The largest database of trusted experimental protocols

Hiseq 2500 instrument

Manufactured by Illumina
Sourced in United States, China, Canada, Switzerland

The HiSeq 2500 instrument is a high-throughput DNA sequencing system designed for a wide range of applications, including whole-genome sequencing, targeted resequencing, and transcriptome analysis. The instrument utilizes Illumina's proprietary sequencing-by-synthesis technology to generate high-quality DNA sequence data.

Automatically generated - may contain errors

223 protocols using hiseq 2500 instrument

1

miRNA Sequencing and Differential Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
The miRNA sequencing was performed in both EMPA-sEV and MSC-sEV. Small extracellular vesicles' miRNA sequence was analyzed by RiboBio (Guangzhou, China) using the Illumina HiSeq™ 2500 instrument. Differentially expressed miRNA were identified by fold change (|log2(FoldChange)| > 1) and significance levels (P value < 0.05). Bioinformatics analysis was performed, including differential expression miRNA analysis, miRNA target gene prediction, GO analysis, and KEGG pathway enrichment analysis.
+ Open protocol
+ Expand
2

Exome Sequencing for Tumor Profiling

Check if the same lab product or an alternative is used in the 5 most similar protocols
High quality DNA was isolated using the Promega Wizard Genomic DNA Purification Kit (Promega, Wisconsin, United States) and the QIAamp DNA FFPE Tissue kit (Qiagen, Venlo, Netherlands) as previously described. One microgram of genomic DNA was used to produce exome-captured sequencing libraries using the Agilent SureSelect Human All Exon v5 kit (Agilent Technologies, California, United States). Paired-end 100-bp sequencing of each exome capture library was done using an Illumina HiSeq 2500 instrument and Illumina’s TruSeq SBS v3 chemistry (Illumina, California, United States).
Reads from tumor and matched normal blood sample were aligned separately to the human NCBI Build GRCh37 reference genome using Novoalign (Novocraft Technologies, Selangor, Malaysia) with default parameters. PCR duplicates, improper pairs and ambiguously mapped reads were removed using in-house scripts. SNVs were called using MuTect [13 (link), 14 (link)]. Variants annotation was done using Oncotator.
+ Open protocol
+ Expand
3

Transcriptome Analysis of Porcine iPSCs

Check if the same lab product or an alternative is used in the 5 most similar protocols
Total RNA was extracted from the Lv-piPSC, Epi-piPSCs and pESCLC lines cultured in respective conditions by using STAT-60. The quantitation and quality control of RNA from all samples was performed on a Fragment Analyzer (Advanced Analytical), and cDNA libraries were constructed by standard methods (Illumina TruSeq mRNA stranded kit) with index adapters (Illumina TruSeq indexes). The RNA-Seq data were generated on the Illumina (HiSeq 2500 instrument) platform by 50 bp paired-end sequencing. The sequencing reads were aligned onto Sscrofa11.1 reference genome by TopHat v2.1.0 software41 (link) . The mapped reads were transformed into the count matrix with default parameters by HTSeq v0.8.0 software42 (link), followed by normalization with DESeq v2 software43 (link). Differentially expressed genes (DEGs) were identified by means of the same software, DESeq2, based on negative binomial generalized linear models. GO enrichment analysis of the DEGs was performed by using PANTHER (www.pantherdb.org/)44 (link). For the visualization of enriched GO terms in ranked lists of DEGs and their clustering, all heatmaps were generated by the Heatmapper (www.pantherdb.org/)45 (link) with log2 transformed values.
+ Open protocol
+ Expand
4

RNA-Seq Profiling of B. cenocepacia

Check if the same lab product or an alternative is used in the 5 most similar protocols
For RNA extraction, 50 ml ABG aliquots were inoculated from starter cultures (5 ml LB broth) with an OD600 of 0.03 and incubated at 37 °C with agitation (220 rpm). Synthetic valdiazen resuspended in methanol was added from the start to a final concentration of 50 µM when appropriate. An equal volume of methanol was added to all cultures not containing synthetic valdiazen. The final methanol concentration in all cultures was 0.1%. Three independent cultures were grown to an OD600 of 0.9 to 1 and harvested, using 1/10 of stop solution (10% phenol buffered with 10 mM Tris-HCl pH 8). RNA extraction and genomic DNA removal were performed as previously described58 (link). A total of 150 ng good quality RNA (RNA integrity factor > 6) were further processed (cDNA synthesis and library preparation) using the Ovation® Complete Prokaryotic RNA-Seq Library System from NuGEN. After quantification of the obtained cDNA libraries59 (link), Illumina single-end sequencing was performed on a HiSeq2500 Instrument. The CLC Genomics Workbench v7.0 (QIAGEN CLC bio, Aarhus, Denmark) was used to map the sequencing reads to the B. cenocepacia H111 reference sequence60 (link). Statistics and differential analysis was done using the DESeq software61 (link)
+ Open protocol
+ Expand
5

