{"title":"Efficient Simulation of Viral Transduction and Propagation for Biomanufacturing.","authors":"Francesco Destro, Richard D Braatz","doi":"10.1021/acssynbio.4c00227","DOIUrl":"https://doi.org/10.1021/acssynbio.4c00227","url":null,"abstract":"<p><p>The design of biomanufacturing platforms based on viral transduction and/or propagation poses significant challenges at the intersection between synthetic biology and process engineering. This paper introduces vitraPro, a software toolkit composed of a multiscale model and an efficient numeric technique that can be leveraged for determining genetic and process designs that optimize transduction-based biomanufacturing platforms and viral amplification processes. Viral infection and propagation for up to two viruses simultaneously can be simulated through the model, considering viruses in either the lytic or lysogenic stage, during batch, perfusion, or continuous operation. The model estimates the distribution of the viral genome(s) copy number in the cell population, which is an indicator of transduction efficiency and viral genome stability. The infection age distribution of the infected cells is also calculated, indicating how many cells are in an infection stage compatible with recombinant product expression or viral amplification. The model can also consider the presence of defective interfering particles in the system, which can severely compromise the productivity of biomanufacturing processes. Model benchmarking and validation are demonstrated for case studies of the baculovirus expression vector system and influenza A propagation in suspension cultures.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142306534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Chromatin Organization and Epigenetics on CRISPR-Cas and TALEN Genome Editing.","authors":"Surbhi Jain, Guanhua Xun, Huimin Zhao","doi":"10.1021/acssynbio.4c00099","DOIUrl":"https://doi.org/10.1021/acssynbio.4c00099","url":null,"abstract":"<p><p>DNA lies at the heart of the central dogma of life. Altering DNA can modify the flow of information in fundamental cellular processes such as transcription and translation. The ability to precisely manipulate DNA has led to remarkable advances in treating incurable human genetic ailments and has changed the landscape of biological research. Genome editors such as CRISPR-Cas nucleases and TALENs have become ubiquitous tools in basic and applied biological research and have been translated to the clinic to treat patients. The specificity and modularity of these genome editors have made it possible to efficiently engineer genomic DNA; however, underlying principles governing editing outcomes in eukaryotes are still being uncovered. Editing efficiency can vary from cell type to cell type for the same DNA target sequence, necessitating de novo design and validation efforts. Chromatin structure and epigenetic modifications have been shown to affect the activity of genome editors because of the role they play in hierarchical organization of the underlying DNA. Understanding the nuclear search mechanism of genome editors and their molecular interactions with higher order chromatin will lead to improved models for predicting precise genome editing outcomes. Insights from such studies will unlock the entire genome to be engineered for the creation of novel therapies to treat critical illnesses.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142306535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementing Optogenetic-Controlled Bacterial Systems in <i>Drosophila melanogaster</i> for Alleviation of Heavy Metal Poisoning.","authors":"Junyi Wang, Ying Li, Dawei Sun, Jingyi Li, Lianyue Li, Xinyu Zhang, Xinyu Liu, Zhijie Feng, Huimin Xue, Yuhui Cui, Yiwen Wang, Duo Liu, Hanjie Wang","doi":"10.1021/acssynbio.4c00409","DOIUrl":"https://doi.org/10.1021/acssynbio.4c00409","url":null,"abstract":"<p><p><i>Drosophila melanogaster</i> (fruit fly) is an animal model chassis in biological and genetic research owing to its short life cycle, ease of cultivation, and acceptability to genetic modification. While the <i>D. melanogaster</i> chassis offers valuable insights into drug efficacy, toxicity, and mechanisms, several obvious challenges such as dosage control and drug resistance still limit its utility in pharmacological studies. Our research combines optogenetic control with engineered gut bacteria to facilitate the precise delivery of