CM4AI all combined d4d

Combined documentation for the March 2025 and June 2025 Beta data releases of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. These releases include: (a) perturb-seq data in undifferentiated KOLF2.1J human induced pluripotent stem cells (hiPSCs); (b) protein-protein interaction data generated by size exclusion chromatography mass spectrometry (SEC-MS) across undifferentiated KOLF2.1J hiPSCs and iPSC-derived NPCs, neurons, cardiomyocytes, and treated and untreated MDA-MB-468 breast cancer cells; and (c) immunofluorescence (IF) images of subcellular protein localization in MDA-MB-468 cells in the presence and absence of chemotherapy (vorinostat and paclitaxel). CM4AI output data are packaged as AI-ready datasets in RO-Crate format using the FAIRSCAPE framework, with provenance graphs and rich metadata. Data are augmented regularly through the end of the project (planned November 2026). Collaboration includes UC San Diego, UC San Francisco, Stanford University, University of Virginia, Yale University, University of Alabama at Birmingham, Simon Fraser University, and The Hastings Center. Copyright (c) 2025 The Regents of the University of California except where otherwise noted. Spatial proteomics raw image data is Copyright (c) 2025 The Board of Trustees of the Leland Stanford Junior University. Dataset licensed for reuse under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).