Perturb-seq
Also known as: perturb-seq · in vivo Perturb-seq
Single-cell perturbation-screening approach. In vivo Perturb-seq with CRISPRi in mouse GBM models silenced drivers of tumor growth and radiotherapy-sensitising genes; genome-scale Perturb-seq in K562/RPE1 is a main training resource for virtual-cell models. VC0070 VC0040 VC0045 · preprint
Review pending Version 0.1.0 · status: draft · last expert review: not yet reviewed
Relations
| Subject | Relation | Object | Confidence | Evidence (role) |
|---|---|---|---|---|
| Perturb-seq | perturbs | Glioblastoma | high | VC0070 supports In vivo Perturb-seq in mouse GBM models; may not transfer to human tumors. |
Appears in research topics
- Glioblastoma single-cell and spatial datasets (Datasets)
- Perturbation data for glioblastoma: radiotherapy, drugs and CRISPR (Perturbations)
- Therapy-induced plasticity in glioblastoma (Transitions)
Appears in library items (7)
Items whose title, tags or one-line summary match this entity (derived from the data), plus the items cited as evidence for the description.
- VC0139 · preprint Engineered regulatory states resolve context-dependent genetics in macular degeneration — Metzner E, Guruvayurappan K, Southard KM, Ardy RC, Dey KK, Norman TM., bioRxiv, 2026
- VC0110 Causal Models Need Causal Data - Xaira's X-Cell (podcast) — Latent Space, Latent Space podcast, 2026
- VC0046 · preprint Scalable probe-based single-cell transcriptional profiling for virtual cell perturbation mapping and synthetic biology phenotyping — Swinderman JT et al., bioRxiv, 2026
- VC0045 · preprint X-Atlas/Orion: Genome-wide Perturb-seq Datasets via a Scalable Fix-Cryopreserve Platform for Training Dose-Dependent Biological Foundation Models — Huang AC et al., bioRxiv, 2025
- VC0070 In vivo perturb-seq of cancer and microenvironment cells dissects oncologic drivers and radiotherapy responses in glioblastoma. — Liu SJ et al., Genome biology, 2024
- VC0040 Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq. — Replogle JM et al., Cell, 2022
- VC0103 Arc Institute Virtual Cell Initiative — Arc Institute, web
For research and education only. Not medical advice and not a recommendation of any diagnosis, treatment or product. Patients should consult their own physicians.