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: 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:Pu-erh tea has attracted increasing attention worldwide because of its special flavor and health effects, but its impact on composition and function of the gut microbiota remains unclear. The aim of this study was to investigate effects of aqueous extracts of fermented (ripe) and non-fermented (raw) Pu-erh teas on the composition and function of intestinal microbiota of rats with diet-induced obesity. We conducted a comparative metagenomic and metaproteomic investigation of the microbial communities in cecal samples taken from obese rats administrated with or without extracts of raw and ripe Pu-erh tea. By analyzing the composition and diversity of 16S rRNA amplicons and expression profiles of 814 distinct proteins, we found that, despite differences in the chemical compositions of the raw and ripe Pu-erh tea, administration of either at two different doses (0.15 and 0.40 g/Kg body weight), significantly (P<0.05) increased community diversity, and changed the composition of the cecal microbiota by increasing the relative abundances of Firmicutes and decreasing those of Bacteroidetes. Community metabolic processes including sucrose metabolism, glycolysis, syntheses of proteins, rRNA and antibiotics were significantly (P<0.05), or had a tendency (0.10<P<0.05) to be, promoted by enriching relevant enzymes. Furthermore, evidences from population, molecular and metabolic levels have shown that polyphenols of raw Pu-erh tea and their metabolites can promote potentially the growth of Akkermansia municiphila by stimulating the type II and III secretion system protein, elongation factor Tu, and glyceraldehyde-3-phosphate dehydrogenase. This study has provided new evidences for the prebiotic effects of Pu-erh tea.
Project description:Whole exome sequencing of 5 HCLc tumor-germline pairs. Genomic DNA from HCLc tumor cells and T-cells for germline was used. Whole exome enrichment was performed with either Agilent SureSelect (50Mb, samples S3G/T, S5G/T, S9G/T) or Roche Nimblegen (44.1Mb, samples S4G/T and S6G/T). The resulting exome libraries were sequenced on the Illumina HiSeq platform with paired-end 100bp reads to an average depth of 120-134x. Bam files were generated using NovoalignMPI (v3.0) to align the raw fastq files to the reference genome sequence (hg19) and picard tools (v1.34) to flag duplicate reads (optical or pcr), unmapped reads, reads mapping to more than one location, and reads failing vendor QC.
Project description:To investigate the large-scale gene expression in different tea clones, a custom oligo microarray was developed using sequences from RNA-seq for probe designing. We succeeded in developing a tea oligo microarray resource which can be successfully used to analyze gene expression in any tea clones without the need for prior sequence knowlege.