Evidence map›Paper›PMID 20065048›Full record

ArticleAntimicrobial agents and chemotherapy2010

Antibiotic sensitivity profiles determined with an Escherichia coli gene knockout collection: generating an antibiotic bar code.

Anne Liu, Lillian Tran, Elinne Becket, Kim Lee, Laney Chinn, Eunice Park, Katherine Tran, Jeffrey H Miller

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed
6.2field-weighted citation impact, top 2% of its field
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

174 citing papers in PubMed, 287 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Microbiology (Reading, England) · 2026
    Article
  5. Article
  6. Rethinking the unmet need for novel antibiotics.The Journal of antibiotics · 2026
    Article
  7. Mechanism of 30S subunit recognition and modification by the conserved bacterial ribosomal RNA methyltransferase RsmI.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
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  10. Review
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  14. Mechanisms of fusidic acid resistance.Biochemical Society transactions · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

114 more citing papers are in PubMed but not listed here.

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

8 authors.

Anne LiuDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095, USA.
Lillian Tran
Elinne Becket
Kim Lee
Laney Chinn
Eunice Park
Katherine Tran
Jeffrey H Miller

Funding

EFFECTS OF SO2 AND RESPIRABLE PARTICULATES ON HEALTHR01ES001108 · NIEHS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI DOCKERY, DOUGLAS W · 1985 to 1992
–
NIEHS NIH HHS ES0110875
6 · The paper itself

Abstract

We have defined a sensitivity profile for 22 antibiotics by extending previous work testing the entire KEIO collection of close to 4,000 single-gene knockouts in Escherichia coli for increased susceptibility to 1 of 14 different antibiotics (ciprofloxacin, rifampin [rifampicin], vancomycin, ampicillin, sulfamethoxazole, gentamicin, metronidazole, streptomycin, fusidic acid, tetracycline, chloramphenicol, nitrofurantoin, erythromycin, and triclosan). We screened one or more subinhibitory concentrations of each antibiotic, generating more than 80,000 data points and allowing a reduction of the entire collection to a set of 283 strains that display significantly increased sensitivity to at least one of the antibiotics. We used this reduced set of strains to determine a profile for eight additional antibiotics (spectinomycin, cephradine, aztreonem, colistin, neomycin, enoxacin, tobramycin, and cefoxitin). The profiles for the 22 antibiotics represent a growing catalog of sensitivity fingerprints that can be separated into two components, multidrug-resistant mutants and those mutants that confer relatively specific sensitivity to the antibiotic or type of antibiotic tested. The latter group can be represented by a set of 20 to 60 strains that can be used for the rapid typing of antibiotics by generating a virtual bar code readout of the specific sensitivities. Taken together, these data reveal the complexity of intrinsic resistance and provide additional targets for the design of codrugs (or combinations of drugs) that potentiate existing antibiotics.

Indexed as

Genes, BacterialDatabases, GeneticDrug Resistance, BacterialDrug Resistance, Multiple, BacterialElectronic Data ProcessingEscherichia coliGene DeletionGene Knockout TechniquesMicrobial Sensitivity Tests

Identifiers

PMID20065048
PMCPMC2849384
OpenAlexW2115164382

What OpenQuestion holds

Textmetadata
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.