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: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.
