Biomedical subjects

Curt Fischer

Publications and source records attributed to Curt Fischer.

3 recordsLinked to original sources

PubMed2007

Engineering promoter regulation.

Systems for easily controlled, conditional induction or repression of gene expression are indispensable tools in fundamental research and industrial-scale biotechnological applications. Both native and rationally designed inducible promoters have been widely used for this purpose. However, inherent regulation modalities or toxic, expensive or inconvenient inducers can impose limitations on their use. Tailored promoters with user-specified regulatory properties would permit sophisticated manipulations of gene expression. Here, we report a generally applicable strategy for the directed evolution of promoter regulation. Specifically, we applied random mutagenesis and a multi-stage flow cytometry screen to isolate mutants of the oxygen-responsive Saccharomyces cerevisiae DAN1 promoter. Two mutants were isolated which were induced under less-stringent anaerobiosis than the wild-type promoter enabling induction of gene expression in yeast fermentations simply by oxygen depletion during cell growth. Moreover, the engineered promoters showed a markedly higher maximal expression than the unmutated DAN1 promoter, under both fastidious anaerobiosis and microaerobisois.

Aerobiosis↗

PubMed2006

Identifying functionally important mutations from phenotypically diverse sequence data.

Here we present a simple statistical method to determine the phenotypic contribution of a single mutation from libraries of mutants with diverse phenotypes in which each mutant contains a multitude of mutations. The central premise of this method is that, given M phenotypic classes, mutations that do not affect the phenotype should partition among the M classes according to a multinomial distribution. Deviations from this distribution are indicative of a link between specific mutations and phenotypes. We suggest that this method will aid the engineering of functional nucleic acids, proteins, and other biomolecules by uncovering target sites for rational mutagenesis. As a proof of the principle, we show how the method can be used to deduce the individual effects of mutations in a set of 69 P(L)-lambda promoter variants. Each of these promoters was generated by error-prone PCR and incorporated numerous mutations. The activity of the promoters was assayed using flow cytometry to measure the fluorescence of a green fluorescent protein reporter gene. Our analysis of the sequences of these mutants revealed seven positions having a statistically significant correlation with promoter activity. Using site-directed mutagenesis, we constructed point mutations for several sites, both statistically significant and insignificant, and combinations of these sites. Our results show that the statistical method correctly elucidated the phenotypic manifestations of these mutations. We suggest that this method may be useful for expediting directed evolution experiments by allowing both desired and undesired mutations to be identified and incorporated between rounds of mutagenesis.

Base Sequence↗

PubMed2005

Tuning genetic control through promoter engineering.

Gene function is typically evaluated by sampling the continuum of gene expression at only a few discrete points corresponding to gene knockout or overexpression. We argue that this characterization is incomplete and present a library of engineered promoters of varying strengths obtained through mutagenesis of a constitutive promoter. A multifaceted characterization of the library, especially at the single-cell level to ensure homogeneity, permitted quantitative assessment correlating the effect of gene expression levels to improved growth and product formation phenotypes in Escherichia coli. Integration of these promoters into the chromosome can allow for a quantitative accurate assessment of genetic control. To this end, we used the characterized library of promoters to assess the impact of phosphoenolpyruvate carboxylase levels on growth yield and deoxy-xylulose-P synthase levels on lycopene production. The multifaceted characterization of promoter strength enabled identification of optimal expression levels for ppc and dxs, which maximized the desired phenotype. Additionally, in a strain preengineered to produce lycopene, the response to deoxy-xylulose-P synthase levels was linear at all levels tested, indicative of a rate-limiting step, unlike the parental strain, which exhibited an optimum expression level, illustrating that optimal gene expression levels are variable and dependent on the genetic background of the strain. This promoter library concept is illustrated as being generalizable to eukaryotic organisms (Saccharomyces cerevisiae) and thus constitutes an integral platform for functional genomics, synthetic biology, and metabolic engineering endeavors.

Escherichia coli↗