MicroRNAs (miRNAs) are fine regulators of gene expression which participate in the regulation of almost every phase of cell physiology, including development of immune cells and adjustment of immune response. In the studies with in vitro/in vivo model systems, specific miRNAs are revealed to have various roles in cardiovascular development and physiological functions. Furthermore, some studies have been done to understand the role of miRNAs about myocarditis, heart failure and coronary artery diseases. miRNAs crucial role in the pathogenesis of other rheumatic diseases have been investigated, however rheumatic carditis was not studied. The aim of this study is to assess values of miRNAs in children with rheumatic carditis and compare them with healthy children. This study included 36 children with rheumatic carditis (mean aged 12.1 ± 2.1 years) and age-gender matched 35 healthy controls (mean aged 11.1 ± 2.3 years). Conventional echocardiography was performed to all subjects. Using real-time polymerase chain reaction, the expression of some miRNAs (hsamiR-16-5p, hsa-miR-221-3p, hsa-miR-223-3p, hsa-miR-10a-5p, hsa-miR-24-3p, hsamiR-92a-3p, hsa-iR-320a, hsa-miR-21-5p, hsa-miR-155-5p, hsa-miR-132-3p, hsamiR-146a-5p, hsa-miR-499a-5p, hsa-miR-1, hsa-miR-125, hsa-miR-196a-5p, hsa-miR-130b-3p, hsa-miR-133b, hsa-miR150-5p,hsa-miR-204-5p, hsa-miR-203a) were analyzed. hsa-miR-16-5p(-1.46 fold, p < 0.01), hsa-miR-223-3p(-1.46 fold, p < 0.01), and hsa-miR-92a-3p(-1.27 fold, p < 0.05) expressions in the patients were lower than those of controls, whereas other examined miRNAs did not differently express between the groups. Results of the study demonstrated that significant downregulation of hsa-miR-16-5p, hsa-miR-223-3p and hsa-miR-92a-3p in children with rheumatic carditis. Since, this is the first study in children with rheumatic carditis, further studies are needed for lightening whether these miRNAs might be helpful as biomarkers.
In this study, Data Mining, one of the latest technologies of the Information Systems, was introduced and Classification a Data Mining method and the Classification algorithms were discussed. A classification was applied by using C4.5 decision tree algorithm on a dataset about Labor Relations from http://archive.ics.uci.edu/ml/datasets.html. Finally, C4.5 algorithm was compared to some other decision tree algorithms. C4.5 was the one of the successful classifier.
In this paper, a table-top, reflective mode, laser scanning confocal microscopy system that is capable of scanning the target specimen alternately through various scanning devices and methods is proposed. We have developed a laser scanning confocal microscopy system to utilize combinations of various scanning devices and methods and to be able to characterize the optical performance of different scanners and micromirrors that are frequently used in scanning microscopy systems such as multiphoton microscopy, optical coherence tomography, or confocal microscopy. By integrating the scanner to be characterized on the same optical path with a galvanometric scan mirror, which is the conventional benchmarking scanning unit in a typical scanning microscope, we obtain two major advantages: (1) microscopy images are automatically acquired from the same location on the target specimen without having any time- consuming alignment problem and accordingly provide a high-quality optical comparison opportunity, and (2) it totally eliminates the utilization of a second scanning microscopy to benchmark the performance of the scanner-based system and considerably reduces the time spent for imaging, which is a crucial factor for a freshly excised tissue, especially under a fluorescence microscope. The system is composed of a 658 nm laser source, collimation optics, a 2D galvanometer, a 2D polymer micro-scanner, an objective lens with a numerical aperture of 0.40, a 100 μm pinhole, a PMT, a DAQ card and peripheral electronics as well as a Matlab software that simultaneously controls the system through a personal computer. Prototype of the proposed flexible LSCM system is first optically characterized using a USAF resolution target. Subsequently, we provided images of red blood and bacteria cells to demonstrate the systems’ capability for clinical diagnostics. It is reported that maximum FOV and lateral resolution of the proposed LSCM are measured to be 420 μm x 360 μm and 1 μm with galvanometer and, and 117 μm x 117 μm and 3.2 μm with the polymer scanner unit, respectively.
This paper presents an electronic system that controls the entire operation of a laser scanning microscopy system through a DAQ card. Proposed system does not only create the required electro-coil driving signal peculiar to magnetically actuated micro-scanner that enables the rasterscanning movement, but also is responsible from the image acquisition part by both serially gathering the laser intensity data and using it to construct a meaningful microscopy image. Micro-scanner which is fabricated using Ni as the structural material is utilized in the system. The microscanner's slow and fast scan frequencies are measured to be 250 Hz and 1560 Hz, respectively. Model of the DAQ card used in the system is NI-6356 which has maximum 5 mA current and 10 V voltage outputs. A power amplifier circuit with LM 386 is designed and added to the system for increasing field-of-view of the micro-scanner. The operation of the proposed system is demonstrated by acquiring data and constructing images from the USAF resolution target.
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