Project description:RNA was isolated from HLEC, HAEC, HMVEC and HUVEC cells. Sequencing was performed on the NextSeq500 instrument (Illumina). Processing of raw reads was performed as previously described (Zhang T et al., 2015)
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 project, in vitro selection was carried out to generate DNAzymes for Eosinophil peroxidase using a synthetic DNA library. Total 15 rounds of selections were carried out. The DNA molecules obtain in round 15, was applied in Illumina MiSeq deep sequencing which provided fastq files. Sequencing samples were prepared from each parallel SELEX experiment by PCR tagging with Illumina sequencing primers. Samples were size purified by agarose gel electrophoresis prior to being quantified by measuring absorbance at 260 nm. Tagged samples were pooled and paired-end sequenced on an Illumina MiSeq high-throughput DNA sequencer. Sequence data processing was performed on a Windows 10 computer running Ubuntu 20.04 under WSL2. Raw paired-end reads were trimmed of sequencing and library primers using cutadapt 3.4. Trimmed paired-end reads were then: 1) merged into a consensus sense read; 2) dereplicated; and, 3) clustered at 90% identity using USEARCH v11.0.667_i86linux32. Sequence frequencies and ranking lists were generated using custom Python scripts. Multiple sequence alignments were performed using MUSCLE v3.8.1551 and converted to sequence logos using WebLogo 3.7.8. Processed sequencing data and cluster linkage data were stored on a MySQL 8.0.22 database. Analysis of sequence copy number, frequency, cluster linkage and data plots were performed using the database and Microsoft Excel Top 20 sequences were tested for cleavage performance. The most active DNAzyme was characterized and optimized. At the end, fluorescence and lateral flow assays were developed and evaluated in real patients' sputums.
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.
