Genetic Code Expansion Research Articles

Unboxing the treasure chest: tinkering proteins beyond the natural repertoire

Proteins are the molecular machineries of life, and engineering them in order to probe and tailor biological function has long remained pure imagination. Cracking the genetic code, the blueprint of proteins, gave the spark to turn precise protein engineering into reality, and even to explore new designer genetic codes. Organisms in all kingdoms of life evolved a highly similar genetic code, which defines how genetic information is translated into proteins. Only a small set of 20 so-called canonical amino acids are used by ribosomes to build proteins. Is the genetic code in this form key to all lives, no matter where in the universe it evolved? Already on Earth we find two powerful exceptions. Selenocysteine represents the 21st canonical amino acid and can even be found in some human proteins. Pyrrolysine is termed the 22nd proteogenic amino acid and has been identified, e.g., in archaeal organisms that grow in anaerobic environments, such as the sludge of a lake or the paunch of a cow. So if one could expand the genetic code even further, proteins could be generated consisting partially or even entirely of artificial amino acid polymers, giving rise to a large diversity of novel natural and unnatural functions. In fact, this future is already present, with genetic code expansion representing a powerful technique which allows to equip proteins with hundreds of non-canonical amino acids, including ones that do not exist in nature. This opens a treasure chest of entirely new protein structures and functionalities. Despite the great potential for biotechnology and medicine, installing a new genetic code, especially in human cells, still bears major challenges. Our laboratory, among others, strives to develop new strategies to expand the genetic code inside of living cells and, at the same time, maintain their native genetic code. Come and join us for this brief journey through the milestones of protein engineering, up to the latest breakthroughs in encoding non-natural chemical properties, and you may get as excited as we are about where protein engineering is heading in the upcoming years.

Genetic Incorporation of Non-canonical Amino Acids in Anti-HER2 VHH: Expression and Characterization

Genetic Incorporation of Non-canonical Amino Acids in Anti-HER2 VHH: Expression and Characterization

Constructing Photoactivatable Protein with Genetically Encoded Photocaged Glutamic Acid

AbstractGenetically replacing an essential residue with the corresponding photocaged analogues via genetic code expansion (GCE) constitutes a useful and unique strategy to directly and effectively generate photoactivatable proteins. However, the application of this strategy is severely hampered by the limited number of encoded photocaged proteinogenic amino acids. Herein, we report the genetic incorporation of photocaged glutamic acid analogues in E. coli and mammalian cells and demonstrate their use in constructing photoactivatable variants of various fluorescent proteins and SpyCatcher. We believe genetically encoded photocaged Glu would significantly promote the design and application of photoactivatable proteins in many areas.

Constructing Photoactivatable Protein with Genetically Encoded Photocaged Glutamic Acid.

Genetically replacing an essential residue with the corresponding photocaged analogues via genetic code expansion (GCE) constitutes a useful and unique strategy to directly and effectively generate photoactivatable proteins. However, the application of this strategy is severely hampered by the limited number of encoded photocaged proteinogenic amino acids. Herein, we report the genetic incorporation of photocaged glutamic acid analogues in E. coli and mammalian cells and demonstrate their use in constructing photoactivatable variants of various fluorescent proteins and SpyCatcher. We believe genetically encoded photocaged Glu would significantly promote the design and application of photoactivatable proteins in many areas.

Extensive breaking of genetic code degeneracy with non-canonical amino acids

Genetic code expansion (GCE) offers many exciting opportunities for the creation of synthetic organisms and for drug discovery methods that utilize in vitro translation. One type of GCE, sense codon reassignment (SCR), focuses on breaking the degeneracy of the 61 sense codons which encode for only 20 amino acids. SCR has great potential for genetic code expansion, but extensive SCR is limited by the post-transcriptional modifications on tRNAs and wobble reading of these tRNAs by the ribosome. To better understand codon-tRNA pairing, here we develop an assay to evaluate the ability of aminoacyl-tRNAs to compete with each other for a given codon. We then show that hyperaccurate ribosome mutants demonstrate reduced wobble reading, and when paired with unmodified tRNAs lead to extensive and predictable SCR. Together, we encode seven distinct amino acids across nine codons spanning just two codon boxes, thereby demonstrating that the genetic code hosts far more re-assignable space than previously expected, opening the door to extensive genetic code engineering.

