Please use this identifier to cite or link to this item: doi:10.22028/D291-35709
Volltext verfügbar? / Dokumentlieferung
Title: MicroRNA profiling from dried blood samples
Author(s): Diener, Caroline
Galata, Valentina
Keller, Andreas
Meese, Eckart
Language: English
Title: Critical Reviews in Clinical Laboratory Sciences
Volume: 56
Issue: 2
Pages: 111-117
Publisher/Platform: Taylor & Francis
Year of Publication: 2019
Publikation type: Journal Article
Abstract: MicroRNAs (miRNAs) hold great promise as blood-borne and circulating biomarkers for numerous diseases. However, the reliability of such liquid biopsies is particularly impacted by problems associated with the handling of biological liquids in the pre-analytical stage of biomarker processing. Dried blood spots (DBS) and other capillary blood microsampling devices offer a way to circumvent many of these complications. DBS are supposed to be far less sensitive to collection protocols, storage conditions, and transport processes, while offering the possibility for a decentralized sample collection. In addition, DBS are minimally invasive and require very small amounts of blood, thereby facilitating blood collection from small children or patients at risk by blood drawing. Here, we summarize the current state of knowledge about DBS-derived miRNAs. Experimental studies on miRNA from DBS especially emphasize the influence of the adsorptive material and the importance of drying and rehydration protocols. The present studies are, however, difficult to compare as they use different readout-systems, ranging from PCR-based quantification of single miRNAs to next-generation sequencing (NGS) of the entire miRNome. The data underscore the need for procedure standardization and the development of general guidelines on handling and evaluating miRNA biomarkers derived from DBS.
DOI of the first publication: 10.1080/10408363.2018.1561641
URL of the first publication: https://www.tandfonline.com/doi/full/10.1080/10408363.2018.1561641
Link to this record: hdl:20.500.11880/32575
http://dx.doi.org/10.22028/D291-35709
ISSN: 1549-781X
1040-8363
Date of registration: 11-Mar-2022
Faculty: M - Medizinische Fakultät
Department: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckhart Meese
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
There are no files associated with this item.


Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.