Literature DB >> 35924446

The Michigan O'Brien Kidney Research Center: transforming translational kidney research through systems biology.

Markus Bitzer1, Wenjun Ju1, Lalita Subramanian1, Jonathan P Troost2, Joseph Tychewicz1, Becky Steck1, Roger C Wiggins1, Debbie S Gipson2, Crystal A Gadegbeku3, Frank C Brosius1,4, Matthias Kretzler1, Subramaniam Pennathur1,5.   

Abstract

Research on kidney diseases is being transformed by the rapid expansion and innovations in omics technologies. The analysis, integration, and interpretation of big data, however, have been an impediment to the growing interest in applying these technologies to understand kidney function and failure. Targeting this urgent need, the University of Michigan O'Brien Kidney Translational Core Center (MKTC) and its Administrative Core established the Applied Systems Biology Core. The Core provides need-based support for the global kidney community centered on enabling incorporation of systems biology approaches by creating web-based, user-friendly analytic and visualization tools, like Nephroseq and Nephrocell, guiding with experimental design, and processing, analysis, and integration of large data sets. The enrichment core supports systems biology education and dissemination through workshops, seminars, and individualized training sessions. Meanwhile, the Pilot and Feasibility Program of the MKTC provides pilot funding to both early-career and established investigators new to the field, to integrate a systems biology approach into their research projects. The relevance and value of the portfolio of training and services offered by MKTC are reflected in the expanding community of young investigators, collaborators, and users accessing resources and engaging in systems biology-based kidney research, thereby motivating MKTC to persevere in its mission to serve the kidney research community by enabling access to state-of-the-art data sets, tools, technologies, expertise, and learning opportunities for transformative basic, translational, and clinical studies that will usher in solutions to improve the lives of people impacted by kidney disease.

Entities:  

Keywords:  acute kidney injury; chronic kidney disease; diabetic kidney disease; metabolomics; systems biology

Mesh:

Year:  2022        PMID: 35924446      PMCID: PMC9485002          DOI: 10.1152/ajprenal.00091.2022

Source DB:  PubMed          Journal:  Am J Physiol Renal Physiol        ISSN: 1522-1466


  56 in total

Review 1.  Genetic and environmental risk factors for chronic kidney disease.

Authors:  Gregorio T Obrador; Ulla T Schultheiss; Matthias Kretzler; Robyn G Langham; Masaomi Nangaku; Roberto Pecoits-Filho; Carol Pollock; Jerome Rossert; Ricardo Correa-Rotter; Peter Stenvinkel; Robert Walker; Chih-Wei Yang; Caroline S Fox; Anna Köttgen
Journal:  Kidney Int Suppl (2011)       Date:  2017-09-20

Review 2.  Genomic biomarkers for chronic kidney disease.

Authors:  Wenjun Ju; Shahaan Smith; Matthias Kretzler
Journal:  Transl Res       Date:  2012-02-09       Impact factor: 7.012

3.  Integrative biology identifies shared transcriptional networks in CKD.

Authors:  Sebastian Martini; Viji Nair; Benjamin J Keller; Felix Eichinger; Jennifer J Hawkins; Ann Randolph; Carsten A Böger; Crystal A Gadegbeku; Caroline S Fox; Clemens D Cohen; Matthias Kretzler
Journal:  J Am Soc Nephrol       Date:  2014-06-12       Impact factor: 10.121

4.  Endoplasmic reticulum-associated degradation is required for nephrin maturation and kidney glomerular filtration function.

Authors:  Sei Yoshida; Xiaoqiong Wei; Gensheng Zhang; Christopher L O'Connor; Mauricio Torres; Zhangsen Zhou; Liangguang Lin; Rajasree Menon; Xiaoxi Xu; Wenyue Zheng; Yi Xiong; Edgar Otto; Chih-Hang Anthony Tang; Rui Hua; Rakesh Verma; Hiroyuki Mori; Yang Zhang; Chih-Chi Andrew Hu; Ming Liu; Puneet Garg; Jeffrey B Hodgin; Shengyi Sun; Markus Bitzer; Ling Qi
Journal:  J Clin Invest       Date:  2021-04-01       Impact factor: 14.808

5.  Markers of early progressive renal decline in type 2 diabetes suggest different implications for etiological studies and prognostic tests development.

Authors:  Natalia Nowak; Jan Skupien; Adam M Smiles; Masayuki Yamanouchi; Monika A Niewczas; Andrzej T Galecki; Kevin L Duffin; Matthew D Breyer; Nick Pullen; Joseph V Bonventre; Andrzej S Krolewski
Journal:  Kidney Int       Date:  2018-02-02       Impact factor: 10.612

Review 6.  Systems biology approaches to identify disease mechanisms and facilitate targeted therapy in the management of glomerular disease.

Authors:  Habib Hamidi; Matthias Kretzler
Journal:  Curr Opin Nephrol Hypertens       Date:  2018-11       Impact factor: 2.894

7.  Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker.

Authors:  Wenjun Ju; Viji Nair; Shahaan Smith; Li Zhu; Kerby Shedden; Peter X K Song; Laura H Mariani; Felix H Eichinger; Celine C Berthier; Ann Randolph; Jennifer Yi-Chun Lai; Yan Zhou; Jennifer J Hawkins; Markus Bitzer; Matthew G Sampson; Martina Thier; Corinne Solier; Gonzalo C Duran-Pacheco; Guillemette Duchateau-Nguyen; Laurent Essioux; Brigitte Schott; Ivan Formentini; Maria C Magnone; Maria Bobadilla; Clemens D Cohen; Serena M Bagnasco; Laura Barisoni; Jicheng Lv; Hong Zhang; Hai-Yan Wang; Frank C Brosius; Crystal A Gadegbeku; Matthias Kretzler
Journal:  Sci Transl Med       Date:  2015-12-02       Impact factor: 17.956

8.  Association Between Urinary Epidermal Growth Factor and Renal Prognosis in Lupus Nephritis.

Authors:  Juan M Mejia-Vilet; John P Shapiro; Xiaolan L Zhang; Cristino Cruz; Grant Zimmerman; R Angélica Méndez-Pérez; Mayra L Cano-Verduzco; Samir V Parikh; Haikady N Nagaraja; Luis E Morales-Buenrostro; Brad H Rovin
Journal:  Arthritis Rheumatol       Date:  2021-01-12       Impact factor: 10.995

Review 9.  The Vanderbilt O'Brien Kidney Center.

Authors:  Ambra Pozzi; Raymond C Harris
Journal:  Am J Physiol Renal Physiol       Date:  2020-12-28

10.  Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease.

Authors:  Chengxiang Qiu; Shizheng Huang; Jihwan Park; YoSon Park; Yi-An Ko; Matthew J Seasock; Joshua S Bryer; Xiang-Xi Xu; Wen-Chao Song; Matthew Palmer; Jon Hill; Paolo Guarnieri; Julie Hawkins; Carine M Boustany-Kari; Steven S Pullen; Christopher D Brown; Katalin Susztak
Journal:  Nat Med       Date:  2018-10-01       Impact factor: 53.440

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