A UV/Vis Spectroscopy-Based Assay for Monitoring of Transformations Between Nucleosides and Nucleobases.

UV/Vis spectroscopy discontinuous assay enzymatic reaction monitoring nucleobases nucleosides spectral unmixing

Journal

Methods and protocols
ISSN: 2409-9279
Titre abrégé: Methods Protoc
Pays: Switzerland
ID NLM: 101720073

Informations de publication

Date de publication:
15 Jul 2019
Historique:
received: 13 06 2019
revised: 10 07 2019
accepted: 10 07 2019
entrez: 18 7 2019
pubmed: 18 7 2019
medline: 18 7 2019
Statut: epublish

Résumé

Efficient reaction monitoring is crucial for data acquisition in kinetic and mechanistic studies. However, for conversions of nucleosides to their corresponding nucleobases, as observed in enzymatically catalyzed nucleoside phosphorylation reactions, the current analytical arsenal does not meet modern requirements regarding cost, speed of analysis and high throughput. Herein, we present a UV/Vis spectroscopy-based assay employing an algorithm for spectral unmixing in a 96-well plate format. The algorithm relies on fitting of reference spectra of nucleosides and their bases to experimental spectra and allows determination of nucleoside/nucleobase ratios in solution with high precision. The experimental procedure includes appropriate dilution of a sample into aqueous alkaline solution, transfer to a multi-well plate, measurement of a UV/Vis spectrum and subsequent in silico spectral unmixing. This enables data collection in a high-throughput fashion and reduces costs compared to state-of-the-art HPLC analyses by approximately 5-fold while being 20-fold faster and offering comparable precision. Additionally, the method is robust regarding dilution and sample transfer errors as it only considers spectral form and not absolute intensity. It can be applied to all natural nucleosides and nucleobases and even unnatural ones as demonstrated by several examples.

Identifiants

pubmed: 31311105
pii: mps2030060
doi: 10.3390/mps2030060
pmc: PMC6789650
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : EXC 2008/1-390540038

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Auteurs

Felix Kaspar (F)

Bioprocess Engineering, Department of Biotechnology, Technische Universität Berlin, Ackerstraße 76, ACK24, D-13355 Berlin, Germany.

Robert T Giessmann (RT)

Bioprocess Engineering, Department of Biotechnology, Technische Universität Berlin, Ackerstraße 76, ACK24, D-13355 Berlin, Germany.

Niels Krausch (N)

Bioprocess Engineering, Department of Biotechnology, Technische Universität Berlin, Ackerstraße 76, ACK24, D-13355 Berlin, Germany.

Peter Neubauer (P)

Bioprocess Engineering, Department of Biotechnology, Technische Universität Berlin, Ackerstraße 76, ACK24, D-13355 Berlin, Germany.

Anke Wagner (A)

Bioprocess Engineering, Department of Biotechnology, Technische Universität Berlin, Ackerstraße 76, ACK24, D-13355 Berlin, Germany. anke.wagner@tu-berlin.de.
BioNukleo GmbH, Ackerstraße 76, D-13355 Berlin, Germany. anke.wagner@tu-berlin.de.

Matthias Gimpel (M)

Bioprocess Engineering, Department of Biotechnology, Technische Universität Berlin, Ackerstraße 76, ACK24, D-13355 Berlin, Germany.

Classifications MeSH