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Hiseq 2500 v4 system

Manufactured by Illumina

The HiSeq 2500 V4 system is a high-throughput sequencing instrument designed for a variety of genomic applications. It utilizes Illumina's sequencing-by-synthesis technology to generate DNA sequence data. The system is capable of producing large volumes of high-quality sequence data in a timely manner.

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10 protocols using hiseq 2500 v4 system

1

Comprehensive RNA-seq Analysis of Tumor Tissue

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For NGS, tumor tissue was resected 5 d after tumor inoculation and was immediately transferred into RNAlater stabilization solution (Ambion). For total RNA isolation, the tumor tissue was homogenized using a tissue homogenizer (Omni International), and total RNA was extracted using the RNeasy Micro Kit Plus (QIAGEN) according to the manufacturer’s instructions. NGS was performed by the Functional Genomic Center Zurich (http://www.fgcz.ch) using the HiSeq 2500 v4 System (Illumina). Quality control included the fastqc and DESeq2 analysis. The GO pathway analysis of tumor tissues was performed using the MetaCore software (Thomson Reuters), and visualization was performed with the TM4 MultiExperiment Viewer (Saeed et al., 2003 (link)). Pathway analysis of differentially expressed genes in splenic Rorcfm+ ILCs versus splenic Eomes ILC1s, Eomes+ NK cells and siLP Rorcfm+ ILCs (based on Fig. S3) using David Bioinformatics Resources to extract GO terms “BP” (biological process) and “ReViGo” for visualization of the false discovery rate: Benjamini-Hochberg ≤ 0.01. PCA was performed using Matlab 2014b (MathWorks).
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2

Transcriptome Analysis of Funicular Tissue

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Total RNA was prepared from 100 mg of funicular tissue using TRIzol Reagent (Sigma–Aldrich, Dorset, UK). Tissue samples were homogenized in 1 mL of TRIzol Reagent and 300 μL chloroform and subsequently precipitated using 500 μL isopropanol (Sigma Chemical, Wicklow, Ireland). RNA samples were stored at −80 °C. Then, 20 μg of total RNA from each sample was treated with RNase-free DNase (QIAGEN, Crawley, West Sussex, UK) to prevent genomic DNA contamination and purified using the RNeasy Mini Kit in accordance with the manufacturer’s instructions (QIAGEN, Crawley, West Sussex, UK). RNA quality and quantity were assessed using automated capillary gel electrophoresis on a Bioanalyzer 2100 with RNA 6000 Nano Labchips, according to the manufacturer’s instructions (Agilent Technologies Ireland, Dublin, Ireland). Then, 5 μg of RNA from each sample was used for library construction using standard protocols. Paired-end libraries were constructed for control funiculi at 28 DAF (CF28) and the funiculi associated with silique walls covered with aluminum foil after 7 days treatment, namely 28 DAF (SF28). The median insert size was 250 bp. Two biological replicate RNA samples from each funiculus were sequenced using the Illumina HiSeq 2500V4 system. The total number of mate-paired reads for each sample ranged from 8,000,000 to 13,000,000. Read lengths of 125 bp were collected.
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3

Nile Tilapia Transcriptome Sequencing Protocol

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cDNA was generated with SmartSeq2 protocol (Picelli et al. 2014 (link)) and libraries were prepared with an optimized Nextera protocol (Baym et al. 2015 (link)).
RNA libraries of the 30 samples were pooled and sequencing was performed by the Centre for Genomic Regulation (CRG, Barcelona, Spain). cDNAs were amplified according to the Illumina RNA-Seq protocol and sequenced in three lanes using the Illumina HiSeq 2500 v4 system as paired-end 75-bp reads so that 200-300 million reads per lane (i.e., 20-30 Mio reads/sample) could be achieved.
Quality of the data were checked with FASTQC software 0.11.7 (Andrews 2010 ). Cutadapt 1.18 (Martin 2011 (link)) was used to remove low quality reads (quality-cutoff set to 20) and adapter sequences keeping only paired end-reads having a minimum length of 30 bp. Clean reads were mapped onto the Nile tilapia, Oreochromis niloticus, reference genome (Oreochromis_niloticus.Orenil1.0.92) using Hisat2 2.1.0 (Kim et al. 2015 (link)). Quality control of alignments was ascertained with Qualimap 2.2.1 (Okonechnikov et al. 2016 (link)) and the table of counts was generated with FeatureCounts 1.6.1 (Liao et al. 2014 (link)). The RNAseq produced a total number of clean reads that ranged between 10.06 and 29.2 million reads. About 8.56 to 26.16 million reads were mapped onto the genome.
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4

