Evidence map›Paper›PMID 38587412›Full record

ArticleAntimicrobial agents and chemotherapy2024

Transcriptomic responses to antibiotic exposure in

Husain Poonawala, Yu Zhang, Sravya Kuchibhotla, Anna G Green, Daniela Maria Cirillo, Federico Di Marco, Andrea Spitlaeri, Paolo Miotto, Maha R Farhat

Erratum issuedAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Mechanistic Studies of Antibacterial PNAs by RNA-Seq Analysis.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Deconvoluting drug interactions usingAntimicrobial agents and chemotherapy · 2025
    Article
  9. Article
  10. Netupitant Exhibits Potent Activity onACS infectious diseases · 2025
    Article
  11. Review
  12. ACS infectious diseases · 2025
    Article
  13. Emergence of antibiotic-specificAntimicrobial agents and chemotherapy · 2025
    Article
  14. Article
  15. Predicting fitness inFrontiers in tuberculosis · 2025
    Article
  16. Emergence of antibiotic-specificbioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Husain PoonawalaDepartment of Medicine and Department of Pathology and Laboratory Medicine, Tufts Medical Center, Boston, Massachusetts, USA.ORCID 0000-0003-4334-7226
Yu ZhangDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Sravya KuchibhotlaHarvard College, Cambridge, Massachusetts, USA.
Anna G GreenDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Daniela Maria CirilloEmerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0001-6415-1535
Federico Di MarcoEmerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0003-0376-1342
Andrea SpitlaeriEmerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Paolo MiottoEmerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0003-4610-2427
Maha R FarhatDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-3871-5760

Funding

CTSA K12 Program at Tufts UniversityK12TR004384 · NCATS · TUFTS UNIVERSITY BOSTON · PI Karen Freund, Lesley Ann Inker · 2023 to 2026
$6.1M
An RNA Nanosensor for the Diagnosis of Antibiotic Resistance in M. TuberculosisR01AI176498 · NIAID · HARVARD MEDICAL SCHOOL · PI Maha Farhat · 2023 to 2026
$2.9M
Integrating protein structure and genomic data to predict antibiotic resistance in Mycobacterium tuberculosisF32AI161793 · NIAID · HARVARD MEDICAL SCHOOL · PI GREEN, ANNA GUSTAFSON · 2021 to 2022
$139k
NCATS NIH HHS K12 TR004384NIAID NIH HHS F32 AI161793NIAID NIH HHS R01 AI176498
6 · The paper itself

Abstract

Transcriptional responses in bacteria following antibiotic exposure offer insights into antibiotic mechanism of action, bacterial responses, and characterization of antimicrobial resistance. We aimed to define the transcriptional antibiotic response (TAR) in

Indexed as

Mycobacterium tuberculosisTranscriptomeAnti-Bacterial AgentsAntitubercular AgentsGene Expression ProfilingGene Expression Regulation, BacterialHumansMicrobial Sensitivity TestsAnti-Bacterial AgentsAntitubercular Agentsantibiotic responseMycobacterium tuberculosisnovel diagnosticstranscriptomics

Identifiers

PMID38587412
PMCPMC11064486

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.