Analytical techniques for multiplex analysis of protein biomarkers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F20%3A73601661" target="_blank" >RIV/61989592:15110/20:73601661 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/14789450.2020.1763174" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/14789450.2020.1763174</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/14789450.2020.1763174" target="_blank" >10.1080/14789450.2020.1763174</a>
Alternative languages
Result language
angličtina
Original language name
Analytical techniques for multiplex analysis of protein biomarkers
Original language description
ntroduction: The importance of biomarkers for pharmaceutical drug development and clinical diagnostics is more significant than ever in the current shift toward personalized medicine. Biomarkers have taken a central position either as companion markers to support drug development and patient selection, or as indicators aiming to detect the earliest perturbations indicative of disease, minimizing therapeutic intervention or even enabling disease reversal. Protein biomarkers are of particular interest given their central role in biochemical pathways. Hence, capabilities to analyze multiple protein biomarkers in one assay are highly interesting for biomedical research. Areas covered: We here review multiple methods that are suitable for robust, high throughput, standardized, and affordable analysis of protein biomarkers in a multiplex format. We describe innovative developments in immunoassays, the vanguard of methods in clinical laboratories, and mass spectrometry, increasingly implemented for protein biomarker analysis. Moreover, emerging techniques are discussed with potentially improved protein capture, separation, and detection that will further boost multiplex analyses. Expert commentary: The development of clinically applied multiplex protein biomarker assays is essential as multi-protein signatures provide more comprehensive information about biological systems than single biomarkers, leading to improved insights in mechanisms of disease, diagnostics, and the effect of personalized medicine.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10608 - Biochemistry and molecular biology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Expert Review of Proteomics
ISSN
1478-9450
e-ISSN
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Volume of the periodical
17
Issue of the periodical within the volume
4
Country of publishing house
GB - UNITED KINGDOM
Number of pages
17
Pages from-to
257-273
UT code for WoS article
000536384300001
EID of the result in the Scopus database
2-s2.0-85085325196