Uriel E. Barboza-Pérez, Ma de L. Pérez-Zavala, José E. Barboza-Corona
{"title":"Synthetic biology in Mexico: Brief history, current landscape, and perspectives towards a bio-based economy","authors":"Uriel E. Barboza-Pérez, Ma de L. Pérez-Zavala, José E. Barboza-Corona","doi":"10.1049/enb2.12037","DOIUrl":"https://doi.org/10.1049/enb2.12037","url":null,"abstract":"<p>Synthetic biology (SynBio) makes biology easier by leveraging engineering principles and other disciplines to design and construct biological systems with novel or enhanced functions. SynBio has led to the development of more sustainable biotechnological innovations that are in harmony with the environment, aiding the shift from a traditional to a bio-based economy. Mexico has made significant advancements in biotechnology in academia and industry, but progress in engineering biology has been different. Nevertheless, several initiatives, mainly supported by the participation of Mexican International Genetically Engineered Machine (iGEM) teams in the jamboree, have contributed to the interest of SynBio. This review provides a brief overview of the significant role of the iGEM competition and the current landscape of synthetic biology in Mexico, including educational and citizen science initiatives, as well as an overview of Synbio research and the industrial landscape. Additionally, a brief description of the current laws governing biotechnology in the country is provided. Finally, we highlight the challenges, opportunities and perspectives for the development of synthetic biology and the potential that Mexico has for a biologically based economy.</p>","PeriodicalId":72921,"journal":{"name":"Engineering biology","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enb2.12037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supercharging engineering biology with automation","authors":"Sébastien Lambertucci, Faye Deakin","doi":"10.1049/enb2.12036","DOIUrl":"10.1049/enb2.12036","url":null,"abstract":"<p>Breakthroughs in engineering biology will solve the challenges facing humanity, by harnessing life itself. Standing in the way of these breakthroughs are the technical challenges of collecting the requisite data. Data variability and reproducibility problems, mean the odds are stacked against emerging biotechs. Automation has long been known to solve both problems; Let a robot do the pipetting and get reproducible data with less hands-on time. Although transitioning to automation has clear benefits, it can introduce additional complexity if done incorrectly. Analytik Jena UK has focused on supporting this transition to automation. We have found the combining of industry expertise with the biology know-how at the bench is paramount. Great automation should empower the scientist. Scientists should be trained on how to harness their automation. Through industry-customer relationships, we have successfully automated platforms for building DNA to antibody development. Through this partnership, we can enable a smooth translation of engineering biology to scalable industrial solutions. In this communication we have highlighted some successful examples where translating engineering biology workflows onto automation has proven beneficial, paving the way to industry ready solutions.</p>","PeriodicalId":72921,"journal":{"name":"Engineering biology","volume":"8 4","pages":"69-73"},"PeriodicalIF":0.0,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11681250/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142904277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Routes to industrial scalability to maximise investment in engineering biology in the UK—A bioplastics small and medium-sized enterprise perspective","authors":"Amy Switzer, Laima Šusta, Paul Mines","doi":"10.1049/enb2.12033","DOIUrl":"https://doi.org/10.1049/enb2.12033","url":null,"abstract":"<p>Focus on engineering biology is at the forefront of the UK government's objectives, being one of their five critical technologies (the others being quantum technologies, artifical intelligence, semiconductors, and future telecommunications), with a recent announcement of £2 billion to be invested into the field over the next 10 years. With such attention being given to engineering biology within the UK, it is critical to envisage realistic downstream channels (i.e. scale up and route to market) for this investment in order to maximise successful outcomes. This article aims to identify, from the perspective of a UK Bioplastics small and medium-sized enterprise, areas within the scope of engineering biology that should be focused on to maximise potential for success.</p>","PeriodicalId":72921,"journal":{"name":"Engineering biology","volume":"8 2-3","pages":"41-46"},"PeriodicalIF":0.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enb2.12033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142276580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A decade of translational engineering biology: Measuring success","authors":"David Bell","doi":"10.1049/enb2.12034","DOIUrl":"https://doi.org/10.1049/enb2.12034","url":null,"abstract":"<p>Since joining SynbiCITE, the national centre for translating synthetic biology, a decade ago as the lone analytical chemist, the centre has gone from limited lab space to playing its part in securing funding, growth and development of more than 50 companies focused on engineering biology. Synthetic biology has proved to be viable technology, with the number of sustainable companies continuing to grow in this field. This communication provides a personal perspective of 10 years in translational engineering of biology, as seen from the experimental analytics position and working with the companies contributing to the growth of the UK bioeconomy.