Included here is a list of publications from OCG programs. All published data are available to the research community through the program-specific data matrices.
* denotes publications from the CTD2 initiative that are results of intra-Network collaborations
Integration of comprehensive molecular characterization and functional genomic studies identifies paralog gene dependencies induced by somatic mutations. Paralog pair, MAGOH and MAGOHB, identified as members of the exon-junction complex was shared between the shRNA and CRISPR datasets.
Natural killer cells derived from human-induced pluripotent stem cells are effective against ovarian cancer in a mouse xenograft model and may provide an off-the-shelf resource for anti-cancer immunotherapy.
UCSF (1) CTD2 scientists developed a quantitative chemoproteomics approach that combines kinase affinity capture with quantitative mass spectrometry. This technique could be used for developing effective combinatorial therapies.
CTD2 sceintists at Columbia University developed a new precision oncology approach, OncoTreat. This approach enables the systematic prioritization of compounds targeting tumor checkpoint dependencies in gastroenteropancreatic neuroendocrine tumors.
Authors identified transcription factor activating protein 4 (TFAP4) as a critical effector of MYCN amplification in neuroblastoma and showed that silencing TFAP4 inhibits MYCN-amplified neuroblastoma cell growth.