scFOCAL / ISOSCELES
Also known as: scFOCAL · ISOSCELES
Approach that links glioblastoma single-cell states to LINCS L1000 drug signatures to predict state-specific sensitivity and resistance, with in vitro, ex vivo and in vivo validation reported in the paper. VC0132
Review pending Version 0.1.0 · status: draft · last expert review: not yet reviewed
Relations
| Subject | Relation | Object | Confidence | Evidence (role) |
|---|---|---|---|---|
| scFOCAL / ISOSCELES | associated with | Glioblastoma | high | VC0132 supports |
| scFOCAL / ISOSCELES | uses dataset | LINCS L1000 drug signatures | high | VC0132 dataset |
Appears in research topics
- Mesenchymal-like (MES-like) glioblastoma cell state (Cell states)
- Neural-progenitor-like (NPC-like) and OPC-like glioma cell states (Cell states)
- AI virtual cell models (Models)
- Perturbation data for glioblastoma: radiotherapy, drugs and CRISPR (Perturbations)
Appears in library items (1)
Items whose title, tags or one-line summary match this entity (derived from the data), plus the items cited as evidence for the description.
- VC0132 Drug and single-cell gene expression integration identifies sensitive and resistant glioblastoma cell populations — Suter et al., Nature Communications, 2026
For research and education only. Not medical advice and not a recommendation of any diagnosis, treatment or product. Patients should consult their own physicians.