November 17, 2025

The Functional Genomics Grand Challenge within the NIH Common Fund Bridge2AI Program has released the October 2025 Beta Data Release of Cell Maps for Artificial Intelligence (CM4AI). The Functional Genomics initiative, also known as CM4AI, generates multimodal cellular datasets to support AI research in precision medicine, combining protein–protein interaction (PPI), spatial localization, and genetic perturbation data.

The data were generated in MDA-MB-468 breast cancer cells (with and without paclitaxel or vorinostat) and iPSCs (with and without differentiation), providing researchers with a rich resource for exploring cellular responses to genetic and chemical perturbations.

This Beta release includes:

• Perturb-seq data for MDA-MB-468 breast cancer cells +/- treatment and undifferentiated (parental) KOLF2.1J iPSCs
• SEC-MS data for MDA-MB-468 breast cancer cells +/- treatment, undifferentiated KOLF2.1J iPSCs, and iPSC-derived neuron progenitor cells (NPCs), neurons, and cardiomyocytes
• IF images in MDA-MB-468 breast cancer cells +/- treatment

The CM4AI team is mapping the spatiotemporal architecture of human cells to better understand how genetic variation shapes health and disease. By integrating proteomic mass spectrometry, cellular imaging, and CRISPR/Cas9-based genetic perturbations, our researchers are creating a large-scale library of cellular maps that reveal protein function, organization, and gene regulation across diverse contexts. The CM4AI dataset provides a foundation for AI-driven approaches to explore cellular behavior, drug response, and precision medicine.

Learn more: Access the dataset on the CM4AI website or visit the Bridge2AI datasets page.