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.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 77 Results
Sep 15, 2026
Niestroy, Justin; Levinson, Maxwell; Al Manir, Mohammad Sadnan; Clark, Timothy, 2026, "Bridge2AI C2M2 Metadata Packages", https://doi.org/10.18130/V3/FGIL5E, University of Virginia Dataverse, V1
RO-Crate packaging of the CFDE Crosscut Metadata Model (C2M2) datapackages for three NIH Bridge2AI data generation projects: Bridge2AI-Voice, AI-READI, and CM4AI
Gzip Archive - 773.5 KB - MD5: 548258f6bad4b65acb6ef7d2a6398f76
Data
C2M2 RO-Crate for Bridge2AI Salutogenesis Grand Challenge C2M2; version 2.0; 22 datasets; 4.5 MB of described content; ARK ark:59853/aireadi-c2m2.
Gzip Archive - 181.7 KB - MD5: 947a490229a6ce38f19d562fce04d36e
Data
C2M2 RO-Crate for Cell Maps for Artificial Intelligence C2M2; version 2.0; 27 datasets; 19.3 TB of described content; ARK ark:59853/cm4ai-c2m2.
Gzip Archive - 18.0 MB - MD5: 5baed669530aaf69ffd1c8abdeb22bcd
Data
C2M2 RO-Crate for NIH Bridge2AI Voice Consortium (Precision Public Health Grand Challenge); version 2.0; 102162 datasets; 34.9 GB of described content; ARK ark:59853/b2ai_voice-c2m2.
Jul 15, 2026
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, 2026, "Cell Maps for Artificial Intelligence - June 2026 Data Release (Beta)", https://doi.org/10.18130/V3/HIGT4C, University of Virginia Dataverse, V2
Description This dataset is the June 2026 Data Release of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. CM4AI is generating multi-modal data including protein-protein interaction (PPI), spatial localization, and genetic perturbation data in MDA-MB-468 breast cancer ce...
ZIP Archive - 3.8 GB - MD5: 6c1a86520eec2696ec19444eb8a8b428
ZIP Archive - 4.6 GB - MD5: 6d066e6b9d762284c6aa5d0b44565568
ZIP Archive - 4.2 GB - MD5: df79632753989ef23b0a3df6604d4af1
Jul 8, 2026
Leah V. Schaffer; Mengzhou Hu; Gege Qian; Kyung-Mee Moon; Abantika Pal; Neelesh Soni; Andrew P. Latham; Laura Pontano Vaites; Dorothy Tsai; Nicole M. Mattson; Katherine Licon; Sadnan Al Manir; Robin Bachelder; Anthony Cesnik; Ishan Gaur; Trang Le; William Leineweber; Max Levinson; Justin Niestroy; Aji Palar; Ernst Pulido; Yue Qin; Xiaoyu Zhao; Christopher Churas; Joanna Lenkiewicz; Jing Chen; Keiichiro Ono; Dexter Pratt; Timothy Clark; Peter Zage; Ignacia Echeverria; Andrej Sali; J. Wade Harper; Steven P. Gygi; Leonard J. Foster; Edward L. Huttlin; Emma Lundberg; Trey Ideker, 2026, "Cell Maps for Artificial Intelligence - U2OS Cell Map", https://doi.org/10.18130/V3/164SI1, University of Virginia Dataverse, V2
Description This dataset is the U2OS Cell Map Release of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. It provides an AI-ready, provenance-tracked reconstruction of a multi-scale map of human cell architecture for the U2OS (osteosarcoma) cell line, integrating protein...
ZIP Archive - 2.1 MB - MD5: 8efae65a8ab4571fb040ce47e1dfec30
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.