12 research outputs found

    Additional file 1: of Sensation seeking as a potential screening tool for suicidality in adolescence

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    The questionnaire of youth injury-related behavior survey. (DOCX 24 kb

    Biological activity of plant metabolites XII. Alkaloids of the family Corydalis DC. (Fumariaceae) and their biological activity

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    Salacova K.: Biological activity of plant metabolites. XII. Alkaloids of genus Corydalis DC. (Fumariaceae) and their biological activities. Diploma thesis, Charles University in Prague, Faculty of Pharmacy in Hradec Králové, Department of Pharmaceutical Botany and Ecology, Hradec Králové 2009, 83 p. The literature search focused on isoquinoline alkaloids of the genus Corydalis was carried out. The summary offers information about the chemical structure of alkaloids and the species of Corydalis (or morphological parts of the mother plant) from which the alkaloids were isolated. The biological activity of alkaloids and extracts from plants of the genus Corydalis was also described. Some species of the genus Corydalis present antifungal effects (C. incisa, C. longipes, C. chaerophylla), cytotoxic effects (C. incisa), hepatoprotective effects (C. saxicola), antithrombic effects (C. koidzumiana, C. ambigua), sedative, hypnotic and spasmolytic effects (C. pseudoadunca), anti-inflammatory and inhibitory effect on allergic reactions (C. turtschaninovii f. yanhusuo), inhibitory effect on acetylcholinesterase (C. bulbosa, C. turtschaninovii f. yanhusuo, C. cava, C. speciosa). Keywords: genus Corydalis, isoquinoline alkaloids, biological activity, acetylcholinesteras

    Explant cultures of Higher plants 32

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    Machackova H.: Explant cultures of Higher plants 32. Thesis, Charles University in Prague, Faculty of Pharmacy in Hradec Kralove, Department of Botanic and Environmental Science, Pharmacy (2010) This paper focused on the study of biotransformation activity of suspension culture Datura meteloides DC. ex Dunal after addition of arbutin exogenous precursor hydroquinone into nutrient medium. The percentage of arbutin content was tested depending on the type and concentration of growth regulator in nutrient medium (IAA, IBA - concentrations of 0,1; 1,0; 10,0 mg/l), concentration of arbutin precursor hydroquinone (100 and 200 mg/l) and intervals between collection of samples for analysis, i.e. cultivation time with precursor (24, 48, 168 hours). Culture transformed hydroquinone into arbutin regardless of the type and concentration of growth regulator, precursor concentration and the length of the experiment. The highest percentage of arbutin content in culture extract (8,11 %) was detected after 24 hour cultivation using hydroquinone in concentration of 200 mg/l and growth regulator IAA in concentration of 0,1 mg/l. The presence of arbutin was also detected in nutrient medium after 48 and 168 hours (0,68 %). In most cases, cultures using hydroquinone in concentration of 200 mg/l had higher production of..

    Additional file 12: Figure S9. of Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinoma

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    Functionally grouped networks based on analysis of differentially expressed genes between pRCC and mRCC cells. A A volcano plot of gene expression (log2 ratio of TPM + 1) contrasting pRCC cells (n = 46) versus mRCC cells (n = 36). The vertical dotted line indicates the cutoff of the false discovery rate (FDR <0.01), which was adjusted using the Benjamini–Hochberg correction for multiple-testing. The horizontal dotted lines indicate the cutoff for a significant fold change (≥twofold). Colors indicate significantly upregulated genes in pRCC cells (red) or in mRCC cells (blue). B Visualization of enriched biological networks with upregulated genes in pRCC cells (top) or in mRCC cells (bottom) by ClueGO analysis with annotation of Gene Ontology. Term enrichment significance is determined using two-sided hypergeometric test with the Benjamini–Hochberg correction, and represented by node size. Genes that are shared between two gene ontology terms generate link lines. The most prominent gene ontology term for each functional group is highlighted in a larger font size with the text color identical to the relevant group. (PDF 1.63 mb

    Additional file 16: Figure S12. of Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinoma

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    Prediction of drug sensitivity across single-cell populations. A Drug sensitivity was predicted by the ridge regression model using a training set of publicly available cancer cell line expression data with measured IC50 data for each drug. Estimated values were transformed to Z-scores across samples. Boxes show 25th to 75th percentile with 10th and 90th percentile whiskers. Differences between groups were determined by two-tailed Student’s t-test. *P <0.05, **P <0.01, ***P <0.001. B Correlation of drug sensitivity with the relevant signaling pathways to be targeted. Uniform axis ranges were applied to all plots: x-axis of GSVA scores, −0.5 to 0.5; y-axis of Z-scores, −3 to 2. Linear regression was applied to estimate Pearson’s correlation coefficient (r), with 95 % confidence as shown in thicker light gray curves. The statistical significance of the regression was determined by one-way ANOVA test. (PDF 1.33 mb

    Additional file 3: Table S1. of Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinoma

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    Somatic mutations identified in tumor samples from whole-exome sequencing. Single-nucleotide variants (SNVs) were annotated by implementing SnpEff. Whole-exome sequencing data of paired patient blood was used to identify somatic variants in parental tumors and matched xenografts of pRCCs and mRCCs, which are shown in separate sheets. (XLSX 218 kb
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