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Biomedical subjects

Ichiro Matsumura

Publications and source records attributed to Ichiro Matsumura.

13 recordsLinked to original sources

Natural history as a predictor of protein evolvability.

Natural selection generally produces specific and efficient enzymes. In contrast, directed evolution experiments usually produce enzyme variants with broadened substrate specificity or enhanced catalytic promiscuity. Some proteins may be more evolvable than others, but few workers consider this problem when choosing starting points for laboratory evolution. Here, we review the variables associated with enzyme evolvability, namely promiscuity and mutational robustness. We present a qualitative model of adaptive evolution and recommend that protein engineers exploit their knowledge of natural history to identify evolvable wild-type proteins. Three examples of 'generalist' proteins that evolved in the laboratory into 'specialists' are described to illustrate the practical utility of this point.

Animals↗

Diversification and specialization of HIV protease function during in vitro evolution.

Our goal is to understand how enzymes adapt to utilize novel substrates. We and others have shown that directed evolution tends to generate enzyme variants with broadened substrate specificity. Broad-specificity enzymes are generally deleterious to living cells, so this observed trend might be an artifact of the most commonly employed high throughput screens. Here, we demonstrate a more natural and effective screening strategy for directed evolution. The gene encoding model enzyme HIV protease was randomly mutated, and the resulting library was expressed in Escherichia coli cells to eliminate cytotoxic broad-specificity variants. The surviving variants were screened for clones with activity against a reporter enzyme. The wild-type human immunodeficiency virus type I protease (HIV PR) is cytotoxic and exhibits no detectable activity in reactions with beta-galactosidase (BGAL). In contrast, the selected variants were nontoxic and exhibited greater activity and specificity against BGAL than did the wild-type HIV PR in reactions with any substrate. A single round of whole gene random mutagenesis and conventional high-throughput screening does not usually effect complete inversions of substrate specificity. This suggests that a combination of positive and purifying selection engenders more rapid adaptation than positive selection alone.

Adaptation, Biological↗

Directed evolution of RuBisCO hypermorphs through genetic selection in engineered E.coli.

The Calvin Cycle is the primary conduit for the fixation of carbon dioxide into the biosphere; ribulose 1,5-bisphosphate carboxylase/oxygenase (RuBisCO) catalyzes the rate-limiting fixation step. Our goal is to direct the evolution of RuBisCO variants with improved kinetic and biophysical properties. The Calvin Cycle was partially reconstructed in Escherichia coli; the engineered strain requires the Synechococcus PCC6301 RuBisCO for growth in minimal media supplemented with a pentose. We randomly mutated the gene encoding the large subunit of RuBisCO (rbcL), co-expressed the resulting library with the small subunit (rbcS) and the Synechococcus PCC7492 phosphoribulokinase (prkA), and selected hypermorphic variants. The RuBisCO variants that evolved during three rounds of random mutagenesis and selection were over-expressed, and exhibited 5-fold improvement in specific activity relative to the wild-type enzyme. These results demonstrate a new strategy for the artificial selection of RuBisCO and other non-native metabolic enzymes.

Blotting, Western↗

HIV protease-activated molecular switches based on beta-glucuronidase and alkaline phosphatase.

Our long-term goal is to direct the evolution of novel protease variants. To this end we have engineered a new type of protease-activated reporter enzyme. Many protease-activated enzymes evolved in nature, but the introduction of novel regulatory mechanisms into normally unregulated enzymes poses a difficult design challenge. Random Elongation Mutagenesis [1] was used to fuse the p6 peptide, which is recognized and cleaved by HIV protease, and twelve random sequence amino acids to the C-termini of beta-glucuronidase (GUS) and alkaline phosphatase (AP). The resulting GUS-p6-(NNN)12 and AP-p6-(NNN)12 libraries were expressed in E. coli and screened for clones that were inactivated by the C-terminal extension (tail). The inactivated clones were co-expressed with HIV protease, and those that were re-activated were isolated. The AP and GUS activities of the most responsive clones were each >3.5-fold higher when co-expressed with HIV protease, and this activation is correlated with in vivo proteolysis. It should be possible to generalize this strategy to different reporter enzymes, different target proteases, and perhaps to other types of protein-modifying enzymes.

Alkaline Phosphatase↗

Simulation modeling of pooling for combinatorial protein engineering.

