ArticleNature communications2014
Prediction of antibiotic resistance by gene expression profiles.
Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06566898 (Monitoring of Antimicrobial Resistance Based on Metagenomics Analyses in Pneumonia Patients), which is not on this map. Cited by 145 papers.
What it found
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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.
Monitoring of Antimicrobial Resistance Based on Metagenomics Analyses in Pneumonia Patients: a Genomic Epidemiology Study
Who cites it
145 citing papers in PubMed, 274 citations in OpenAlex.
- ISEmerging microbes & infections · 2026Article
- Systematic citywide analysis reveals ecological connectivity of antimicrobial resistance genes across urban water systems.Nature communications · 2026Article
- Characterization of resistance to last-line therapeutic molecules and genetic diversity ofJournal of medical microbiology · 2026Article
- The Burden and Genomic Characterization ofmedRxiv : the preprint server for health sciences · 2026Article
- Evaluating long-read metagenomics for bloodstream infection diagnostics: a pilot study from a Thai Tertiary Hospital.Scientific reports · 2026Article
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- Eco-evolutionary dynamics and environmental detoxification jointly shape bacterial community response to antibiotic perturbation.The ISME journal · 2026Article
- Phenotypic and genome-based characterization ofFrontiers in microbiology · 2026Article
- Phage endolysins as alternative antimicrobials: mechanisms, clinical progress, and emerging resistance frameworks.Frontiers in microbiology · 2026Review
- Antimicrobial resistance profiling of Salmonella and Escherichia coli isolates from conventional poultry farms in Hossana Town, Central Ethiopia.BMC veterinary research · 2025Article
- Reinforcement learning for adaptive control of phenotypically heterogeneous bacterial populations.bioRxiv : the preprint server for biology · 2025Article
- Minimal gene signatures enable high-accuracy prediction of antibiotic resistance in Pseudomonas aeruginosa.NPJ systems biology and applications · 2025Article
- Systematic screen uncovers regulator contributions to chemical cues in Escherichia coli.PLoS biology · 2025Article
- Effect of host microenvironment and bacterial lifestyles on antimicrobial sensitivity and implications for susceptibility testing.npj antimicrobials and resistance · 2025Review
- Soft Modes as a Predictive Framework for Low-Dimensional Biological Systems Across Scales.Annual review of biophysics · 2025Review
- Antibiotic Resistance in Lactic Acid Bacteria from Dairy Products in Northern Italy.Antibiotics (Basel, Switzerland) · 2025Article
- Predicting the Effect of Meropenem AgainstAntibiotics (Basel, Switzerland) · 2025Article
- Quantitative analysis of relationship between mutation rate and speed of adaptation under antibiotic exposure in Escherichia coli.PLoS genetics · 2025Article
- Article
- Multilocus sequence type analysis of coagulase-negative staphylococci from the neonatal intensive care unit of a teaching hospital in Ghana.The Pan African medical journal · 2025Article
85 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although many mutations contributing to antibiotic resistance have been identified, the relationship between the mutations and the related phenotypic changes responsible for the resistance has yet to be fully elucidated. To better characterize phenotype-genotype mapping for drug resistance, here we analyse phenotypic and genotypic changes of antibiotic-resistant Escherichia coli strains obtained by laboratory evolution. We demonstrate that the resistances can be quantitatively predicted by the expression changes of a small number of genes. Several candidate mutations contributing to the resistances are identified, while phenotype-genotype mapping is suggested to be complex and includes various mutations that cause similar phenotypic changes. The integration of transcriptome and genome data enables us to extract essential phenotypic changes for drug resistances.
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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.