This opinion covers the field of molecular beacons (MBs), in which nucleic acids are molecularly engineered to have unique functions for the investigation of biomolecules. Molecular beacons have been used in a variety of formats, and this review discusses four: first, in vitro RNA and DNA monitoring; second, biosensors and biochips based on MBs; third, real-time monitoring of genes and gene expression in living systems; and finally, the next generation of molecular beacons that will be highly useful for studies with proteins, molecular beacon aptamers. These unique applications have shown that MBs holds great potential in genomics and proteomics where real-time molecular recognition with high sensitivity and excellent specificity is critical.
We have developed uniform core/shell nanoparticles, consisting of a silica layer coating and pigments or magnetite core, using a water-in-oil microemulsion method. The nanoparticles are highly luminescent and photostable with the size ranging from 5 nm to 400 nm. Bioconjugation of these silica nanoparticles adds unique biofunctions with various molecules such as enzymes, antibodies, and DNA molecules. Significant advantages have been shown in using bioconjugated nanoparticles for biosensing and bioimaging, such as cell staining, DNA detection and separation, rapid single bacterium detection, and biotechnological application in DNA protection.
Monitoring gene expression is at the center of research for a wide variety of medical, biological, and biotechnological applications. Currently no method exists for true multiple gene expression monitoring inside of a single living cell that allows for the gene expression profile of the cell to be directly compared with another single living cell. By microinjecting multiple molecular beacons with different fluorophores inside of single breast carcinoma cells and monitoring with advanced fluorescent microscopy, the expression of multiple genes can be simultaneously monitored inside single living cells. Using ratiometric analysis as a basis for the measurements allows the different gene expression levels to be compared from cell to cell. Not only does this allow differentiation of individual mRNA expression levels between multiple single cells but it also allows for mRNA expression trend analysis at the single cell level.
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