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11 protocols using tapestation 4200

1

Murine and Human Organoid RNA-seq Analysis

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RNA sequencing analysis of murine organoids was performed by Active Motif. The total RNA was isolated from the cells using the Qiagen RNeasy Mini Kit (Qiagen). For each sample, 2μg of the total RNA was used in Illumina’s TruSeq Stranded mRNA Library kit. Libraries were sequenced on Illumina NextSeq 500 as paired-end 42-nt reads. Sequence reads were estimated as FPKM (fragments per kilobase of transcript per million mapped reads). A differentially expressed genes (DEGs) analysis was performed using the STAR alignment-DESeq2 software pipeline following.
RNA sequencing analysis of human organoids was performed by TaKaRa Bio, Inc. (Kusatsu, Japan). The total RNA was reversed transcribed into cDNA with a Clontech SMART-Seq v4 Low Input RNA Kit according to the manufacturer’s instructions. RNA sequencing libraries were constructed from the amplified cDNA using Illumina Nextera XT DNA Library Prep Kits, validated using an Agilent 4200 TapeStation, and sequenced on the Illumina NovaSeq 6000 platform. Gene expression level was estimated as TPM (transcripts per million) for principal component analysis (PCA). Subsequently, the raw read counts were normalized by relative log normalization (RLE) and differentially expressed analysis was conducted with DESeq2 (Version 1.24.0).
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2

RNA-seq Protocol for Rhesus Macaque Transcriptome

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Five (5) nanograms of total RNA was used as input for cDNA synthesis using the Clontech SMART-Seq v4 Ultra Low Input RNA kit (Takara Bio) according to the manufacturer's instructions. Amplified cDNA was fragmented and appended with dual-indexed bar codes using the NexteraXT DNA Library Preparation kit (Illumina). Libraries were validated by capillary electrophoresis on an Agilent 4200 TapeStation, pooled at equimolar concentrations, and sequenced on an Illumina HiSeq3000 at 100SR, yielding 20–25 million reads per sample. Alignment was performed using STAR algorithm version 2.5.2b (Dobin et al., 2013 (link)). Transcripts were annotated using MacaM assembly and annotation of the Indian rhesus macaque genome (Zimin et al., 2014 (link)) (http://www.unmc.edu/rhesusgenechip/index.htm#NewRhesusGenome). Transcript abundance estimates were calculated internal to the STAR aligner using the algorithm of htseq-count generating the raw read count table (Anders et al., 2015 (link)).
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3

RNA Sequencing of Bone Marrow Mononuclear Cells

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RNA was extracted from mononuclear cell suspensions from diagnostic BM aspirates using the direct-zol RNA, and on-column DNase digestion was performed to remove DNA (Zymo Research, Irvine, CA, USA); the RNA integrity was assessed by using the 4200 TapeStation (Agilent Technologies, Santa Clara, CA, USA). The libraries were constructed using TruSeq Stranded Total RNA with Ribo-Zero Gold (Illumina, San Diego, CA, USA) according to the manufacturer’s instructions. Briefly, rRNA was removed from RNA samples and fragmented, and reverse transcriptase was used to synthesize cDNA and sequencing adapters were ligated. Libraries were evaluated using the 4200 TapeStation and sequenced for 2 × 75 cycles (paired-end sequencing) on the Illumina sequencing platform (NextSeq500, Illumina, San Diego, CA, USA). Raw reads were preprocessed using the standard Illumina pipeline which consists of dataset quality control using FastQC v0.11.5 (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/; accessed on January 2018) for trimming and adapter removal Trimmomatic-0.36 (ww.usadellab.org/cms/index.php?page=trimmomatic; accessed on January 2018). TopHat (https://ccb.jhu.edu/software/tophat/index.shtml; accessed on January 2018) was used to align reads to an hg19 human genome reference and TopHat-fusion for gene fusion analysis.
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4

CD14+ Monocyte Bulk RNA-seq Protocol

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Bulk RNA-seq was performed on purified CD14+ monocytes after sorting. In brief, after sorting, 5,500 cells were washed, resuspended in 350 μL chilled Buffer RLT (Qiagen, 79216) supplemented with 1% beta-Mercaptoethanol (Sigma, M3148–25ML), vortexed for 1 minute, and immediately frozen at −80C. RNA was isolated using the RNeasy Micro kit (Qiagen, 74004) with on-column DNase digestion. RNA quality was assessed using an Agilent Bioanalyzer and total RNA was used as input for cDNA synthesis using the Clontech SMART-Seq v4 Ultra Low Input RNA kit (Takara Bio, 634894) according to the manufacturer’s instructions. Amplified cDNA was fragmented and appended with dual-indexed bar codes using the NexteraXT DNA Library Preparation kit (Illumina, FC-131–1096). Libraries were validated by capillary electrophoresis on an Agilent 4200 TapeStation, pooled at equimolar concentrations, and sequenced on an Illumina NovaSeq6000 at 100SR, yielding 20–25 million reads per sample.
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5

