With the advancement of RNA-seq technology and machine learning, training large-scale RNA-seq data from databases with machine learning models can generally identify genes with important regulatory roles that were previously missed by standard linear analytic methodologies. Finding tissue-specific genes could improve our comprehension of the relationship between tissues and genes. However, few machine learning models for transcriptome data have been deployed and compared to identify tissue-specific genes, particularly for plants.
View Article and Find Full Text PDFGlioblastoma multiforme (GBM) is the most common and severe form of primary tumor in the central nervous system of adults which has poor prognosis and limited therapeutic options. Epidermal growth factor receptor (EGFR) inhibitor, such as gefitinib (brand name Iressa, ZD1839), has been approved as a targeted medicine for several types of tumor including glioblastoma multiforme. However, gefitinib exerted very limited effects on some glioblastoma multiforme patients after a period of treatment due to intrinsic and acquired drug resistance.
View Article and Find Full Text PDFSaponins are the major chemicals from Rosa laevigata Michx fruit. However, there have no papers to report the activities of the natural product against liver damage. In the present work, total saponins from R.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
December 2012
Diabetes is a global threat threatening human health in the world, with an increasing incidence rate in recent years. The disorder of glucose metabolism is one of the major factors. As relevant glucose metabolic enzymes such as alpha-glucosidase, glucose-6-phosphatase (G-6-P), glycogen phosphorylase (GP) and glycogen synthase kinase-3 (GSK-3) get involved in and control the process of glucose metabolism, the regulation of the activity of glucose metabolic enzymes is of significance to the treatment of diabetes.
View Article and Find Full Text PDFJ Chromatogr B Analyt Technol Biomed Life Sci
May 2009
A sensitive and specific electrospray ionization liquid chromatography-tandem mass spectrometry method was developed to detect diosgenin in the plasma of normal and hyperlipidemic rats. Diosgenin was extracted with n-hexane-ethyl acetate (9:1, v/v) using sarsasapogenin as an internal standard. With multiple reaction monitoring modes, linear calibration curves were obtained in the range 10-1500 ng/mL (r>or=0.
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