Bioorthogonal Caging-Group-Free Photoactivatable Probes for Minimal-Linkage-Error Nanoscopy.

Here we describe highly compact, click compatible, and photoactivatable dyes for super-resolution fluorescence microscopy (nanoscopy). By combining the photoactivatable xanthone (PaX) core with a tetrazine group, we achieve minimally sized and highly sensitive molecular dyads for the selective labeling of unnatural amino acids introduced by genetic code expansion. We exploit the excited state quenching properties of the tetrazine group to attenuate the photoactivation rates of the PaX, and further reduce the overall fluorescence emission of the photogenerated fluorophore, providing two mechanisms of selectivity to reduce the off-target signal. Coupled with MINFLUX nanoscopy, we employ our dyads in the minimal-linkage-error imaging of vimentin filaments, demonstrating molecular-scale precision in fluorophore positioning.

Machine Learning Enables Prediction of Pyrrolysyl-tRNA Synthetase Substrate Specificity.

Knowledge about the substrate scope for a given enzyme is informative for elucidating biochemical pathways and also for expanding applications of the enzyme. However, no general methods are available to accurately predict the substrate specificity of an enzyme. Pyrrolysyl-tRNA synthetase (PylRS) is a powerful tool for incorporating various noncanonical amino acids (NCAAs) into proteins, which enabled us to probe, image, rationally engineer, and evolve protein structure and function. However, the incorporation of a new NCAA typically requires the selection of large libraries of PylRS with randomized mutations at active sites, and this process requires multiple rounds of selection for each new substrate. Therefore, a single aminoacyl-tRNA synthetase with broad substrate promiscuity is ideal to facilitate widespread applications of the genetic NCAA incorporation technique. Herein, machine learning models were developed to predict the substrate specificity of PylRS to accept novel NCAAs that could be incorporated into proteins by three PylRS mutants. The models were built from a training set of 285 unique enzyme-substrate pairs of three PylRS mutants including IFRS, BtaRS, and MFRS against 95 NCAAs. The best BaggingTree (BT) model was then used for virtually screening a NCAAs library containing 1474 phenylalanine, tyrosine, tryptophan, and alanine analogues, and 156 NCAAs were predicted to be accepted by at least one of the three PylRS mutants. Then, 27 NCAAs including 24 positive and 3 negative substrates were experimentally tested for their activities, and 20 of the 24 positive substrates showed weak or strong activity and were accepted by at least one PylRS mutant, among which 11 NCAAs were never reported to be incorporated into proteins before. Three negative substrates did not show any activity. Experimental results suggested that the BT model provides a three-class classification accuracy of 0.69 and a binary classification accuracy of 0.86. This study expanded the substrate scope of three PylRS variants and provided a framework for developing machine learning models to predict substrate specificity of other PylRS variants.

Photo-Methionine, Azidohomoalanine and Homopropargylglycine Are Incorporated into Newly Synthesized Proteins at Different Rates and Differentially Affect the Growth and Protein Expression Levels of Auxotrophic and Prototrophic E. coli in Minimal Medium.

Residue-specific incorporation of non-canonical amino acids (ncAAs) introduces bio-orthogonal functionalities into proteins. As such, this technique is applied in protein characterization and quantification. Here, we studied protein expression with three methionine analogs, namely photo-methionine (pMet), azidohomoalanine (Aha) and homopropargylglycine (Hpg), in prototrophic E. coli BL-21 and auxotrophic E. coli B834 to maximize ncAA content, thereby assessing the effect of ncAAs on bacterial growth and the expression of cytochrome b5 (b5M46), green fluorescence protein (MBP-GFP) and phage shock protein A. In auxotrophic E. coli, ncAA incorporation ranged from 50 to 70% for pMet and reached approximately 50% for Aha, after 26 h expression, with medium and low expression levels of MBP-GFP and b5M46, respectively. In the prototrophic strain, by contrast, the protein expression levels were higher, albeit with a sharp decrease in the ncAA content after the first hours of expression. Similar expression levels and 70-80% incorporation rates were achieved in both bacterial strains with Hpg. Our findings provide guidance for expressing proteins with a high content of ncAAs, highlight pitfalls in determining the levels of methionine replacement by ncAAs by MALDI-TOF mass spectrometry and indicate a possible systematic bias in metabolic labeling techniques using Aha or Hpg.

