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Hiseq 2500 flow cell

Manufactured by Illumina
Sourced in United Kingdom, United States

The HiSeq 2500 flow cell is a key component of Illumina's HiSeq 2500 sequencing system. The flow cell is a glass slide that contains multiple lanes, where DNA samples are loaded and sequenced. The flow cell is designed to facilitate the high-throughput sequencing of DNA samples, enabling the generation of large amounts of sequence data efficiently.

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24 protocols using hiseq 2500 flow cell

1

Comparative Transcriptome Profiling Using Microarray and RNA-Seq

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RNA was harvested from each of the four samples (row 2 of Figure 1). The four RNA samples were then processed twice on different days using the Agilent Quick Amp Labeling kit (Part no. 5190-0424) to produce eight cRNA libraries, each of which was then hybridized on two separate chips (Yeast Expression 8 × 15K arrays) on different days according to the factorial design. After the arrays were washed and scanned, features were extracted using the Agilent Feature Extraction software to determine red and green intensities.
The same four RNA samples were also processed using the Illumina TruSeq RNA Sample Prep v2 LS protocol. Each sample was prepared twice up to the 3′ end adenylation step, then each of the eight preparations was split into two aliquots, after which each was indexed and amplified to complete the RNA-Seq library preparation (row 3 of Figure 1). The two groups of eight samples that were indexed together were each mixed at equimolar concentrations and sequenced on separate lanes on the same Illumina HiSeq 2500 flowcell, to produce 141 bp reads. In total, we produced profiles from 16 RNA-Seq samples and 16 microarray samples with identically nested experimental designs (row 4 of Figure 1).
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2

Transcriptome Assembly of Fertile and Sterile Flowers

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RNA (~3 μg per sample) was used as the input material for constructing libraries. RNA-seq libraries were prepared using the TruSeq Paired-End (PE) Cluster Kit v3-cBot-HS (Illumina, PE125) according to the manufacturer's protocol. Libraries from fertile and sterile flowers, with three biological replicates, were sequenced in a single Illumina Hiseq 2500 flowcell, generating >139 million paired-end reads per sample. A Perl script was written to remove low-quality sequences (reads with a base quality < 20). For de novo reference transcriptome assembly, all high-quality RNA-Seq reads were pooled from the Illumina sequencing of each of the six samples (three biological replicates) and were then used as input for assembly using Trinity software (Grabherr et al., 2011 (link)). All raw sequence data have been deposited in the NCBI Sequence Read Archive (SRA, accession number SRP076665).
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3

Genotyping-by-Sequencing for SNP Discovery

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The GBS approach [11 (link)] was used to discover SNP markers. The mapping population was a set of 213 (of the 275) F1 individuals of the progeny TGdL x MB, including the 163 plants previously analysed by Beltramo et al. (2016) and 50 new individuals [29 ]. Only the plants situated at the edge of the experimental field were excluded.
Total genomic DNA was extracted from young leaves collected in the spring using a CTAB method [31 ]. Quantity and quality of extracted DNA were determined by the Qubit assay (Thermo Fisher Scientific) and by electrophoresis on 1% agarose gel and comparison against a Lambda DNA/EcoRI + HindIII marker (Thermo Fisher Scientific). In October 2014, approximately 3 μg of genomic DNA from each individual and the two parents were sent to the Genomic Diversity Facility at Cornell University—Institute of Biotechnology (USA) (http://www.biotech.cornell.edu/brc/genomic-diversity-facility) for GBS. Briefly, GBS libraries were constructed in 96-plex by digesting genomic DNA with the restriction enzyme ApeKI, a five-base cutter (5’ GCWGC 3’), followed by ligation of a barcode adaptor and a common Illumina sequencing adaptor to the fragmented DNA. The resulting libraries were run through an Illumina Hiseq2500 flow cell for sequencing.
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4

COPDGene Longitudinal RNA Sequencing

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The Genetic Epidemiology of COPD (COPDGene) study is a longitudinal cohort study that includes more than 10,000 non-Hispanic White and African American subjects enrolled at 21 centers across the United States18 (link). The COPDGene cohort includes primarily current and former cigarette smokers. The five-year follow-up visit included questionnaires, spirometry, chest computed tomography scans, and collection of blood for complete blood cell counts and RNA sequencing. Subjects were at least one month removed from an acute respiratory infection. The RNA-sequencing and data processing methods were reported previously6 (link),19 (link). Briefly, paired end reads with nominal 75 bp length were generated on an Illumina HiSeq 2500 flow cell. Sequencing was performed to an average depth of 20 million reads. For the human gene expression analyses, STAR aligner20 (link) was used to map the reads to GRCH38 and RSubreads produced gene-level counts21 (link) with Ensembl gene annotation22 (link). We confirmed concordance between sex-specific expression features and reported sex, and concordance between variants called from RNA sequencing reads and corresponding DNA genotyping.
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5

RNA-seq Analysis of Epidermal-Dermal Response

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Skin wound tissues (PW11d) of control and K14-CreER; LSL-Shh mice were incubated in 20 mM EDTA solution at 37 °C for 30 min. After separation of epidermis from dermis, total RNA was isolated from epidermis and dermis using RNeasy Plus Micro-Kit (Qiagen) as described by the manufacturer. Total RNA was provided to Genome Technology Center at NYU Langone Medical Center for preparing RNA-seq libraries and sequencing. RNA-seq libraries were prepared using the Illumina TruSeq Stranded Total RNA library prep, after ribodepletion with Ribozero Gold kit (Illumina) starting from 200 ng of DNAse I treated total RNA, following the manufacturer’s protocol (15 cycles of PCR amplification). The amplified libraries were purified using AMPure beads, quantified by Qubit and QPCR, and visualized in an Agilent Bioanalyzer. The libraries were pooled equimolarly, and sequenced on two lanes of an Illumina HiSeq 2500 flow cell, v4 chemistry as paired-end 50. The differentially expressed genes (DEG) were submitted to DAVID for GO term analysis69 (link). Top related enriched terms were selected and shown in the figures.
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6

