A5074340315- Extracellular vesicles in disease
- Nanopore and Nanochannel Transport Studies
- MicroRNA in disease regulation
- Cell Adhesion Molecules Research
- Ion Channels and Receptors
- Microbial Inactivation Methods
- Nanoplatforms for cancer theranostics
- Gold and Silver Nanoparticles Synthesis and Applications
- Insect Pest Control Strategies
- Dental Implant Techniques and Outcomes
- Postharvest Quality and Shelf Life Management
- Anodic Oxide Films and Nanostructures
- Mosquito-borne diseases and control
- Advanced biosensing and bioanalysis techniques
- Thermal properties of materials
- Virology and Viral Diseases
- Biosensors and Analytical Detection
- Circular RNAs in diseases
- Microfluidic and Bio-sensing Technologies
- Cardiovascular Disease and Adiposity
- RNA Interference and Gene Delivery
- Monoclonal and Polyclonal Antibodies Research
- Biomarkers in Disease Mechanisms
The University of Queensland
2015-2024
Translational Research Institute
2016
Novartis (United Kingdom)
2014
Exosomes are vesicles which have garnered interest due to their diagnostic and therapeutic potential. Isolation of pure yields exosomes from complex biological fluids whilst preserving physical characteristics is critical for downstream applications. In this study, we use 100 nm-liposomes 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) cholesterol as a model system assess the effect exosome isolation protocols on vesicle recovery size distribution using single-particle analysis method. We...
Monitoring targeted therapy in real time for cancer patients could provide vital information about the development of drug resistance and improve therapeutic outcomes. Extracellular vesicles (EVs) have recently emerged as a promising biomarker, EV phenotyping shows high potential monitoring treatment responses. Here, we demonstrate feasibility patient responses based on plasma phenotypic evolution using multiplex phenotype analyzer chip (EPAC). EPAC incorporates nanomixing-enhanced microchip...
Size distribution and concentration measurements of exosomes are essential when investigating their cellular function uptake. Recently, a particle size measurement platform known as tunable resistive pulse sensing (TRPS) has seen increased use for the characterization exosome samples. TRPS measures brief increase in electrical resistance (a pulse) produced by individual submicrometer/nanoscale particles they translocate through size-tunable submicrometer/micrometer-sized pore, embedded an...
Abstract The field of extracellular vesicle (EV) research has rapidly expanded in recent years, with particular interest their potential as circulating biomarkers. Proteomic analysis EVs from clinical samples is complicated by the low abundance EV proteins relative to highly abundant such albumin and apolipoproteins. To overcome this, size exclusion chromatography (SEC) been proposed a method enrich whilst depleting protein contaminants; however, optimal SEC parameters for proteomics have...
// Rebecca Macklin 1 , Haolu Wang 2 Dorothy Loo Sally Martin 3, 4 Andrew Cumming Na Cai Lane 1, Natalia Saenz Ponce Eleni Topkas Kerry Inder Nicholas A Saunders Liliana Endo-Munoz The University of Queensland Diamantina Institute, Queensland, Translational Research Brisbane, Australia Therapeutics Centre, School Medicine, 3 Brain Australian Institute for Bioengineering and Nanotechnology, Correspondence to: Endo-Munoz, email: l.munoz@uq.edu.au Keywords: osteosarcoma, metastasis,...
Abstract The field of precision oncology is rapidly progressing toward integrated “multiomics” analysis multiple molecular species (such as DNA, RNA, or proteins) to provide a more complete profile tumor heterogeneity. Micro/nanomaterial‐based systems, which leverage the unique properties miniature materials, are currently well positioned expand beyond rudimentary biomarker detection multiomics signature analysis. To enable clinical translation, rational design and implementation...
Identifying small extracellular vesicle (sEV) subpopulations based on their different molecular signatures could potentially reveal the functional roles in physiology and pathology. However, it is a challenge to achieve this aim due nano-sized dimensions of sEVs, low quantities biological cargo each sEV carries, our incomplete knowledge identifying features capable separating heterogeneous subpopulations. Here, sensitive, multiplexed, nano-mixing-enhanced subpopulation characterization...
Abstract Much recent research has been dedicated to exploring the utility of extracellular vesicles (EVs) as circulating disease biomarkers. Underpinning this work is assumption that molecular cargo EVs directly reflects originating cell. Few attempts have made, however, empirically validate on ‐omic level. To end, we performed an integrative multi‐omic analysis a panel breast cancer cell lines and corresponding EVs. Whole transcriptome validated cellular remained stable when cultured cells...
The canonical transient receptor potential channel subfamily (TRPC3, TRPC6, and TRPC7) contains Ca(2+) permeable non-selective cation channels that are widely expressed in a variety of tissues. There is increasing evidence implicating TRPC channels, particularly TRPC3 6, physiological pathophysiological processes, eliciting interest these as novel drug targets. Electrophysiology remains benchmark technique for measuring ion function accurately determining the pharmacological effects...
Bioengineered yeast bio-nanomaterials termed nanoyeasts displaying antibody single-chain variable fragments (scFvs) against diagnostic targets are a promising alternative to monoclonal antibodies (mAbs). A potential limitation for translating into tools is batch-to-batch variability. Herein, we demonstrate systematic approach cost-efficient production of highly specific that enabled accurate dengue virus (DENV) detection by immunoassay (2.5% CV). Yeasts bioengineered surface express...
In article number 1909306, Simon Puttick, Kevin M. Koo, Matt Trau, and co-workers discuss the use of micro/nanomaterial-based systems to facilitate “multiomics” cancer signature profiling in clinical settings. This multiomics can provide a complete profile tumor heterogeneity, as akin assembling whole jigsaw puzzle from separate pieces.