Hub genes for early diagnosis and therapy of adamantinomatous craniopharyngioma.

BACKGROUND: Adamantinomatous craniopharyngioma (ACP) is a subtype of craniopharyngioma, a neoplastic disease with a benign pathological phenotype but a poor prognosis in the sellar region. The disease has been considered the most common congenital tumor in the skull. Therefore, this article aims to identify hub genes that might serve as genetic markers of diagnosis, treatment, and prognosis of ACP. METHODS: The procedure of this research includes the acquisition of public data, identification and functional annotation of differentially expressed genes (DEGs), construction and analysis of protein-protein interaction network, and the mining and analysis of hub genes by Spearman-rho test, multivariable linear regression, and receiver operator characteristic curve analysis. Quantitative real-time polymerase chain reaction was used to detect the level of mRNA of relative genes. RESULTS: Among 2 datasets, a total of 703 DEGs were identified, mainly enriched in chemical synaptic transmission, cell adhesion, odontogenesis of the dentin-containing tooth, cell junction, extracellular region, extracellular space, structural molecule activity, and structural constituent of cytoskeleton. The protein-protein interaction network was composed of 4379 edges and 589 nodes. Its significant module had 10 hub genes, and SYN1, SYP, and GRIA2 were significantly down-regulated with ACP. CONCLUSION: In a word, we find out the DEGs between ACP patients and standard samples, which are likely to play an essential role in the development of ACP. At the same time, these DEGs are of great value in tumors' diagnosis and targeted therapy and could even be mined as biological molecular targets for diagnosing and treating ACP patients.

Effects of Exogenous Fusarium oxysporum and Trichoderma viride on Soil Fungal Community of Panax ginseng / 中国实验方剂学杂志

ObjectiveTo investigate the effects of exogenous Fusarium oxysporum and Trichoderma viride on the diversity of soil fungal community and carbon metabolic function of cultivated Panax ginseng. MethodIllumina HiSeq 2500 high-throughput sequencing combined with Biolog-ECO was used to analyze the species diversity and functional diversity of soil fungal communities in P. ginseng soil under different exogenous treatments. ResultThe results of high-throughput sequencing showed that the number and species of microorganisms in the soil were significantly changed after exogenous microorganisms were added. The soil fungi with relative abundance greater than 1% included Mortierella sp.，Fusarium sp.，Humicola sp.，and Simplicillium sp. Mortierella sp. in each treatment group significantly increased. Humicola sp. and Simplicillium sp. could be induced to increase by exogenous addition of F. oxysporum，while T. viride at a high concentration could significantly inhibit the growth of F. oxysporum. As revealed by Biolog and principal component analysis （PCA），the average well color development （AWCD） in the high-dose T. viride group （MG） was significantly higher than that in the control group （QS）and the low-dose F. oxysporum group（LD）. The utilization abilities for amino acids，carboxylic acids，polymers， and amines were enhanced in the MG group，but the microbial metabolic activity was reduced in the high-dose F. oxysporum group （LG）. There was no significant increase in the utilization of phenolic acids by soil microorganisms in both groups. ConclusionExogenous addition of F. oxysporum can lead to the growth and reproduction of other pathogenic fungi. Exogenous addition of T. viride can enhance the soil fungal community structure and metabolic diversity，inhibit the proliferation of F. oxysporum，and improve the soil microbial environment of cultivated P. ginseng.

Hub biomarkers for the diagnosis and treatment of glioblastoma based on microarray technology.

BACKGROUND: Glioblastoma (GBM) is the most common clinical intracranial malignancy worldwide, and the most common supratentorial tumor in adults. GBM mainly causes damage to the brain tissue, which can be fatal. This research explored potential gene targets for the diagnosis and treatment of GBM using bioinformatic technology. METHODS: Public data from patients with GBM and controls were downloaded from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) were identified by Gene Expression Profiling Interactive Analysis (GEPIA) and Gene Expression Omnibus 2R (GEO2R). Construction of the protein-protein interaction network and the identification of a significant module were performed. Subsequently, hub genes were identified, and their expression was examined and compared by real-time quantitative (RT-q)PCR between patients with GBM and controls. RESULTS: GSE122498 (GPL570 platform), GSE104291 (GPL570 platform), GSE78703_DMSO (GPL15207 platform), and GSE78703_LXR (GPL15207 platform) datasets were obtained from the GEO. A total of 130 DEGs and 10 hub genes were identified by GEPIA and GEO2R between patients with GBM and controls. Of these, strong connections were identified in correlation analysis between CCNB1, CDC6, KIF23, and KIF20A. RT-qPCR showed that all 4 of these genes were expressed at significantly higher levels in patients with GBM compared with controls. CONCLUSIONS: The hub genes CCNB1, CDC6, KIF23, and KIF20A are potential biomarkers for the diagnosis and treatment of GBM.

Correlation Between Effective Components Content and Color Values of Gentianae Radix et Rhizoma Based on Color Difference Principle / 中国实验方剂学杂志

Objective:To measure the color values of Gentianae Radix et Rhizoma and the contents of gentiopicroside,the appearance index value of the representative color was correlated with the intrinsic index value representing the quality,in order to explore the correlation between the contents of active ingredients and the color values,and provide basis for the quality evaluation of Gentianae Radix et Rhizoma. Method:The color difference values of Gentianae Radix et Rhizoma powder was measured by colorimeter.The content determination method of gentiopicroside in the 2015 edition of China Pharmacopoeia was adopted. The content of gentiopicroside was determined by HPLC,and the correlation and regression analysis was carried out by SPSS 21.0 software. Result:There was a significantly positive correlation between the contents of gentiopicroside and L* (representing colorshade)and E* ab(representing total color difference)(Pa* (representing color red-green direction) and b* (representing color yellow-blue direction) had a significantly negative correlation (PConclusion:The color value of Gentianae Radix et Rhizoma has a certain correlation with the content of gentiopicroside,and yellowish Gentianae Radix et Rhizoma contain more active ingredients, with a better quality.The contents of gentiopicroside active ingredients in Gentianae Radix et Rhizoma can be quickly predicted by determining the color difference values,which can provide a new idea for quality evaluation of this herb.