Expression and purification of an NP-hoc fusion protein: Utilizing influenza a nucleoprotein and phage T4 hoc protein.

Influenza poses a substantial health risk, with infants and the elderly being particularly susceptible to its grave impacts. The primary challenge lies in its rapid genetic evolution, leading to the emergence of new Influenza A strains annually. These changes involve punctual mutations predominantly affecting the two main glycoproteins: Hemagglutinin (HA) and Neuraminidase (NA). Our existing vaccines target these proteins, providing short-term protection, but fall short when unexpected pandemics strike. Delving deeper into Influenza's genetic makeup, we spotlight the nucleoprotein (NP) - a key player in the transcription, replication, and packaging of RNA. An intriguing characteristic of the NP is that it is highly conserved across all Influenza A variants, potentially paving the way for a more versatile and broadly protective vaccine. We designed and synthesized a novel NP-Hoc fusion protein combining Influenza A nucleoprotein and T4 phage Hoc, cloned using Gibson assembly in E. coli, and purified via ion affinity chromatography. Simultaneously, we explore the T4 coat protein Hoc, typically regarded as inconsequential in controlled viral replication. Yet, it possesses a unique ability: it can link with another protein, showcasing it on the T4 phage coat. Fusing these concepts, our study designs, expresses, and purifies a novel fusion protein named NP-Hoc. We propose this protein as the basis for a new generation of vaccines, engineered to guard broadly against Influenza A. The excitement lies not just in the immediate application, but the promise this holds for future pandemic resilience, with NP-Hoc marking a significant leap in adaptive, broad-spectrum influenza prevention.

Synthetic Biology Tools for Engineering Microbial Cells to Fight Superbugs.

With the increase in clinical cases of bacterial infections with multiple antibiotic resistance, the world has entered a health crisis. Overuse, inappropriate prescribing, and lack of innovation of antibiotics have contributed to the surge of microorganisms that can overcome traditional antimicrobial treatments. In 2017, the World Health Organization published a list of pathogenic bacteria, including Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Escherichia coli (ESKAPE). These bacteria can adapt to multiple antibiotics and transfer their resistance to other organisms; therefore, studies to find new therapeutic strategies are needed. One of these strategies is synthetic biology geared toward developing new antimicrobial therapies. Synthetic biology is founded on a solid and well-established theoretical framework that provides tools for conceptualizing, designing, and constructing synthetic biological systems. Recent developments in synthetic biology provide tools for engineering synthetic control systems in microbial cells. Applying protein engineering, DNA synthesis, and in silico design allows building metabolic pathways and biological circuits to control cellular behavior. Thus, synthetic biology advances have permitted the construction of communication systems between microorganisms where exogenous molecules can control specific population behaviors, induce intracellular signaling, and establish co-dependent networks of microorganisms.

Design and in silico analysis of a whole-cell biosensor able to kill methicillin-resistant Staphylococcus aureus.

The rise of methicillin-resistant Staphylococcus aureus (MRSA) infections has gained concern throughout the world over the past decades. Alternative therapeutic agents to antibiotics are rapidly growing to impede the proliferation of MRSA-caused infections. Lately, synthetic biology techniques have developed whole-cell biosensors by designing gene circuitry capable of sensing quorum-sensing (QS) molecules of pathogens and triggering expression of an antimicrobial moiety that kills MRSA and therefore prevents its further proliferation. Here, an E. coli was engineered in silico to act as a whole-cell biosensor that senses QS molecules from MRSA and triggers the expression of a bacteriocin that kills MRSA. To achieve this functionality, biosensor and bacteriocin modules were constructed and assembled into a vector. Both modules were codon-optimized to increase the yield production of the recombinant proteins. We then demonstrate in silico that the construction of a dual biosensor-killer plasmid, which holds two genetical modules known as biosensor and bacteriocin modules, enables the recombinant host to sense QS molecules from MRSA. Our designed whole-cell biosensor demonstrates in silico its ability to produce and secrete the bacteriocin as a function of the external concentration of autoinducer peptide from MRSA. These in silico results unravel the possibility of designing antimicrobial smarter therapeutics against resistant pathogens.

LED control of gene expression in a nanobiosystem composed of metallic nanoparticles and a genetically modified E. coli strain.

BACKGROUND: Within the last decade, genetic engineering and synthetic biology have revolutionized society´s ability to mass-produce complex biological products within genetically-modified microorganisms containing elegantly designed genetic circuitry. However, many challenges still exist in developing bioproduction processes involving genetically modified microorganisms with complex or multiple gene circuits. These challenges include the development of external gene expression regulation methods with the following characteristics: spatial-temporal control and scalability, while inducing minimal permanent or irreversible system-wide conditions. Different stimuli have been used to control gene expression and mitigate these challenges, and they can be characterized by the effect they produce in the culture media conditions. Invasive stimuli that cause permanent, irreversible changes (pH and chemical inducers), non-invasive stimuli that cause partially reversible changes (temperature), and non-invasive stimuli that cause reversible changes in the media conditions (ultrasound, magnetic fields, and light). METHODS: Opto-control of gene expression is a non-invasive external trigger that complies with most of the desired characteristics of an external control system. However, the disadvantage relies on the design of the biological photoreceptors and the necessity to design them to respond to a different wavelength for every bioprocess needed to be controlled or regulated in the microorganism. Therefore, this work proposes using biocompatible metallic nanoparticles as external controllers of gene expression, based on their ability to convert light into heat and the capacity of nanotechnology to easily design a wide array of nanostructures capable of absorbing light at different wavelengths and inducing plasmonic photothermal heating. RESULTS: Here, we designed a nanobiosystem that can be opto-thermally triggered using LED light. The nanobiosystem is composed of biocompatible gold nanoparticles and a genetically modified E. coli with a plasmid that allows mCherry fluorescent protein production at 37 °C in response to an RNA thermometer. CONCLUSIONS: The LED-triggered photothermal protein production system here designed offers a new, cheaper, scalable switchable method, non-destructive for living organisms, and contribute toward the evolution of bioprocess production systems.