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Geoffrey S. Waldo

Bio: Geoffrey S. Waldo is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Green fluorescent protein & Protein folding. The author has an hindex of 35, co-authored 92 publications receiving 7346 citations. Previous affiliations of Geoffrey S. Waldo include North Carolina State University & University of Michigan.


Papers
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Journal ArticleDOI
TL;DR: A robustly folded version of GFP is generated, called 'superfolder' GFP, that folds well even when fused to poorly folded polypeptides, and shows improved tolerance of circular permutation, greater resistance to chemical denaturants and improved folding kinetics.
Abstract: Existing variants of green fluorescent protein (GFP) often misfold when expressed as fusions with other proteins. We have generated a robustly folded version of GFP, called 'superfolder' GFP, that folds well even when fused to poorly folded polypeptides. Compared to 'folding reporter' GFP, a folding-enhanced GFP containing the 'cycle-3' mutations and the 'enhanced GFP' mutations F64L and S65T, superfolder GFP shows improved tolerance of circular permutation, greater resistance to chemical denaturants and improved folding kinetics. The fluorescence of Escherichia coli cells expressing each of eighteen proteins from Pyrobaculum aerophilum as fusions with superfolder GFP was proportional to total protein expression. In contrast, fluorescence of folding reporter GFP fusion proteins was strongly correlated with the productive folding yield of the passenger protein. X-ray crystallographic structural analyses helped explain the enhanced folding of superfolder GFP relative to folding reporter GFP.

2,025 citations

Journal ArticleDOI
TL;DR: This work demonstrated that the fluorescence of Escherichia coli cells expressing GFP fusions is related to the productive folding of the upstream protein domains expressed alone, providing a simple route to improving protein folding and expression by directed evolution.
Abstract: Formation of the chromophore of green fluorescent protein (GFP) depends on the correct folding of the protein. We constructed a "folding reporter" vector, in which a test protein is expressed as an N-terminal fusion with GFP. Using a test panel of 20 proteins, we demonstrated that the fluorescence of Escherichia coli cells expressing such GFP fusions is related to the productive folding of the upstream protein domains expressed alone. We used this fluorescent indicator of protein folding to evolve proteins that are normally prone to aggregation during expression in E. coli into closely related proteins that fold robustly and are fully soluble and functional. This approach to improving protein folding does not require functional assays for the protein of interest and provides a simple route to improving protein folding and expression by directed evolution.

922 citations

Journal ArticleDOI
TL;DR: In this paper, a split GFP system is proposed to detect either soluble or insoluble proteins in living cells or cell lysates using self-associating fragments of GFP.
Abstract: Existing protein tagging and detection methods are powerful but have drawbacks. Split protein tags can perturb protein solubility or may not work in living cells. Green fluorescent protein (GFP) fusions can misfold or exhibit altered processing. Fluorogenic biarsenical FLaSH or ReASH substrates overcome many of these limitations but require a polycysteine tag motif, a reducing environment and cell transfection or permeabilization. An ideal protein tag would be genetically encoded, would work both in vivo and in vitro, would provide a sensitive analytical signal and would not require external chemical reagents or substrates. One way to accomplish this might be with a split GFP, but the GFP fragments reported thus far are large and fold poorly, require chemical ligation or fused interacting partners to force their association, or require coexpression or co-refolding to produce detectable folded and fluorescent GFP. We have engineered soluble, self-associating fragments of GFP that can be used to tag and detect either soluble or insoluble proteins in living cells or cell lysates. The split GFP system is simple and does not change fusion protein solubility.

793 citations

Journal ArticleDOI
TL;DR: This review presents methods that could be applied at the outset of any project, a prioritized list of alternate strategies and a list of pitfalls that trip many new investigators.
Abstract: In selecting a method to produce a recombinant protein, a researcher is faced with a bewildering array of choices as to where to start. To facilitate decision-making, we describe a consensus 'what to try first' strategy based on our collective analysis of the expression and purification of over 10,000 different proteins. This review presents methods that could be applied at the outset of any project, a prioritized list of alternate strategies and a list of pitfalls that trip many new investigators.