therapeutic substances in <i>D. melanogaster</i> for biomedical research. We have shown that the engineered bacteria can be orally administered to <i>D. melanogaster</i> to get a stable density of approximately 28,000 CFUs/per fly, leading to no detectable negative effects on the growth of <i>D. melanogaster</i>. In a model of <i>D. melanogaster</i> exposure to heavy metal, these orally administered bacteria uniformly express target genes under green light control to produce MtnB protein for binding and detoxifying lead, which significantly reduces the level of oxidative stress in the intestinal tract of Pb-treated flies. This pioneering study lays the groundwork for using optogenetic-controlled bacteria in the model chassis <i>D. melanogaster</i> to advance biomedical applications.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142306536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tyson Bookout, Steve Shideler, Evan Cooper, Kira Goff, John V Headley, Lisa M Gieg, Shawn Lewenza
{"title":"Construction of Whole Cell Bacterial Biosensors as an Alternative Environmental Monitoring Technology to Detect Naphthenic Acids in Oil Sands Process-Affected Water.","authors":"Tyson Bookout, Steve Shideler, Evan Cooper, Kira Goff, John V Headley, Lisa M Gieg, Shawn Lewenza","doi":"10.1021/acssynbio.4c00260","DOIUrl":"https://doi.org/10.1021/acssynbio.4c00260","url":null,"abstract":"<p><p>After extraction of bitumen from oil sands deposits, the oil sand process-affected water (OSPW) is stored in tailings ponds. Naphthenic acids (NA) in tailings ponds have been identified as the primary contributor to toxicity to aquatic life. As an alternative to other analytical methods, here we identify bacterial genes induced after growth in naphthenic acids and use synthetic biology approaches to construct a panel of candidate biosensors for NA detection in water. The main promoters of interest were the <i>atuAR</i> promoters from a naphthenic acid degradation operon and upstream TetR regulator, the <i>marR</i> operon which includes a MarR regulator and downstream naphthenic acid resistance genes, and a hypothetical gene with a possible role in fatty acid biology. Promoters were printed and cloned as transcriptional <i>lux</i> reporter plasmids that were introduced into a tailings pond-derived <i>Pseudomonas</i> species. All candidate biosensor strains were tested for transcriptional responses to naphthenic acid mixtures and individual compounds. The three priority promoters respond in a dose-dependent manner to simple, acyclic, and complex NA mixtures, and each promoter has unique NA specificities. The limits of NA detection from the various NA mixtures ranged between 1.5 and 15 mg/L. The <i>atuA</i> and <i>marR</i> promoters also detected NA in small volumes of OSPW samples and were induced by extracts of the panel of OSPW samples. While biosensors have been constructed for other hydrocarbons, here we describe a biosensor approach that could be employed in environmental monitoring of naphthenic acids in oil sands mining wastewater.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142306532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kasey Markel, Jean Sabety, Shehan Wijesinghe, Patrick M Shih
{"title":"Design and Characterization of a Transcriptional Repression Toolkit for Plants.","authors":"Kasey Markel, Jean Sabety, Shehan Wijesinghe, Patrick M Shih","doi":"10.1021/acssynbio.4c00404","DOIUrl":"https://doi.org/10.1021/acssynbio.4c00404","url":null,"abstract":"<p><p>Regulation of gene expression is essential for all life. Tools to manipulate the gene expression level have therefore proven to be very valuable in efforts to engineer biological systems. However, there are few well-characterized genetic parts that reduce gene expression in plants, commonly known as transcriptional repressors. We characterized the repression activity of a library consisting of repression motifs from approximately 25% of the members of the largest known family of repressors. Combining sequence information with our trans-regulatory function data, we next generated a library of synthetic transcriptional repression motifs with function predicted in advance. After characterizing our synthetic library, we demonstrated not only that many of our synthetic constructs were functional as repressors but also that our advance predictions of repression strength were better than random guesses. Finally, we assessed the functionality of known transcriptional repression motifs from a wide range of eukaryotes. Our study represents the largest plant repressor motif library experimentally characterized to date, providing unique opportunities for tuning transcription in plants.