The goal of Core C is to provide scientific, administrative and statistical support for all of the Projects and Cores of the University of Washington Program on 'Human RecQ Helicases in Biology and Oncology'. Core C also provides a forum and mechanism for scientific review and decision-making, and promotes continuous, informal communication to facilitate research and collaboration within the Program and with outside investigators. We have incorporated and improved the most useful features of the Core with this revision, and added considerable new strength in biostatistical and computing support where our needs have continued to grow rapidly. The Core C Specific Aims are:
Aim 1 : Administrative support: Provide common administrative support for all Projects and Cores to facilitate Program budgeting, subcontract negotiation, purchasing and record-keeping, and Human Subjects and Animal approval filings;
Aim 2 : Scientific decision-making and planning: Provide centralized scientific decision-making to plan, facilitate and review research and to identify and develop new research directions;
Aim 3 : Resource development and sharing: Develop and share common research reagents, methods and resources across the Program as a whole;
Aim 4 : Biostatistical support: Provide common biostatistical support to facilitate experimental design, data mining and archiving, data analysis and publication;
and Aim 5 : RecQ web resource development/hosting: Develop web-accessible resources to facilitate research in RecQ helicase biology and medicine.

Public Health Relevance

This Core has been designed to provide administrative and statistical support to facilitate research in all of the Projects and Cores that constitute this research Program. The Program is focused on human RecQ helicase proteins and their roles in normal cells and in cancer pathogenesis and the response to chemotherapy.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Research Program Projects (P01)
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Special Emphasis Panel (ZCA1-GRB-S)
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University of Washington
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Knijnenburg, Theo A; Wang, Linghua; Zimmermann, Michael T et al. (2018) Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas. Cell Rep 23:239-254.e6
Orozco, Javier I J; Knijnenburg, Theo A; Manughian-Peter, Ayla O et al. (2018) Epigenetic profiling for the molecular classification of metastatic brain tumors. Nat Commun 9:4627
Schmitt, Michael W; Pritchard, Justin R; Leighow, Scott M et al. (2018) Single-Molecule Sequencing Reveals Patterns of Preexisting Drug Resistance That Suggest Treatment Strategies in Philadelphia-Positive Leukemias. Clin Cancer Res 24:5321-5334
Mikheev, Andrei M; Mikheeva, Svetlana A; Severs, Liza J et al. (2018) Targeting TWIST1 through loss of function inhibits tumorigenicity of human glioblastoma. Mol Oncol 12:1188-1202
Lee, Su-In; Celik, Safiye; Logsdon, Benjamin A et al. (2018) A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia. Nat Commun 9:42
Salk, Jesse J; Schmitt, Michael W; Loeb, Lawrence A (2018) Enhancing the accuracy of next-generation sequencing for detecting rare and subclonal mutations. Nat Rev Genet 19:269-285
Davis, Luther; Zhang, Yinbo; Maizels, Nancy (2018) Assaying Repair at DNA Nicks. Methods Enzymol 601:71-89
Yu, Ming; Heinzerling, Tai J; Grady, William M (2018) DNA Methylation Analysis Using Droplet Digital PCR. Methods Mol Biol 1768:363-383
Kamath-Loeb, Ashwini S; Zavala-van Rankin, Diego G; Flores-Morales, Jeny et al. (2017) Homozygosity for the WRN Helicase-Inactivating Variant, R834C, does not confer a Werner syndrome clinical phenotype. Sci Rep 7:44081
Oshima, Junko; Sidorova, Julia M; Monnat Jr, Raymond J (2017) Werner syndrome: Clinical features, pathogenesis and potential therapeutic interventions. Ageing Res Rev 33:105-114

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