Comparison of urinary extracellular vesicle isolation methods for transcriptomic biomarker research in diabetic kidney disease-Reference-Cited by-同舟云学术

Comparison of urinary extracellular vesicle isolation methods for transcriptomic biomarker research in diabetic kidney disease

Published:2020-12 Issue:2 Volume:10 Page:
ISSN:2001-3078
Container-title:Journal of Extracellular Vesicles
language:en
Short-container-title:Journal of Extracellular Vesicles

Author:

Barreiro Karina¹,Dwivedi Om Prakash¹,Leparc German²,Rolser Marcel²,Delic Denis²³,Forsblom Carol⁴⁵⁶,Groop Per‐Henrik⁴⁵⁶⁷,Groop Leif¹,Huber Tobias B.⁸,Puhka Maija¹,Holthofer Harry¹⁸

Affiliation:

1. Institute for Molecular Medicine Finland FIMM University of Helsinki Helsinki Finland

2. Boehringer Ingelheim Pharma GmbH & Co. KG Biberach Germany

3. Fifth Department of Medicine (Nephrology/Endocrinology/Rheumatology), University Medical Centre Mannheim University of Heidelberg Heidelberg Germany

4. Folkhälsan Institute of Genetics Folkhälsan Research Center Helsinki Finland

5. Abdominal Center, Nephrology University of Helsinki and Helsinki University Hospital Helsinki Finland

6. Research Program for Clinical and Molecular Metabolism, Faculty of Medicine University of Helsinki Helsinki Finland

7. Department of Diabetes, Central Clinical School Monash University Melbourne VIC Australia

8. III Department of Medicine University Medical Center Hamburg‐Eppendorf Hamburg Germany

Funder

Innovative Medicines Initiative

Academy of Finland

Publisher

Wiley

Subject

Cell Biology,Histology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jev2.12038

Reference60 articles.

1. Blood contains circulating cell‐free respiratory competent mitochondria

2. Differential expression analysis for sequence count data

3. Extracellular vesicle measurements with nanoparticle tracking analysis – An accuracy and repeatability comparison between NanoSight NS300 and ZetaView

4. Urinary extracellular vesicles. A promising shortcut to novel biomarker discoveries

5. Isolating Urinary Extracellular Vesicles as Biomarkers for Diabetic Disease

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