dataverse 10.18130 V3 F3TD5R tab terms d4d

Datasheet for Dataset - Human Readable Format

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Motivation

Why was the dataset created?

GrantorGrant NameGrant Number
National Institutes of Health (NIH) Bridge2AI Program--
  • Response
    AI-ready datasets to support research in functional genomics
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Composition

What do the instances represent?

Data TypeInstance TypeMissing InformationRepresentation
Sequencing-based single-cell perturbation readouts; primary data and/or intermediate processed dataPerturb-seq (CRISPRi) in undifferentiated KOLF2.1J iPSCs{'missing': 'Computed cell maps', 'why_missing': 'Not included in this release; to be added in future releases'}Cell line assay data
Mass spectrometry raw and/or processed spectral/protein interaction dataSize exclusion chromatography mass spectrometry (SEC-MS) in iPSCs, iPSC-derived NPCs, neurons, cardi...Proteomics data
Microscopy image dataImmunofluorescence (IF) images in MDA-MB-468 cells with and without chemotherapy (vorinostat and pac...Imaging data
  • Identification
    • Undifferentiated KOLF2.1J human iPSCs
    • iPSC-derived neural progenitor cells (NPCs)
    • iPSC-derived neurons
    • iPSC-derived cardiomyocytes
    • MDA-MB-468 human breast cancer cell line (treated and untreated)
  • Description
    • University of Virginia Dataverse repository distribution
    • Links to external repositories (NCBI SRA/BioProject, MassIVE)
  • Description
    • 2025-10-22
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Collection Process

How was the data acquired?

Cell Maps for Artificial Intelligence - June 2025 Data Release (Beta)
Cell Maps for Artificial Intelligence - June 2025 Data Release (Beta)
Description 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-MB468 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 Access external data resources related to this dataset: 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 These data are not yet in completed final form: Some datasets are under temporary pre-publication embargo Protein-protein interaction (SEC-MS), protein localization (IF imaging), and CRISPRi perturbSeq 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 This dataset is intended for: 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 Researchers should be aware of inherent 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 Users should be aware of potential biases: 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
2025-10-22
Name
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
BΓ©lisle-Pipon JC
Brandt C
Chen JY
Ding Y
Fodeh S
Krogan N
Lundberg E
Mali P
  • Description
    • Interim release; some datasets under temporary pre-publication embargo
    • Protein sets across modalities incompletely overlap
    • Computed cell maps not included
  • External Resources
    • Sequence Read Archive (SRA) via NCBI BioProject
    • MassIVE Repository (Human iPSCs)
    • MassIVE Repository (Human Cancer Cells)
    Restrictions
    • External repositories may have their own licensing/terms of use
  • Description
    • Perturb-seq (CRISPRi-based single-cell transcriptomics)
    • Size exclusion chromatography coupled mass spectrometry (SEC-MS)
    • Immunofluorescence microscopy imaging
  1. Description
    • Data directly observed via sequencing, proteomics, and imaging assays
    Was Directly Observed
    True
    Was Reported By Subjects
    False
    Was Inferred Derived
    Some downstream computed cell maps are not included in this release
  • Description
    • Ethical review oversight by Vardit Ravitsky (ravitskyv@thehastingscenter.org) and Jean-Christophe Belisle-Pipon (jean-christophe_belisle-pipon@sfu.ca)
Description
  • Human Subjects
    False
  • De Identified Samples
    True
  • Description
    • No patient-identifying information; data derived from de-identified human cell lines
  • Description
    • Fda Regulated
      False
  • Description
    • Long-term preservation and hosting in the University of Virginia Dataverse (supported by institutional funds)
    • Data Governance Committee Contact
      Jillian Parker (jillianparker@health.ucsd.edu)
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Uses

What (other) tasks could the dataset be used for?

Response
AI model training
Cellular process analysis
Analysis of cell architectural changes and interactions under disease, treatment, or genetic perturb...
  • Description
    • Data derived from commercially available de-identified human cell lines; may not represent all biological variants
    • Interim release and modality coverage differences may impact integrative analyses
  • Description
    • Not for clinical decision-making or patient care without appropriate regulatory oversight and approval
  • Description
    • Prohibited clinical use without appropriate regulatory oversight and approval
    • Some datasets subject to temporary pre-publication embargo
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Distribution

How will the dataset be distributed?

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Maintenance

How will the dataset be maintained?

June 2025 Beta
Description
  • Dataset will be regularly updated and augmented through November 2026
  • Quarterly updates planned
Generated on 2025-11-09 10:17:35 using Bridge2AI Data Sheets Schema