RO-Crate Summary
Description
This dataset represents 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) 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.
Authors
Doctor Y; Dailamy A; Forget A; Lee YH; Chinn B; Khaliq H; Polacco B; Muralidharan, M; Pan E; Zhang Y; Sigaeva A; Hansen JN; Gao J; Parker JA; Obernier K; Clark T; Chen JY; Metallo C; Lundberg E; Ideker T; Krogan N; Mali P
Principal Investigator
Trey Ideker
Contact Email
pmali@ucsd.edu
Confidentiality Level
Unrestricted
Keywords
AI, Artificial intelligence, Cell maps, CM4AI, CRISPR perturbation, IPSC, KOLF2.1J, Machine learning, Perturb-seq, scRNAseq, single-cell RNA sequencing
Citation
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; Payne-Foster P; Ratcliffe S; Ravitsky V; Sali A; Schulz W; Ideker T, 2025, "Cell Maps for Artificial Intelligence - March 2025 Data Release (Beta)", https://doi.org/10.18130/V3/B35XWX , https://dataverse.lib.virginia.edu/, V1
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