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Biomedical subjects

E Marcon

Publications and source records attributed to E Marcon.

3 recordsLinked to original sources

Male mouse meiotic chromosome cores deficient in structural proteins SYCP3 and SYCP2 align by homology but fail to synapse and have possible impaired specificity of chromatin loop attachment.

The targeted deletion of the meiotic chromosome core component MmSYCP3 results in chromosome synaptic failure at male meiotic prophase, extended meiotic chromosomes, male sterility, oocyte aneuploidy and absence of the MmSYCP2 chromosome core component. To test the functions of SYCP2 and SYCP3 proteins in the cores, we determined the effect of their deletion on homology recognition by whole chromosome painting and the effect on chromatin loop attachment to the cores with endogenous and exogenous sequences. Because we observed that the alignment of cores is between homologs, it suggested that alignment is not a function of the chromosome core components but might be mediated by chromatin-chromatin interactions. The alignment function therefore appears to be separate from intimate synapsis function of homologous cores that is observed to be defective in the SYCP3-/- males. To examine the functions of the SYCP2 and 3 core proteins in chromatin loop attachment, we measured the loop sizes of the centromeric major satellite chromatin and the organization of an exogenous transgene in SYCP3+/+ and SYCP3-/- males. We observed that these satellite chromatin loops have a normal appearance in SYCP3-/- males, but the loop regulation of a 2-Mb exogenous lambda phage insert appears to be altered. Normally the insert fails to attach to the core except by flanking endogenous sequences, but in the absence of SYCP2 and SYCP3, there appears to be multiple attachments to the core. This suggests that the selective preference for the attachment of mouse sequences to the chromosome core in the wild-type male is impaired in the SYCP3-/- male. Apparently the SYCP2 and SYCP3 proteins function in the specificity of chromatin attachment to the chromosome core.

Animals↗

[The industrial management and the management of surgical units].

Management of operating rooms is moving nowadays. Financial constraints as well as new operating practices prompt the hospital manager to optimise the operating room utilisation. The manufacturing systems faced a similar situation in the early 1980, due to the increase in the cost of the energetic products and the new competitive environment. Manufacturers had to improve dramatically their management capabilities in order to overcome their financial and technical difficulties. If the manufacturing management is extensively developed nowadays, the operating room is still running on an intuitive, individual and manual basis. The purpose of this review is to describe the main features of the manufacturing management and to identify those relevant to the management of operating rooms.

Hospital Administration↗

Optimisation of shape kernel and threshold in image-processing motion analysers.

The aim of the work is to optimise the image processing of a motion analyser. This is to improve accuracy, which is crucial for neurophysiological and rehabilitation applications. A new motion analyser, ELITE-S2, for installation on the International Space Station is described, with the focus on image processing. Important improvements are expected in the hardware of ELITE-S2 compared with ELITE and previous versions (ELITE-S and Kinelite). The core algorithm for marker recognition was based on the current ELITE version, using the cross-correlation technique. This technique was based on the matching of the expected marker shape, the so-called kernel, with image features. Optimisation of the kernel parameters was achieved using a genetic algorithm, taking into account noise rejection and accuracy. Optimisation was achieved by performing tests on six highly precise grids (with marker diameters ranging from 1.5 to 4 mm), representing all allowed marker image sizes, and on a noise image. The results of comparing the optimised kernels and the current ELITE version showed a great improvement in marker recognition accuracy, while noise rejection characteristics were preserved. An average increase in marker co-ordinate accuracy of +22% was achieved, corresponding to a mean accuracy of 0.11 pixel in comparison with 0.14 pixel, measured over all grids. An improvement of +37%, corresponding to an improvement from 0.22 pixel to 0.14 pixel, was observed over the grid with the biggest markers.

Algorithms↗