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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RO-Crate metadata - 35.0 KB - MD5: 99f9e00053bff3020fd9832a3a518bbb
Release RO-Crate with pointers to sub ro-crates.
Mar 3, 2025
Clark T; Parker J; Al Manir S; Axelsson U; Ballllosero Navarro F; Chinn B; Churas CP; Dailamy A; Doctor Y; Fall J; Forget A; Gao J; Hansen JN; Hu M; Johannesson A; Khaliq H; Lee YH; Lenkiewicz J; Levinson MA; Marquez C; Metallo C; Muralidharan M; Nourreddine S; Niestroy J; Obernier K; Pan E; Polacco B; Pratt D; Qian G; Schaffer L; Sigaeva A; Thaker S; Zhang Y; Bélisle-Pipon JC; Brandt C; Chen JY; Ding Y; Fodeh S; Krogan N; Lundberg E; Mali P; Payne-Foster P; Ratcliffe S; Ravitsky V; Sali A; Schulz W; Ideker T, 2025, "Cell Maps for Artificial Intelligence - March 2025 Data Release (Beta)", https://doi.org/10.18130/V3/B35XWX, University of Virginia Dataverse, V1
This dataset is the March 2025 Data Release of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. This Beta release includes perturb-seq data in undifferentiated KOLF2.1J iPSCs; SEC-MS data in undifferentiated KOLF2.1J iPSCs and iPSC-derived NPCs, neurons, and cardiomyocyt...
ZIP Archive - 2.6 GB - MD5: 9422486c80bc9e1d35b2fbbc72a5f043
This data set displays the spatial localization of 563 proteins of interest in cells of the breast cancer cell line MDA-MB-468 treated with paclitaxel as imaged by immunofluorescence-based staining (ICC-IF) and confocal microscopy in the Lundberg Lab at Stanford University, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) pro...
ZIP Archive - 3.2 GB - MD5: 0b4d129f5fbc3bb7f7ea564cd032cef7
This data set displays the spatial localization of 563 proteins of interest in untreated cells of the breast cancer cell line MDA-MB-468 as imaged by immunofluorescence-based staining (ICC-IF) and confocal microscopy in the Lundberg Lab at Stanford University, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) project. Nuclei w...
ZIP Archive - 2.8 GB - MD5: ac577109a41a9806978461157b777d52
This data set displays the spatial localization of 563 proteins of interest in cells of the breast cancer cell line MDA-MB-468 treated with vorinostat as imaged by immunofluorescence-based staining (ICC-IF) and confocal microscopy in the Lundberg Lab at Stanford University, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) pro...
JSON - 2.9 KB - MD5: cb67e7749b15ce87b9042a9feba9d032
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,...
JSON - 31.1 KB - MD5: cbdb263b1c099396d75e16f00a79a818
This dataset represents an expressed genome-scale CRISPRi Perturbation Cell Atlas in undifferentiated 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; CM4AI.org) Functional Genomics Grand Challenge...
JSON - 1000.1 KB - MD5: 1cafefa32a897998e3e2ba0a29a3ef5c
This dataset represents raw sequence data from 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; CM4AI.org) Functional Genomics Grand Cha...
May 11, 2024
Clark, Timothy; Schaffer, Leah; Obernier, K; Al Manir, Sadnan; Churas, Christopher; Dailamy, A; Doctor, Y; Forget, A; Hansen, JN; Hu, M; Lenkiewicz, J; Levinson, MA; Marquez, C; Mohan, J; Nourreddine, S; Niestroy, J; Pratt, D; Qian, G; Thaker, S; Belisle-Pipon, J-C; Brandt, C; Chen, J; Ding, Y; Fodeh, S; Krogan, N; Lundberg, E; Mali, P; Payne-Foster, P; Ratcliffe, S; Ravitsky, V; Sali, A; Schulz, W; Ideker, T, 2024, "Cell Maps for Artificial Intelligence - Data Release", https://doi.org/10.18130/V3/DXWOS5, University of Virginia Dataverse, V1
This collection is the 0.5 alpha data release of the the Cell Maps for Artificial Intelligence (CM4AI) Functional Genomics Data Generation Project, a component of the U.S. National Institute of Health’s (NIH) Bridge2AI program. CM4AI’s objective is to deliver machine-readable hierarchical maps of cell architecture as AI-Ready data produced from mul...
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