ABSTRACT: Transcriptome profiling (RNA-Seq) to evaluate the connection the metabolic enzyme UGDH on gene expression. The RNA libraries were prepared and sequenced at University of Houston Seq-N-Edit Core per protocols. Total libraries were prepared with Ovation® Universal Plus mRNA-Seq (NuGen) using 200 ng input RNA. The size selection for libraries were performed using SPRIselect beads (Beckman Coulter) and purity of the libraries were analyzed using the High Sensitivity DNA chip on Bioanalyzer 2100 (Agilent). The prepared libraries pooled and sequenced using NextSeq 500 (Illumina), generating ~15 million 2×76 bp paired-end reads per samples. The RNA-seq raw fastq data were processed with RNA-Seq Express app within the Illumina BaseSpace app suite (www.basespace.illumina.com), which performed alignment with STAR aligner, assignment of aligned reads to genes, and differential gene expression with DESeq2 Analysis was performed comparing controls (shNT) against individual knockdowns (shU1 or shU2). Then, results from both analyses were compared for the intersection to identify commonly altered genes.
Project description:HPV positive head and neck cancer (HNC) are thought to have different etiology from HPV-unrelated HNC. There are indications that HPV positive HNC have better survival and that treatment options could be optimized in this set of tumours. In this study, we sought to evaluate miRNA profiles in the different groups of HNC based on cancer subsite (oral or oropharyngeal) and HPV presence (positive/negative; based on both viral DNA and RNA presence) all in comparison with normal tonsillar tissue from approximately aged subjects. From 61 enrolled patients, 22 were selected for NGS small RNA sequencing using Illumina small RNA library preparation kits and sequencing reagents on Nextseq 500 machine. Only samples with RIN >= 7 were included. manufacturers protocol was followed for library preparation. Indexing was done with indexes 1-22, and final libraries were normalizes to same amount after QBit measurement. Sequencing was done on Nextseq 500 machine and subsequent analyisis in Basespace (illumina). Raw fastq files were subsequently additionally trimmed of adapter sequences using FastQc Basespace app and differential expression evaluated with SmallRNA app. Customized plots were obtained after importing SmallRNA app calculated counts to DeSeq2 package in R and reanalysis therein.
Project description:The goal of RNA-seq is to identify the global transcriptional alteration by NOP16 overexpression or deletion in triple negative breast cancer cell line MDA-MB231 cells. Three (or Two) biological replicates were assigned for each group and in total 6 groups were prepared for these RNA seq libraries. We mapped about 20 million reads per sample to hg38 human reference genome, and counted and normalized each reads number and identified the differentially expressed genes.
Project description:Purpose: RNA-seq analysis to evaluate the impact of MED23 knockdown on the transcriptome of HUVEC cells.Methods: Total RNA was isolated with TRIzol from Med23 knockdown HUVECs (n = 3) or control cells (n = 3). cDNA sequencing libraries were prepared with an NEBNext® Ultra™ RNA Library Prep Kit for Illumina. The RNA-Seq FASTQ raw data were trimmed to remove low-quality reads and adapters using Trimmomatic. The trimmed reads were aligned to the mouse reference genome UCSC GRCh37/hg19 with HISAT2. Gene and transcript quantification was performed using Cutdiff. The results of the mapping of the RNA-seq reads, transcript assembly and abundance estimation were reported as fragments per kilobase of exon per million fragments mapped (FPKM).
Project description:A single-cell suspension was loaded into the Bio-Rad ddSEQ Single-Cell Isolator on which cells were isolated, lysed and barcoded in droplets. Droplets were then disrupted and cDNA was pooled for second strand synthesis. Libraries were generated with direct tagmentation followed by 3’ enrichment and sample indexing using Illumina Nextera library prep kit. Pooled libraries were sequenced on the Illumina NextSeq500 sequencer. Sequencing data were primarily analyzed using the SureCell RNA Single-Cell App in Illumina BaseSpace Sequence Hub.
Project description:Purpose: RNA-seq analysis to evaluate the impact of Msx1-overexpression on the transcriptome of C2C12 cells. Methods: Total RNA was isolated with TRIzol from Msx1-overexpressing C2C12 cells (n = 3) or control cells (n = 3). cDNA sequencing libraries were prepared with an NEBNext® Ultra™ RNA Library Prep Kit for Illumina. The RNA-Seq FASTQ raw data were trimmed to remove low-quality reads and adapters using Trimmomatic. The trimmed reads were aligned to the mouse reference genome UCSC GRCm38/mm10 with HISAT2. Gene and transcript quantification was performed using StringTie. The results of the mapping of the RNA-seq reads, transcript assembly and abundance estimation were reported as fragments per kilobase of exon per million fragments mapped (FPKM).