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142306533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fundamentals and Exceptions of the LysR-type Transcriptional Regulators.","authors":"Wouter Demeester, Brecht De Paepe, Marjan De Mey","doi":"10.1021/acssynbio.4c00219","DOIUrl":"https://doi.org/10.1021/acssynbio.4c00219","url":null,"abstract":"<p><p>LysR-type transcriptional regulators (LTTRs) are emerging as a promising group of macromolecules for the field of biosensors. As the largest family of bacterial transcription factors, the LTTRs represent a vast and mostly untapped repertoire of sensor proteins. To fully harness these regulators for transcription factor-based biosensor development, it is crucial to understand their underlying mechanisms and functionalities. In the first part, this Review discusses the established model and features of LTTRs. As dual-function regulators, these inducible transcription factors exude precise control over their regulatory targets. In the second part of this Review, an overview is given of the exceptions to the \"classic\" LTTR model. While a general regulatory mechanism has helped elucidate the intricate regulation performed by LTTRs, it is essential to recognize the variations within the family. By combining this knowledge, characterization of new regulators can be done more efficiently and accurately, accelerating the expansion of transcriptional sensors for biosensor development. Unlocking the pool of LTTRs would significantly expand the currently limited range of detectable molecules and regulatory functions available for the implementation of novel synthetic genetic circuitry.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142277245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jean-Malo Massicard, Delphine Noel, Andrea Calderari, André Le Jeune, Cyrille Pauthenier, Kira J Weissman
{"title":"Modular Cloning Tools for <i>Streptomyces</i> spp. and Application to the De Novo Biosynthesis of Flavokermesic Acid.","authors":"Jean-Malo Massicard, Delphine Noel, Andrea Calderari, André Le Jeune, Cyrille Pauthenier, Kira J Weissman","doi":"10.1021/acssynbio.4c00412","DOIUrl":"https://doi.org/10.1021/acssynbio.4c00412","url":null,"abstract":"<p><p>The filamentous <i>Streptomyces</i> are among the most prolific producers of bioactive natural products and are thus attractive chassis for the heterologous expression of native and designed biosynthetic pathways. Although suitable <i>Streptomyces</i> hosts exist, including genetically engineered cluster-free mutants, the approach is currently limited by the relative paucity of synthetic biology tools facilitating the de novo assembly of multicomponent gene clusters. Here, we report a modular system (MoClo) for <i>Streptomyces</i> including a set of adapted vectors and genetic elements, which allow for the construction of complete genetic circuits. Critical functional validation of each of the elements was obtained using the previously reported β-glucuronidase (GusA) reporter system. Furthermore, we provide proof-of-principle for the toolbox in<i>S. albus</i>, demonstrating the efficient assembly of a biosynthetic pathway to flavokermesic acid (FK), an advanced precursor of the commercially valuable carminic acid.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142277246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Synthetic BiologyPub Date : 2024-09-20Epub Date: 2024-08-23DOI: 10.1021/acssynbio.4c00403
Danielle Deuker, Ernest Asilonu, Daniel G Bracewell, Stefanie Frank
{"title":"Adeno-Associated Virus 5 Protein Particles Produced by <i>E. coli</i> Cell-Free Protein Synthesis.","authors":"Danielle Deuker, Ernest Asilonu, Daniel G Bracewell, Stefanie Frank","doi":"10.1021/acssynbio.4c00403","DOIUrl":"10.1021/acssynbio.4c00403","url":null,"abstract":"<p><p>Recombinant adeno-associated viruses (rAAVs) have emerged as important tools for gene therapy and, more recently, vaccine development. Nonetheless, manufacturing can be costly and time-consuming, emphasizing the importance of alternative production platforms. We investigate the potential of <i>E. coli</i>-based cell-free protein synthesis (CFPS) to produce recombinant AAV5 virus-like