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. Our understanding and our ability to cope with many biomedical problems will be improved through better application of information technology. Application of this technology enables the collection, manipulation and organization of massive datasets, the development of new computer software for processing data, and the development of better mathematical models and simulations to replace and/or improve our experiments. To address these needs we are continuing to develop a Computational Research Laboratory (CRL). In addition to increasing our use of information technology, the CRL provides support for the training of informatics scientists to perform research into basic informatics problems and to apply informatics to any area of biomedicine, including clinical medicine, basic biomedical research, health services research, public health, professional education, and administration.
The specific aims of the project are to: 1) establish protocols for maintaining, managing, and sharing biomedical research related datasets, 2) strengthen the research capabilities of TSU faculty and students, by providing them with research and training activities in computational research, 3) enhance data mining and data visualization capabilities of TSU faculty and students and 4) develop a collaborative computation-based research network among RCMI and non-RCMI investigators engaged in biomedical and behavioral research.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Research Centers in Minority Institutions Award (G12)
Project #
5G12RR003045-19
Application #
7336019
Study Section
National Center for Research Resources Initial Review Group (RIRG)
Project Start
2006-08-01
Project End
2007-07-31
Budget Start
2006-08-01
Budget End
2007-07-31
Support Year
19
Fiscal Year
2006
Total Cost
$54,831
Indirect Cost
Name
Texas Southern University
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
050298975
City
Houston
State
TX
Country
United States
Zip Code
77004
Oloyo, Ahmed K; Sofola, Olusoga A; Yakubu, Momoh A (2016) Orchidectomy attenuates high-salt diet-induced increases in blood pressure, renovascular resistance, and hind limb vascular dysfunction: role of testosterone. Clin Exp Pharmacol Physiol 43:825-33
Oyagbemi, Ademola Adetokunbo; Omobowale, Temidayo Olutayo; Adedapo, Adeolu Alex et al. (2016) Kolaviron, Biflavonoid Complex from the Seed of Garcinia kola Attenuated Angiotensin II- and Lypopolysaccharide-induced Vascular Smooth Muscle Cell Proliferation and Nitric Oxide Production. Pharmacognosy Res 8:S50-5
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Wang, Yan; Ye, Yuanqing; Lin, Jie et al. (2015) Genetic variants in matrix metalloproteinase genes as disposition factors for ovarian cancer risk, survival, and clinical outcome. Mol Carcinog 54:430-9
Liang, Su; Sanchez-Espiridion, Beatriz; Xie, Huan et al. (2015) Determination of proline in human serum by a robust LC-MS/MS method: application to identification of human metabolites as candidate biomarkers for esophageal cancer early detection and risk stratification. Biomed Chromatogr 29:570-7
Jimenez, Angelica; Adisa, Afolabi; Woodham, Cara et al. (2014) Determination of polycyclic aromatic hydrocarbons in roasted coffee. J Environ Sci Health B 49:828-35
Bell, Edward C; John, Mathew; Hughes, Rodney J et al. (2014) Ultra-performance liquid chromatographic determination of tocopherols and retinol in human plasma. J Chromatogr Sci 52:1065-70
Meng, Qing H; Xu, Enping; Hildebrandt, Michelle A T et al. (2014) Genetic variants in the fibroblast growth factor pathway as potential markers of ovarian cancer risk, therapeutic response, and clinical outcome. Clin Chem 60:222-32
Liang, Su; Bian, Xiaomei; Sivils, Jeffrey et al. (2014) Quantification of a New Anti-Cancer Molecule MJC13 Using a Rapid, Sensitive, and Reliable Liquid Chromatography-Tandem Mass Spectrometry Method. Am J Mod Chromatogr 1:1-11

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