3.6 High Throughput Analytic Core Dr. Churchill will lead the High Throughput Analytic (HTA) Core. The function of this Core is to coordinate phenotyping activities that span multiple projects to ensure uniformity, efficient use of resources and flexibility in light of rapidly changing technology. The Core extensively leverages Jackson Scientific Services. Dr. Churchill helped to establish the Gene Expression (GES) and Computational Sciences (CS) Services and will work closely with these groups to ensure that services are delivered efficiently at low cost and that the best available technologies are being used to deliver high quality data. The coordination between GES and CS has evolved to be very effective for data management and delivery. The Core will provide access to three critical technologies: RNAseq, targeted metabolite profiling, and high-density SNP genotyping, and it will serve to coordinate the common phenotyping protocols for mice in Projects B, C and D.

Agency
National Institute of Health (NIH)
Type
Specialized Center (P50)
Project #
5P50GM076468-09
Application #
8691883
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
Budget End
Support Year
9
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Jackson Laboratory
Department
Type
DUNS #
City
Bar Harbor
State
ME
Country
United States
Zip Code
04609
Chesler, Elissa J; Gatti, Daniel M; Morgan, Andrew P et al. (2016) Diversity Outbred Mice at 21: Maintaining Allelic Variation in the Face of Selection. G3 (Bethesda) 6:3893-3902
Korstanje, Ron; Deutsch, Konstantin; Bolanos-Palmieri, Patricia et al. (2016) Loss of Kynurenine 3-Mono-oxygenase Causes Proteinuria. J Am Soc Nephrol 27:3271-3277
Morgan, Andrew P; Holt, J Matthew; McMullan, Rachel C et al. (2016) The Evolutionary Fates of a Large Segmental Duplication in Mouse. Genetics 204:267-85
Chick, Joel M; Munger, Steven C; Simecek, Petr et al. (2016) Defining the consequences of genetic variation on a proteome-wide scale. Nature 534:500-5
Gu, Tongjun; Gatti, Daniel M; Srivastava, Anuj et al. (2016) Genetic Architectures of Quantitative Variation in RNA Editing Pathways. Genetics 202:787-98
Morgan, Andrew P; Didion, John P; Doran, Anthony G et al. (2016) Whole Genome Sequence of Two Wild-Derived Mus musculus domesticus Inbred Strains, LEWES/EiJ and ZALENDE/EiJ, with Different Diploid Numbers. G3 (Bethesda) 6:4211-4216
Tyler, Anna L; Donahue, Leah Rae; Churchill, Gary A et al. (2016) Weak Epistasis Generally Stabilizes Phenotypes in a Mouse Intercross. PLoS Genet 12:e1005805
Parvanov, Emil D; Tian, Hui; Billings, Timothy et al. (2016) PRDM9 interactions with other proteins provide a link between recombination hotspots and the chromosomal axis in meiosis. Mol Biol Cell :
Walker, Michael; Billings, Timothy; Baker, Christopher L et al. (2015) Affinity-seq detects genome-wide PRDM9 binding sites and reveals the impact of prior chromatin modifications on mammalian recombination hotspot usage. Epigenetics Chromatin 8:31
Bogue, Molly A; Churchill, Gary A; Chesler, Elissa J (2015) Collaborative Cross and Diversity Outbred data resources in the Mouse Phenome Database. Mamm Genome 26:511-20

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