The Molecular Genomics Core Facility provides a centralized resource for the molecular analysis of the genome and transcriptome of cells and tissues. Analysis can occur at the level of a single nucleotide, a single molecule, and a single sample or involve multiple nucleotides, multiple molecules, and multiple samples. The laboratory offers single molecule sequencing, PCR-based analysis of genes and transcripts, and microarray based analysis of transcriptomes and genomes. In this era of high content analysis the goal is to economically measure the highest combination of nucleotides, molecules, and samples. As a centralized facility for all levels of assessment the laboratory provides the expertise required to determine the best technology to use for a research objective. The laboratory also provides expertise in the isolation, preservation, and handling of nucleic acids and training in the use of basic bioinformatics software needed to assess experimental data, access web resources, or perform follow-up investigations. Molecular Genomics Core represents the integration of complementary platforms through a single access point. The core merges the Microarray Core and the Molecular Biology Core as submitted at the last renewal. New equipment and services since the last renewal includes: an ABI 7900 Real Time PCR machine, a Agilent Surescan High-resolution DNA microarray scanner, an Xceed Molecular Ziplex microarray system, the lllumina HiScanSQ system, microarray-based for ChlP-on-ChIP experiements, expanded genotyping and mutational analysis options, and implementation of a LIMS system. The Core requests CCSG Support of $264,488, which is 30% of its operational budget. Over 92% of usage is by Moffitt members and peer-reviewed.

Public Health Relevance

The core provides an efficient and essential resource for Moffitt Members to analyze changes in gene/genomes and epigenetie factors. The Molecular Genomics Core has contributed greatly to the scientific investigations occurring at the Cancer Center and contributed to science on a national level.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA076292-15
Application #
8495975
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2013-02-01
Budget End
2014-01-31
Support Year
15
Fiscal Year
2013
Total Cost
$95,639
Indirect Cost
$38,880
Name
H. Lee Moffitt Cancer Center & Research Institute
Department
Type
DUNS #
139301956
City
Tampa
State
FL
Country
United States
Zip Code
33612
Persi, Erez; Duran-Frigola, Miquel; Damaghi, Mehdi et al. (2018) Systems analysis of intracellular pH vulnerabilities for cancer therapy. Nat Commun 9:2997
Kim, Youngchul; Pierce, Christine M; Robinson, Lary A (2018) Impact of viral presence in tumor on gene expression in non-small cell lung cancer. BMC Cancer 18:843
Chen, Yan; Zhu, Jin-Yi; Hong, Kwon Ho et al. (2018) Structural Basis of ALDH1A2 Inhibition by Irreversible and Reversible Small Molecule Inhibitors. ACS Chem Biol 13:582-590
Rosenberger, Albert; Hung, Rayjean J; Christiani, David C et al. (2018) Genetic modifiers of radon-induced lung cancer risk: a genome-wide interaction study in former uranium miners. Int Arch Occup Environ Health 91:937-950
Hoffman, Melissa A; Fang, Bin; Haura, Eric B et al. (2018) Comparison of Quantitative Mass Spectrometry Platforms for Monitoring Kinase ATP Probe Uptake in Lung Cancer. J Proteome Res 17:63-75
Kahen, Elliot John; Brohl, Andrew; Yu, Diana et al. (2018) Neurofibromin level directs RAS pathway signaling and mediates sensitivity to targeted agents in malignant peripheral nerve sheath tumors. Oncotarget 9:22571-22585
Gonzalez, Brian D; Small, Brent J; Cases, Mallory G et al. (2018) Sleep disturbance in men receiving androgen deprivation therapy for prostate cancer: The role of hot flashes and nocturia. Cancer 124:499-506
Puri, Sonam; Hyland, Kelly A; Weiss, Kristine Crowe et al. (2018) Prediction of chemotherapy-induced nausea and vomiting from patient-reported and genetic risk factors. Support Care Cancer 26:2911-2918
Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430
Eroglu, Zeynep; Zaretsky, Jesse M; Hu-Lieskovan, Siwen et al. (2018) High response rate to PD-1 blockade in desmoplastic melanomas. Nature 553:347-350

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