@arcinstitute: Because PerturbSpace uses standard single-cell sequencing, it's compatible with any single-cell readout. In one day, th…
Summary
Arc Institute's PerturbSpace enables high-throughput single-cell profiling of transcriptome, location, CRISPR guides, clonal relationships, and surface proteins from many samples in one day, using standard single-cell sequencing.
View Cached Full Text
Cached at: 05/27/26, 05:18 AM
Because PerturbSpace uses standard single-cell sequencing, it’s compatible with any single-cell readout. In one day, the team processed 50 spleen sections from 3 mice, capturing each cell’s transcriptome, location, CRISPR guide, clonal relationship, and 119 surface proteins. https://t.co/vnhoVYnUsQ
Similar Articles
@arcinstitute: PerturbSpace presses a tissue section onto a chip of barcoded microwells. Antibodies in each well tag the cells above w…
PerturbSpace is a spatial transcriptomics method that presses a tissue section onto a chip of barcoded microwells, using antibodies to tag cells with location codes before single-cell sequencing, achieving >90% confident spatial assignment.
@arcinstitute: Most spatial CRISPR screens require trade-offs in throughput or readout depth. A new preprint from @alexnevue, @Inna_Av…
A new preprint from the Arc Institute introduces PerturbSpace, a method for spatially resolved, multimodal whole-transcriptome CRISPR screens compatible with standard single-cell workflows.
Geometric coherence of single-cell CRISPR perturbations reveals regulatory architecture and predicts cellular stress
This paper introduces Shesha, a geometric stability metric that quantifies directional coherence of single-cell CRISPR perturbation responses using mean cosine similarity, revealing regulatory architecture and predicting cellular stress across 2,200+ perturbations in five CRISPR datasets.
CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment
CellBRIDGE is a new method that enhances optimal transport for scRNA-seq trajectory inference by incorporating ligand-receptor interaction costs to model cell-cell communication, improving alignment and enabling interpretable in silico perturbations.
@SethSHowes: I just sequenced a human genome to 30× coverage entirely at home. As far as I know, this is the first time this has bee…
A researcher sequenced a human genome to 30× coverage entirely at home using an Oxford Nanopore P2 Solo, marking the first time this has been done outside a lab. He attributed his success to AI helping solve technical problems across software, hardware, and molecular biology.