The purpose of the Tissue Core (TC) is to help the facilitate the scientific needs of peer-reviewed. Cancer Center investigators by providing a collection of centralized services and technologies focused around high quality, richly-annotated human biospecimens. The TC is organized in four distinct operational sections that provide end-to-end biorepository services required for the collection, processing, annotation, storage and ultimate release of biospecimens. The TC-lntake &Acquisition section is responsible for the collection and initial annotation and de-identification of biospecimens for investigator driven and general banking protocols. The TC-Sample Processing Lab provides a wide variety of biospecimen processing services ranging from processing of blood to extraction of nucleic acids. The TC-Research Histology Services section supports CCSG investigators by offering basic histology services, research focused immunohistochemistry and construction of Tissue Microarray. The TC-Lifetime Cancer Screening operates as a Tissue Core satellite facility at the Center's Lifetime Cancer Screening and Prevention Center. The technical staff is responsible for operating and maintaining core instrumentation and technology. Over the last grant period, the Core established sophisticated, state-of-the-science technologies to support Immunohistochemistry (Ventana Discovery Automated System), automated, high-throughput nucleic acid extraction systems, (Qiagen) and most recently a Shared Instrumentation Grant funded automated freezer system. A new biospecimen inventory management system (LabVantage Biobanking) was also launched. The new LabVantage Biobanking system provides centralized comprehensive sample management, consent verification and biospecimen de-identification allowing the core to effectively serve as an institutional Honest Broker. Access to biospecimens and Tissue Core services are governed by regularly updated biospecimen collection and utilization policies and well-defined chargeback mechanism. Collectively, all four TC sections are heavily utilized by all 5 research programs and provide support for over 90 investigator-initiated protocols. The Core requests CCSG Support of $400,966, which is 24% of its operational budget. Over 75% of total users are Moffitt members and peer-reviewed.
With highly trained staff, the Tissue Core provides Moffitt members with a state-of-the-art centralized biorepository, processing and histology services to conduct extensive cancer research. The significant investment in infrastructure as well as state of the art equipment and instrumentation provides a large and efficient biospecimen resource for Moffitt members.
|Porubsky, Caitlin; Teer, Jamie K; Zhang, Yonghong et al. (2018) Genomic analysis of a case of agminated Spitz nevi and congenital-pattern nevi arising in extensive nevus spilus. J Cutan Pathol 45:180-183|
|Ji, Xuemei; Bossé, Yohan; Landi, Maria Teresa et al. (2018) Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 9:3221|
|Sun, X; Ren, Y; Gunawan, S et al. (2018) Selective inhibition of leukemia-associated SHP2E69K mutant by the allosteric SHP2 inhibitor SHP099. Leukemia 32:1246-1249|
|Li, Yafang; Xiao, Xiangjun; Han, Younghun et al. (2018) Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population. Carcinogenesis 39:336-346|
|Zhu, Genyuan; Nemoto, Satoshi; Mailloux, Adam W et al. (2018) Induction of Tertiary Lymphoid Structures With Antitumor Function by a Lymph Node-Derived Stromal Cell Line. Front Immunol 9:1609|
|Huang, Qingling; Chen, Lihong; Yang, Leixiang et al. (2018) MDMX acidic domain inhibits p53 DNA binding in vivo and regulates tumorigenesis. Proc Natl Acad Sci U S A 115:E3368-E3377|
|Liu, Ying; Wang, Hua; Li, Qian et al. (2018) Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study. Radiology 286:298-306|
|Padron, Eric; Ball, Markus C; Teer, Jamie K et al. (2018) Germ line tissues for optimal detection of somatic variants in myelodysplastic syndromes. Blood 131:2402-2405|
|Karolak, Aleksandra; Markov, Dmitry A; McCawley, Lisa J et al. (2018) Towards personalized computational oncology: from spatial models of tumour spheroids, to organoids, to tissues. J R Soc Interface 15:|
|Lee, Morgan S; Tyson, Dinorah Martinez; Gonzalez, Brian D et al. (2018) Anxiety and depression in Spanish-speaking Latina cancer patients prior to starting chemotherapy. Psychooncology 27:333-338|
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