Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Müller, H; Dagher, G; Loibner, M; Stumptner, C; Kungl, P; Zatloukal, K.
Biobanks for life sciences and personalized medicine: importance of standardization, biosafety, biosecurity, and data management.
Curr Opin Biotechnol. 2020; 65(4):45-51
Doi: 10.1016/j.copbio.2019.12.004
[OPEN ACCESS]
Web of Science
PubMed
FullText
FullText_MUG
- Führende Autor*innen der Med Uni Graz
- Müller Heimo
- Zatloukal Kurt
- Co-Autor*innen der Med Uni Graz
- Dagher Georges
- Kungl Penelope
- Loibner Martina
- Stumptner Cornelia
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- Biological samples such as tissues, blood and other body fluids, plants or seeds, prokaryotic and eukaryotic cells or isolated biomolecules as well as associated data are the essential raw material for research and development in medicine, biotechnology and agriculture. The collection, processing, preservation, and storage of these resources, in addition to provision of access, are key activities of biobanks or biological resource centres. Biobanks have to ensure proper quality of samples and data, ethical and legal compliance as well as transparent and efficient access procedures. In this context the review places special emphasis on pre-analytical procedures and international standards, which are essential to improving analytical data reliability and reproducibility, as well as on the increasing importance of data management. These requirements of biobanks are demonstrated using the example of pathogen-containing and microbiome biobanks, and refer to needs in cancer research and development. Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.
- Find related publications in this database (using NLM MeSH Indexing)
- Biological Science Disciplines -
- Biological Specimen Banks -
- Biomedical Research -
- Containment of Biohazards -
- Data Management -
- Precision Medicine -
- Reference Standards -
- Reproducibility of Results -