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TISSUE MICROARRAY

$121,816P30FY2016CANIH

Johns Hopkins University, Baltimore MD

Investigators

Linked publications, trials & patents

Trial NCT02989636Trial NCT02516670Trial NCT02491411Trial NCT02489357Trial NCT02029950Trial NCT01935947Trial NCT01870596Trial NCT01783171Trial NCT01757639Trial NCT01578109Trial NCT01349972Trial NCT01349959Trial NCT01330173Trial NCT01264432Trial NCT01207726Trial NCT01207687Trial NCT01139970Trial NCT01132573Trial NCT01061749Trial NCT00971737Trial NCT00963807Trial NCT00899951Trial NCT00899548Trial NCT00898482Trial NCT00897338Trial NCT00897273Trial NCT00847171Trial NCT00795002Trial NCT00727441Trial NCT00673569Trial NCT00670917Trial NCT00660348Trial NCT00641303Trial NCT00641147Trial NCT00631137Trial NCT00616967Trial NCT00602771Trial NCT00588991Trial NCT00566098Trial NCT00524017Trial NCT00499733Trial NCT00499486Trial NCT00493025Trial NCT00492921Trial NCT00489281Trial NCT00478062Trial NCT00478010Trial NCT00471653Trial NCT00470093Trial NCT00469820Trial NCT00445484Trial NCT00433472Trial NCT00425477Trial NCT00407966Trial NCT00401024Trial NCT00389610Trial NCT00387465Trial NCT00381550Trial NCT00373191Trial NCT00369681Trial NCT00368914Trial NCT00363649Trial NCT00361296Trial NCT00356928Trial NCT00354640Trial NCT00343447Trial NCT00336063Trial NCT00334542Trial NCT00324870Trial NCT00313560Trial NCT00311623Trial NCT00305760Trial NCT00303927Trial NCT00293410Trial NCT00293397Trial NCT00293280Trial NCT00290732Trial NCT00287989Trial NCT00287872Trial NCT00281970Trial NCT00281866Trial NCT00278200Trial NCT00278161Trial NCT00278109Trial NCT00276744Trial NCT00276601Trial NCT00276588Trial NCT00274768Trial NCT00265915Trial NCT00265837Trial NCT00262834Trial NCT00258206Trial NCT00258180Trial NCT00255775Trial NCT00255710Trial NCT00245115Trial NCT00244959Trial NCT00242996Trial NCT00238368Trial NCT00238277

Abstract

The Tissue Microarray (TMA) Core facility shared resource provides a number of technologies, services and scientific consultation to support the research of the Sidney Kimmel Comprehensive Cancer Center (SKCCC) members and other Johns Hopkins University and outside investigators. In addition to TMA-related services, the laboratory has recently added routine histology services as well as consultations in and performance of immunohistochemistry (IHC) and multi-label immunofluorescence (IF) staining. The addition of these services and key personnel with vital expertise in these areas has greatly expanded the capabilities of this facility and markedly enhances the ability of SKCCC and other researchers to perform critically needed tissue leased biomarker studies. The TMA Lab has constructed 654 TMAs for 49 investigators containing 93,706 tissue Cores from 10,362 patient specimens containing tumors from the prostate, breast, pancreas, gall bladder, cervix, ovary, brain, liver, urinary bladder, salivary glands, esophagus, head and neck, thyroid and various cell lines and xenografts. Users have published more than 80 manuscripts involving this resource since the last funding period began. Instrumentation and expertise is available to automatically capture high resolution digital images of both standard histology/IHC based slides and TMA slides and the Core has greatly improved its capabilities in quantitative image analysis. Users have access to a set of Open Source web based software tools and backend database (TMAJ) that were developed to facilitate all facets of research involving TMA technology from TMA design, data entry, image diagnosis, image analysis, and publishing on the Internet. The Specific Aims of this Shared Resource are to support and speed translational cancer research by : 1) continuing to guide production of and produce TMAs for SKCCC members and others using human surgical and autopsy specimens, human specimens from clinical trials, xenografts, animal tissue specimens and cell lines as needed; 2) providing scientific consultations and services for routine histology and IHC/IF for novel cancer-associated biomarkers; 3) t continuing to evaluate and update new TMA construction and slide scanning and image analyzis platforms; 4) enhancing the Core's information technology platform to improve ease of use sharing of information. Lay: Our shared resource provides technology and expertise to facilitate all aspects of tissue based biomarker translational research on human biospecimens. This allows SKCCC investigators to more rapidly develop biomarkers and to help translate these biomarkers into tools that will help doctors better care for cancer patients.

View original record on NIH RePORTER →
TISSUE MICROARRAY · GrantIndex