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7 protocols using truseq v2 library preparation kit

1

RNA Extraction and Quantification for Bone Tissues and Cell Cultures

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Total RNA from flushed and minced femoral bones or cell cultures was isolated using the Direct-Zol RNA Mini Prep Kit (Zymo Research) following the supplier’s instructions. For quantitative real-time polymerase chain reaction (rt-qPCR), cDNA was synthesized from ∼0.5 μg RNA using the SuperScript III first strand synthesis system (Invitrogen) as described by the supplier and subjected to rt-qPCR amplification using the QuantiTect SYBR-Green PCR Kit (Qiagen) and a CFX384 real time system machine (Bio-Rad) using the following conditions: 10 min 95 °C followed by 45 cycles of 30 sec at 95 °C, 30 sec at 60 °C and 30 s at 72 °C. Primers for the analyzed genes are listed in Table S1. All rt-qPCR assays were performed in triplicate and expression was evaluated using the Biorad CFX Manager 3.0 software applying the comparative quantification method75 (link). For high through output next generation RNA sequencing (RNA-seq) RNA integrity was analyzed with a 2100 Bioanalyzer with an RNA 6000 kit (Agilent Technologies). RNA-Seq libraries were prepared using the Illumina TruSeq v2 library preparation kit and sequenced with paired-end 50 bp reads on an Illumina HiSeq 4000 in biological triplicates for bone tissues (femurs) and duplicates for cell-lines.
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2

Transcriptomic Analysis with RNA-Seq

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RNA-sequencing libraries were prepared with TruSeqv2 library preparation kit (Illumina) and sequenced with the Illumina HiSeq platform using 101 bp paired-end sequencing. Alignment was performed with TopHat2 and Cuffdiff2 was used to call differential gene expression.
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3

Transcriptome Profiling of Whole Blood

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Total RNA was derived from the whole blood, depleted of globin transcripts using Ambion GLOBINclear, and subsequently processed using the Illumina TruSeq v2 library preparation kit. On average, 40 million paired-end reads of 50 bp were generated per participant using illumina’s Hiseq 2000. Samples were demultiplexed using CASAVA and aligned to the hg19 reference genome using STAR [43 (link)]. Alignments were sorted, read groups were added using picard [44 ], and gene expression was quantified using featureCounts [45 (link)]. We selected participants for which all covariates were available (sex, age, BMI, smoking status, and measured cell counts). Raw count matrices per cohort were used for analysis.
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4

RNA-sequencing of LCL and B cells

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Global gene expression profiling using RNAseq was carried out for n = 5 LCL and CD19+ B cells (matching donors). Total RNA was first isolated using the RNeasy Mini Kit (Qiagen) before RNAseq library preparation using the TruSeqV2 Library Preparation kit (Illumina). The indexed libraries were pooled 10 plex, and 50 bp single-end reads were sequenced on the HiSeq 2500 (Illumina). Reads were assessed for quality using FastQC, aligned to hg19 using TopHat2 [22 (link)], and summarised to RPKM gene level expression using SAMmate [23 (link)]. An average of 18 million mapped reads was obtained for each sample at an overall alignment rate of 80.5%. Differentially expressed genes were calculated using EdgeR [24 (link)]. A cut-off of 1% false discovery rate was selected to select differentially expressed genes, see Additional file 1: Table S1. The raw and processed sequencing data generated have been submitted to the NCBI Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo/) under accession number GSE126379 [25 ].
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5

RNA-Seq Workflow for Whole Blood Transcriptome Analysis

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RNA was isolated from whole blood and globin transcripts were subsequently filtered by applying the Ambion GLOBINclear kit. Library preparation was performed using the Illumina TruSeq v2 library preparation kit. Next, Illumina HiSeq 2000 was used for paired-end sequencing of 2 × 50 bp reads while pooling 10 samples per lane and expecting > 15 million read pairs per sample. Read sets were generated using CASAVA, retaining only those reads that passed Illumina Chastity Filter.
Quality control of the reads was evaluated using FastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Adaptor sequences were trimmed out using cutadapt (v1.1) with default settings. Low quality ends of reads were removed using Sickle (v1.200) (https://github.com/najoshi/sickle).
Reads were then aligned using STAR 2.3.0e [33 (link)]. All SNPs present in the Genome of the Netherlands (GoNL) with MAF ≥ 0.01 were masked from the reads to avoid reference mapping bias. Read pairs with at most eight mismatches and mapping to at most five positions were used. Quantification of counts per genes was done using Ensembl v.71 annotation (which corresponds to GENCODE v.16).
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6

Whole Blood RNA Sequencing Protocol

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Details of the RNA isolation procedure and RNA sequencing have been described elsewhere [10 (link)]. In short, RNA was isolated from whole blood using the Direct-zol RNA MiniPrep (Zymo Research, Irvine, CA, USA). RNA sequencing libraries were generated using the Illumina Truseq v2 library preparation kit (Illumina, San Diego, CA, USA). Libraries were paired-end sequenced using the Illumina Hiseq2000. Reads were aligned to the genome using STAR (v2.3.0) [11 (link)]. Expression, as read count per RNA, was calculated using HTSeq (v0.6.1p1) with default settings based on the Ensembl v71 annotation (corresponding to GENCODE v16) [12 , 13 ]. Counts were normalised using trimmed mean of M-values (TMM). Sex was confirmed using expression of XIST (chromosome X) and UTY (chromosome Y). The final dataset comprised expression levels of 391 individuals. RNAs with very low counts across all samples were filtered out.
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7

RNA Sequencing for Differential Expression

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For RNA sequencing, cells were selected for 72 hours with 1μg/mL puromycin and harvested approximately 108 hours after infection with shRNA hairpin or exogenous expression construct. RNA was isolated using the RNeasy Plus Kit (QIAGEN). RNA sequencing libraries were prepared with TruSeqv2 library preparation kit (Illumina) and sequenced with the Illumina HiSeq4000 platform using 150-bp paired-end sequencing. Alignment was performed with TopHat2 (Kim et al., 2013 (link)), and Cuffdiff2 (Trapnell et al., 2013 (link)) was used to call differential gene expression. All genes included in heatmaps and signatures changed by at least 2 fold in one sample with the other matched replicate sample changing concordantly.
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