Claudia Vickers

Dr. Claudia Vickers

orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
17 April 2009 in Nature Chemical Biology
Verified
Journal Article
Closed access
PDF file
CVClaudia Vickers
Claudia Vickers
JGJonathan Gershenzon
Jonathan Gershenzon
Manuel LerdauManuel Lerdau
Manuel Lerdau
FLFrancesco Loreto
Francesco Loreto

9 May 2019 in Nature Communications
Verified
Journal Article
Open access
PDF file
Nathan HillsonNathan Hillson
Nathan Hillson
MCMark Caddick
Mark Caddick
YCYizhi Cai
Yizhi Cai
JLJosé Antonio Carrasco Lopez
José Antonio Carrasco Lopez
MCMatthew Wook Chang
Matthew Wook Chang
PFPaul S. Freemont
Paul S. Freemont
Biofoundries provide an integrated infrastructure to enable the rapid design, construction, and testing of genetically reprogrammed organisms for biotechnology applications and research. Many biofoundries are being built and a Global Biofoundry Alliance has recently been established to coordinate activities worldwide.

7 April 2009 in Plant, Cell & Environment
Verified
Journal Article
Closed access
PDF file
CVClaudia Vickers
Claudia Vickers
MPMalcolm Possell
Malcolm Possell
CCCristian I. Cojocariu
Cristian I. Cojocariu
VVVioleta Velikova
Violeta Velikova
JLJullada Laothawornkitkul
Jullada Laothawornkitkul
CHC. Nicholas Hewitt
C. Nicholas Hewitt

26 June 2015 in Microbial Cell Factories
Verified
Journal Article
Open access
PDF file
BPBingyin Peng
Bingyin Peng
TWThomas Williams
Thomas Williams
MHMatthew Henry
Matthew Henry
LNLars Nielsen
Lars Nielsen
CVClaudia Vickers
Claudia Vickers
Predictable control of gene expression is necessary for the rational design and optimization of cell factories. In the yeast Saccharomyces cerevisiae, the promoter is one of the most important tools available for controlling gene expression. However, the complex expression patterns of yeast promoters have not been fully characterised and compared on different carbon sources (glucose, sucrose, galactose and ethanol) and across the diauxic shift in glucose batch cultivation. These conditions are of importance to yeast cell factory design because they are commonly used and encountered in industrial processes. Here, the activities of a series of “constitutive” and inducible promoters were characterised in single cells throughout the fermentation using green fluorescent protein (GFP) as a reporter. The “constitutive” promoters, including glycolytic promoters, transcription elongation factor promoters and ribosomal promoters, differed in their response patterns to different carbon sources; however, in glucose batch cultivation, expression driven by these promoters decreased sharply as glucose was depleted and cells moved towards the diauxic shift. Promoters induced at low-glucose levels (P HXT7 , P SSA1 and P ADH2 ) varied in induction strength on non-glucose carbon sources (sucrose, galactose and ethanol); in contrast to the “constitutive” promoters, GFP expression increased as glucose decreased and cells moved towards the diauxic shift. While lower than several “constitutive” promoters during the exponential phase, expression from the SSA1 promoter was higher in the post-diauxic phase than the commonly-used TEF1 promoter. The galactose-inducible GAL1 promoter provided the highest GFP expression on galactose, and the copper-inducible CUP1 promoter provided the highest induced GFP expression following the diauxic shift. The data provides a foundation for predictable and optimised control of gene expression levels on different carbon sources and throughout batch fermentation, including during and after the diauxic shift. This information can be applied for designing expression approaches to improve yields, rates and titres in yeast cell factories.

6 January 2011 in BMC Genomics
Verified
Journal Article
Open access
PDF file
CAColin T Archer
Colin T Archer
JKJihyun F Kim
Jihyun F Kim
HJHaeyoung Jeong
Haeyoung Jeong
JPJin Hwan Park
Jin Hwan Park
CVClaudia Vickers
Claudia Vickers
LNLars Nielsen
Lars Nielsen
Background: Escherichia coli is a model prokaryote, an important pathogen, and a key organism for industrial biotechnology. E. coli W (ATCC 9637), one of four strains designated as safe for laboratory purposes, has not been sequenced. E. coli W is a fast-growing strain and is the only safe strain that can utilize sucrose as a carbon source. Lifecycle analysis has demonstrated that sucrose from sugarcane is a preferred carbon source for industrial bioprocesses. Results: We have sequenced and annotated the genome of E. coli W. The chromosome is 4,900,968 bp and encodes 4,764 ORFs. Two plasmids, pRK1 (102,536 bp) and pRK2 (5,360 bp), are also present. W has unique features relative to other sequenced laboratory strains (K-12, B and Crooks): it has a larger genome and belongs to phylogroup B1 rather than A. W also grows on a much broader range of carbon sources than does K-12. A genome-scale reconstruction was developed and validated in order to interrogate metabolic properties. Conclusions: The genome of W is more similar to commensal and pathogenic B1 strains than phylogroup A strains, and therefore has greater utility for comparative analyses with these strains. W should therefore be the strain of choice, or 'type strain' for group B1 comparative analyses. The genome annotation and tools created here are expected to allow further utilization and development of E. coli W as an industrial organism for sucrose-based bioprocesses. Refinements in our E. coli metabolic reconstruction allow it to more accurately define E. coli metabolism relative to previous models.

1 October 2017 in Current Opinion in Chemical Biology
Verified
Journal Article
Closed access
CVClaudia Vickers
Claudia Vickers
TWThomas Williams
Thomas Williams
BPBingyin Peng
Bingyin Peng
JCJoel Cherry
Joel Cherry