Genetic Encoding of Arylazopyrazole Phenylalanine for Optical Control of Translation.

An arylazopyrazole was explored for its use as an enhanced photoswitchable amino acid in genetic code expansion. This new unnatural amino acid was successfully incorporated into proteins in both bacterial and mammalian cells. While photocontrol of translation required pulsed irradiations, complete selectivity for the trans-configuration by the pyrrolysyl tRNA synthetase was observed, demonstrating expression of a gene of interest selectively controlled via light exposure.

4D Biochemical Photocustomization of Hydrogel Scaffolds for Biomimetic Tissue Engineering.

Programmable engineered tissues and the materials that support them are instrumental to the development of next-generation therapeutics and gaining new understanding of human biology. Toward these ends, recent years have brought a growing emphasis on the creation of "4D" hydrogel culture platforms-those that can be customized in 3D space and on demand over time. Many of the most powerful 4D-tunable biomaterials are photochemically regulated, affording users unmatched spatiotemporal modulation through high-yielding, synthetically tractable, and cytocompatible reactions. Precise physicochemical manipulation of gel networks has given us the ability to drive critical changes in cell fate across a diverse range of distance and time scales, including proliferation, migration, and differentiation through user-directed intracellular and intercellular signaling. This Account provides a survey of the numerous creative approaches taken by our lab and others to recapitulate the dynamically heterogeneous biochemistry underpinning in vivo extracellular matrix (ECM)-cell interactions via light-based network (de)decoration with biomolecules (e.g., peptides, proteins) and in situ protein activation/generation. We believe the insights gained from these studies can motivate disruptive improvements to emerging technologies, including low-variability organoid generation and culture, high-throughput drug screening, and personalized medicine. As photolithography and chemical modification strategies continue to mature, access to and control over new and increasingly complex biological pathways are being unlocked. The earliest hydrogel photopatterning efforts selectively encapsulated bioactive peptides and drugs into rudimentary gel volumes. Through continued exploration and refinement, next-generation materials now boast reversible, multiplexed, and/or Boolean logic-based biomolecule presentation, as well as functional activation at subcellular resolutions throughout 3D space. Lithographic hardware and software technologies, particularly those enabling image-guided patterning, allow researchers to precisely replicate complex biological structures within engineered tissue environments. The advent of bioorthogonal click chemistries has expanded 4D tissue engineering toolkits, permitting diverse constructs to be independently customized in the vicinity of any cell that is amenable to hydrogel-based culture. Additionally, the adoption of modern protein engineering techniques including genetic code expansion and chemoenzymatic alteration provides a roadmap toward site-specific modification of nearly any recombinant or isolated protein, affording installation of photoreactive and click handles without sacrificing their bioactivity. While the established bind, release, (de)activate paradigm in hydrogel photolithography continues to thrive alongside these modern engineering techniques, new studies are also demonstrating photocontrol of more complex or nonclassical operations, including engineered material-microorganism interfaces and functional protein photoassembly. Such creative approaches offer exciting new avenues for the field, including spatial control of on-demand biomolecule production from cellular depots and patterned bioactivity using a growing array of split protein pairs. Taken together, these technologies provide the foundation for truly biomimetic photopatterning of engineered tissues.

Manipulating Cation-π Interactions of Reader Proteins in Living Cells with Genetic Code Expansion.

Despite tremendous success in understanding the chemical nature and the importance of cation-π interactions in a range of biological processes, particularly in epigenetic regulation, the design and synthesis of stronger cation-π interactions in living cells remain largely elusive. Here, we design several electron-rich Trp derivatives and incorporate them into histone methylation reader domains to enhance the affinity of the reader domains for histone methylation marks via cation-π interactions in living cells. We show that this site-specific Trp replacement strategy is generally applicable for the engineering of high-affinity reader domains for the major histone H3 trimethylation marks, such as H3K4me3, H3K9me3, H3K27me3, and H3K36me3, with high specificity. Furthermore, we demonstrate that engineered reader domains can serve as powerful tools for the enrichment and imaging of histone methylation, as well as for capturing the protein interactome at chromatin marks in living cells. Therefore, our study paves the way for the design of enhanced cation-π interactions in reader proteins in living cells for various biological applications.

