Truseq stranded rna lt guide
The TruSeq Stranded RNA LT Guide is a library preparation kit designed for RNA sequencing. It is used to convert RNA into a library of cDNA fragments with adapter sequences attached to one or both ends. The core function of this product is to enable high-quality, strand-specific RNA sequencing.
Lab products found in correlation
6 protocols using truseq stranded rna lt guide
Comprehensive Maize Transcriptome Profiling
Transcriptomic Analysis of M. marinum WT and ΔwhiB4
M. marinum WT and ΔwhiB4 each were grown in 5 duplicate cultures, each containing 5 ml 7H9 media to OD600 ~1.5. 1-ml cells from 5 duplicate cultures were collected and mixed together. The bacterial cultures were pelleted and washed twice with PBS. Total RNA (1–3 µg) was isolated using the RNeasy Mini Kit (Qiagen) and purified using the RNAClean XP Kit (Beckman Coulter) and RNase-Free DNase Set (Qiagen) according to the manufacturer’s instructions. Purified RNA was used to construct cDNA library according to the TruSeq Stranded RNA LT Guide from Illumina. The concentration and size distribution of cDNA library was analyzed by Agilent 2100 Bioanalyzer and the average library size was approximately 350 bp. High-throughput sequencing was carried out on an Illumina HiSeq 2500 system according to the manufacturer’s instructions (Illumina HiSeq 2500 User Guide) and 150-bp paired-end reads were obtained. The raw reads were filtered by Seqtk and then mapped to the M. marinum M strain reference sequence (GenBank GCA_000018345.1) using Bowtie2 (version: 2–2.0.5)60 (link). Counting of reads per gene was performed using HTSeq followed by TMM (trimmed mean of M-values) normalization61 (link), 62 (link). Differentially expressed genes were defined as those with a false discovery rate <0.05 and fold-change >2 using the edgeR software63 (link). Two independent experiments were performed.
RNA-seq analysis of Mycobacterium tuberculosis
Transcriptomic Analysis of M. smegmatis sRNA
RNA-Seq Library Preparation and Analysis
The raw data were filtered by FASTX (ver. 0.0.13) before mapping to the genome using TopHat (ver. 2.0.9). Gene fragments were counted using HTSeq followed by trimmed mean of M values (TMM) normalization. Significantly differentially expressed genes (DEGs) were identified using Cufflinks (ver. 2.2.1) [12 (link)]. DEGs were then submitted to Visualisation and Integrated Discovery analysis (DAVID; ver. 6.8) [13 (link)] for gene ontology (GO) term enrichment and clustering and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway mapping using default parameters, except for an EASE score setting of 0.05.
Pear Transcriptome Profiling Protocol
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!