To provide AI-ready datasets for the Cell Maps for Artificial Intelligence (CM4AI) Functional Genomics Grand Challenge, a part of the NIH Bridge2AI program.
Dataset Resource
Grantor
Grant Name
Grant Number
National Institutes of Health
-
1OT2OD032742-01
Dataset Resource
Response
To provide AI-ready datasets for the Cell Maps for Artificial Intelligence (CM4AI) Functional Genomics Grand Challenge, a part of the NIH Bridge2AI program.
Dataset Resource
Grantor
Grant Name
Grant Number
National Institutes of Health
-
1OT2OD032742-01
Dataset Resource
Response
To provide AI-ready datasets for the Cell Maps for Artificial Intelligence (CM4AI) Functional Genomics Grand Challenge, a part of the NIH Bridge2AI program.
Dataset Resource
Grantor
Grant Name
Grant Number
National Institutes of Health
-
1OT2OD032742-01
Dataset Resource
Response
To provide AI-ready datasets for the Cell Maps for Artificial Intelligence (CM4AI) Functional Genomics Grand Challenge, a part of the NIH Bridge2AI program.
Dataset Resource
Grantor
Grant Name
Grant Number
National Institutes of Health
-
1OT2OD032742-01
Dataset Resource
Response
To provide AI-ready datasets for the Cell Maps for Artificial Intelligence (CM4AI) Functional Genomics Grand Challenge, a part of the NIH Bridge2AI program.
Dataset Resource
Grantor
Grant Name
Grant Number
National Institutes of Health
-
1OT2OD032742-01
Dataset Resource
Response
To provide AI-ready datasets for the Cell Maps for Artificial Intelligence (CM4AI) Functional Genomics Grand Challenge, a part of the NIH Bridge2AI program.
This dataset represents an expressed genome-scale CRISPRi Perturbation Cell Atlas in undifferentiated KOLF2.1J human induced pluripotent stem cells (hiPSCs) mapping transcriptional and fitness phenotypes associated with 11,739 targeted genes, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) Functional Genomics Grand Challenge, a component of the U.S. National Institute of Health’s (NIH) Bridge2AI program. We validated these findings via phenotypic, protein-interaction, and metabolic tracing assays.
This dataset represents raw sequence data from an expressed genome-scale CRISPRi Perturbation Cell Atlas in KOLF2.1J human induced pluripotent stem cells (hiPSCs) mapping transcriptional and fitness phenotypes associated with 11,739 targeted genes, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) Functional Genomics Grand Challenge, a component of the U.S. National Institute of Health’s (NIH) Bridge2AI program.
Protein Localization Subcellular Images - Paclitaxel
Dataset Resource
This data set displays the spatial localization of 563 proteins of interest in cells of the breast cancer cell line MDA-MB-468 treated with paclitaxel as imaged by immunofluorescence-based staining (ICC-IF) and confocal microscopy in the Lundberg Lab at Stanford University, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) project. Nuclei were stained with DAPI (blue channel); endoplasmic reticulum with a calreticulin antibody (yellow channel); microtubules with tubulin antibody (red channel); and antibody against protein of interest (green channel).
Protein Localization Subcellular Images - Untreated
Dataset Resource
This data set displays the spatial localization of 563 proteins of interest in untreated cells of the breast cancer cell line MDA-MB-468 as imaged by immunofluorescence-based staining (ICC-IF) and confocal microscopy in the Lundberg Lab at Stanford University, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) project. Nuclei were stained with DAPI (blue channel); endoplasmic reticulum with a calreticulin antibody (yellow channel); microtubules with tubulin antibody (red channel); and antibody against protein of interest (green channel).
Protein Localization Subcellular Images - Vorinostat
Dataset Resource
This data set displays the spatial localization of 563 proteins of interest in cells of the breast cancer cell line MDA-MB-468 treated with vorinostat as imaged by immunofluorescence-based staining (ICC-IF) and confocal microscopy in the Lundberg Lab at Stanford University, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) project. Nuclei were stained with DAPI (blue channel); endoplasmic reticulum with a calreticulin antibody (yellow channel); microtubules with tubulin antibody (red channel); and antibody against protein of interest (green channel).
This dataset was generated by size exclusion chromatography-mass spectroscopy (SEC-MS) on undifferentiated KOLF2.1J human induced pluripotent stem cells (hiPSCs), in the Nevan Krogan laboratory at the University of California San Francisco, as part of the Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org) Functional Genomics Grand Challenge, a component of the U.S. National Institute of Health’s (NIH) Bridge2AI program. The data will be uploaded to Pride when available.