Genetically Encoded Crosslinking Enables Identification of Multivalent Ubiquitin-Deubiquitylating Enzyme Interactions.

Ubiquitin (Ub) proteoforms control nearly every aspect of eukaryotic cell biology through their diversity. Inspired by the widely used Ub C-terminal electrophiles (Ub-E), here we report the identification of multivalent binding of Ub with deubiquitylating enzymes (Dubs) using genetic code expansion (GCE) and crosslinking mass spectrometry. While the Ub-Es only gather structural information with the S1 Dub sites, we demonstrate that GCE of Ub with p-benzoyl-L-phenylalanine enables identification of interaction modes beyond the S1 site with a panel of Dubs of both eukaryotic and prokaryotic origin. Collectively, this represents the next generation of Ub-based affinity probes with a unique ability to unravel Ub interaction landscapes beyond what is afforded by cysteine-based chemistries.

Regulation of IL-24/IL-20R2 complex formation using photocaged tyrosines and UV light.

Human interleukin 24 (IL-24) is a multifunctional cytokine that represents an important target for autoimmune diseases and cancer. Since the biological functions of IL-24 depend on interactions with membrane receptors, on-demand regulation of the affinity between IL-24 and its cognate partners offers exciting possibilities in basic research and may have applications in therapy. As a proof-of-concept, we developed a strategy based on recombinant soluble protein variants and genetic code expansion technology to photocontrol the binding between IL-24 and one of its receptors, IL-20R2. Screening of non-canonical ortho-nitrobenzyl-tyrosine (NBY) residues introduced at several positions in both partners was done by a combination of biophysical and cell signaling assays. We identified one position for installing NBY, tyrosine70 of IL-20R2, which results in clear impairment of heterocomplex assembly in the dark. Irradiation with 365-nm light leads to decaging and reconstitutes the native tyrosine of the receptor that can then associate with IL-24. Photocaged IL-20R2 may be useful for the spatiotemporal control of the JAK/STAT phosphorylation cascade.

Establishing the fundamental rules for genetic code expansion.

Establishing the fundamental rules for genetic code expansion.

Dual Noncanonical Amino Acid Incorporation Enabling Chemoselective Protein Modification at Two Distinct Sites in Yeast.

Incorporation of more than one noncanonical amino acid (ncAA) within a single protein endows the resulting construct with multiple useful features such as augmented molecular recognition or covalent cross-linking capabilities. Herein, for the first time, we demonstrate the incorporation of two chemically distinct ncAAs into proteins biosynthesized in Saccharomyces cerevisiae. To complement ncAA incorporation in response to the amber (TAG) stop codon in yeast, we evaluated opal (TGA) stop codon suppression using three distinct orthogonal translation systems. We observed selective TGA readthrough without detectable cross-reactivity from host translation components. Readthrough efficiency at TGA was modulated by factors including the local nucleotide environment, gene deletions related to the translation process, and the identity of the suppressor tRNA. These observations facilitated systematic investigation of dual ncAA incorporation in both intracellular and yeast-displayed protein constructs, where we observed efficiencies up to 6% of wild-type protein controls. The successful display of doubly substituted proteins enabled the exploration of two critical applications on the yeast surface─(A) antigen binding functionality and (B) chemoselective modification with two distinct chemical probes through sequential application of two bioorthogonal click chemistry reactions. Lastly, by utilizing a soluble form of a doubly substituted construct, we validated the dual incorporation system using mass spectrometry and demonstrated the feasibility of conducting selective labeling of the two ncAAs sequentially using a "single-pot" approach. Overall, our work facilitates the addition of a 22nd amino acid to the genetic code of yeast and expands the scope of applications of ncAAs for basic biological research and drug discovery.

