Search PubMed⌕ Search

Biomedical subjects

Qing-Ming Luo

Publications and source records attributed to Qing-Ming Luo.

7 recordsLinked to original sources

Optimization of the methods for introduction of amine groups onto the silica nanoparticle surface.

The luminescent silica nanoparticle has attracted the researchers' concentration in bioanalysis recently. Its extensive application is based on the immobilization of various biomolecules such as deoxyribonucleic acid, antibody, and so forth onto the surface. By comparing different introduction methods of amine groups, it was confirmed that the "two-step" route is more preferable by adding tetraethyl orthosilicate and 3-aminopropyl-(triethoxyl)silane in sequence, to attain ideal amine-modified silica nanoparticles. On this basis, carboxyl groups were derived from amine groups on the nanoparticle surface and then were activated by 1-ethyl-3-3-(3-dimethylaminopropyl) carbodiimide hydrochloride and N-hydroxy-succinimide. Finally, mouse monoclonal antihuman CD71 antibody (McAb CD71) and transferrin were effectively linked with the carboxyl groups and successfully labeled the receptors in the membrane of fibroblast cells, respectively.

Amines↗

Preparation of silica encapsulated quantum dot encoded beads for multiplex assay and its properties.

Novel -COOH modified polystyrene beads were prepared by sulfonation grafting, and the surface area and pore volume are greatly improved in comparison with the swelling-treated beads. The optimization coating time is 4 h, and the corresponding -COOH content is approximately 2.1 mmol/g. The scanning electron microscope results show that the silica particles deposited on the beads and formed a silica shell that decreases the leakage of quantum dots (QDs) preferably and improves the bar code stability greatly. The anti-photobleaching of silica-coated beads was studied systemically, and the results show that the half-decay time (t1/2) of the coated beads increases to 537 s--seven times longer than that of the uncoated ones. Further DNA probe hybridization experiments indicated that the coding signal and target signal can be detected simultaneously and that the assays based on these probe-conjugated silica/QD/polystyrene beads have good specificity and sensitivity that can detect a concentration as low as 0.01 microg/ml target DNA in denatured calf thymus DNA solution, indicating that it is feasible to use this kind of bead for multiplex analysis.

DNA↗

Comparisons of graph-structure clustering methods for gene expression data.

Although many numerical clustering algorithms have been applied to gene expression data analysis, the essential step is still biological interpretation by manual inspection. The correlation between genetic co-regulation and affiliation to a common biological process is what biologists expect. Here, we introduce some clustering algorithms that are based on graph structure constituted by biological knowledge. After applying a widely used dataset, we compared the result clusters of two of these algorithms in terms of the homogeneity of clusters and coherence of annotation and matching ratio. The results show that the clusters of knowledge-guided analysis are the kernel parts of the clusters of Gene Ontology (GO)-Cluster software, which contains the genes that are most expression correlative and most consistent with biological functions. Moreover, knowledge-guided analysis seems much more applicable than GO-Cluster in a larger dataset.

Algorithms↗

KDE Bioscience: platform for bioinformatics analysis workflows.

Bioinformatics is a dynamic research area in which a large number of algorithms and programs have been developed rapidly and independently without much consideration so far of the need for standardization. The lack of such common standards combined with unfriendly interfaces make it difficult for biologists to learn how to use these tools and to translate the data formats from one to another. Consequently, the construction of an integrative bioinformatics platform to facilitate biologists' research is an urgent and challenging task. KDE Bioscience is a java-based software platform that collects a variety of bioinformatics tools and provides a workflow mechanism to integrate them. Nucleotide and protein sequences from local flat files, web sites, and relational databases can be entered, annotated, and aligned. Several home-made or 3rd-party viewers are built-in to provide visualization of annotations or alignments. KDE Bioscience can also be deployed in client-server mode where simultaneous execution of the same workflow is supported for multiple users. Moreover, workflows can be published as web pages that can be executed from a web browser. The power of KDE Bioscience comes from the integrated algorithms and data sources. With its generic workflow mechanism other novel calculations and simulations can be integrated to augment the current sequence analysis functions. Because of this flexible and extensible architecture, KDE Bioscience makes an ideal integrated informatics environment for future bioinformatics or systems biology research.

Biological Science Disciplines↗

High-order photobleaching of green fluorescent protein inside live cells in two-photon excitation microscopy.

Combination of green fluorescent protein (GFP) and two-photon excitation fluorescence microscopy (TPE) has been used increasingly to study dynamic biochemical events within living cells, sometimes even in vivo. However, the high photon flux required in TPE may lead to higher-order photobleaching within the focal volume, which would introduce misinterpretation about the fine biochemical events. Here we first studied the high-order photobleaching rate of GFP inside live cells by measuring the dependence of the photobleaching rate on the excitation power. The photobleaching rate under one- and two-photon excitation increased with 1-power and 4-power of the incident intensity, respectively, implying the excitation photons might interact with excited fluorophore molecules and increase the probability of photobleaching. These results suggest that in applications where two-photon imaging of GFP is used to study dynamic molecular process, photobleaching may ruin the imaging results and attention should be paid in interpreting the imaging results.

Diagnostic Imaging↗

Quantum dot optical encoded polystyrene beads for DNA detection.

A novel multiplex analysis technology based on quantum dot (QD) optical encoded beads was studied. Carboxyl functionalized polystyrene beads, about 100 microm in size, were precisely encoded by the various ratios of two types of QDs whose emission wavelengths are 576 and 628 nm, respectively. Then the different encoded beads were covalently immobilized with different probes in the existing of sulfo-NHS and 1-[3-(Dimethylamino) propyl]-3-ethylcarbodiimide methiodide, and the probe density could reach to 3.1 mmol/g. These probe-linked encoded beads were used to detect the target DNA sequences in complex DNA solution by hybridization. Hybridization was visualized using fluorescein isothiocynate-labeled DNA sequences. The results show that the QDs and target signals can be obviously identified from a single-bead-level spectrum. This technology can detect DNA targets effectively with a detection limit of 0.2 microg/mL in complex solution.

Base Sequence↗