Excel · study · 2026
Integrated omics-based mechanistical insights into a membrane-targeting antibacterial
Listed in NCBI GEO
The continuous risk of antibiotic resistance development underscores the demand for new agents with mechanisms distinct from existing antibacterial drugs.
Description
Here, we investigated HSI#6, a small-molecule antibacterial previously identified as a SecA activator, using integrated omics and functional assays. HSI#6 exhibits broad-spectrum bacteriostatic activity and acts through a dual-phase mechanism: transient activation of SecA-dependent secretion followed by membrane perturbation and global stress reprogramming.
Time-resolved transcriptomics and proteomics revealed early activation of envelope stress regulons (Cpx, Rcs, Pho), efflux systems, and oxidative stress pathways, followed by suppression of ribosome biogenesis and central metabolism. Comparative analysis and biomarker-based principle component analysis (PCA) positioned HSI#6 within the envelope stress mechanistic space, closely aligned with membrane-active antibiotics yet displaying a distinct signature.
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Adaptive laboratory evolution (ALE) combined with whole-genome sequencing (WGS) revealed compensatory mutations in topoisomerase 1A gene (topA) and transcriptional regulators, without adaptive resistance emerged even under prolonged selection pressure. These findings establish HSI#6 as a mechanistically unique antibacterial targeting membrane homeostasis with low resistance potential.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE325nnn/GSE325691 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE325691 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1441471 ncbi.nlm.nih.gov/bioproject/PRJNA1441471 ↗
project · from NCBI GEO
- PubMed 42256778 pubmed.ncbi.nlm.nih.gov/42256778 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Other
- From keywords
- Life Sciences
- Inferred from text
- Genome sequencing 65% · Mass spectrometry 65% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE325691 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].geo_series_type:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:genome-sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:mass-spectrometry | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |