dataverse 10.18130 V3 F3TD5R d4d

Datasheet for Dataset - Human Readable Format

🎯

Motivation

Why was the dataset created?

NameResponse
Functional genomics AI readinessAI-ready datasets to support research in functional genomics
AI model trainingEnable AI model training on multi-modal cellular/omics data
Cellular process analysisSupport analysis of cellular processes and architectures
Perturbation and treatment analysisStudy cell architectural changes and interactions under disease, treatment, or genetic perturbations
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Composition

What do the instances represent?

Data TypeNameRepresentation
Sequencing-based single-cell expression data with perturbation guidesCRISPRi perturb-seq in undifferentiated KOLF2.1J iPSCsSingle-cell transcriptomic profiles under CRISPRi perturbations (perturb-seq)
Proteomics mass spectrometry data across iPSCs, NPCs, neurons, cardiomyocytes, and MDA-MB-468 cells ...SEC-MS proteomicsProtein-protein interaction measurements via Size Exclusion Chromatography–Mass Spectrometry (SEC-MS...
Microscopy image data (immunofluorescence) under vorinostat and paclitaxel treatment conditionsImmunofluorescence microscopy imagesIF images of MDA-MB-468 breast cancer cells with/without chemotherapy
  • Name
    Distribution channels
    Description
    • University of Virginia Dataverse landing page and downloads
    • External Repositories
      NCBI SRA (BioProject), MassIVE
  • Name
    Release timeline
    Description
    • June 2025 (Beta data release)
    • 2025-10-22 (Dataverse record date)
🔍

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)
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
2025-10-22
  • CM4AI
  • Cell Maps for Artificial Intelligence
  • functional genomics
  • perturb-seq
  • CRISPRi
  • SEC-MS
  • mass spectrometry
  • immunofluorescence
  • imaging
  • iPSC
  • KOLF2.1J
  • NPCs
  • neurons
  • cardiomyocytes
  • MDA-MB-468
  • vorinostat
  • paclitaxel
  • 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
  1. Name
    Cell line-based sampling
    Is Sample
    • True
    Source Data
    • Commercially available de-identified human cell lines
    Is Representative
    • False
    Why Not Representative
    • Derived from specific cell lines and conditions; does not represent all biological variants in the wider population
DescriptionName
Single-cell RNA-seq with CRISPR interference perturbations in KOLF2.1J iPSCsCRISPRi perturb-seq
Size Exclusion Chromatography coupled to Mass Spectrometry for protein-protein interactionsSEC-MS (proteomics)
IF microscopy of MDA-MB-468 cells under treatment and control conditionsImmunofluorescence imaging
  • Name
    Governance and ethics
    Description
    • Human Subjects
      False
    • De Identified Samples
      True
    • Fda Regulated
      False
    • Data Governance Committee
      Jillian Parker (jillianparker@health.ucsd.edu)
    • Ethical Review
      Vardit Ravitsky (ravitskyv@thehastingscenter.org); Jean-Christophe Belisle-Pipon (jean-christophe_belisle-pipon@sfu.ca)
Name
De-identification status
Description
  • De-identified samples; no human subjects
  • Name
    Related external repositories
    External Resources
    • NCBI SRA (BioProject) for sequencing data
    • MassIVE repository (human iPSCs proteomics)
    • MassIVE repository (human cancer cell proteomics)
Name
Regulatory status
Description
  • Fda Regulated
    False
  • Name
    Dataset hosting and governance
    Description
    • University of Virginia Dataverse (hosting and long-term preservation)
    • Cm4ai Data Governance Committee Contact
      Jillian Parker (jillianparker@health.ucsd.edu)
🚀

Uses

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

NameResponse
AI model trainingTrain machine learning and AI models on perturb-seq, proteomics, and imaging data
Cellular process analysisAnalyze cellular processes and structures from multi-modal assays
Perturbation effect analysisAssess 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
    • Requires domain expertise for meaningful analysis
📤

Distribution

How will the dataset be distributed?

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Maintenance

How will the dataset be maintained?

Name
Update plan
Description
  • Dataset will be regularly updated and augmented through November 2026
  • Quarterly updates planned
  • Long-term preservation in the University of Virginia Dataverse
Generated on 2025-11-09 10:17:35 using Bridge2AI Data Sheets Schema