ORCID Profile
0000-0002-1535-4296
Current Organisations
Nanyang Technological University
,
CSIRO
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Publisher: Oxford University Press (OUP)
Date: 2021
Abstract: Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, s le and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: synbiopython.org.
Publisher: American Chemical Society (ACS)
Date: 15-06-2022
Publisher: Springer Science and Business Media LLC
Date: 09-05-2019
Publisher: Springer New York
Date: 2018
DOI: 10.1007/978-1-4939-7795-6_26
Abstract: In the process of constructing and characterizing the whole cell biosensor for Vibrio cholerae detection, two main techniques have been employed-DNA assembly using the Gibson isothermal assembly reaction was used for the assembly of the PCRed plasmid fragments (DNA parts), and microplate fluorescence readings were used for bacterial strain characterization. The general workflow can be summed up as: the in silico designed DNA fragments were assembled by isothermal assembly to be later transformed into Escherichia coli that, in turn, was characterized using the microplate reader. As fine-tuning of the sensor design was required, the process was repeated iteratively until the final strain was created with desired characteristics. This chapter describes in detail this workflow for different constructs which finally led to the creation of the first whole cell biosensor in E. coli for V. cholerae detection.
Publisher: Cold Spring Harbor Laboratory
Date: 06-01-2022
DOI: 10.1101/2022.01.05.475140
Abstract: Optimisation of gene expression levels is an essential part of the organism design process. Fine control of this process can be achieved through engineering transcription and translation control elements, including the ribosome binding site (RBS). Unfortunately, design of specific genetic parts can still be challenging due to lack of reliable design methods. To address this problem, we have created a machine learning guided Design-Build-Test-Learn (DBTL) cycle for the experimental design of bacterial RBSs to show how small genetic parts can be reliably designed using relatively small, high-quality data sets. We used Gaussian Process Regression for the Learn phase of cycle and the Upper Confidence Bound multi-armed bandit algorithm for the Design of genetic variants to be tested in vivo. We have integrated these machine learning algorithms with laboratory automation and high-throughput processes for reliable data generation. Notably, by Testing a total of 450 RBS variants in four DBTL cycles, we experimentally validated RBSs with high translation initiation rates equalling or exceeding our benchmark RBS by up to 34%. Overall, our results show that machine learning is a powerful tool for designing RBSs, and they pave the way towards more complicated genetic devices.
Publisher: Oxford University Press (OUP)
Date: 16-12-2021
Abstract: A biofoundry provides automation and analytics infrastructure to support the engineering of biological systems. It allows scientists to perform synthetic biology and aligned experimentation on a high-throughput scale, massively increasing the solution space that can be examined for any given problem or question. However, establishing a biofoundry is a challenging undertaking, with numerous technical and operational considerations that must be addressed. Using collated learnings, here we outline several considerations that should be addressed prior to and during establishment. These include drivers for establishment, institutional models, funding and revenue models, personnel, hardware and software, data management, interoperability, client engagement and biosecurity issues. The high cost of establishment and operation means that developing a long-term business model for biofoundry sustainability in the context of funding frameworks, actual and potential client base, and costing structure is critical. Moreover, since biofoundries are leading a conceptual shift in experimental design for bioengineering, sustained outreach and engagement with the research community are needed to grow the client base. Recognition of the significant, long-term financial investment required and an understanding of the complexities of operationalization is critical for a sustainable biofoundry venture. To ensure state-of-the-art technology is integrated into planning, extensive engagement with existing facilities and community groups, such as the Global Biofoundries Alliance, is recommended.
Publisher: Springer Science and Business Media LLC
Date: 11-07-2019
DOI: 10.1038/S41467-019-10862-1
Abstract: The original version of this Comment contained errors in the legend of Figure 2, in which the locations of the fifteenth and sixteenth GBA members were incorrectly given as ‘(15) Australian Genome Foundry, Macquarie University (16) Australian Foundry for Advanced Biomanufacturing, University of Queensland.’. The correct version replaces this with ‘(15) Australian Foundry for Advanced Biomanufacturing (AusFAB), University of Queensland and (16) Australian Genome Foundry, Macquarie University’. This has been corrected in both the PDF and HTML versions of the Comment.
No related grants have been discovered for Maciej Holowko.