Ficus septica plant extracts for treating Dengue virus in vitro.
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ABSTRACT:
SUBMITTER: Huang NC
PROVIDER: S-EPMC5466810 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Publications
<i>Ficus septica</i> plant extracts for treating Dengue virus <i>in vitro</i>.
Huang Nan-Chieh NC Hung Wan-Ting WT Tsai Wei-Lun WL Lai Feng-Yi FY Lin You-Sheng YS Huang Mei-Shu MS Chen Jih-Jung JJ Lin Wei-Yu WY Weng Jing-Ru JR Chang Tsung-Hsien TH
PeerJ 20170608
Dengue virus types 1-4 (DENV-1-4) are positive-strand RNA viruses with an envelope that belongs to the <i>Flaviviridae</i>. DENV infection threatens human health worldwide. However, other than supportive treatments, no specific therapy is available for the infection. In order to discover novel medicine against DENV, we tested 59 crude extracts, without cytotoxicity, from 23 plants <i>in vitro</i>; immunofluorescence assay revealed that the methanol extracts of fruit, heartwood, leaves and stem f ...[more]
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Project description:Transcriptome profiling of activation of isoprene emission in a tropical tree, Ficus septica
| PRJDB1811 | ENA
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Project description:The most widely used isoprene emission algorithm, G93 formula, estimates instantaneous leaf-level isoprene emission using the basal emission factor and light and temperature dependency parameters. The G93 parameters have been suggested to show variation depending on past weather conditions, but no study has closely examined the relationship between past meteorological data and the algorithm parameters. Here, to examine the influence of the past weather on these parameters, we monitored weather conditions, G93 parameters, isoprene synthase transcripts and protein levels, and MEP pathway metabolites in the tropical tree Ficus septica for 12 days and analyzed their relationship with cumulative temperature and light intensity. Plants were illuminated with varying (ascending and descending) light regimes, and our previously developed Ping-Pong optimization method was used to parameterize G93. The cumulative temperature of the past 5 and 7 days positively correlated with CT2 and α, respectively, while the cumulative light intensity of the past 10 days showed the highest negative correlation with α. Concentrations of MEP pathway metabolites and IspS gene expression increased with increasing cumulative temperature. At best, the cumulative temperature of the past 2 days positively correlated with the MEP pathway metabolites and IspS gene expression, while these factors showed a biphasic positive and negative correlation with cumulative light intensity. Optimized G93 captured well the temperature and light dependency of isoprene emission at the beginning of the experiment; however, its performance significantly decreased for the latter stages of the experimental duration, especially for the descending phase. This was successfully improved through separate optimization of the ascending and descending phases, emphasizing the importance of the optimization of formula parameters and model improvement. These results have important implications for the improvement of isoprene emission algorithms, particularly under the predicted increase in future global temperatures.
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