DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
08 10 2019
Historique:
entrez: 29 10 2019
pubmed: 29 10 2019
medline: 27 6 2020
Statut: epublish

Résumé

DNA primase synthesizes short RNA primers that initiate DNA synthesis of Okazaki fragments on the lagging strand by DNA polymerase during DNA replication. The binding of prokaryotic DnaG-like primases to DNA occurs at a specific trinucleotide recognition sequence. It is a pivotal step in the formation of Okazaki fragments. Conventional biochemical tools that are used to determine the DNA recognition sequence of DNA primase provide only limited information. Using a high-throughput microarray-based binding assay and consecutive biochemical analyses, it has been shown that 1) the specific binding context (flanking sequences of the recognition site) influences the binding strength of the DNA primase to its template DNA, and 2) stronger binding of primase to the DNA yields longer RNA primers, indicating higher processivity of the enzyme. This method combines PBM and primase activity assay and is designated as high-throughput primase profiling (HTPP), and it allows characterization of specific sequence recognition by DNA primase in unprecedented time and scalability.

Identifiants

pubmed: 31657797
doi: 10.3791/59737
doi:

Substances chimiques

RNA primers 0
RNA 63231-63-0
DNA 9007-49-2
DNA Primase EC 2.7.7.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Stefan Ilic (S)

Department of Chemistry, Ben-Gurion University of the Negev.

Shira Cohen (S)

Department of Chemistry, Ben-Gurion University of the Negev.

Ariel Afek (A)

Center for Genomic and Computational Biology, Department of Biostatistics and Bioinformatics, Duke University.

Raluca Gordan (R)

Center for Genomic and Computational Biology, Department of Biostatistics and Bioinformatics, Duke University.

David B Lukatsky (DB)

Department of Chemistry, Ben-Gurion University of the Negev.

Barak Akabayov (B)

Department of Chemistry, Ben-Gurion University of the Negev; akabayov@bgu.ac.il.

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Classifications MeSH