Project description:Purpose:To understand the change in cellular metabolism and function for the overxepression of SCL27A5 in hepatoma cells. Methods:Total RNAs of AdSLC27A5- or AdGFP-infected PLC/PRF/5 cells were extracted using TRIzol (Invitrogen), following the manufacturer’s instructions. RNA-seq and bioinformatic data analysis were performed by Shanghai Novel Bio Ltd. Briefly, strand-specific RNA-seq libraries were prepared using the Total RNA-seq (H/M/R) Library Prep Kit (Vazyme Biotech, Nanjing, China) and were sequenced on a HiSeq X Ten sequencing platform. Raw reads in FASTQ format were subjected to quality control using FastQC. RNA-seq reads were aligned to the reference genome using Bowtie. Uniquely mapped reads were used for further analysis. Gene expression levels are expressed as RPKM (reads per kilobase per million reads) and differences in gene expression were calculated with rSeq. Results:There were 17 genes differentially expressed in AdSLC27A5-infected PLC/PRF/5 cells compare to the GFP control group (fold change >1.5 or < 0.667; FDR < 0.05).
Project description:We report the use to RNA-sequencing to understand the role of postnatal Arx in the regulation of PV interneuron function. Total RNA extracted from control and Arx CKO male mice cells were submitted to the Next-Generation Sequencing Core of the University of Pennsylvania for cDNA amplification, library preparation, and sequencing using the Ovation RNA-seq v2 and Rapid DR Multiplexing kits (NuGEN). Whole mRNAseq libraries were prepared from 9 mice (5 control and 4 Arx CKO mice) using the SMARTer Ultra Low RNA Kit for Illumina Sequencing (Clontech, Cat#634936) according to manufacturer’s instructions. Standard methods to assess sample quality (Agilent Bioanalyzer, Kappa Biosystems Library Quantification kit, Qubit® Fluorometer) and measure cDNA concentration were used. A total of 1ng of amplified cDNA for each sample was used as input to build the sequencing libraries. Whole mRNAseq libraries from control and Arx CKO mice were quantified using Agilent Bioanalyzer DNA 7500 chips. Libraries were sequenced on the Illumina HiSeq 4000 2 × 100 (Illumina, San Diego, CA, USA) to generate 150bp paired end reads, yielding approximately 20-40 million reads per sample (~80 million reads per lane).
Project description:Purpose:To understand the change in cellular metabolism and function for the overxepression of GSTZ1 or PCK1 in hepatoma cells. Methods:Total RNAs of AdGFP- , AdGSTZ1-, or AdPCK1-infected Huh7 cells were extracted using TRIzol (Invitrogen), following the manufacturer’s instructions. RNA-seq and bioinformatic data analysis were performed by Shanghai Novel Bio Ltd. Briefly, strand-specific RNA-seq libraries were prepared using the Total RNA-seq (H/M/R) Library Prep Kit (Vazyme Biotech, Nanjing, China) and were sequenced on Ion Torrent Proton sequencing platform. Raw reads in FASTQ format were subjected to quality control using FastQC. RNA-seq reads were aligned to the reference genome using Bowtie. Uniquely mapped reads were used for further analysis. Gene expression levels are expressed as RPKM (reads per kilobase per million reads) and differences in gene expression were calculated with rSeq. Results:There were 498 genes differentially expressed in AdPCK1-infected Huh 7 cells, 513 genes differentially expressed in AdGSTZ1-infected Huh 7 cells compare to the GFP control group respectively (fold change >1.5 or < 0.667; FDR < 0.05).
Project description:The goal of CUT&RUN-seq is to identify the global alteration of H3K27me3 levels by NOP16 overexpression or deletion in triple negative breast cancer cell line MDA-MB231 cells. Three (or Two) biological replicates were assigned for each group and in total 6 groups were prepared for these CUT&RUN-seq libraries. We mapped about 20 million reads per sample to hg38 human reference genome, and counted and normalized each reads number and identified H3K27me3 distribution.
Project description:The goal of RNA-seq is to identify the differential expressed genes in the B16F10 and 4T1 cells after Decitabine treatment. Three biological replicates were assigned for each group and in total 12 groups were prepared for RNA-seq libraries with 300 ng mRNA as starting materials using NEXTflex Illumina qRNA-Seq Library Prep Kit (Bioo Scientific). We mapped over 60 million reads per sample to mouse genome (mm10) with RSEM workflow. P-values of differential expression were adjusted for multiple-hypothesis testing using False Discovery Rate (FDR) method.