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Hiseqtm 2500 system

Manufactured by Illumina
Sourced in United States, China

The HiSeqTM 2500 system is a high-throughput DNA sequencing platform developed by Illumina. The system utilizes reversible terminator-based sequencing-by-synthesis technology to generate DNA sequence data. The HiSeqTM 2500 is capable of producing up to 600 gigabases of sequence data per run.

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28 protocols using hiseqtm 2500 system

1

Transcriptome Profiling of Plant Root Samples

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Total RNA was extracted from six root samples (CK-1, CK-2, CK-3, T-1, T-2 and T-3) following the manufacturer’s instructions of Trizol reagent (Invitrogen, Carlsbad, CA, USA). The purity and quality of total RNA were measured on Agilent 2100 Bioanalyzer system (Agilent Technologies, Santa Clara, CA) and Qubit® 2.0 (Invitrogen, Life Technologies, CA, USA). Following the protocol of the Gene Expression Sample Prep Kit (Illumina, San Diego, CA, USA), six libraries (CK-1, CK-2, CK-3, T-1, T-2 and T-3) were constructed. These six libraries were sequenced on an Illumina HiSeqTM 2500 system with the pair-end and 125 bp mode by BIOMARKER (Beijing, China). Raw sequence data were deposited in Short Read Archive (SRA) of National Centre for Biotechnology (NCBI) and are available under BioProject accession PRJNA326331.
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2

RNA-seq Library Preparation and Analysis

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The extracted mRNA was used to construct RNA-seq libraries using rRNA-depleted RNAs with the NEBNext® Ultra™ II RNA Library Prep Kit (New England Biolabs, Ipswich, MA, USA) following the manufacturer’s protocol. To ensure that the sample quality requirements were met before testing, library quantification was performed using a Qubit 2.0 instrument, and library insert size was evaluated using an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). The libraries were then pooled and sequenced on the HiSeqTM 2500 system (Illumina, San Diego, CA, USA). Gene expression levels were estimated according to the expected number of fragments per kilobase of transcript per million mapped fragments by HTSeq v0.9.1 (Anders et al., 2015 (link)). Pairwise comparisons were performed, and clustering was implemented for all expressed genes using the Trinity v2.8.4 package (Grabherr et al., 2011 (link)).
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3

Illumina RNA-seq Analysis of Silkworm

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Quality analysis was conducted for the original data obtained using the Illumina HiSeqTM2500 system; after quality criteria were met, clean reads were screened by filtering out low-quality reads. The sequences were aligned to the silkworm genome database SilkDB (http://silkworm.swu.edu.cn/silkdb/); after a second quality analysis for alignment, analysis of the distribution and coverage of the clean reads on the reference sequence was conducted. RPKM (Reads Per Kb per Million reads) [24 (link)] was used to calculate the expression level of genes, with RPKM = mapped reads of gene/(the total mapped reads of all genes*the length of this gene)*10^9. The RPKM of a gene ranged up to 5, and difference in expression was considered at P < 0.05; the fold change of q-lp and 932VR RPKMs was greater than 2. The function of the differentially expressed genes and pathways related to pigment were analyzed using BLASTGO and KEGG, respectively.
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4

Transcriptome Analysis of Damaged Spinal Cord

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A Trizol reagent kit (Invitrogen, Carlsbad, CA, USA) was used to extract total RNA from damaged SC samples according to the manufacturer’s instructions. Using an Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA, USA), the RNA quality was evaluated and verified using RNase-free agarose gel electrophoresis. Total RNA was sequenced using a HiSeqTM 2500 system (Illumina, San Diego, CA, USA) by Gene Denovo Biotechnology Co. (Guangzhou, China). RNA extraction, library construction and sequencing, Unigene expression analysis, basic unigene annotation, trend analysis, Gene Ontology (GO) enrichment analysis, and pathway enrichment analysis were performed. The unigene sequences were subjected to BLAST search against the Nr database, and the sequence that best aligned with each unigene was defined as the homologous sequence. The species to which the homologous sequence belonged was determined, and the number of homologous sequences in each species was calculated. If there was more than one homologous sequence, the first one was selected for further analysis. Next, we mapped all of the unigenes to the KOG database based on the annotation derived from the Nr protein database to predict potential gene functions and expression levels, as well as to clarify the macro-level characteristics of a species’ gene function distribution. Detailed methods are shown in Additional file 1.
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5