Transcriptomic Profiling of Osteosarcoma

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Ewing and osteosarcoma cell lines (n = 11) were treated with XI-006 (0.5 μM) or vehicle control for 4 hrs. One μg of RNA was used for polyA selection and library construction with NEBNext UltraT RNA Library Prep Kits for Illumina sequencing, according to the manufacturer’s instructions (E7530 Version 2). The mRNA library size was validated with the Agilent BioAnalyzer on High Sensitivity chips, with yield determined with a Life Technologies Qubit 2.0 Fluorometer. The mRNA libraries were pooled and sequenced across five lanes of an Illumina HiSeq 2500 flowcell (1 × 50 bp reads) at the Australian Cancer Research Foundation Cancer Genomics Facility (Adelaide, Australia). Reads were trimmed for the NEB single end adapter “AGATCGGAAGAGCACACGTCTGAACTCCAG TCAC” with Cutadapt v1.3, requiring a minimum overlap of 5, allowing a 20% error rate and discarding trimmed sequences shorter than 18 bases. Reads were mapped to the UCSC hg19 genome and GTF annotations with Tophat 2.0.9 using default parameters. Gene counts were performed with HTSeq-count v0.6.1p1 using gene_id as the GTF feature ID.
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7

Preparing mRNA-seq Libraries using TruSeq

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The sequencing library for mRNA-seq was prepared using TruSeq RNA Sample Preparation Kit v2 (Illumina) according to manufacturer’s instructions. Briefly, 4 μg of total high-quality RNA (RNA Integrity Number greater than 8) was subjected for poly-A mRNA isolation using poly-T oligonucleotides. The poly-A mRNA was fragmented and the first-strand cDNA was synthesized using random hexamers followed by second-strand cDNA synthesis, end repair, addition of a single A base and adapter ligation. The adapter-ligated double-stranded cDNA library was enriched with 7–9 cycles of PCR using KAPA HiFi DNA polymerase (Kapa Biosystems). Four RNA libraries were pooled together and sequenced on one lane of a HiSeq2500 flow cell (Illumina) by single-end sequencing with 100-bp read length to a depth of at least 30 million reads for each library. The RNA-seq data have been deposited in the ArrayExpress database under accession number E-MTAB-5176.
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8

Transcriptome analysis of insect strains

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Total RNA was extracted from pooled homogenates of six insects of each of the five strains detailed in this study using the Bioline Isolate RNA Mini Kit (Bioline, London, UK) according to the manufacturer's guidelines. Prior to the RNAseq experiment the quality and quantity of RNA was checked using a NanoDrop spectrophotometer (Nanodrop Technologies, Wilmington, DE, USA). Total RNA was used as a template for the generation of barcoded libraries (TrueSeq RNA library preparation, Illumina). Libraries were sequenced by The Genome Analysis Centre (TGAC, Norwich, UK) with replicates multiplexed for sequencing on an Illumina HiSeq 2500 flowcell (100 bp paired end reads) to generate at least 15 million reads per biological replicate. FastQC (version 0.11.2) was used to check the quality of the raw reads obtained.
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9

Scalable Single-Cell RNA-Seq Library Prep

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We generated the following libraries using the DLP-scRNAseq: 402 single NHA cells with the same indexing primers, 92 single NHA cells with unique cell-specific primers, and triplicates of no-cell negative controls and positive control 5 pg UHR total RNA. These libraries were pooled into one tube, which we referred to as the nano-pool. We also prepared the following libraries in the microliter platform: 10 NHA cells in bulk, 500 NHA cells in bulk as well as a single replicate of 4 ng total UHR.
The DLP-scRNAseq NHA pool (0.5×), the bulk SMARTer NHA 500 cells (0.2×), the bulk NHA 10 cells (0.2×), and the bulk UHR (0.1×) were pooled and sequenced on one lane of an Illumina HiSeq 2500 flowcell (paired end 75 bp).
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10

RNA-seq Profiling of Oct4-GFP+ iPSCs

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Oct4-GFP+ cells were isolated to >95% purity using flow cytometry and total RNA prepared with the miRNeasy Mini Kit (QIAGEN). Polyclonal iPSC cultures used for RNA-seq were at passage 5. Libraries were synthesized using ScriptSeq Complete Gold Kit, Low Input using 500ng of RNA depleted of ribosomal RNA (Ribo-Zero, Epicenter). Libraries were run on three lanes of an Illumina HiSeq 2500 flow cell (v4 chemistry) as paired end, 50 nucleotides per read. Reads were aligned to mm10 using TopHat 2.0.9 with Bowtie 2.2.6. Samtools was used to select paired, unique reads. Reads aligning to mitochondrial DNA were removed. Remaining reads were quantified using HTSeq and analyzed using the R package DESeq2. An FPKM cut off of 1 (estimated with DESeq2′s FPKM function and the longest annotated isoform) was used when analyzing differentially expressed genes (fold change > 2; adjusted p value < 0.05). Enriched gene ontology terms were identified using GOrilla (Eden et al., 2009 (link)).
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