Biomedical subjects

Xiaodong Gu

Publications and source records attributed to Xiaodong Gu.

3 recordsLinked to original sources

PubMed2005

Wild-type Smad3 gene enhances the osteoblastic differentiation of rat bone marrow-derived mesenchymal stem cells in vitro.

This study examined the effect of wild-type Smad3 gene on the osteoblastic differentiation of rat bone marrow-derived mesenchymal stem cells in vitro. Bone marrow-derived mesenchymal stem cells (MSCs) were stably transfected with the complexes of pcDNA3. 0-Myc-Smad3 or pcDNA3. 0-Myc-Smad3deltaC and Lipofectamine reagent. Immunofluorescence staining was performed to evaluate the c-Myc signal in MSCs. The cell proliferation was detected by MTT method. To clarify the osteoblastic characteristics in stably transfected MSCs, alkaline phosphatase (ALP) mRNA and core binding factor alpha1 (Cbfa1) mRNA were investigated by RT-PCR, and ALP activity and mineralization were examined by p-nitrophenolphosphate method and alizarin red staining respectively. PD98059, a specific inhibitor of the ERK signaling pathway, was used to determine the role of ERK in Smad3-MSCs osteoblastic differentiation. c-Myc signal was detected in Smad3-MSCs and Smad3 deltaC-MSCs. The proliferation of Smad3-MSCs was slower than that of Smad3deltaC-MSCs or V-MSCs. The relative levels of ALP mRNA and Cbfal mRNA in Smad3-MSCs, as well as ALP activity and mineralization, were markedly higher than those in Smad3deltaC-MSCs or V-MSCs. Although ALP activity and mineralization were slightly lower in Smad3-MSCs treated with PD98059 than in those without PD98059 treatment, no significant difference was found between them (P > 0.05). It is concluded that the wild-type Smad3 gene, which is a crucial component promoting bone formation, can inhibit the proliferation of MSCs and enhance the osteoblastic differentiation of uncommitted MSCs and the maturation of committed MSCs independent of the ERK signaling pathway.

Animals↗

PubMed2005

Image shadow removal using pulse coupled neural network.

This paper introduces an approach for image shadow removal by using pulse coupled neural network (PCNN), based on the phenomena of synchronous pulse bursts in the animal visual cortexes. Two shadow-removing criteria are proposed. These two criteria decide how to choose the optimal parameter (the linking strength beta). The computer simulation results of shadow removal based on PCNN show that if these two criteria are satisfied, shadows are removed completely and the shadow-removed images are almost as the same as the original nonshadowed images. The shadow removal results are independent of changes of intensities of shadows in some range and variations of the places of shadows. When the first criterion is satisfied, even if the second criterion is not satisfied, as to natural grey images that have abundant grey levels, shadows also can be removed and PCNN shadow-removed images retain the shapes of the objects in original images. These two criteria also can be used for color images by dividing a color image into three channels (R, G, B). For shadows varying drastically, such as the noisy points in images, these two criteria are still right, but difficult to satisfy. Therefore, this approach can efficiently remove shadows that do not include the random noise.

Algorithms↗

PubMed2002

Speciation analysis of aluminium(III) in natural waters and biological fluids by complexing with various catechols followed by differential pulse voltammetry detection.

The biological effects of aluminium have received much attention in recent years. Speciation of Al is of basic relevance as it concerns its reactivity and bioavailability. A differential pulse voltammetry (DPV) procedure is proposed for speciation analysis of Al(III) in natural waters and biological fluids using six catechols (L-dopa, dopamine, epinephrine, norepinephrine, caffeic acid and o-benzenediol) as electroactive ligands. The decrease of the DPV anodic peak current for each catechol ligand is linear with the increase of Al concentration. This speciation analysis idea is based on the measurement of the complexation capacity, namely, different affinities of Al(III) for catechols and organic ligands under two pH conditions. The labile monomeric Al fraction (mainly inorganic aluminium) is determined at pH 4.6, while the total monomeric Al fraction is determined at pH 8.5. The principle for Al(III) speciation analysis by an electrochemical method is discussed. This sensitive and simple fractionation method is successfully applied to the speciation analysis of Al in natural waters and the results agree well with those of Driscoll's method. The speciation analysis of Al in biological fluids is also explored and the results are compared with those obtained by ultrafiltration and dialysis. Compared with other speciation protocols the electrochemical method possesses some remarkable advantages: rapidity, high sensitivity, cheap instrumentation and a simple operation procedure.

Aluminum↗