Kapa rna hyperprep kit with riboerase hmr
The KAPA RNA HyperPrep Kit with RiboErase (HMR) is a laboratory tool designed for the preparation of RNA samples for high-throughput sequencing. It provides a streamlined workflow for the depletion of ribosomal RNA, allowing for the enrichment of other RNA species of interest.
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26 protocols using kapa rna hyperprep kit with riboerase hmr
RNA Sequencing of CD11b+ Cells
Strand-specific RNA-seq Library Preparation
Gene Expression Analysis of Tumour and Mouse Samples
RNA-Seq Analysis of Tumor Microenvironment
For mouse sequencing studies, RNA expression libraries were generated with TruSeq Stranded mRNA kits per the manufacturer’s instructions and sequencing was performed on a NextSeq 500 or NovaSeq platform (Illumina). RNA reads were aligned with GRCm38 and gene counts generated with STAR (V.2.6.0a or V2.7.3a). Differentially expressed protein-coding genes (DEGs) between treated and control groups were identified with DESeq2 (V.1.30.0). Mouse MCP counter analysis was performed as previously described.18 (link) Using all significant DEGs (p<0.05), gene set over representation analysis of Gene Ontology (GO) terms was performed with ClusterProfiler (V.3.18.0). Hallmark Mus musculus gene sets were obtained from msigdbr V.7.4.1. for gene set enrichment analysis with ClusterProfiler (V.3.18.0).19
RNA Sequencing of CD11b+ Cells
Mucosal Cell Transcriptome Profiling
RNA-seq Library Preparation and Sequencing
RNA-seq Library Preparation and Sequencing
Libraries were prepared using KAPA RNA HyperPrep Kit with RiboErase (HMR), (Roche, Basilea, CH) using the manufacturers protocol with an input of 50–100 ng RNA. All libraries were quality assessed for fragment size (Bioanalyser) and quantified using the NEBNext Library Quant kit (New England Biosciences, Herts, United Kingdom). Normalized libraries were loaded onto a NovaSeq SP flow cell (Illumina, SanDiego, US) and sequenced to a total read length of 2 × 76 bp. The quality of the sequencing was confirmed for number of clusters passing filter, Q30 scores, error rate, cluster density and read distribution. Raw sequence data in FASTQ format were input to QC assessment steps hosted on the DNAnexus cloud platform. Basic sequencing metrics such as GC content were calculated from unaligned reads using FastQC (Leggett et al., 2013 (link)). Read alignment to the human reference genome GRCh38 was then performed using StarAlign (Dobin et al., 2013 (link)), with outputs used to calculate post-alignment QC metrics such as duplication rate [calculated using Picard MarkDuplicates (
RNA-seq of Cryopreserved PBMC from B-ALL
Strand-specific RNA-seq library prep
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