Cell Maps for Artificial Intelligence - June 2025 Data Release (Beta)
Cell Maps for Artificial Intelligence - June 2025 Data Release (Beta)
This dataset is the June 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, iPSC-derived NPCs, neurons, cardiomyocytes, and treated and untreated MDA-MB-468 breast cancer cells; and IF images in MDA-MB-468 breast cancer cells in the presence and absence of chemotherapy (vorinostat and paclitaxel).
External Data Links
- Sequence Read Archive (SRA) Data: NCBI BioProject
- Mass Spectrometry Data (Human iPSCs): MassIVE Repository
- Mass Spectrometry Data (Human Cancer Cells): MassIVE Repository
Data Governance & Ethics
- Human Subjects: No
- De-identified Samples: Yes
- FDA Regulated: No
- Data Governance Committee: Jillian Parker (jillianparker@health.ucsd.edu)
- Ethical Review: Vardit Ravitsky (ravitskyv@thehastingscenter.org) and Jean-Christophe Belisle-Pipon (jean-christophe_belisle-pipon@sfu.ca)
Completeness
- Some datasets are under temporary pre-publication embargo
- Protein-protein interaction (SEC-MS), protein localization (IF imaging), and CRISPRi perturb-seq data interrogate sets of proteins which incompletely overlap
- Computed cell maps not included in this release
Maintenance Plan
- Dataset will be regularly updated and augmented through the end of the project in November 2026
- Updates on a quarterly basis
- Long term preservation in the University of Virginia Dataverse, supported by committed institutional funds
Intended Use
- AI-ready datasets to support research in functional genomics
- AI model training
- Cellular process analysis
- Cell architectural changes and interactions in presence of specific disease processes, treatment conditions, or genetic perturbations
Limitations
- This is an interim release
- Does not contain predicted cell maps, which will be added in future releases
- The current release is most suitable for bioinformatics analysis of the individual datasets
- Requires domain expertise for meaningful analysis
Prohibited Uses
- These laboratory data are not to be used in clinical decision-making or in any context involving patient care without appropriate regulatory oversight and approval
Potential Sources of Bias
- Data in this release was derived from commercially available de-identified human cell lines
- Does not represent all biological variants which may be seen in the population at large
University of Virginia Dataverse (hosting and long-term preservation)
Cm4ai Data Governance Committee Contact
Jillian Parker (jillianparker@health.ucsd.edu)
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Uses
What (other) tasks could the dataset be used for?
Name
Response
AI model training
Train machine learning and AI models on perturb-seq, proteomics, and imaging data
Cellular process analysis
Analyze cellular processes and structures from multi-modal assays
Perturbation effect analysis
Assess effects of disease models, chemical treatments, or CRISPRi perturbations
Name
Terms and prohibited uses
Description
Prohibited Uses
These laboratory data are not to be used in clinical decision-making or in any context involving patient care without appropriate regulatory oversight and approval
Name
Limitations and considerations
Description
Interim release; computed cell maps not yet included
Most suitable for bioinformatics analyses of individual datasets at this stage