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

 

CTD²
April 09, 2018
Developmental Cell

Researchers at Johns Hopkins School of Medicine CTD2 Center use multidisciplinary studies to define a set of mechanical properties and cell behaviors to study how cells collaborate to elongate epithelial tubes. These studies will enable the understanding of cell migration through tissues.

CTD²
April 02, 2018
Cell Cycle
CTD²
March 28, 2018
Cell Systems

Expression analysis reveals pan-cancer and tumor-specific MYC-associated pathways. Integrating these analysis results with the TCGA dataset could provide insights in understanding MYC-driven cancers and identify novel markers and therapeutic approaches for cancer treatments.

CTD²
March 22, 2018
Haematologica

An automated decision tree genetic abnormalities analyses is used to stratify acute myeloid leukemia patients according to the European Leukemia Network guidelines.

TARGET
March 15, 2018
Nature

This study by TARGET researchers analyzed DNA changes and sequenced the genomes, exomes, and transcriptomes of 1,699 pediatric leukemia and solid tumors. Out of the 142 genes associated with cancer in these pediatric patients, only 45% matched those found in similar studies of adult cancers.

CTD²
March 12, 2018
Cancer Cell

CTD2 scientists at the University of Texas MD Anderson Cancer Center demonstrated inhibition of bromodomain-containing four induced homologous recombination deficiencies. This inhibition resensitizes cells with acquired resistance to PARP inhibitors.

CTD²
March 12, 2018
Cancer Cell

UTMDACC developed a functional genomic platform used to annotate gene amplifications, point mutations, indels, and gene fusions of cancer variants. This data is accessible through a user-friendly, interactive open-access web portal, FASMIC (Functional Annotation of Somatic Mutations in Cancer).

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