Pooling in directed-evolution experiments will greatly increase the throughput of screening systems, but important parameters such as the number of good mutants created and the activity level increase of the good mutants will depend highly on the protein being engineered. The authors developed and validated a Monte Carlo simulation model of pooling that allows the testing of various scenarios in silico before starting experimentation. Using a simplified test system of 2 enzymes, betagalactosidase (supermutant, or greatly improved enzyme) and beta-glucuronidase (dud, or enzyme with ancestral level of activity), the model accurately predicted the number of supermutants detected in experiments within a factor of 2. Additional simulations using more complex activity distributions show the versatility of the model. Pooling is most suited to cases such as the directed evolution of new function in a protein, where the background level of activity is minimized, making it easier to detect small increases in activity level. Pooling is most successful when a sensitive assay is employed. Using the model will increase the throughput of screening procedures for directed-evolution experiments and thus lead to speedier engineering of proteins.

Cells, Cultured↗

Site-saturation mutagenesis is more efficient than DNA shuffling for the directed evolution of beta-fucosidase from beta-galactosidase.

Protein engineers use a variety of mutagenic strategies to adapt enzymes to novel substrates. Directed evolution techniques (random mutagenesis and high-throughput screening) offer a systematic approach to the management of protein complexity. This sub-discipline was galvanized by the invention of DNA shuffling, a procedure that randomly recombines point mutations in vitro. In one influential study, Escherichia coli beta-galactosidase (BGAL) variants with enhanced beta-fucosidase activity (tenfold increase in k(cat)/K(M) in reactions with the novel para-nitrophenyl-beta-d-fucopyranoside substrate; 39-fold decrease in reactivity with the "native"para-nitrophenyl-beta-d-galactopyranoside substrate) were evolved in seven rounds of DNA shuffling and screening. Here, we show that a single round of site-saturation mutagenesis and screening enabled the identification of beta-fucosidases that are significantly more active (180-fold increase in k(cat)/K(M) in reactions with the novel substrate) and specific (700,000-fold inversion of specificity) than the best variants in the previous study. Site-saturation mutagenesis thus proved faster, less resource-intensive and more effective than DNA shuffling for this particular evolutionary pathway.

Base Sequence↗

Rational design of p53, an intrinsically unstructured protein, for the fabrication of novel molecular sensors.

The dominant paradigm of protein engineering is structure-based site-directed mutagenesis. This rational approach is generally more effective for the engineering of local properties, such as substrate specificity, than global ones such as allostery. Previous workers have modified normally unregulated reporter enzymes, including beta-galactosidase, alkaline phosphatase, and beta-lactamase, so that the engineered versions are activated (up to 4-fold) by monoclonal antibodies. A reporter that could easily be "reprogrammed" for the facile detection of novel effectors (binding or modifying activities) would be useful in high throughput screens for directed evolution or drug discovery. Here we describe a straightforward and general solution to this potentially difficult design problem. The transcription factor p53 is normally regulated by a variety of post-translational modifications. The insertion of peptides into intrinsically unstructured domains of p53 generated variants that were activated up to 100-fold by novel effectors (proteases or antibodies). An engineered p53 was incorporated into an existing high throughput screen for the detection of human immunodeficiency virus protease, an arbitrarily chosen novel effector. These results suggest that the molecular recognition properties of intrinsically unstructured proteins are relatively easy to engineer and that the absence of crystal structures should not deter the rational engineering of this class of proteins.

Alkaline Phosphatase↗

Whole plasmid mutagenic PCR for directed protein evolution.

Protein function can be engineered through iterated cycles of random mutagenesis and screening (directed evolution). Optimization of protein expression is essential for the development of sensitive and precise high throughput assays. Here we optimize the performance of a plasmid-borne Escherichia coli lacZ gene in two rounds of directed evolution. First, its promoter was "randomized" by whole plasmid polymerase chain reaction (PCR) and intra-molecular self-ligation. A genetically stable constitutive expression vector was isolated in an in vivo genetic selection. Second, the entire plasmid was randomly mutated in a slightly mutagenic long polymerase chain reaction. The PCR products were digested with a restriction enzyme, self-ligated by T4 DNA ligase and transformed into E. coli. The resulting library of beta-galactosidase (beta-gal) mutants consisted mostly ( approximately 80%) of hypomorphs, suggesting that the mutation rate was appropriate for directed evolution applications. We isolated and characterized 14 variants with increased activity in reactions with 5-bromo-4-chloro-3-indolyl-beta-d-galactopyranoside (X-gal). The purified protein derived from one clone exhibited a 100-fold improvement in k(cat) over its parent in reactions with para-nitrophenyl-beta-d-galactopyranoside (pNP-gal). This latter result clearly demonstrates the utility of whole plasmid mutagenic PCR for directed protein evolution.

