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University of Michigan O'Brien Kidney Translational Core Center

University of Michigan O'Brien Kidney Translational Core Center
密歇根大学奥布莱恩肾脏转化核心中心
批准号:
10471820
负责人:
Subramaniam Pennathur
金额:
$56.49万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2023-07-31
关键词:

项目摘要

项目成果

Subramaniam Pennathur的其他基金

相关文献

中文摘要
翻译
摘要-中心概述
英文摘要
ABSTRACT – CENTER OVERVIEW In order to rapidly develop effective therapies to prevent or reverse progression of chronic kidney disease (CKD), the University of Michigan O'Brien Kidney Translational Core Center will support the full spectrum of a translational pipeline providing resources to basic and clinical investigators in our Institutional and International Research Bases using a 3-pronged approach:  Expansion of our unique CKD cohort combined with its longitudinal tissue, urine and serum biobanks to allow our research base investigators to investigate the molecular causes and endpoints of chronic kidney diseases;  Dissemination and support of the most modern and powerful systems biological approaches for research base investigators to help them effectively identify novel and robust biomarkers, endpoints and targets for diagnosis and treatment of CKD;  Expert analysis and integration of cohort and systems data for our research base investigators through the use of sophisticated bioinformatics and database integration that promote identification of specific pathways and targets for treatments for individuals or groups of subjects with CKD. The Center's aims are to: 1) Expand translational and systems biological approaches to kidney disease research by expanding the Center's CKD deep clinical phenotyping and biobanking efforts through the Clinical Phenotyping and Resource Biobank Core (C-PROBE); 2) Introduce, stimulate and apply state-of-the-art systems biological approaches to kidney disease research studies by our Institutional Research Core investigators through the use of sophisticated but user-friendly genetic, transcriptomic, proteomic, metabolomic and lipidomic approaches through the Applied Systems Biology Core; 3) Enhance the understanding of complex kidney diseases and the multi-scalar data sets that accompany systems biological approaches to their functional implications regarding kidney disease development, diagnosis, progression and therapeutic potential through the Data Analytic Services Core (DASC); 4) Expand worldwide outreach efforts via Nephroseq and tranSMART; 5) Use the Kidney Educational Enrichment Programs and the Pilot and Feasibility Program to entice trainees and faculty into kidney research and support our research bases in their ongoing kidney research.
期刊论文(269)
专著(0)
科研奖励(0)
会议论文
Comparative RNA-Seq transcriptome analyses reveal distinct metabolic pathways in diabetic nerve and kidney disease.
比较RNA-SEQ转录组分析揭示了糖尿病神经和肾脏疾病的不同代谢途径。
DOI: 10.1111/jcmm.13136
发表时间: 2017-09
期刊: Journal of cellular and molecular medicine
影响因子: 5.3
作者: [Hinder LM, Park M, Rumora AE, Hur J, Eichinger F, Pennathur S, Kretzler M, Brosius FC 3rd, Feldman EL]
通讯作者: Feldman EL
DOI: 10.1016/j.kint.2017.08.013
发表时间: 2018-03
期刊: Kidney international
影响因子: 19.6
作者: [Nair V, Komorowsky CV, Weil EJ, Yee B, Hodgin J, Harder JL, Godfrey B, Ju W, Boustany-Kari CM, Schwarz M, Lemley KV, Nelson PJ, Nelson RG, Kretzler M]
通讯作者: Kretzler M
High density lipoprotein promotes proliferation of adipose-derived stem cells via S1P1 receptor and Akt, ERK1/2 signal pathways.
高密度脂蛋白通过S1P1受体和Akt、ERK1/2信号通路促进脂肪干细胞增殖。
DOI: 10.1186/s13287-015-0090-5
发表时间: 2015-05-15
期刊: Stem cell research & therapy
影响因子: 7.5
作者: [Shen H, Zhou E, Wei X, Fu Z, Niu C, Li Y, Pan B, Mathew AV, Wang X, Pennathur S, Zheng L, Wang Y]
通讯作者: Wang Y
Perspectives on systems biology applications in diabetic kidney disease.
系统生物学在糖尿病肾病中的应用前景。
DOI: 10.1007/s12265-012-9382-7
发表时间: 2012-08
期刊: JOURNAL OF CARDIOVASCULAR TRANSLATIONAL RESEARCH
影响因子: 3.4
作者: [Komorowsky, Claudiu V., Brosius, Frank C., III, Pennathur, Subramaniam, Kretzler, Matthias]
通讯作者: Kretzler, Matthias
共 133 条
    University of Michigan O'Brien Kidney Translational Resource Center (MKTC)
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