of California, San Diego , La Jolla, California, United States.

Funding

GENETIC MECHANISMS AND REGULATIONT32GM007240 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMPTON, RANDOLPH Y. · 1985 to 2019
$23.8M
FORESPORE ENGULFMENT DURING B SUBTILIS SPORULATIONR01GM057045 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POGLIANO, KIT J · 1998 to 2021
$6.1M
Identification of natural products targeting new pathways in bacteriaR01AI113295 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POGLIANO, JOSEPH A, POGLIANO, KIT J · 2014 to 2018
$3.3M
NIAID NIH HHS R01 AI113295NIGMS NIH HHS R01 GM057045NIGMS NIH HHS T32 GM007240
6 · The paper itself

Abstract

Increasing antimicrobial resistance has become a major public health crisis. New antimicrobials with novel mechanisms of action (MOA) are desperately needed. We previously developed a method, bacterial cytological profiling (BCP), which utilizes fluorescence microscopy to rapidly identify the MOA of antimicrobial compounds. BCP is based upon our discovery that cells treated with antibiotics affecting different metabolic pathways generate different cytological signatures, providing quantitative information that can be used to determine a compound's MOA. Here, we describe a system, rapid inhibition profiling (RIP), for creating cytological profiles of new antibiotic targets for which there are currently no chemical inhibitors. RIP consists of the fast, inducible degradation of a target protein followed by BCP. We demonstrate that degrading essential proteins in the major metabolic pathways for DNA replication, transcription, fatty acid biosynthesis, and peptidoglycan biogenesis in Bacillus subtilis rapidly produces cytological profiles closely matching that of antimicrobials targeting the same pathways. Additionally, RIP and antibiotics targeting different steps in fatty acid biosynthesis can be differentiated from each other. We utilize RIP and BCP to show that the antibacterial MOA of four nonsteroidal anti-inflammatory antibiotics differs from that proposed based on in vitro data. RIP is a versatile method that will extend our knowledge of phenotypes associated with inactivating essential bacterial enzymes and thereby allow for screening for molecules that inhibit novel essential targets.

Indexed as

Anti-Bacterial AgentsAnti-Inflammatory Agents, Non-SteroidalBacillus subtilisBacterial ProteinsDiscriminant AnalysisDNA ReplicationFatty AcidsMicrobial Sensitivity TestsMicroscopy, FluorescenceTranscription, GeneticAnti-Bacterial AgentsAnti-Inflammatory Agents, Non-SteroidalBacterial ProteinsFatty Acids

Identifiers

PMID27193499
PMCPMC5459310

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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.