Whole Blood Transcriptome Analysis

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Whole blood was sampled in Tempus Buffer (Thermo Fisher Scientific). Total RNA was purified from whole blood using the Tempus Spin RNA Isolation Kit (Thermo Fisher Scientific) and then quantified using the Quant-iT RiboGreen RNA Assay Kit (Thermo Fisher Scientific). Quality control performed using a Bioanalyzer (Agilent). RNA samples were depleted of globin mRNA using the Globinclear Kit (Thermo Fisher Scientifc) prior to mRNA library preparation using the NEBNext Kit (New England Biolab, USA). Libraries were sequenced on an Illumina HiSeq 2500 V4 system. Sequencing quality control was performed using Sequence Analysis Viewer (SAV). FastQ files were generated on the Illumina BaseSpace Sequence Hub (https://emea.illumina.com/products/by-type/informatics-products/basespace-sequence-hub.html). Transcript reads were aligned and quantified relative to the “Vero_WHO_p.1.0 Chlorocebus sabaeus (AGM) transcriptome reference from NCBI using Salmon v1.9.046 (link) Quality control of the alignment was performed via MultiQC v1.13.46 (link) Finally, counts were filtered and normalized using the EdgeR v3.38 R package. Weakly expressed genes were excluded using the filterByExpr function with default parameters. The conserved counts were normalized as counts per million, plus 0.0001 to avoid null values, and then log2 transformed.
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5

Illumina Nextera Indexed cDNA Sequencing

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The Illumina Nextera Indexing Kit (Illumina) was used to generate the final i5 and i7 indexed cDNA libraries for Illumina sequencing following the manufacturers’ protocols with modification to the PCR-thermocycler conditions (98 °C for 5 min, 20 cycles at 98 °C for 10 s, 66 °C for 30 s, 72 °C for 1 min, 72 °C for 2 min for the final extension). Indexed libraries were purified using Agencourt AMPURE SPRI beads (Beckman Coulter) followed by quality assessment and quantification using an Agilent Bioanalyzer 2100 and picogreen staining (Thermo Fisher), respectively. Libraries were diluted to 2 nM and sequenced using an Illumina HiSeq2500v4 system with paired-end 2 × 125-bp configuration and single-end 125-bp configuration (where the other end remained unmapped since it was more than 125-bp away). Only read pairs containing identifiable Illumina sequencing adapters were considered for downstream analysis.
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6

Genetic Correlations in COVID-19 and Allergic Asthma

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To identify common genetic interrelations and correlations between patients with COVID-19 and allergic asthma, we used both RNA-seq and microarray analysis datasets from the Gene Expression Omnibus (GEO) database (National Center for Biotechnology Information; https://www.ncbi.nlm.nih.gov/geo/) (24 (link)). For the COVID-19 dataset, we used GEO accession number GSE171110 (25 (link)), which contains whole-blood RNA-sequencing (RNA-seq) data from patients with COVID-19 and healthy donors. The data were obtained through high throughput sequencing using the Illumina HiSeq 2500 V4 system. The allergic asthma dataset (GSE143192) (26 (link)) was collected from peripheral blood mononuclear cell samples from asthmatic patients and healthy volunteers. The sequencing data were obtained using the Agilent-078298 human ceRNA array, V1.0 4X180K. A summary of the information contained in both datasets is provided in Table 1.
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7

