Biomedical subjects

M L Yuan

Publications and source records attributed to M L Yuan.

6 recordsLinked to original sources

PubMed1999

Optimization of preparative conditions for poly-DL-lactide- polyethylene glycol microspheres with entrapped Vibrio cholera antigens.

Poly-dl-lactide-polyethylene glycol (PELA) with different contents of polyethylene glycol(PEG) were synthesized and the PEG content was estimated according to the integral height of hydrogen shown in 1H-NMR. PELA microspheres containing V. cholera antigen, outer membrane protein (OMP) were prepared by a water-in-oil-in-water (W/O/W) based on solvent evaporation procedure. Antigen microspheres with smooth surface, suitable size for oral administration (0.5-5 microm), high loading efficiency (about 60%) and low level of residual solvent (lower than 20ppm) were obtained. Microspheres prepared from PELA with PEG content of about 10% achieved the highest loading efficiency among PELA copolymers and poly-dl-lactide (PLA) homopolymer, which suggested that microspheres size, morphology and the precipitation rate of polymer showed considerable relations with OMP loading efficiency. The regulation of the solvent components of the oil phase contributes to a stable emulsion W/O, and it is concluded that the stable emulsion W/O plays a significant role in improving the protein loading efficiency of obtained microspheres. The addition of stabilizer, such as gelatin and polyvinyl alcohol, into the internal water phase before emulsification produced no significant difference in OMP entrapment and microspheres size. A higher OMP loading efficiency was achieved by adding NaCl or adjusting the pH at the iso-electric point of OMP in the external water phase. It was indicated in vitro that PELA microspheres with smaller size showed larger extent of initial release and higher release rate, whereas microspheres with the diameter of 2.17 microm showed no apparent burst effect.

Antigens, Bacterial↗

PubMed1997

Variable expression of myoglobin among the hemoglobinless Antarctic icefishes.

The important intracellular oxygen-binding protein, myoglobin (Mb), is thought to be absent from oxidative muscle tissues of the family of hemoglobinless Antarctic icefishes, Channichthyidae. Within this family of fishes, which is endemic to the Southern Ocean surrounding Antarctica, there exist 15 known species and 11 genera. To date, we have examined eight species of icefish (representing seven genera) using immunoblot analyses. Results indicate that Mb is present in heart ventricles from five of these species of icefish. Mb is absent from heart auricle and oxidative skeletal muscle of all species. We have identified a 0.9-kb mRNA in Mb-expressing species that hybridizes with a Mb cDNA probe from the closely related red-blooded Antarctic nototheniid fish, Notothenia coriiceps. In confirmation that the 0.9-kb mRNA encodes Mb, we report the full-length Mb cDNA sequence of the ocellated icefish, Chionodraco rastrospinosus. Of the eight icefish species examined, three lack Mb polypeptide in heart ventricle, although one of these expresses the Mb mRNA. All species of icefish retain the Mb gene in their genomic DNA. Based on phylogeny of the icefishes, loss of Mb expression has occurred independently at least three times and by at least two distinct molecular mechanisms during speciation of the family.

Amino Acid Sequence↗

PubMed1997

Conservation of the myoglobin gene among Antarctic notothenioid fishes.

We determined the myoglobin cDNA sequence for seven Antarctic notothenioid fish species. These data identify mutations in the myoglobin gene for Champsocephalus gunnari and Pagetopsis macropterus, two icefish species that lack detectable quantities of the polypeptide but express myoglobin mRNA. a third species lacking myoglobin polypeptide, Chaenocephalus aceratus, is devoid of myoglobin mRNA and accordingly failed to produce myoglobin products on polymerase chain reaction (PCR) amplification. Myoglobin cDNA sequences were highly conserved among the species the express the protein, particularly in the coding region. Sequence variation among the myoglobin-expressing channichthyid species was 2.0% to 2.9% in the coding region and 2.6% to 3.3% over the entire cDNA. The same extent of variation, 1.6% to 3.2% in the coding sequence and 2.8% to 3.7% overall, was observed between the icefishes and more distantly related, red-blooded nototheniid species. The two species expressing mutant myoglobin mRNA, C. gunnari and P. macropterus, exhibited the highest degree of sequence variation among the fish myoglobins examined. Drift in the myoglobin sequence in these two species, and conservation of myoglobin cDNA among fishes from two distinct families, suggest that a selective pressure operates to maintain myoglobin in the species that express the protein.

