A5030387546- Extracellular vesicles in disease
- MXene and MAX Phase Materials
- Glycosylation and Glycoproteins Research
- Galectins and Cancer Biology
- Advanced biosensing and bioanalysis techniques
- Genomics and Phylogenetic Studies
- RNA Interference and Gene Delivery
- Advanced Memory and Neural Computing
- Energy Harvesting in Wireless Networks
- Catalytic Processes in Materials Science
- Nanomaterials for catalytic reactions
- Cell Adhesion Molecules Research
- Salivary Gland Tumors Diagnosis and Treatment
Slovak Academy of Sciences
2023-2025
Institute of Chemistry of the Slovak Academy of Sciences
2024-2025
Prostate cancer (PCa) is the second most common cancer. In this paper, isolation and properties of exosomes as potential novel liquid biopsy markers for early PCa diagnosis are investigated using two prostate human cell lines, i.e., benign (control) line RWPE1 carcinoma 22Rv1. Exosomes produced by both lines characterised various methods including nanoparticle-tracking analysis, dynamic light scattering, scanning electron microscopy atomic force microscopy. addition, surface plasmon...
Herein, the basic properties, composition, and isolation methods for separation of exosomes are described, since they can be a rich source disease biomarkers. Then an introduction to MXenes, novel class 2D nanomaterials with interesting properties applicable in numerous fields including biosensing is provided. Also, aptamers described as alternative antibodies robust biorecognition analytes interest. The final part article gives examples which these three key components integrated sensitive...
This review briefly introduces readers to an area where glycomics meets modern oncodiagnostics with a focus on the analysis of sialic acid (Neu5Ac)-terminated structures. We present biochemical perspective aberrant sialylation during tumourigenesis and its significance, as well analytical detection these structures using different approaches for diagnostic therapeutic purposes. also provide comparison other established liquid biopsy approaches, we mathematically define early-stage cancer...