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Dataset on CRISPR/Cas9 system targeting hydrogenase genes in Rhodobacter johrii MAY2 isolate.
Barcelo, Leo Agustin F; Lantican, Nacita B; Manalang, Aprill P; Ventura, Jey-R S.
Affiliation
  • Barcelo LAF; Biomaterials and Environmental Engineering Laboratory, Department of Engineering Science, College of Engineering and Agro-Industrial Technology, University of the Philippines Los Baños, College, Laguna 4031 Philippines.
  • Lantican NB; Microbiology Division, Institute of Biological Sciences, College of Arts and Sciences, University of the Philippines Los Baños, College, Laguna 4031 Philippines.
  • Manalang AP; Genetics and Molecular Biology Division, Institute of Biological Sciences, College of Arts and Sciences, University of the Philippines Los Baños, College, Laguna 4031 Philippines.
  • Ventura JS; Biomaterials and Environmental Engineering Laboratory, Department of Engineering Science, College of Engineering and Agro-Industrial Technology, University of the Philippines Los Baños, College, Laguna 4031 Philippines.
Data Brief ; 53: 110237, 2024 Apr.
Article de En | MEDLINE | ID: mdl-38533121
ABSTRACT
This dataset contains the gene sequences of the small and large sub-unit of the hydrogenase enzyme obtained from the annotated genome of Rhodobacter johrii MAY2. The whole genome sequence of the isolate was performed using SEED genome viewer on the Rapid Annotation using the Subsystem Technology (RAST) platform. Concurrently, guide RNA sequences and primers were meticulously crafted using the CHOPCHOP v.3.0 web tool, specifically designed for the precise editing and amplification of the target genes. The primers were optimized via gradient PCR to determine appropriate amplification conditions. Furthermore, the guide RNA was tested via in-vitro cleavage assay, gauging its efficacy in cleaving the intended target genes. The dataset, including the optimization and the cleavage assay, was deposited in Mendeley Data with DOI no 10.17632/rcx3mcssnx.2.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Data Brief Année: 2024 Type de document: Article Pays de publication: Pays-Bas

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Data Brief Année: 2024 Type de document: Article Pays de publication: Pays-Bas