INFRASTRUCTURE 1: CORE RESEARCH LABORATORIES

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This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The purpose of the CBR/RCMI Core Facility at Tuskegee University is to facilitate multidisciplinary research for investigators using Microscopy/Imaging, Flow Cytometry, Cell Culture and Molecular Biology, and Bioinformatics and Computational Biology. the Core Facility has provided service and assistance to users representing 3 academic colleges and 9 scientific disciplines. These investigators published or submitted 4 peer reviewed papers and presented 5 papers or posters. The Imaging Facility is used by the largest number of investigators while the Cell Culture and Molecular Biology facilities continue to accumulate the most "man hours" of use. Fluorescence microscopy, with the addition of a Q Imaging CE digital camera, operating through C Imaging Systems Simple PCI software, has been used by several investigators. Additionally, this camera should allow the recording of chemoluminescent gels without the use of radiographic film. Molecular biology capabilities have been significantly enhanced through the purchase of several state of the art instruments. These include a BIO-TEK SYNERGY HT microplate reader, which reads 6-to-384 well plates and performs fluorescence, absorbance and luminescence measurements. An Eppendorf Mastercycler has been added updating conventional PCR. A Cepheid Smartcycler 2 has been purchased and provides outstanding Real-time PCR capabilities. The instrument employs 4 optical channels; emissions range from 510 nm to 750 nm. These channels permit simultaneous detection of four "probes". The instrument provides real-time display of growth curves, temperature profiles, and melting curves with qualitative, quantitative, and growth curve analysis. The Bioinformatics and Computational Biology Facility strives to increase participation of faculty in bioinformatics and computational biology research through the use of web based infrastructure, especially in genomics and proteomics. We continue to update software from Accelrys.