Cell Maps for Artificial Intelligence (CM4AI) http://CM4AI.org will deliver machine-readable hierarchical maps of cell architecture as AI-ready data, together with quarterly data releases of map-input data streams. CM4AI cell maps are produced from multimodal interrogation of chromatin modifiers, metabolic enzymes, and other proteins involved in cancer, neuropsychiatric, and cardiac disorders in disease-relevant cell lines under treated and untreated conditions, utilizing state-of-the-art mass spectrometry-based proteomics, spatial proteomics / cell imaging, and genetic perturbations via CRISPR/Cas9. CM4AI is a collaboration of UCSD, UCSF, Stanford, UVA, Yale, UT Austin, UA Birmingham, Simon Fraser University, and the Hastings Center, as part of the NIH Bridge2AI program.
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JSON - 386.7 KB - MD5: 0a0195078f71f877e3aa8f15ed92194a
This dataset was generated by size exclusion chromatography-mass spectroscopy (SEC-MS) on undifferentiated KOLF2.1J human induced pluripotent stem cells (hiPSCs), in the Nevan Krogan laboratory at the University of California San Francisco, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) Functional Genomics Grand Challenge,...
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JSON - 37.2 KB - MD5: d6091c9a5713bfe9f3d0cdc38768ca8b
This dataset represents an expressed genome-scale CRISPRi Perturbation Cell Atlas in KOLF2.1J human induced pluripotent stem cells (hiPSCs) mapping transcriptional and fitness phenotypes associated with 11,739 targeted genes, as part of the Cell Maps for Artificial Intelligence (CM4AI) Functional Genomics Grand Challenge, a component of the U.S. Na...
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HTML datasheet summarizing key release information.
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