Gabriele Picco

@gabrielepicco.bsky.social

Senior Staff Scientist @sangerinstitute. Passionate about cancer genetics, functional genomics and precision medicine. Husband of one. Daddy of two.

WRN inhibitors are being tested in patients with MSI cancers. How do tumours adapt to WRN inhibition, and can therapy stay ahead of resistance? Our latest preprint investigates how MSI tumours evolve under pressure from WRN inhibition. Highlights below.

Planning to apply for #research #funding from the ERC? From the next application rounds, expect changes to the: • proposal structure • evaluation process • extra funding you can request • eligibility for Starting & Consolidator #Grants (from 2027) More 👇 europa.eu/!RPHWvv

Changes to the 2026 and 2027 Work Programmes

With the launch of the competitions for grants under ERC Work Programme 2026 in July of this year, several changes to the submission of applications and the evaluation of proposals will apply. The mai...

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Calling attention to this tome. 👀 By reading this paper, you are likely to learn many things, not the least of which is that using "Giga-scale" in your paper title sounds bad-ass. Worked headed by @genophoria.bsky.social & @vevotherapeutics.bsky.social #genomics #bioinformatics 🧪 bit.ly/4bj2fIc

Tahoe-100M: A Giga-Scale Single-Cell Perturbation Atlas for Context-Dependent Gene Function and Cellular Modeling

Building predictive models of the cell requires systematically mapping how perturbations reshape each cell's state, function, and behavior. Here, we present Tahoe-100M, a giga-scale single-cell atlas of 100 million transcriptomic profiles measuring how each of 1,100 small-molecule perturbations impact cells across 50 cancer cell lines. Our high-throughput Mosaic platform, composed of a highly diverse and optimally balanced 'cell village', reduces batch effects and enables parallel profiling of thousands of conditions at single-cell resolution at an unprecedented scale. As the largest single-cell dataset to date, Tahoe-100M enables artificial-intelligence (AI)-driven models to learn context-dependent functions, capturing fundamental principles of gene regulation and network dynamics. Although we leverage cancer models and pharmacological compounds to create this resource, Tahoe-100M is fundamentally designed as a broadly applicable perturbation atlas and supports deeper insights into cell biology across multiple tissues and contexts. By publicly releasing this atlas, we aim to accelerate the creation and development of robust AI frameworks for systems biology, ultimately improving our ability to predict and manipulate cellular behaviors across a wide range of applications. ### Competing Interest Statement Jesse Zhang, Airol A Ubas, Richard de Borja, Valentine Svensson, Nicole Thomas, Neha Thakar, Ian Lai, Aidan Winters, Umair Khan, Matthew G. Jones, Daniele Merico, Nima Alidoust, Hani Goodarzi, Johnny Yu, have received compensation and/or equity from Vevo Therapeutics. Vuong Tran, Joseph Pangallo, Efthymia Papalexi, Ajay Sapre, Hoai Nguyen, Oliver Sanderson, Maria Nigos, Olivia Kaplan, Sarah Schroeder, Bryan Hariadi, Simone Marrujo, Crina Curca Alec Salvino, Guillermo Gallareta Olivares, Ryan Koehler, Gary Geiss, Alexander Rosenberg, Charles Roco, have received compensation and/or equity from Parse Biosciences.

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