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John E. Dueber

Researcher at University of California, Berkeley

Publications -  63
Citations -  7002

John E. Dueber is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: CRISPR & Metabolic engineering. The author has an hindex of 28, co-authored 60 publications receiving 5800 citations. Previous affiliations of John E. Dueber include Lawrence Berkeley National Laboratory & Energy Biosciences Institute.

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Synthetic protein scaffolds provide modular control over metabolic flux

TL;DR: In this article, synthetic protein scaffolds bearing interaction domains from metazoan signaling proteins were used to spatially recruit metabolic enzymes in a designable manner, and the modularity of these domains enabled them to optimize the stoichiometry of three mevalonate biosynthetic enzymes recruited to a synthetic complex.
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Engineering Complex Synthetic Transcriptional Programs with CRISPR RNA Scaffolds

TL;DR: By extending guide RNAs to include effector protein recruitment sites, this work constructs modular scaffold RNAs that encode both target locus and regulatory action and applies this approach to flexibly redirect flux through a complex branched metabolic pathway in yeast.
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A Highly Characterized Yeast Toolkit for Modular, Multipart Assembly

TL;DR: A versatile engineering platform for yeast, which contains both a rapid, modular assembly method and a basic set of characterized parts, and genome-editing tools for making modifications directly to the yeast chromosomes, which the authors find preferable to plasmids due to reduced variability in expression.
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BglBricks: A flexible standard for biological part assembly

TL;DR: The BglBrick standard provides a new, more flexible platform from which to generate standard biological parts and automate DNA assembly, and is demonstrated in three distinct applications, including the construction of constitutively active gene expression devices with a wide range of expression profiles.
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Selection of chromosomal DNA libraries using a multiplex CRISPR system

TL;DR: Mutations recovered in the best cellodextrin transporters reveal synergy between substrate binding and transporter dynamics, and demonstrate the power of CRISPRm to accelerate selection experiments and discoveries of the molecular determinants that enhance biomolecule function.