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91.
We have developed a new DNA chip whose substrate has a unique minute columnar array structure made of plastic. The DNA chip exhibits ultrahigh sensitivity, up to 100-fold higher than that of reference DNA chips, which makes it possible to monitor gene expression profiles even with very small amounts of RNA (0.1-0.01 microg of total RNA) without amplification. Differential expression ratios obtained with the new DNA chip were validated against those obtained with quantitative real-time PCR assays. This novel microarray technology would be a powerful tool for monitoring gene expression profiles, especially for clinical diagnosis.  相似文献   
92.
Delayed and incomplete release of Hg0 was reported in liver, blood, and spleen, but not in kidneys and brain, of mice simultaneously administered HgCl2 and Na2SeO3 for both inorganic and total mercury determination by Magos' method. This problem was overcome by the treatment of the tissue homogenate with an equal volume of 45% NaOH containing 1% cysteine·HCl at 40°C for more than 30 min and the use of the area under the peak of the mercury release curve on calculaton. In the case of administration of methylmercuric chloride instead of mercuric chloride, the influence of coexistent selenium was not observed for mercury determination by Magos' method in mice within 24 h after dosing.  相似文献   
93.
1. Effects of bath-applied recombinant human interleukin-1 (rhIL-1) and interleukin-2 (rhIL-2) on the acetylcholine (ACh)-induced K+ current recorded from identified neurons (R9 and R10) of Aplysia kurodai were investigated with voltage-clamp and pressure ejection techniques. 2. Bath-applied rhIL-1 and rhIL-2 (10-40 U/ml) reduced the ACh-induced current in the neurons without affecting the resting membrane conductance and holding current. 3. The suppressing effects of these cytokines on the current were completely reversible. 4. Heat-inactivated rhIL-1 and rhIL-2 were without effect. 5. These results suggest that the immunomodulators, IL-1 and IL-2, can modulate the ACh-induced response in the nervous system.  相似文献   
94.
Many studies have highlighted the difficulty inherent to the clinical application of fundamental neuroscience knowledge based on machine learning techniques. It is difficult to generalize machine learning brain markers to the data acquired from independent imaging sites, mainly due to large site differences in functional magnetic resonance imaging. We address the difficulty of finding a generalizable marker of major depressive disorder (MDD) that would distinguish patients from healthy controls based on resting-state functional connectivity patterns. For the discovery dataset with 713 participants from 4 imaging sites, we removed site differences using our recently developed harmonization method and developed a machine learning MDD classifier. The classifier achieved an approximately 70% generalization accuracy for an independent validation dataset with 521 participants from 5 different imaging sites. The successful generalization to a perfectly independent dataset acquired from multiple imaging sites is novel and ensures scientific reproducibility and clinical applicability.

Biomarkers for psychiatric disorders based on neuroimaging data have yet to be put to practical use. This study overcomes the problems of inter-site differences in fMRI data by using a novel harmonization method, thereby successfully constructing a generalizable brain network marker of major depressive disorder across multiple imaging sites.  相似文献   
95.
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