Universität zu Köln

Saez-Rodriguez, Julio ORCID: 0000-0002-8552-8976, Rinschen, Markus M., Floege, Juergen and Kramann, Rafael (2019). Big science and big data in nephrology. Kidney Int., 95 (6). S. 1326 - 1338. NEW YORK: ELSEVIER SCIENCE INC. ISSN 1523-1755

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Abstract

There have been tremendous advances during the last decade in methods for large-scale, high-throughput data generation and in novel computational approaches to analyze these datasets. These advances have had a profound impact on biomedical research and clinical medicine. The field of genomics is rapidly developing toward single-cell analysis, and major advances in proteomics and metabolomics have been made in recent years. The developments on wearables and electronic health records are poised to change clinical trial design. This rise of 'big data' holds the promise to transform not only research progress, but also clinical decision making towards precision medicine. To have a true impact, it requires integrative and multi-disciplinary approaches that blend experimental, clinical and computational expertise across multiple institutions. Cancer research has been at the forefront of the progress in such large-scale initiatives, so-called 'big science,' with an emphasis on precision medicine, and various other areas are quickly catching up. Nephrology is arguably lagging behind, and hence these are exciting times to start (or redirect) a research career to leverage these developments in nephrology. In this review, we summarize advances in big data generation, computational analysis, and big science initiatives, with a special focus on applications to nephrology.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Saez-Rodriguez, Julio UNSPECIFIED orcid.org/0000-0002-8552-8976 UNSPECIFIED Rinschen, Markus M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Floege, Juergen UNSPECIFIED UNSPECIFIED UNSPECIFIED Kramann, Rafael UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-146659
DOI:	10.1016/j.kint.2018.11.048
Journal or Publication Title:	Kidney Int.
Volume:	95
Number:	6
Page Range:	S. 1326 - 1338
Date:	2019
Publisher:	ELSEVIER SCIENCE INC
Place of Publication:	NEW YORK
ISSN:	1523-1755
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language B MEMBER 9; KIDNEY-DISEASE; SPATIAL TRANSCRIPTOMICS; DIABETIC-NEPHROPATHY; PRECISION MEDICINE; ANALYSIS REVEALS; SINGLE CELLS; RNA-SEQ; EXPRESSION; HEALTH Multiple languages Urology & Nephrology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/14665