particles (VLPs). AAV5 virus protein 3 (VP3) constructs, both with and without Strep-tag II, were expressed with CFPS. Lower reaction temperatures resulted in increased solubility, with the untagged variant containing nearly 90% more soluble VLP VP3 protein at 18 °C than at 37 °C. Affinity chromatography of N-terminally Strep(II)-tagged VP3 enabled successful isolation with minimal processing. DLS and TEM confirmed the presence of ∼20 nm particles. Furthermore, the N-terminally tagged AAV5 VP3 VLPs were biologically active, successfully internalizing into HeLa cells. This study describes an innovative approach to AAV VLP production using <i>E. coli</i>-based CFPS, demonstrating its potential for rapid and biologically active AAV VLP synthesis.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142043776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Synthetic BiologyPub Date : 2024-09-20Epub Date: 2024-08-28DOI: 10.1021/acssynbio.4c00037
Evan Appleton, Noushin Mehdipour, Tristan Daifuku, Demarcus Briers, Iman Haghighi, Michaël Moret, George Chao, Timothy Wannier, Anush Chiappino-Pepe, Jeremy Huang, Calin Belta, George M Church
{"title":"Algorithms for Autonomous Formation of Multicellular Shapes from Single Cells.","authors":"Evan Appleton, Noushin Mehdipour, Tristan Daifuku, Demarcus Briers, Iman Haghighi, Michaël Moret, George Chao, Timothy Wannier, Anush Chiappino-Pepe, Jeremy Huang, Calin Belta, George M Church","doi":"10.1021/acssynbio.4c00037","DOIUrl":"10.1021/acssynbio.4c00037","url":null,"abstract":"<p><p>Multicellular organisms originate from a single cell, ultimately giving rise to mature organisms of heterogeneous cell type composition in complex structures. Recent work in the areas of stem cell biology and tissue engineering has laid major groundwork in the ability to convert certain types of cells into other types, but there has been limited progress in the ability to control the morphology of cellular masses as they grow. Contemporary approaches to this problem have included the use of artificial scaffolds, 3D bioprinting, and complex media formulations; however, there are no existing approaches to controlling this process purely through genetics and from a single-cell starting point. Here we describe a computer-aided design approach, called <i>CellArchitect</i>, for designing recombinase-based genetic circuits for controlling the formation of multicellular masses into arbitrary shapes in human cells.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142078372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ACS Synthetic BiologyPub Date : 2024-09-20Epub Date: 2024-08-28DOI: 10.1021/acssynbio.4c00465
Mark Zaretckii, Pavel Buslaev, Igor Kozlovskii, Alexander Morozov, Petr Popov
{"title":"Approaching Optimal pH Enzyme Prediction with Large Language Models.","authors":"Mark Zaretckii, Pavel Buslaev, Igor Kozlovskii, Alexander Morozov, Petr Popov","doi":"10.1021/acssynbio.4c00465","DOIUrl":"10.1021/acssynbio.4c00465","url":null,"abstract":"<p><p>Enzymes are widely used in biotechnology due to their ability to catalyze chemical reactions: food making, laundry, pharmaceutics, textile, brewing─all these areas benefit from utilizing various enzymes. Proton concentration (pH) is one of the key factors that define the enzyme functioning and efficiency. Usually there is only a narrow range of pH values where the enzyme is active. This is a common problem in biotechnology to design an enzyme with optimal activity in a given pH range. A large part of this task can be completed <i>in silico</i>, by predicting the optimal pH of designed candidates. The success of such computational methods critically depends on the available data. In this study, we developed a language-model-based approach to predict the optimal pH range from the enzyme sequence. We used different splitting strategies based on sequence similarity, protein family annotation, and enzyme classification to validate the robustness of the proposed approach. The derived machine-learning models demonstrated high accuracy across proteins from different protein families and proteins with lower sequence similarities compared with the training set. The proposed method is fast enough for the high-throughput virtual exploration of protein space for the search for sequences with desired optimal pH levels.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142085835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}