Cell Maps for Artificial Intelligence - June 2025 Data Release (Beta)
收藏DataCite Commons2025-12-22 更新2026-05-03 收录
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https://dataverse.lib.virginia.edu/citation?persistentId=doi:10.18130/V3/F3TD5R
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<h3>Description</h3>
<p>This dataset is a revision of 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 revision includes adding RGB immunofluorescent images, corrections to ro-crate metadata, and changes to naming conventions.
</p>
<p>
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).</p>
<h3>External Data Links</h3>
<p>Access external data resources related to this dataset:</p>
<ul>
<li><strong>Sequence Read Archive (SRA) Data: </strong> Embargoed</li>
<li><strong>Mass Spectrometry Data (Human iPSCs):</strong> <a href="https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=de876e1d228c4f7ab02f84027894bed7" target="_blank">MassIVE Repository</a></li>
<li><strong>Mass Spectrometry Data (Human Cancer Cells):</strong> <a href="https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=ad8b8084f5b14af5bafac70fdd42a577" target="_blank">MassIVE Repository</a></li>
</ul>
<hr></hr>
<h3>Data Governance & Ethics</h3>
<ul>
<li><strong>Human Subjects:</strong> No</li>
<li><strong>De-identified Samples:</strong> Yes</li>
<li><strong>FDA Regulated:</strong> No</li>
<li><strong>Data Governance Committee:</strong> Jillian Parker (jillianparker@health.ucsd.edu)</li>
<li><strong>Ethical Review:</strong> Vardit Ravitsky (ravitskyv@thehastingscenter.org) and Jean-Christophe Belisle-Pipon (jean-christophe_belisle-pipon@sfu.ca)</li>
</ul>
<h3>Completeness</h3>
<p>These data are not yet in completed final form:</p>
<ul>
<li>Some datasets are under temporary pre-publication embargo</li>
<li>Protein-protein interaction (SEC-MS), protein localization (IF imaging), and CRISPRi perturbSeq data interrogate sets of proteins which incompletely overlap</li>
<li>Computed cell maps not included in this release</li>
</ul>
<h3>Maintenance Plan</h3>
<ul>
<li>Dataset will be regularly updated and augmented through the end of the project in November 2026</li>
<li>Updates on a quarterly basis</li>
<li>Long term preservation in the University of Virginia Dataverse, supported by committed institutional funds</li>
</ul>
<h3>Intended Use</h3>
<p>This dataset is intended for:</p>
<ul>
<li>AI-ready datasets to support research in functional genomics</li>
<li>AI model training</li>
<li>Cellular process analysis</li>
<li>Cell architectural changes and interactions in presence of specific disease processes, treatment conditions, or genetic perturbations</li>
</ul>
<h3>Limitations</h3>
<p><strong>Researchers should be aware of inherent limitations:</strong></p>
<ul>
<li>This is an interim release</li>
<li>Does not contain predicted cell maps, which will be added in future releases</li>
<li>The current release is most suitable for bioinformatics analysis of the individual datasets</li>
<li>Requires domain expertise for meaningful analysis</li>
</ul>
<h3>Prohibited Uses</h3>
<ul>
<li><strong>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</strong></li>
</ul>
<h3>Potential Sources of Bias</h3>
<p>Users should be aware of potential biases:</p>
<ul>
<li>Data in this release was derived from commercially available de-identified human cell lines</li>
<li>Does not represent all biological variants which may be seen in the population at large</li>
</ul>
提供机构:
University of Virginia Dataverse
创建时间:
2025-06-24