</p>","PeriodicalId":72921,"journal":{"name":"Engineering biology","volume":"8 2-3","pages":"47-51"},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enb2.12034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142276591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Engineering biology and automation–Replicability as a design principle","authors":"Matthieu Bultelle, Alexis Casas, Richard Kitney","doi":"10.1049/enb2.12035","DOIUrl":"10.1049/enb2.12035","url":null,"abstract":"<p>Applications in engineering biology increasingly share the need to run operations on very large numbers of biological samples. This is a direct consequence of the application of good engineering practices, the limited predictive power of current computational models and the desire to investigate very large design spaces in order to solve the hard, important problems the discipline promises to solve. Automation has been proposed as a key component for running large numbers of operations on biological samples. This is because it is strongly associated with higher throughput, and with higher replicability (thanks to the reduction of human input). The authors focus on replicability and make the point that, far from being an additional burden for automation efforts, replicability should be considered central to the design of the automated pipelines processing biological samples at scale—as trialled in biofoundries. There cannot be successful automation without effective error control. Design principles for an IT infrastructure that supports replicability are presented. Finally, the authors conclude with some perspectives regarding the evolution of automation in engineering biology. In particular, they speculate that the integration of hardware and software will show rapid progress, and offer users a degree of control and abstraction of the robotic infrastructure on a level significantly greater than experienced today.</p>","PeriodicalId":72921,"journal":{"name":"Engineering biology","volume":"8 4","pages":"53-68"},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enb2.12035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141653379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marc Biarnes Carrera, Alexandra Sevko, Nicholas Glanville, Livija Deban
{"title":"Programmable cancer treatments: Engineering biology approaches for living cures","authors":"Marc Biarnes Carrera, Alexandra Sevko, Nicholas Glanville, Livija Deban","doi":"10.1049/enb2.12032","DOIUrl":"https://doi.org/10.1049/enb2.12032","url":null,"abstract":"<p>Living cures are cell-based, programmable therapies that integrate the latest learnings in immunology and synthetic biology. Although Adoptive Cell Therapies (ACTs) have transformed the treatment landscape of haematological malignancies by harnessing the powerful anti-tumour properties of immune cells, commercialisation and ensuring access is challenging. Their application in solid tumour treatment has been hindered by the immunosuppressive tumour microenvironment (TME) and its associated physical barriers. Conversely, bacterial immunotherapies offer cost-effective solutions by utilising tumour-colonising bacteria that trigger localised inflammatory responses within the TME. The authors briefly examine advancements in ACT and propose bacterial immunotherapies as an alternative or complementary treatment modality with potential use either as standalone therapies or in conjunction with other treatments.</p>","PeriodicalId":72921,"journal":{"name":"Engineering biology","volume":"8 2-3","pages":"31-40"},"PeriodicalIF":0.0,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enb2.12032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142276593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monica Hoyos Flight, Joyce Tait, Theo Chronopoulos, Monica Betancor, Pauline Wischhusen, Emily Burton, Helen Masey O'Neill, Kim van der Heul, John Hays, Peter Rowe
{"title":"Analysing responsible innovation along a value chain—A single-cell protein case study","authors":"Monica Hoyos Flight, Joyce Tait, Theo Chronopoulos, Monica Betancor, Pauline Wischhusen, Emily Burton, Helen Masey O'Neill, Kim van der Heul, John Hays, Peter Rowe","doi":"10.1049/enb2.12031","DOIUrl":"https://doi.org/10.1049/enb2.12031","url":null,"abstract":"<p>The British Standards Institution's Publicly Available Specification 440 (PAS 440) provides a Responsible Innovation Framework (RIF) that companies can use to continuously monitor the societal, environmental and health benefits and risks of their innovations, as well as relevant changes to the supply chain and regulations. PAS 440 is intended to help companies achieve the benefits of innovation in a timely manner and avoid any potential harm or unintended misuse of a new product, process or service. Here, the authors have applied the PAS 440 RIF to a novel single-cell protein (SCP) animal feed ingredient taking into consideration the perspectives of the value chain partners (VCPs), companies and laboratories involved in an Innovate UK research project. The authors’ findings show how VCPs can use PAS440 to demonstrate that they are innovating responsibly. Using this approach to responsible innovation along the value chain—from manufacturing scale-up, through regulatory approval, to incorporation in animal feed and from there to food on supermarket shelves—can support the development of innovations that contribute to the economic and environmental sustainability of the animal feed sector. The authors conclude that the PAS 440 Guide can facilitate the progress of a new product throughout a value chain and contribute to coordinating responsible behaviour among companies involved in the value chain.