Parts Characterization for Tunable Protein Expression

Research output: Chapter in Book/Report/Conference proceedingBook chapter – Annual report year: 2018Researchpeer-review

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Flow-seq combines flexible genome engineering methods with flow cytometry-based cell sorting and deep DNA sequencing to enable comprehensive interrogation of genotype to phenotype relationships. One application is to study the effect of specific regulatory elements on protein expression. Constructing targeted genomic variation around genomically integrated fluorescent marker genes enables rapid elucidation of the contribution of specific sequence variants to protein expression. Such an approach can be used to characterize the impact of modifications to the Shine-Dalgarno sequence in Escherichia coli.
Original languageEnglish
Title of host publicationSynthetic Metabolic Pathways
Volume1671
Publication date2018
Pages3-14
ISBN (Print)978-1-4939-7294-4
ISBN (Electronic)978-1-4939-7295-1
DOIs
Publication statusPublished - 2018
SeriesMethods in Molecular Biology
ISSN1064-3745
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Flow cytometry cell sorting, Flow-seq, Next-generation sequencing, Shine-Dalgarno sequence

ID: 140017900