An unnatural enzyme with endonuclease activity towards small non-coding RNAs

Endonucleases are enzymes that cleave internal phosphodiester bonds within double-stranded DNA or RNA and are essential for biological functions. Herein, we use genetic code expansion to create an unnatural endonuclease that cleaves non-coding RNAs including short interfering RNA (siRNA) and microRNAs (miRNAs), a function that does not exist in nature. We introduce a metal-chelating unnatural amino acid, (2,2′-bipyridin-5-yl)alanine (BpyAla) to impart endonuclease activity to the viral suppressor of RNA silencing protein p19. Upon binding of copper, the mutant p19-T111BpyAla displays catalytic site-specific cleavage of siRNA and human miRNAs. Catalysis is confirmed using fluorescence polarization and fluorescence turn-on. Global miRNA profiling reveals that the engineered enzyme cleaves miRNAs in a human cell line. The therapeutic potential is demonstrated by targeting miR-122, a critical host factor for the hepatitis C virus (HCV). Unnatural endonuclease function is shown to deplete miR-122 levels with similar effects to an antagomir that reduces HCV levels therapeutically.

Five mutually orthogonal aaRS-tRNA pairs for genetic code expansion.

Five mutually orthogonal aaRS-tRNA pairs for genetic code expansion.

Controlled Genetic Encoding of Unnatural Amino Acids in a Protein Nanopore

AbstractConventional protein engineering methods for modifying protein nanopores are typically limited to 20 natural amino acids, which restrict the diversity of the nanopores in structure and function. To enrich the chemical environment inside the nanopore, we employed the genetic code expansion (GCE) technique to site‐specifically incorporate the unnatural amino acid (UAA) into the sensing region of aerolysin nanopores. This approach leveraged the efficient pyrrolysine‐based aminoacyl‐tRNA synthetase‐tRNA pair for a high yield of pore‐forming protein. Both molecular dynamics (MD) simulations and single‐molecule sensing experiments demonstrated that the conformation of UAA residues provided a favorable geometric orientation for the interactions of target molecules and the pore. This rationally designed chemical environment enabled the direct discrimination of multiple peptides containing hydrophobic amino acids. Our work provides a new framework for endowing nanopores with unique sensing properties that are difficult to achieve using classical protein engineering approaches.

Controlled Genetic Encoding of Unnatural Amino Acids in a Protein Nanopore.

Conventional protein engineering methods for modifying protein nanopores are typically limited to 20 natural amino acids, which restrict the diversity of the nanopores in structure and function. To enrich the chemical environment inside the nanopore, we employed the genetic code expansion (GCE) technique to site-specifically incorporate the unnatural amino acid (UAA) into the sensing region of aerolysin nanopores. This approach leveraged the efficient pyrrolysine-based aminoacyl-tRNA synthetase-tRNA pair for a high yield of pore-forming protein. Both molecular dynamics (MD) simulations and single-molecule sensing experiments demonstrated that the conformation of UAA residues provided a favorable geometric orientation for the interactions of target molecules and the pore. This rationally designed chemical environment enabled the direct discrimination of multiple peptides containing hydrophobic amino acids. Our work provides a new framework for endowing nanopores with unique sensing properties that are difficult to achieve using classical protein engineering approaches.

Atomistic simulations of the Escherichia coli ribosome provide selection criteria for translationally active substrates

As genetic code expansion advances beyond l-α-amino acids to backbone modifications and new polymerization chemistries, delineating what substrates the ribosome can accommodate remains a challenge. The Escherichia coli ribosome tolerates non-l-α-amino acids in vitro, but few structural insights that explain how are available, and the boundary conditions for efficient bond formation are so far unknown. Here we determine a high-resolution cryogenic electron microscopy structure of the E. coli ribosome containing α-amino acid monomers and use metadynamics simulations to define energy surface minima and understand incorporation efficiencies. Reactive monomers across diverse structural classes favour a conformational space where the aminoacyl-tRNA nucleophile is <4 Å from the peptidyl-tRNA carbonyl with a Bürgi–Dunitz angle of 76–115°. Monomers with free energy minima that fall outside this conformational space do not react efficiently. This insight should accelerate the in vivo and in vitro ribosomal synthesis of sequence-defined, non-peptide heterooligomers.