Publications
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
Researchers discuss a method termed Tree Branches Evaluated Statistically for Tightness (TBEST) for identifying significantly distinct tree branches in hierarchical clusters.
Researchers suggest that glioblastoma (GBM) patients whose tumors carry mutant PIK3R1 alleles may benefit from treatment with inhibitors of AKT.
Researchers identify somatic mutations in RNF43 in over 18% of colorectal adenocarcinomas and endometrial carcinomas, which encodes an E3 ubiquitin ligase that negatively regulates Wnt signaling.
The authors construct genome-scale CRISPRi and CRISPRa libraries. Growth-based screens identify essential genes, tumor suppressors, and regulators of differentiation.
These results suggest that benzodiazepines may have clinical potential for neuroblastoma therapy.
The small-molecule probes STF-31 and its analogue compound 146 were discovered while searching for compounds that kill VHL-deficient renal cell carcinoma cell lines selectively. Cell lines showed sensitivity to three different inhibitors of nicotinamide phosphoribosyltransferase (NAMPT).
By combining whole-genome microarray expression analysis on lung cancer cell lines with ChIP-Seq data, the authors discover an ASCL1 target 72-gene expression signature.
Researchers present CINDy (Conditional Inference of Network Dynamics), a novel algorithm for the genome-wide, context specific prediction of regulatory post-translational dependencies between signaling protein and transcription factor activity, from gene expression data.
Researchers discuss insights of cancer biology learned from using skin carcinogenesis as a model.
The authors propose a framework for the systematic discovery of genetic alterations that are causal determinants of disease.