of Shared Resource The Bioinformatics &Biotechnology Shared Resource provides a broad range of chemistry, biomolecular, and bioinformatics services and expertise in support of Cancer Center research programs. It includes Bioinformatics, High-throughput DMA Sequencing &Genotyping, Functional Genomics, and Proteomics. Bioinformatics provides investigators with access to high-performance computing resources, bioinformatics software, a software and database development group, and a staff of 10 Ph.D.-level bioinformatics experts. High-throughput DNA Sequencing &Genotyping provides investigators with access to automated DMA sequence analysis, fragment size analysis, and SNP detection technologies. Functional Genomics provides cDNA and Affymetrix microarray services and analyses to Center investigators. Proteomics offers a range of protein chemistry capabilities including protein identification from a gel slice or spot;protein identification from a solution by LC-MS/MS;Intact mass measurement;and 2D-gel analysis. All of these resources are highly integrated and readily accessible using our Web-based on-line ordering, tracking, invoicing, and data retrieval system. In total, this shared resource staffing is now at 68 FTEs including 22 Ph.D.'s representing all disciplines encompassed by the Shared Resource.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA021765-33
Application #
8234119
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2011-03-01
Budget End
2012-02-29
Support Year
33
Fiscal Year
2011
Total Cost
$933,151
Indirect Cost
Name
St. Jude Children's Research Hospital
Department
Type
DUNS #
067717892
City
Memphis
State
TN
Country
United States
Zip Code
38105
Zheng, Daniel J; Krull, Kevin R; Chen, Yan et al. (2018) Long-term psychological and educational outcomes for survivors of neuroblastoma: A report from the Childhood Cancer Survivor Study. Cancer 124:3220-3230
Fatima, Soghra; Zhou, Sheng; Sorrentino, Brian P (2018) Marking of definitive HSC precursors in E7.5-E8.5 embryos using an Abcg2-CreER lineage-tracing mouse model. Exp Hematol 65:29-33
Chen, Wenan; Li, Yan; Easton, John et al. (2018) UMI-count modeling and differential expression analysis for single-cell RNA sequencing. Genome Biol 19:70
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Robinson, Giles W; Rudneva, Vasilisa A; Buchhalter, Ivo et al. (2018) Risk-adapted therapy for young children with medulloblastoma (SJYC07): therapeutic and molecular outcomes from a multicentre, phase 2 trial. Lancet Oncol 19:768-784
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Inaba, Hiroto; Cao, Xueyuan; Han, Alice Q et al. (2018) Bone mineral density in children with acute lymphoblastic leukemia. Cancer 124:1025-1035
Wilson, Carmen L; Howell, Carrie R; Partin, Robyn E et al. (2018) Influence of fitness on health status among survivors of acute lymphoblastic leukemia. Pediatr Blood Cancer 65:e27286
Mueller, Emily L; Park, Elyse R; Kirchhoff, Anne C et al. (2018) Insurance, chronic health conditions, and utilization of primary and specialty outpatient services: a Childhood Cancer Survivor Study report. J Cancer Surviv 12:639-646

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