Whole Blood RNA Sequencing Workflow

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Total RNA was purified from whole blood using the Tempus™ Spin RNA Isolation Kit (ThermoFisher Scientific). RNA was quantified using the Quant-iT RiboGreen RNA Assay Kit (Thermo Fisher Scientific) and quality control performed on a Bioanalyzer (Agilent). Globin mRNA was depleted using GLOBINclear Kit (Invitrogen) before mRNA library preparation with the TruSeq® Stranded mRNA Kit, as per the Illumina protocol. Libraries were sequenced on an Illumina HiSeq 2500 V4 system. Sequencing quality control was performed using Sequence Analysis Viewer. FastQ files were generated on the Illumina BaseSpace Sequence Hub. Transcript reads were aligned to the hg18 human reference genome using Salmon v0.8.2 (Patro et al., 2017 (link)) and quantified relative to annotation model "hsapiens_gene_ensembl" recovered from the R package biomaRt v2.42.1 (Durinck et al., 2009 (link)). Quality control of the alignment was performed via MultiQC v1.4 (Patro et al., 2017 (link)). Finally, counts were normalized as counts per million.
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8

Gene Expression Profiling of COVID-19 Convalescence

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Gene expression profiling was carried out on the whole blood of 10 HD and of 22, 25, and 18 samples of convalescent patients. Eight, 12, and 9 convalescent patients were sampled only at M1, M3, and M6, respectively. In contrast, 8 patients were sampled both at M1 and M3, 4 patients at M1 and M6, 3 patients at M3 and M6, and only 2 patients at M1, M3, and M6. Total RNA was purified using the Tempus™ Spin RNA Isolation Kit (ThermoFisher Scientific). RNA was quantified using the Quant-iT RiboGreen RNA Assay Kit (Thermo Fisher Scientific) and quality control performed on a Bioanalyzer (Agilent). Globin mRNA was depleted using the Globinclear Kit (Invitrogen) prior to mRNA library preparation with the TruSeq® Stranded mRNA kit, according to the Illumina protocol. Libraries were sequenced using an Illumina HiSeq 2500 V4 system.
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9

Single-cell RNA-seq of Sall1-expressing Microglia

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For next generation sequencing (NGS) microglia of Sall1 CreER/fl and control Sall1 fl/fl mice were sorted and total RNA was isolated using the RNeasy micro plus kit (Qiagen). 2 ng RNA were amplified using the Ovation® Single Cell RNA-seq System kit (Nugen) according to the manufacturer's protocol. NGS and bioinformatic analysis was performed by the Functional Genomics Center Zurich (FGCZ) using the HiSeq 2500 v4 System (Illumina). Quality control included fastqc and DESeq2 analysis. GO pathway analysis was performed using the MetaCore™ software (Thomson Reuters) and visualization was done using the MultiExperiment Viewer (TM4) and Prism (GraphPad).
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10

RNA-seq Analysis of Alveolar Macrophages

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Total RNA was isolated from FACS-sorted AMs (R1.5 3 10 5 cells) using the RNeasy micro plus kit (Qiagen). 100 ng total RNA samples were poly-A selected and used for library preparation with TruSeq Stranded mRNA Sample Prep Kit (Illumina, Inc, California, USA). Next generation sequencing was performed by the Functional Genomics Center Zurich (FGCZ) using the HiSeq 2500 v4 System (Illumina). Bioinformatic analysis was performed using SUSHI platform developed by the FGCZ. In short, Fastqc for quality control, STAR for mapping, DexSeq for exon counts, RSEM for transcript counts, and EdgeR for differentially expressed genes (DEG) were done with SUSHI. Gene ontology (GO) analysis by SUSHI and Gene Set Enrichment Analysis (GSEA) were performed on DEGs with p < 0.001.
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