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Truseq rapid pe cluster kit

Manufactured by Illumina
Sourced in United States

The TruSeq Rapid PE Cluster kit is a reagent kit used for the preparation of DNA libraries for sequencing on Illumina's sequencing platforms. The kit enables the generation of DNA clusters on the flow cell, which is a critical step in the sequencing process.

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46 protocols using truseq rapid pe cluster kit

1

Exome Sequencing of PBMCs

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The plasma and peripheral blood mononuclear cells (PBMCs) were separated via Ficoll Density gradient centrifugation (RT, 300 g, 10 min). The DNA and RNA of PBMCs were isolated and processed for WES and RNA-seq, respectively.
The SureSelect XT HS target enrichment workflow system was used to capture exonic fragments for Illumina Multiplexed Sequencing as described in the protocol provided by Agilent Technologies. For WES, 3 μg genomic DNA from each sample was sheared into fragments of 150–200 bp. Enriched exome libraries were multiplexed and sequenced on the HiSeq 2,500 platform (Illumina, United States). A paired-end DNA sequencing library was prepared via gDNA shearing, end-repair, A-tailing, paired-end adaptor ligation, and amplification. After hybridizing the library with bait sequences for 16 h, the captured library was purified and amplified with an indexing barcode tag, and library quality and quantity were assessed using a 2,200 TapeStation Instrument and Qubit 2.0 Fluorometer, respectively. The exome library was sequenced using the 10 bp paired-end mode of the TruSeq Rapid PE Cluster kit and the TruSeq Rapid SBS kit (Illumina).
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2

Whole Exome Sequencing of Bone Marrow and Blood

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Genomic DNA (1 μg) from the bone marrow and matching blood samples was sheared by Covaris S220 (Covaris, MA, USA) and used for library construction with SureSelect XT Human All Exon v5 and SureSelect XT reagent kit, HSQ (Agilent Technologies, Santa Clara, CA, USA) according to manufacturer's protocols. After multiplexing, the libraries were sequenced on the HiSeq 2500 sequencing platform (Illumina, USA), using the 100 bp paired-end mode of the TruSeq Rapid PE Cluster kit and TruSeq Rapid SBS kit (Illumina).
Sequencing reads were aligned to the UCSC hg19 reference genome (downloaded from http://genome.ucsc.edu) using Burrows-Wheeler Aligner (BWA) [30 (link)], version0.6.2 with default settings. PCR duplications are marked by Picard-tools-1.8 (http://picard.sourceforge.net/), data cleanup was followed by GATK, and variants were identified with GATK-2.2.9 (https://www.broadinstitute.org/gatk/). Then, point mutations were identified by MuTect (https://github.com/broadinstitute/mutect) and VarScan 2 (http://varscan.sourceforge.net) with paired samples. Perl script and ANNOVAR [31 (link)] were used to annotate variants.
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3

Transcriptome Analysis Pipeline for Differential Gene Expression

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The library construction for whole transcriptome sequencing was performed using the TruSeq RNA sample preparation v2 kit (Illumina). Sequencing of the transcriptome library was carried out using the 100 bp paired-end mode of the TruSeq Rapid PE Cluster kit and TruSeq Rapid SBS kit (Illumina).
The reads from the FASTQ files were mapped against the GRCh37.75 human reference genome by using STAR (https://github.com/alexdobin/STAR/releases) version 2.4.0. The output files in BAM format were analyzed by RSEM (http://deweylab.biostat.wisc.edu/rsem/) version 1.2.18 to quantify the transcript abundance in transcripts per million (TPM). Coding genes were selected (20,652) and low-expression genes were filtered out by applying the criteria that the total TPM should be > 20.42 (mean TPM value) across all samples. Clustering was performed by Principal Component Analysis (PCA). We identified differentially expressed genes (DEGs) and performed gene ontology (GO) analysis using the ‘DESeq’ [32 (link)] which is Bioconductor package (http://bioconductor.org) in R and ‘DAVID’ [33 (link)]. We used two GEO datasets to evaluate the prognostic significance of IRF4 expression (GSE9782 [34 (link)], GSE24080 [35 ]).
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4

Whole Genome Bisulfite Sequencing Protocol

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WGBS libraries were prepared using the EpiGnome Methyl‐Seq Kit (Epicentre, EGMK81312), according to the manufacturer's protocol. Library quality was assessed with the Agilent 2100 Bioanalyzer using the High‐Sensitivity DNA Kit (Agilent, CA, USA). DNA was quantified using the KAPA Library Quantification Kit by quantitative PCR (KAPA 6 Biosystems). Libraries from patient specimens were analysed with 70 bp paired‐end sequencing on the Illumina HiSeq 2500 platform using TruSeq Rapid SBS Kit ‐ HS (50 cycle) and TruSeq Rapid PE Cluster Kit ‐ HS. Six samples were multiplexed across two lanes. Sequencing was performed multiple times to gain sufficient coverage.
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5