</p>","PeriodicalId":72921,"journal":{"name":"Engineering biology","volume":"8 1","pages":"16-29"},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enb2.12031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140192105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Building the bioeconomy: A targeted assessment approach to identifying biobased technologies, challenges and opportunities","authors":"Claire Holland, Philip Shapira","doi":"10.1049/enb2.12030","DOIUrl":"10.1049/enb2.12030","url":null,"abstract":"<p>The authors explore opportunities, challenges, and strategies to translate and responsibly scale innovative biobased technologies to build more sustainable bioeconomies. The pandemic and other recent disruptions increased exposure to issues of resilience and regional imbalance, highlighting a need for production and consumption regimes centred more on local biobased resources and dispersed production. The authors review potential biobased technology strategies and identify promising and feasible options for the United Kingdom. Initial landscape and bibliometric analysis identified 50 potential existing and emerging biobased technologies, which were assessed for their ability to fulfil requirements related to biobased production, national applicability, and economic-, societal-, and environmental-benefits, leading to identification of 18 promising biobased production technologies. Further analysis and focus-group discussion with industrial, governmental, academic, agricultural, and social stakeholders, identified three technology clusters for targeted assessment, drawing on cellulose-, lignin-, and seaweed feedstocks. Case studies were developed for each cluster, addressing conversations around sustainable management, use of biomass feedstocks, and associated environmental-, social-, and economic challenges. Cases are presented with discussion of insights and implications for policy. The approach presented is put forward as a scalable assessment method that can be useful in prompting, informing, and advancing discussion and deliberation on opportunities and challenges for biobased transformations.</p>","PeriodicalId":72921,"journal":{"name":"Engineering biology","volume":"8 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enb2.12030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139856540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Building the bioeconomy: A targeted assessment approach to identifying biobased technologies, challenges and opportunities","authors":"Claire Holland, Philip Shapira","doi":"10.1049/enb2.12030","DOIUrl":"https://doi.org/10.1049/enb2.12030","url":null,"abstract":"The authors explore opportunities, challenges, and strategies to translate and responsibly scale innovative biobased technologies to build more sustainable bioeconomies. The pandemic and other recent disruptions increased exposure to issues of resilience and regional imbalance, highlighting a need for production and consumption regimes centred more on local biobased resources and dispersed production. The authors review potential biobased technology strategies and identify promising and feasible options for the United Kingdom. Initial landscape and bibliometric analysis identified 50 potential existing and emerging biobased technologies, which were assessed for their ability to fulfil requirements related to biobased production, national applicability, and economic‐, societal‐, and environmental‐benefits, leading to identification of 18 promising biobased production technologies. Further analysis and focus‐group discussion with industrial, governmental, academic, agricultural, and social stakeholders, identified three technology clusters for targeted assessment, drawing on cellulose‐, lignin‐, and seaweed feedstocks. Case studies were developed for each cluster, addressing conversations around sustainable management, use of biomass feedstocks, and associated environmental‐, social‐, and economic challenges. Cases are presented with discussion of insights and implications for policy. The approach presented is put forward as a scalable assessment method that can be useful in prompting, informing, and advancing discussion and deliberation on opportunities and challenges for biobased transformations.","PeriodicalId":72921,"journal":{"name":"Engineering biology","volume":"61 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139796916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shirin Bamezai, Giovanni Maresca di Serracapriola, Freya Morris, Rasmus Hildebrandt, Marc Augustine Sojerido Amil, Sporadicate iGEM Team, Rodrigo Ledesma-Amaro
{"title":"Protein engineering in the computational age: An open source framework for exploring mutational landscapes in silico","authors":"Shirin Bamezai, Giovanni Maresca di Serracapriola, Freya Morris, Rasmus Hildebrandt, Marc Augustine Sojerido Amil, Sporadicate iGEM Team, Rodrigo Ledesma-Amaro","doi":"10.1049/enb2.12028","DOIUrl":"https://doi.org/10.1049/enb2.12028","url":null,"abstract":"<p>The field of protein engineering has seen tremendous expansion in the last decade, with researchers developing novel proteins with specialised functionalities for a range of uses, from drug discovery to industrial biotechnology. The emergence of computational tools and high-throughput screening technology has substantially sped up the process of protein engineering. However, much of the expertise required to engage in such projects is still concentrated in the hands of a few specialised individuals, including computational biologists and structural biochemists. The international Genetically Engineered Machine (iGEM) competition represents a platform for undergraduate students to innovate in synthetic biology. Yet, due to their complexity, arduous protein engineering projects are hindered by the resources available and strict timelines of the competition. The authors highlight how the 2022 iGEM Team, ‘Sporadicate’, set out to develop InFinity 1.0, a computational framework for increased accessibility to effective protein engineering, hoping to increase awareness and accessibility to novel <i>in silico</i> tools.</p>","PeriodicalId":72921,"journal":{"name":"Engineering biology","volume":"7 1-4","pages":"29-38"},"PeriodicalIF":0.0,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/enb2.12028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138578163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}