Search

Plate readers are commonly used to measure cell growth and fluorescence, yet the utility and reproducibility of plate reader data is limited by the fact that it is typically reported in arbitrary or relative units. We have previously established a robust serial dilution protocol for calibration of plate reader measurements of absorbance to estimated bacterial cell count and for green fluorescence from proteins expressed in bacterial cells to molecules of equivalent fluorescein. We now extend these protocols to calibration of red fluorescence to the sulforhodamine-101 fluorescent dye and blue fluorescence to Cascade Blue. Evaluating calibration efficacy via an interlaboratory study, we find that these calibrants do indeed provide comparable precision to the prior calibrants and that they enable effective cross-laboratory comparison of measurements of red and blue fluorescence from proteins expressed in bacterial cells.

Scientific articles contain a wealth of information about experimental methods and results describing biological designs. Due to its unstructured nature and multiple sources of ambiguity and variability, extracting this information from text is a difficult task. In this paper, we describe the development of the synthetic biology knowledge system (SBKS) text processing pipeline. The pipeline uses natural language processing techniques to extract and correlate information from the literature for synthetic biology researchers. Specifically, we apply named entity recognition, relation extraction, concept grounding, and topic modeling to extract information from published literature to link articles to elements within our knowledge system. Our results show the efficacy of each of the components on synthetic biology literature and provide future directions for further advancement of the pipeline.

Biologically derived materials have numerous applications in biomedical fields and beyond. Yet, the properties of these materials are difficult to alter because the natural biosynthetic mechanisms are difficult to elucidate, imitate, or adjust. Thus, many bio-derived materials are isolated from natural tissues, or substitutes are recombinantly produced and then modified ex vivo. A major shift in this paradigm is being driven by the maturing field of synthetic biology, which is innovating a ‘tool box’ of methods to tune biomolecules and biosynthetic mechanisms in vivo. In the context of materials, this has led to higher production titers due to reprogrammed natural biosynthesis and has enabled design of novel materials by combining desired domains in vivo. Here, we highlight recent applications of synthetic biology to bio-derived ribosomal and nonribosomal polymer materials for biomedical applications. We then describe state-of-the-art techniques that will impact bio-derived material production and engineering in the near future. Continued innovation at the convergence of synthetic biology and materials science promises to begin a new era of biomaterial design and synthesis.

Pharmaceutical production hosts may be derived from almost any organism, from Chinese Hamster Ovary (CHO) cell lines to isolated actinomycetes. Each host can be improved, historically only through adaptive evolution. Recently, the maturation of organism engineering has expanded the available models, methods, and tools for altering host phenotypes. New tools like CRISPR-associated endonucleases promise to enable precise cellular reprogramming and to access previously intractable hosts. In this review, we discuss the most recent advances in engineering several types of pharmaceutical production hosts. These include model organisms, potential platform hosts with advantageous metabolism or physiology, specialized producers capable of unique biosynthesis, and CHO, the most widely used recombinant protein production host. To realize improved engineered hosts, an increasing number of approaches involving DNA sequencing and synthesis, host rewriting technologies, computational methods, and organism engineering strategies must be used. Integrative workflows that enable application of the right combination of methods to the right production host could enable economical production solutions for emerging human health treatments.

Robotic assistive devices for rehabilitation have proven to be beneficial for many individuals with impaired limbs by providing accessible, consistent and cost-effective therapy. However, it is imp...

Traditional metabolic pathway engineering rarely considers the influence of molecular transport. Here, we describe the directed evolution of two heterologous transporters, Candida intermedia GXS1 and Scheffersomyces stipitis XUT3. Growth rate on xylose was improved up to 70% by mutant transporter expression. Most mutants were found to exhibit vastly improved V max values and display an increase in high cell density sugar consumption rates. Mixed glucose and xylose fermentations reveal that mutant transporters can alter the diauxic shift dynamics and the simultaneous sugar utilization capacity of the host strain. Analysis of mutations highlights several important residues influencing transporter function including point mutations at F40 of C. intermedia GXS1 and at E538 of S. stipitis XUT3. This work is the first to demonstrate that molecular transporter proteins can be improved for biotechnological applications through directed evolution in yeast.

Molecular transport is a key process in cellular metabolism. This step is often limiting when using a nonnative carbon source, as exemplified by xylose catabolism in Saccharomyces cerevisiae . As a step toward addressing this limitation, this study seeks to characterize monosaccharide transport preference and efficiency. A group of 26 known and putative monosaccharide transport proteins was expressed in a recombinant Saccharomyces cerevisiae host unable to transport several monosaccharides. A growth-based assay was used to detect transport capacity across six different carbon sources (glucose, xylose, galactose, fructose, mannose, and ribose). A mixed glucose-and-xylose cofermentation was performed to determine substrate preference. These experiments identified 10 transporter proteins that function as transporters of one or more of these sugars. Most of these proteins exhibited broad substrate ranges, and glucose was preferred in all cases. The broadest transporters confer the highest growth rates and strongly prefer glucose. This study reports the first molecular characterization of the annotated XUT genes of Scheffersomyces stipitis and open reading frames from the yeasts Yarrowia lipolytica and Debaryomyces hansenii. Finally, a phylogenetic analysis demonstrates that transporter function clusters into three distinct groups. One particular group comprised of D. hansenii XylHP and S. stipitis XUT1 and XUT3 demonstrated moderate transport efficiency and higher xylose preferences.

The general central dogma frames the emergent properties of life, which make biology both necessary and difficult to engineer. In a process engineering paradigm, each biological process stream and process unit is heavily influenced by regulatory interactions and interactions with the surrounding environment. Synthetic biology is developing the tools and methods that will increase control over these interactions, eventually resulting in an integrative synthetic biology that will allow ground-up cellular optimization. In this review, we attempt to contextualize the areas of synthetic biology into three tiers: (1) the process units and associated streams of the central dogma, (2) the intrinsic regulatory mechanisms, and (3) the extrinsic physical and chemical environment. Efforts at each of these three tiers attempt to control cellular systems and take advantage of emerging tools and approaches. Ultimately, it will be possible to integrate these approaches and realize the vision of integrative synthetic biology when cells are completely rewired for biotechnological goals. This review will highlight progress towards this goal as well as areas requiring further research.

Hexose and pentose cofermentation is regarded as one of the chief obstacles impeding economical conversion of lignocellulosic biomass to biofuels. Over time, successful application of traditional metabolic engineering strategy has produced yeast strains capable of utilizing the pentose sugars (especially xylose and arabinose) as sole carbon sources, yet major difficulties still remain for engineering simultaneous, exogenous sugar metabolism. Beyond catabolic pathways, the focus must shift towards non-traditional aspects of cellular engineering such as host molecular transport capability, catabolite sensing and stress response mechanisms. This review highlights the need for an approach termed 'panmetabolic engineering', a new paradigm for integrating new carbon sources into host metabolic pathways. This approach will concurrently optimize the interdependent processes of transport and metabolism using novel combinatorial techniques and global cellular engineering. As a result, panmetabolic engineering is a whole pathway approach emphasizing better pathways, reduced glucose-induced repression and increased product tolerance. In this paper, recent publications are reviewed in light of this approach and their potential to expand metabolic engineering tools. Collectively, traditional approaches and panmetabolic engineering enable the reprogramming of extant biological complexity and incorporation of exogenous carbon catabolism.