Targeted Exome Sequencing of Cancer Genes

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Genomics DNA (250 ng) from each tissue was sheared in a Covaris S220 ultrasonicator (Covaris, Woburn MA, USA) and used for the construction of a library with CancerSCAN™ probes and a SureSelect XT reagent kit, HSQ (Agilent Technologies) according to the manufacturer's protocol. This panel was designed to enrich exons of 83 genes [34 (link)] covering 366.2 kb of the human genome. After enriched exome libraries were multiplexed, the libraries were sequenced using the 100-bp paired-end mode of the TruSeq Rapid PE Cluster Kit and TruSeq Rapid SBS kit on the Illumina HiSeq 2500 sequencing platform (Illumina Inc., San Diego, CA, USA). The DNA sequence data were aligned to the human genome reference (hg19) using the MEM algorithm in BWA 0.7.5 [35 (link)]. Duplicate read removal was performed using Picard v.193 and SAMTOOLS v0.1.18 [36 (link)]. Local alignment was optimized using the Genome Analysis Toolkit (GATK) v3.1-1 [37 (link)]. We also used BaseRecalibrator from GATK for base recalibration based on known single nucleotide polymorphisms (SNPs) and indels from Mills, dbSNP138, and 1000G gold standard, 1000G phase1 and Omni 2.5. Sequencing coverage is shown in Supplementary Table 5.
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6

Targeted Cancer Exome Sequencing

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Genomic DNA from each sample was sheared by the Covaris S220 (Covaris, MA, USA) and used for the construction of a library using CancerSCAN probes and the SureSelectXT reagent kit (HSQ; Agilent Technologies, Santa Clara, CA, USA) according to the manufacturer’s protocol. CancerSCAN was designed to enrich the exons of 83 genes, covering 366.2 kb of the human genome (Supplementary Table S1)41 (link). After enriched exon libraries were multiplexed, the libraries were sequenced on a HiSeq. 2500 sequencing platform (Illumina, San Diego, CA, USA). Briefly, a paired-end DNA sequencing library was prepared through gDNA shearing, end-repair, A-tailing, paired-end adaptor ligation, and amplification. After hybridization of the library with bait sequences for 27 h, the captured library was purified and amplified with an index barcode tag, and the library quality and quantity were measured. Sequencing of the exome library was performed using the 100 bp paired-end mode of the TruSeq Rapid PE Cluster kit and TruSeq Rapid SBS kit (Illumina).
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7

Targeted Cancer Gene Sequencing Panel

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A targeted sequencing panel (CancerSCAN) to cover the exonic DNA sequences of 381 cancer genes and introns across 22 genes for rearrangement detection was used (S1 Table). This panel originally designed by the Samsung Genome Institute is available through company GENINUS. Tumor DNA (200 ng for FF or 300 ng for FFPE) was sheared in a Covaris S220 ultrasonicator (Covaris Inc., Woburn, MA, USA) and used for the construction of a library using CancerSCAN probes and an HSQ SureSelectXT reagent kit (Agilent Technologies Inc., Santa Clara, CA, USA) according to the manufacturers’ instructions. After the enriched exome libraries were multiplexed, the libraries were sequenced using the 100-bp paired-end mode of the TruSeq Rapid PE Cluster Kit and TruSeq Rapid SBS kit on the Illumina HiSeq 2500 sequencing platform (Illumina Inc., San Diego, CA, USA).
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8

RNA-Seq Library Preparation and Analysis

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For RNA-Seq, sequencing libraries were prepared using TruSeq RNA Sample Preparation kit v2 (RS-122-2001 and RS-122-2002, Illumina). Sequencing of the RNA libraries was performed on an Illumina HiSeq2500 in 100-bp paired-end mode of the TruSeq Rapid PE Cluster kit and the TruSeq Rapid SBS kit. RNA-Seq was analyzed using the RSEM45 (link) pipeline with hg19 as the genome reference.
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9

Targeted Cancer Sequencing Using CancerSCAN™

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Next-generation sequencing (NGS) analysis was performed on a targeted sequencing platform (CancerSCAN™) designed at Samsung Medical Center [16 (link)]. The CancerSCAN™ panel is designed to target 375 cancer-related genes. Genomic DNA (250 ng) was sheared in a Covaris S220 ultrasonicator (Covaris, Woburn, MA, USA), and target-capture was performed with the SureSelect XT reagent kit, HSQ (Agilent Technologies) according to the manufacturer’s protocol.
After enriched exome libraries were multiplexed, the libraries were sequenced on a HiSeq 2500 sequencing platform (Illumina). Briefly, a paired-end DNA sequencing library was prepared through gDNA shearing, end-repair, A-tailing, paired-end adaptor ligation and amplification. After hybridization of the library with bait sequences for 27 h, the captured library was purified and amplified with an index barcode tag, and the library quality and quantity were assessed. The exome library was sequenced via the 100-bp paired-end mode of the TruSeq Rapid PE Cluster Kit and the TruSeq Rapid SBS Kit (Illumina).
Sequence reads were mapped to the human genome (hg19) by means of Burrows-Wheeler Aligner (BWA). Duplicate read removal was performed with Picard and SAMtools. Local alignment was optimized with the Genome Analysis Toolkit (GATK). Variant calling (SNVs, small indels, CNVs and gene fusion) was done only in regions targeted in CancerSCAN.
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10

Whole Transcriptome Sequencing and Differential Gene Expression Analysis

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Whole transcriptome sequencing libraries were constructed using a TruSeq RNA sample preparation v2 kit (Illumina). Sequencing was performed using the 100-bp paired-end mode of the TruSeq Rapid PE Cluster kit and TruSeq Rapid SBS kit (Illumina). The sequencing reads were mapped to the GRCh37.75 human reference genome by using STAR version 2.4.0 26 (link). To quantify gene expression, mapped reads were processed by RSEM version 1.2.18 29 (link). The 'edgeR' method was used to identify differentially expressed genes (DEGs) and the results were filtered on the absolute value of the log 2 (fold change) to more than two 30 (link). We performed gene ontology (GO) analysis using DAVID 31 (link).
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