Amino Acid Sequence↗

PubMed1994

The heat shock response of an antarctic alga is evident at 5 degrees C.

A subtidal seaweed collected in antarctic waters, Plocamium cartilagineum (L. Dix.), displayed induction of mRNAs encoding the 70 kDa heat shock protein (HSP70) and the ubiquitin polyprotein (UBI) when incubated at 5 degrees C. Maximal induction of HSP70 mRNA was observed when the alga was incubated at 10 degrees C for 1 h. Incubations at higher temperatures or for longer periods reduced the amount of HSP70 mRNA detected. Incubations at 20 degrees C or greater resulted in cell death. These data indicate that dispite the unusually low temperature of induction, this macrophyte exhibits a heat shock response similar to that of other organisms at temperatures 5 to 10 degrees C above usual growth conditions.

Heat-Shock Proteins↗

PubMedDate not supplied

Registration based on projective reconstruction technique for augmented reality systems.

In AR systems, registration is one of the most difficult problems currently limiting their application. In this paper, we propose a simple registration method using projective reconstruction. This method consists of two steps: embedding and tracking. Embedding involves specifying four points to build the world coordinate system on which a virtual object will be superimposed. In tracking, a projective reconstruction technique is used to track these four specified points to compute the model view transformation for augmentation. This method is simple, as only four points need to be specified at the embedding stage and the virtual object can then be easily augmented onto a real scene from a video sequence. In addition, it can be extended to a scenario using the projective matrix that has been obtained from previous registration results using the same AR system. The proposed method has three advantages: 1) It is fast because the linear least square method can be used to estimate the related matrix in the algorithm and it is not necessary to calculate the fundamental matrix in the extended case. 2) A virtual object can still be superimposed on a related area even if some parts of the specified area are occluded during the whole process. 3) This method is robust because it remains effective even when not all the reference points are detected during the whole process, as long as at least six pairs of related reference points correspondences can be found. Some experiments have been conducted to validate the performance of the proposed method.

Algorithms↗

PubMedDate not supplied

Registration using natural features for augmented reality systems.

Registration is one of the most difficult problems in augmented reality (AR) systems. In this paper, a simple registration method using natural features based on the projective reconstruction technique is proposed. This method consists of two steps: embedding and rendering. Embedding involves specifying four points to build the world coordinate system on which a virtual object will be superimposed. In rendering, the Kanade-Lucas-Tomasi (KLT) feature tracker is used to track the natural feature correspondences in the live video. The natural features that have been tracked are used to estimate the corresponding projective matrix in the image sequence. Next, the projective reconstruction technique is used to transfer the four specified points to compute the registration matrix for augmentation. This paper also proposes a robust method for estimating the projective matrix, where the natural features that have been tracked are normalized (translation and scaling) and used as the input data. The estimated projective matrix will be used as an initial estimate for a nonlinear optimization method that minimizes the actual residual errors based on the Levenberg-Marquardt (LM) minimization method, thus making the results more robust and stable. The proposed registration method has three major advantages: 1) It is simple, as no predefined fiducials or markers are used for registration for either indoor and outdoor AR applications. 2) It is robust, because it remains effective as long as at least six natural features are tracked during the entire augmentation, and the existence of the corresponding projective matrices in the live video is guaranteed. Meanwhile, the robust method to estimate the projective matrix can obtain stable results even when there are some outliers during the tracking process. 3) Virtual objects can still be superimposed on the specified areas, even if some parts of the areas are occluded during the entire process. Some indoor and outdoor experiments have been conducted to validate the performance of this proposed method.

Algorithms↗