Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution.

Cell · 17 Sept 2026 · Journal Article · Open access

Zhang, Ubas + more

The abstract is read at the publisher; the summary is JClub's.

Tahoe-100M profiles 100 million single-cell transcriptomes across 50 cancer cell lines under 1,100 drug-dose conditions, enabling low-batch, multiplexed mapping of drug-induced molecular phenotypes.

Why it matters: Drug response is heterogeneous and mechanistically complex, and existing data often lacks single-cell, multi-perturbation coverage to quantify phenotypes and fate shifts reliably.
What they did: Using the Mosaic platform, genetically distinct cell models are multiplexed into balanced “cell villages,” followed by parallel single-cell profiling and systematic phenotype quantification.
The result: The atlas defines drug-induced expression programs, classifies mechanisms of action, detects off-target and adaptive stress responses linked to resistance, and supports public training of AI predictive models.

AI summary of the abstract · may contain errors · not medical advice · read the paper.

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scBaseCount: An AI agent-curated, standardized, auto-updated single-cell data repository.
Cell · 17 Sept 2026 · Journal Article
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scBaseCount, built from mining all 10x Genomics datasets, standardizes single-cell gene expression for over 502 million cells across 27 organisms and 75 tissues.
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- 51 cites
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https://jclub.com.au/a/42753696
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Reconstructing developmental and disease progression with sample-level embeddings.
Cell · 9 Nov 2026 · Journal Article
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scSLIDE embeds single-cell samples into density-profile vectors that reveal separable axes of COVID-19 infection and severity, plus disease trajectories and embryonic pseudostages.
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https://jclub.com.au/a/43003088
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Efficient differential expression analysis of large-scale single-cell transcriptomics data using Dreamlet.
Nature Communications · 23 Sept 2026 · Journal Article
AI summary · may contain errors
Dreamlet, an R package for pseudobulk precision-weighted linear mixed models, enables fast, memory-efficient differential expression across subjects in large single-cell datasets while controlling false positives.
- Open access
- 85 cites
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https://jclub.com.au/a/42778542
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Tahoe-100M: Mapping drug-induced molecular phenotypes at single-cell resolution.

Related in JClub

scBaseCount: An AI agent-curated, standardized, auto-updated single-cell data repository.

Reconstructing developmental and disease progression with sample-level embeddings.

Efficient differential expression analysis of large-scale single-cell transcriptomics data using Dreamlet.

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