CSF EV and Glioma RNA Profiling

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Using TRIzol, total RNA was extracted from CSF EVs and glioma tissues using the miRNeasy Micro Kit (Qiagen, Hilden, Germany). Small (i.e.,18–30 nt) RNAs were enriched by polyacrylamide gel electrophoresis (PAGE). Then the 3′ adapters added, and the 5′ adapters were ligated. The products were reverse transcribed using PCR amplification. Their 140–160 bp size products were enriched to generate a cDNA library and finally sequenced on an Illumina HiSeqTM2500 system (San Diego, CA, USA).
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6

PADI3 Overexpression in HCT116 Cells

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HCT116 cells were transfected with pCDNA3.1-PADI3-RFP plasmids, and cells transfected with pCDNA3.1-RFP plasmids were used as controls. After 60 h of culture, the cells were harvested, and total RNA was extracted using a mirVanaTM miRNA Isolation Kit (Thermo Fisher Scientific, USA). The quality of the total RNA was evaluated using an Agilent 2100 Bioanalyzer (Agilent, USA), and RNA-sequencing was performed using an Illumina HiSeqTM 2500 system. Three independent experiments were performed to verify the results. Genes showing a ≥ 3-fold change in their expression level were selected for further study.
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7

RNA-Seq Analysis of Fruit Ripening

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Longfeng and GLF fruits were collected at 72 DAFB and used for RNA-Seq. Fruits were collected from 3 trees (3 fruits per tree), and the fruit flesh from each tree was equally mixed and used as 1 biological replicate. A total of 3 biological replicates were used. Total RNA was extracted according to previously reported methods (Gambino et al., 2008 (link)). cDNA library construction, RNA-Seq, and the bioinformatics analysis were performed by Biomarker Technologies Co., Ltd. (Beijing, China). RNA-Seq was performed using an Illumina HiSeqTM 2500 system (Illumina, San Diego, California, United States).
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8

Analyzing Polyamine Metabolism in Kidneys

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The RNA-seq studies were performed by Novogene Bioinformatics Technology Co., Ltd. (Beijing, China). Briefly, total RNA was isolated from kidneys and subjected to quality control analysis using an Agilent 2100 Bioanalyzer with RNA 6000 Nano Kits (Agilent, USA). After poly A selection the samples were fragmented and reverse-transcribed to generate complementary DNA for sequencing. Libraries were sequenced on the HiSeqTM 2500 system (Illumina). Clean reads were aligned to a mouse reference genome using Hisat2 v2.0.4. Gene expression levels were estimated using fragments per kilobase of transcript per million mapped fragments (FPKM) by HTSeq v0.9.1.
Measurement of polyamine levels and ODC activity. Cellular polyamine content was determined as previously described [38 (link),39 (link)]. Briefly, perchloric acid extracts of cells were dansylated and chromatographs were resolved by reverse-phase high-performance liquid chromatography with an increasing acetonitrile/H2O gradient. ODC activity was measured following a previously described protocol [40 (link),41 (link)].
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9

Genome Resequencing of Arabidopsis Mutant Lines

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Young leaves were collected from the Lab-WT line and 11 M3 lines derived from CIB. Genomic DNA was extracted by using the routine protocol of CTAB (cetyltrimethylammonium bromide). The genomic re-sequencing was performed by the IIIumina HiSeqTM 2500 system (Illumina, Inc.; San Diego, CA, USA) at the Biomarker Technologies Company (Beijing, China). Raw data were filtered following the standard process of Illumina, and the clean data obtained were then mapped onto the reference genome of Col-0 (TAIR10, http://www.ncbi.nlm.nih.gov/assembly/GCF_000001735.3) by using the Burrows-Wheeler Alignment tool (http://bio-bwa.sourceforge.net/bwa.shtml, v.0.7.15; Li and Durbin, 2009 (link)) and SAMtools (http://www.htslib.org/workflow/#mapping_to_variant, v.1.3.1; Li et al., 2009 (link)). The average depth of the re-sequenced lines had a 23–33-fold range, while those reads with a depth >10-fold accounted for up to 98.87% of the total reference genome, on average (Table S1).
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10

RNA-seq Analysis of Monocyte Aging

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The RNA-sequencing experiments were performed by OE Biotech Co., Ltd. (Shanghai, China) using an Illumina HiseqTM 2500 system (Illumina, Inc., San Diego, CA, USA). RNA isolated from blood monocytes taken from young or old mice was used for RNA-seq. These RNA samples were converted into a library of cDNA fragments, Illumina sequencing adapters were added, and 50 bp single end read sequences were obtained using the Illumina HiSeq system. A quality check was performed on these sequence reads using FastQC. EdgeR software was used to analyze the data, and P < 0.05 was considered to indicate a statistically significant difference.
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