Europe PMC
open access
CC BY-NC-ND 4.0
Single-cell transcriptomic dynamics exposes hidden survival trajectory under antibiotic treatment
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Molecular mechanism of transition-state inhibitors of bacterial antibiotic efflux pumps#294599
- Molecular Dynamics Simulations Demonstrate Reduced Antibiotic Affinity to Mirror Bacterial Targets.#653412
- Building-block synthesis as a determinant of antibiotic persistence#1175173
- SKIM: A fast sketching strategy integrated with model’s dynamic-feedback for large-scale single-cell transcriptomic analysis#443296
- Detection of Pathogen and Antibiotic Resistance Genes by Targeted Next-Generation Sequencing in ICU Patients.#123512
Record · ID 296761
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive