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SorTn-seq: a high-throughput functional genomics approach to discovering regulators of bacterial gene expression.
Smith, Leah M; Jackson, Simon A; Gardner, Paul P; Fineran, Peter C.
Afiliação
  • Smith LM; Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.
  • Jackson SA; Department of Microbiology and Immunology, University of Otago, Dunedin, New Zealand.
  • Gardner PP; Genetics Otago, University of Otago, Dunedin, New Zealand.
  • Fineran PC; Genetics Otago, University of Otago, Dunedin, New Zealand.
Nat Protoc ; 16(9): 4382-4418, 2021 09.
Article em En | MEDLINE | ID: mdl-34349283
ABSTRACT
We recently developed a high-throughput functional genomics approach, named 'SorTn-seq', to identify factors affecting expression of any gene of interest in bacteria. Our approach facilitates high-throughput screening of complex mutant pools, a task previously hindered by a lack of suitable techniques. SorTn-seq combines high-density, Tn5-like transposon mutagenesis with fluorescence-activated cell sorting of a strain harboring a promoter-fluorescent reporter fusion, to isolate mutants with altered gene expression. The transposon mutant pool is sorted into different bins on the basis of fluorescence, and mutants are deep-sequenced to identify transposon insertions. DNA is prepared for sequencing by using commercial kits augmented with custom primers, enhancing ease of use and reproducibility. Putative regulators are identified by comparing the number of insertions per genomic feature in the different sort bins, by using existing bioinformatic pipelines and software packages. SorTn-seq can be completed in 1-2 weeks and requires general microbiology skills and basic flow cytometry experience.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regulação Bacteriana da Expressão Gênica / Genômica / Ensaios de Triagem em Larga Escala Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Regulação Bacteriana da Expressão Gênica / Genômica / Ensaios de Triagem em Larga Escala Idioma: En Ano de publicação: 2021 Tipo de documento: Article