Project description:RNA-Seq data from the resurrection plant Xerophyta schlechteri during desiccation in three tissues: non-senescent, senescent and pre-senescent during dehydration and rehydration.
Project description:Purpose: The goal of this study is to compare endothelial small RNA transcriptome to identify the target of OASL under basal or stimulated conditions by utilizing miRNA-seq. Methods: Endothelial miRNA profilies of siCTL or siOASL transfected HUVECs were generated by illumina sequencing method, in duplicate. After sequencing, the raw sequence reads are filtered based on quality. The adapter sequences are also trimmed off the raw sequence reads. rRNA removed reads are sequentially aligned to reference genome (GRCh38) and miRNA prediction is performed by miRDeep2. Results: We identified known miRNA in species (miRDeep2) in the HUVECs transfected with siCTL or siOASL. The expression profile of mature miRNA is used to analyze differentially expressed miRNA(DE miRNA). Conclusions: Our study represents the first analysis of endothelial miRNA profiles affected by OASL knockdown with biologic replicates.
Project description:A cDNA library was constructed by Novogene (CA, USA) using a Small RNA Sample Pre Kit, and Illumina sequencing was conducted according to company workflow, using 20 million reads. Raw data were filtered for quality as determined by reads with a quality score > 5, reads containing N < 10%, no 5' primer contaminants, and reads with a 3' primer and insert tag. The 3' primer sequence was trimmed and reads with a poly A/T/G/C were removed
Project description:In this study, we performed deep sequencing and bioinformatics analyses of tea plant leaves to identify and characterize known and novel miRNAs. A total of 26,876,261 raw reads were produced from 2 libraries. We detected 422 known miRNAs belonging to 125 families, and 68 putative novel miRNAs.
Project description:Purpose: Next-generation sequencing (NGS) has been utilized for systems-based analysis of rice plants. The goals of this study were to compare the transcriptome between non-transgenic (NT) control and OsTZF8 overexpressing transgenic plants. Methods: Total RNAs were extracted from the whole plants of OsTZF8 overexpressing plants (T4 generation, line number #20) and non-transgenic (NT) plant using RNeasy plant mini kit (Qiagen, Germany) according to the manufacturer’s instruction. cDNA libraries were prepared from total RNAs using TruSeq RNA sample Prep kit (v2) (Macrogen, Korea). Two biological replicates were analyzed by RNA-sequencing analysis. Single-end sequences were obtained using IRGSP (v 1.0) and raw sequence reads were trimmed to remove adaptor sequence, and those with a quality lower than Q20 were removed using the Trimmomatic 0.32 software (Bolger et al., 2014). To map the reads to reference genome, all reads were assembled with annotated genes from the Rap-DB database [http://rapdb.dna.affrc.go.jp; IRGSP (v 1.0)] using TopHat software (https://ccb.jhu.edu/software/tophat/index.shtml). Conclusions: Our study has identified downstream candidate genes regulated by overexpression of OsTZF8.
Project description:Transcriptional profiling of resurrection plant Boea hygrometrica comparing control untreated plants with plants treated with dehydration. Goal was to determine the different effects of desiccation with different rates, and drought acclimation on global gene expression in Boea hygrometrica .
Project description:The aim of this study is to investigate the effects of dietary plant and animal proteins on gut metabolism and markers for colorectal cancer as well as blood protein metabolites and markers for type 2 diabetes in healthy adults. The study participants will be stratified into three groups with different protein composition in diets: 1) animal 70%/plant 30%; 2) animal 50%/plant 50% and 3) animal 30%/plant 70%. The participants will get part of their diet as ready foods or raw material to promote their compliance. The participants will also get personal advice for their diets. Blood, stool and urine samples will be collected in the beginning and in the end of the 12 week intervention, as well as phenotype measures like BMI, blood pressure and body composition. The participants will also fill food diary before and in the end of the intervention.
Project description:Water shortage is a major factor that harms agriculture and ecosystems worldwide. Plants display various levels of tolerance to water deficit, but only resurrection plants can survive full desiccation of their vegetative tissues. Haberlea rhodopensis, an endemic plant of the Balkans, is one of the few resurrection plants found in Europe. We performed transcriptomic analyses of this species under slight, severe and full dehydration and recovery to investigate the dynamics of gene expression and associate them with existing physiological and metabolomics data. De novo assembly yielded a total of 142,479 unigenes with an average sequence length of 1,034 nt. Among them, 18,110 unigenes were differentially expressed. Hierarchical clustering of all differentially expressed genes resulted in seven clusters of dynamic expression patterns. The most significant expression changes, involving more than 15,000 genes, started at severe dehydration (~20% relative water content) and were partially maintained at full desiccation (<10% relative water content). More than a hundred pathways were enriched and functionally organized in a GO/pathway network at the severe dehydration stage. Transcriptomic changes in key pathways were analyzed and discussed in relation to metabolic processes, signal transduction, quality control of protein and DNA repair in this plant during dehydration and rehydration. Reprograming of the transcriptome occurs during severe dehydration, resulting in a profound alteration of metabolism toward alternative energy supply, hormone signal transduction, and prevention of DNA/protein damage under very low cellular water content, underlying the observed physiological and metabolic responses and the resurrection behavior of H. rhodopensis.