778 citations

Journal ArticleDOI
TL;DR: The large screening power of the in vivo assay combined with the high accuracy of theIn vitro assay point to the efficiency of this two-step split-GFP tool for identifying soluble clones suitable for purification and downstream applications.
Abstract: The rapid assessment of protein solubility is essential for evaluating expressed proteins and protein variants for use as reagents for downstream studies. Solubility screens based on antibody blots are complex and have limited screening capacity. Protein solubility screens using split beta-galactosidase in vivo and in vitro can perturb protein folding. Split GFP used for monitoring protein interactions folds poorly, and to overcome this limitation, we recently developed a protein-tagging system based on self-complementing split GFP derived from an exceptionally well folded variant of GFP termed 'superfolder GFP'. Here we present the step-by-step procedure of the solubility assay using split GFP. A 15-amino-acid GFP fragment, GFP 11, is fused to a test protein. The GFP 1-10 detector fragment is expressed separately. These fragments associate spontaneously to form fluorescent GFP. The fragments are soluble, and the GFP 11 tag has minimal effect on protein solubility and folding. We describe high-throughput protein solubility screens amenable both for in vivo and in vitro formats. The split-GFP system is composed of two vectors used in the same strain: pTET GFP 11 and pET GFP 1-10 (Fig. 1 and Supplementary Note online). The gene encoding the protein of interest is cloned into the pTET GFP 11 vector (resulting in an N-terminal fusion) and transformed into Escherichia coli BL21 (DE3) cells containing the pET GFP 1-10 plasmid. We also describe how this system can be used for selecting soluble proteins from a library of variants (Box 1). The large screening power of the in vivo assay combined with the high accuracy of the in vitro assay point to the efficiency of this two-step split-GFP tool for identifying soluble clones suitable for purification and downstream applications.

249 citations


Cited by
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Journal ArticleDOI
10 Mar 1970

8,159 citations

01 Aug 2000
TL;DR: Assessment of medical technology in the context of commercialization with Bioentrepreneur course, which addresses many issues unique to biomedical products.
Abstract: BIOE 402. Medical Technology Assessment. 2 or 3 hours. Bioentrepreneur course. Assessment of medical technology in the context of commercialization. Objectives, competition, market share, funding, pricing, manufacturing, growth, and intellectual property; many issues unique to biomedical products. Course Information: 2 undergraduate hours. 3 graduate hours. Prerequisite(s): Junior standing or above and consent of the instructor.

4,833 citations

Journal ArticleDOI
28 Feb 2013-Cell
TL;DR: This RNA-guided DNA recognition platform provides a simple approach for selectively perturbing gene expression on a genome-wide scale and can efficiently repress expression of targeted genes in Escherichia coli, with no detectable off-target effects.

4,282 citations

Journal ArticleDOI
TL;DR: A fully automated procedure for solving MIR and MAD structures has been developed using a scoring scheme to convert the structure-solution process into an optimization problem.
Abstract: Obtaining an electron-density map from X-ray diffraction data can be difficult and time-consuming even after the data have been collected, largely because MIR and MAD structure determinations currently require many subjective evaluations of the qualities of trial heavy-atom partial structures before a correct heavy-atom solution is obtained. A set of criteria for evaluating the quality of heavy-atom partial solutions in macromolecular crystallography have been developed. These have allowed the conversion of the crystal structure-solution process into an optimization problem and have allowed its automation. The SOLVE software has been used to solve MAD data sets with as many as 52 selenium sites in the asymmetric unit. The automated structure-solution process developed is a major step towards the fully automated structure-determination, model-building and refinement procedure which is needed for genomic scale structure determinations.

3,091 citations

Journal ArticleDOI
TL;DR: There is a need to develop an automated, rapid, robust, sensitive, and accurate comparative modeling pipeline applicable to whole genomes and to encourage new kinds of applications for the many resulting models, based on their large number and completeness at the level of the family, organism, or functional network.
Abstract: ■ Abstract Comparative modeling predicts the three-dimensional structure of a given protein sequence (target) based primarily on its alignment to one or more pro- teins of known structure (templates). The prediction process consists of fold assign- ment, target-template alignment, model building, and model evaluation. The number of protein sequences that can be modeled and the accuracy of the predictions are in- creasing steadily because of the growth in the number of known protein structures and because of the improvements in the modeling software. Further advances are nec- essary in recognizing weak sequence-structure similarities, aligning sequences with structures, modeling of rigid body shifts, distortions, loops and side chains, as well as detecting errors in a model. Despite these problems, it is currently possible to model with useful accuracy significant parts of approximately one third of all known protein sequences. The use of individual comparative models in biology is already rewarding and increasingly widespread. A major new challenge for comparative modeling is the integration of it with the torrents of data from genome sequencing projects as well as from functional and structural genomics. In particular, there is a need to develop an automated, rapid, robust, sensitive, and accurate comparative modeling pipeline applicable to whole genomes. Such large-scale modeling is likely to encourage new kinds of applications for the many resulting models, based on their large number and completeness at the level of the family, organism, or functional network.

3,085 citations