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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Reid-Bayliss, Kate S; Loeb, Lawrence A (2017) Accurate RNA consensus sequencing for high-fidelity detection of transcriptional mutagenesis-induced epimutations. Proc Natl Acad Sci U S A 114:9415-9420
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
Yuan, Zixu; Baker, Kelsey; Redman, Mary W et al. (2017) Dynamic plasma microRNAs are biomarkers for prognosis and early detection of recurrence in colorectal cancer. Br J Cancer 117:1202-1210
Poole, William; Leinonen, Kalle; Shmulevich, Ilya et al. (2017) Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression. PLoS Comput Biol 13:e1005347
Fu, Wenqing; Ligabue, Alessio; Rogers, Kai J et al. (2017) Human RECQ Helicase Pathogenic Variants, Population Variation and ""Missing"" Diseases. Hum Mutat 38:193-203
Beckman, Robert A; Loeb, Lawrence A (2017) Evolutionary dynamics and significance of multiple subclonal mutations in cancer. DNA Repair (Amst) 56:7-15
Fox, Edward J; Salk, Jesse J; Loeb, Lawrence A (2016) Exploring the implications of distinct mutational signatures and mutation rates in aging and cancer. Genome Med 8:30
Tokita, Mari; Kennedy, Scott R; Risques, Rosa Ana et al. (2016) Werner syndrome through the lens of tissue and tumour genomics. Sci Rep 6:32038
Reid-Bayliss, Kate S; Arron, Sarah T; Loeb, Lawrence A et al. (2016) Why Cockayne syndrome patients do not get cancer despite their DNA repair deficiency. Proc Natl Acad Sci U S A 113:10151-6

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