Learn More
The innervation of Meissner's corpuscles (Mc) is complex, consisting of different types of sensory nerve fibers. We investigated the neurochemistry of Mc in human digital skin by indirect immunofluorescence, using a wide panel of both general neuronal as well as neurotransmitter-related molecules. Structural proteins (protein gene product 9.5,(More)
The phosphatidylinositol 3-kinase (PI3K) signaling pathway is critical in modulating platelet functions. In the present study, we evaluated the effect of S14161, a recently identified pan-class I PI3K inhibitor, on platelet activation and thrombus formation. Results showed that S14161 inhibited human platelet aggregation induced by collagen, thrombin,(More)
Using a proteomic approach, we have previously shown that exposure to different concentrations of cisplatin during a 12-h period can lead to changes in nuclear protein expression and alternative splicing in HeLa cells. To further shed light on the DNA damage response (DDR) induced by cisplatin, we examined the nuclear proteome profiles of HeLa cells treated(More)
Interval-valued data appear as a way to represent the uncertainty affecting the observed values. Dealing with interval-valued information systems is helpful to generalize the applications of rough set theory. Attribute reduction is a key issue in analysis of interval-valued data. Existing attribute reduction methods for single-valued data are unsuitable for(More)
The involvement of DNA damage in heat shock-induced cell death remains controversial. To investigate whether heat shock can induce DNA damage, we tested the induction of gammaH2AX foci formation, a sensitive indicator for DNA double strand breaks (DSBs), by heat shock treatment in several cell lines including HeLa, CHL, HepG2, and 293 cells, as well as(More)
Attribute selection is considered as the most characteristic result in rough set theory to distinguish itself to other theories. However, existing attribute selection approaches can not handle partially labeled data. So far, few studies on attribute selection in partially labeled data have been conducted. In this paper, the concept of discernibility pair(More)
BACKGROUND/AIMS Previous studies have demonstrated that leonurine, a unique alkaloid compound of Herba leonuri, can exert anti-oxidative and anti-inflammatory effects on the development of atherosclerosis (AS). This study was designed to investigate the effects of leonurine on cholesterol efflux from THP-1 macrophage-derived foam cells and development of(More)
The matrix completion problem is restoring a given matrix with missing entries when handling incomplete data. In many existing researches, rank minimization plays a central role in matrix completion. In this paper, noticing that the locally linear reconstruction can be used to approximate the missing entries, we view the problem from a new perspective and(More)