Chromatin Immunoprecipitation Sequencing Protocol

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Libraries from 5–10 ng ChIP DNA were prepared using KAPA Hyper Library Preparation Kit (KAPABIOSYSTEMS, #KK8504). Precipitated DNA was quantitated on the Qubit® 4 Fluorometer (Invitrogen). Samples were end-repaired, 3’ ends-adenylated and barcoded with multiplex adapters, followed by size selection with Ampure XP beads (BECKMAN COULTER, #A63881) and PCR amplification. Samples were validated on the Agilent Tapestation 4200, normalized, pooled, and run on the Illumina NextSeq 500 using 75 cycle SBS v2.5 reagents. Analysis for ChIP-sequencing was conducted using the UTSW BICF ChIP-seq Analysis workflow (31 (link)). Briefly, raw fastq files were trimmed by TrimGalore and then aligned to human reference genome (hg38) using BWA (32 (link)). Low-quality reads and duplicate reads were removed from aligned files using Sambamba (33 (link)) and Samtools (34 (link)). Model-based Analysis of ChIPSeq (MACS) (35 (link)) software tool (v.2.1.2) was used to call peaks from the ChIP-sequencing data. All peaks were annotated using ChipSeeker (36 (link)) and differential binding activity was calculated using DiffBind (37 (link)). ChIP peaks were visualized using IGV (https://igv.org/).
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6

RNA-seq Library Preparation Protocol

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50–100 ng/sample RNA from each animal was used as input for cDNA synthesis and amplification with the SMARTer Ultra Low Input RNA kit (Clontech, CA) following manufacturer recommendations with 13 cycles of PCR amplification. cDNA quantity and quality were evaluated with a Qubit fluorometer and TapeStation 4200, respectively.
100pg of amplified cDNA was used to generate DNA libraries using Illumina Nextera XT DNA Library Kit (Illumina, CA). Twelve library amplification cycles were applied per manufacturer’s recommendation. Library quantity and quality were evaluated as described above for the cDNA. Illumina paired-end 151 bp sequencing was performed on a Next-seq 500 apparatus (Illumina, USA).
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7

RNA-seq of Muscle Regeneration

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The libraries were prepared using a NEBNext Ultra II Directional RNA Library Prep Kit (NEB #7760), and fragments with a length of 300–500 nucleotides, including adapters, were selected. After testing the quality on an Agilent TapeStation 4200, paired-end sequencing (2 × 100) was performed on an Illumina NovaSeq 6000 sequencing system. Raw reads were loaded to the SRA NCBI database with the accession nos. from SRR16928147 to SRR16928155 for normal muscle and for two stages of regeneration, respectively.
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8

RNA Extraction and RNA-seq Library Preparation

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Total RNA was extracted from leukemic cells and purified B lymphocytes by Trizol (Life Technologies) reagent protocol, according to manufacturer instructions. RNA concentration and quality were determined using NanoDrop ND-1000 (ThermoFisher Scientific, MA, USA) spectrophotometer and Tapestation 4200 (Agilent Technologies, CA, USA) respectively. Indexed libraries were prepared from 150–200 ng of purified RNA with TruSeq Stranded total RNA Sample Prep Kit (Illumina, CA, USA) according to the manufacturer’s instructions. Libraries were quantified using the Tapestation 4200 and pooled such that each index-tagged sample was present in equimolar amounts, with final concentration of the pooled samples of 2 nM. The pooled samples were subjected to cluster generation and sequencing using an Illumina NextSeq. 500 System in a 2 × 100 paired-end format at a final concentration of 1.8pmol. For RNA-seq analysis see Supplemental Methods.
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9

RNA-Seq Library Preparation and Analysis

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For the preparation of indexed libraries (TruSeq Stranded mRNA) and paired-end sequencing in single (2 × 150, ~30,000,000 total reads/sample) on Illumina platform Hiseq 2500, as first samples were assessed after dilution by using Nanodrop spectrophotometer (to evaluate purity) and TapeStation 4200 (to evaluate integrity) as better detailed in supplementary quality control analysis report (Supplementary Material online).
Fastq underwent to Quality Control using FastQC tool (www.bioinformatics.babraham.ac.uk). To remove the adapter sequences, cutadapt was used58 . The mapping of paired-end reads was performed using STAR (Version 2.5.2b)59 (link) on reference GRCm38/mm10 assembly obtained from Ensembl60 (link). The quantification of transcripts expressed for each sample was performed using FeatureCount61 (link) algorithm. EdgeR62 (link) was used to perform the normalization matrix of all samples and the differentially expression analysis. To perform Gene Ontology analysis Panther database was used (Version 13.1)63 (link).
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10

Alveolar Macrophage RNA-seq Analysis

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Mouse alveolar macrophages were isolated via FACSorting at indicated time points. Approximately 100,000 cells were sorted into MACS buffer, immediately pelleted and lysed in RLT Plus buffer supplemented with 2-mercaptoethanol (Qiagen). RNA was isolated using RNeasy Plus kit with genomic DNA removal step. RNA quality was assessed on TapeStation 4200 instrument (Agilent), all samples had RNA integrity number (RIN) over 7. RNA-seq libraries were prepared from 100 ng of total RNA, starting with poly(A) enrichment and followed by NEB Next RNA Ultra I chemistry. Libraries were quantified and assessed on Qubit fluorimeter (Invitrogen) and TapeStation 4200, correspondingly, multiplexed and sequenced on NextSeq 500 instrument (Illumina), 75 bp, single end reads, to the average sequencing depth of 6×106 reads per sample. Over 94% of reads had Q score over 30. Reads were demultiplexed and mapped to mm10 version of the mouse genome using TopHat2 aligner and mapped to the genomic features using HTSeq and counts processed using edgeR package to estimate differentially expressed genes. FDR p value less than 0.05 was used to identify differentially expressed genes. K-means clustering was performed using GENE-E. Gene ontology analysis was performed using GOrilla on two unranked gene lists. The RNA-seq dataset is available at GEO: GSE98731.
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