Cloning, Molecular↗

Rapid evolution of beta-glucuronidase specificity by saturation mutagenesis of an active site loop.

Protein engineers have widely adopted directed evolution as a design algorithm, but practitioners have not come to a consensus about the best method to evolve protein molecular recognition. We previously used DNA shuffling to direct the evolution of Escherichia coli beta-glucuronidase (GUS) variants with increased beta-galactosidase activity. Epistatic (synergistic) mutations in amino acids 557, 566, and 568, which are part of an active site loop, were identified in that experiment (Matsumura, I., and Ellington, A. D. (2001) J. Mol. Biol. 305, 331-339). Here we show that site saturation mutagenesis of these residues, overexpression of the resulting library in E. coli, and high throughput screening led to the rapid evolution of clones exhibiting increased activity in reactions with p-nitrophenyl-beta-d-xylopyranoside (pNP-xyl). The xylosidase activities of the 14 fittest clones were 30-fold higher on average than that of the wild-type GUS. The 14 corresponding plasmids were pooled, amplified by long PCR, self-ligated with T4 DNA ligase, and transformed into E. coli. Thirteen clones exhibiting an average of 80-fold improvement in xylosidase activity were isolated in a second round of screening. One of the evolved proteins exhibited a approximately 200-fold improvement over the wild type in reactivity (k(cat)/K(m)) with pNP-xyl, with a 290,000-fold inversion of specificity. Sequence analysis of the 13 round 2 isolates suggested that all were products of intermolecular recombination events that occurred during whole plasmid PCR. Further rounds of evolution using DNA shuffling and staggered extension process (StEP) resulted in modest improvement. These results underscore the importance of epistatic interactions and demonstrate that they can be optimized through variations of the facile whole plasmid PCR technique.

Algorithms↗

A comparison of directed evolution approaches using the beta-glucuronidase model system.

Protein engineers can alter the properties of enzymes by directing their evolution in vitro. Many methods to generate molecular diversity and to identify improved clones have been developed, but experimental evolution remains as much an art as a science. We previously used DNA shuffling (sexual recombination) and a histochemical screen to direct the evolution of Escherichia coli beta-glucuronidase (GUS) variants with improved beta-galactosidase (BGAL) activity. Here, we employ the same model evolutionary system to test the efficiencies of several other techniques: recursive random mutagenesis (asexual), combinatorial cassette mutagenesis (high-frequency recombination) and a versatile high-throughput microplate screen. GUS variants with altered specificity evolved in each trial, but different combinations of mutagenesis and screening techniques effected the fixation of different beneficial mutations. The new microplate screen identified a broader set of mutations than the previously employed X-gal colony screen. Recursive random mutagenesis produced essentially asexual populations, within which beneficial mutations drove each other into extinction (clonal interference); DNA shuffling and combinatorial cassette mutagenesis led instead to the accumulation of beneficial mutations within a single allele. These results explain why recombinational approaches generally increase the efficiency of laboratory evolution.

Directed Molecular Evolution↗

Pooling for improved screening of combinatorial libraries for directed evolution.

Following diversity generation in combinatorial protein engineering, a significant amount of effort is expended in screening the library for improved variants. Pooling, or combining multiple cells into the same assay well when screening, is a means to increase throughput and screen a larger portion of the library with less time and effort. We have developed and validated a Monte Carlo simulation model of pooling and used it to screen a library of beta-galactosidase mutants randomized in the active site to increase their activity toward fucosides. Here, we show that our model can successfully predict the number of highly improved mutants obtained via pooling and that pooling does increase the number of good mutants obtained. In unpooled conditions, we found a total of three mutants with higher activity toward p-nitrophenyl-beta-D-fucoside than that of the wild-type beta-galactosidase, whereas when pooling 10 cells per well we found a total of approximately 10 improved mutants. In addition, the number of "supermutants", those with the highest activity increase, was also higher when pooling was used. Pooling is a useful tool for increasing the efficiency of screening combinatorial protein engineering libraries.

Binding Sites↗