Candida albicans RNA-seq Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
RNA was sent to the Tufts University Core Facility for library preparation and sequencing using the Illumina TruSeq RNA library preparation kit and the HiSeq 2500 instrument. Sequencing data were analyzed using the Tuxedo Suite as previously described (31 (link)). NCBI genome Candida albicans SC5314 (assembly ASM18296v3; accession no. GCF_000182965.3) and annotation GFF file were used as the reference genome. A bowtie2 index was created using bowtie2-build (v2.2.1) from the fna sequence file, while the downloaded GFF was converted to GTF using gffread for downstream use. The raw sequencing reads for each sample were mapped to the bowtie2 index using bowtie2 (v2.2.1) with default parameters and then sorted and converted to bam format using samtools v1.9 (sort function). The resulting sorted bam files were used as input for Cuffdiff (Cufflinks v2.1.1) with the triplicates grouped. Genes with a fold change of over 2 were considered.
+ Open protocol
+ Expand
6

Transcriptome Analysis of HDMVEC Cells

Check if the same lab product or an alternative is used in the 5 most similar protocols
Purified RNA from the HDMVEC is submitted to the University of California, San Diego (UCSD) Institute for Genomic Medicine core facility for library preparation and high-throughput next-generation sequencing. Libraries are constructed using TruSeq Stranded mRNA Library PrepKits (Illumina, San Diego, CA) and run on a HiSeq. 2500 instrument (Illumina). Sequence reads are quantitated using Whippet (version 1.6.1) (76 (link)) with the GRCh38.p13 RefSeq genome annotations. Differential expression analysis and PCA analysis are performed with DESeq2 (version 1.34.0) (77 (link)). KEGG pathway analysis is performed with significant differentially expressed genes (adjusted P-value < 0.05) using clusterProfiler (version 4.2.2) (78 –80 (link, link)).
+ Open protocol
+ Expand
7

Shotgun Metagenomics of Fecal Microbiome

Check if the same lab product or an alternative is used in the 5 most similar protocols
DNA was extracted from fecal samples with the QIAamp fast DNA stool minikit (Qiagen, Hilden, Germany). Shotgun metagenomic sequencing was performed on all samples with an Illumina HiSeq 2500 instrument. Libraries were constructed using NEBNext Ultra DNA library prep kit for Illumina (NEB, USA) following the manufacturer’s recommendations to generate DNA fragments of ∼300 bp; paired-end reads were generated by sequencing 150 bp in the forward and reverse directions.
A total of 93 stool samples were shotgun sequenced (n of 17 and 14 for Probio-M8 and placebo groups; sampling at days 0, 30, and 90 for each individual), generating 630.62 Gbp of high-quality paired-end reads (6.78 ± 0.97 Gbp/sample; range = 4.45 to 9.69 Gbp) for downstream analysis. Low-quality (sequences shorter than 60 nucleotides [nt]) and host-contaminated reads were filtered through the KneadData quality control pipeline (http://huttenhower.sph.harvard.edu/kneaddata).
+ Open protocol
+ Expand
8

Profiling Gut Microbiome from Fecal Samples

Check if the same lab product or an alternative is used in the 5 most similar protocols
DNA was extracted from fecal samples using methods described in the Human Microbiome Project [62 (link)]. In brief, microbial cells in fecal homogenates were physically disrupted by bead-beating, and then DNA was purified using a Mo Bio PowerSoil DNA isolation kit. The DNA was checked for quantity and quality using a combination of gel electrophoresis, nanodrop spectrometry, and Qubit fluorometry. The DNA was shotgun sequenced by NZ Genomics Ltd using Nextera library preparation and pools of 12 barcoded samples run per lane on an Illumina HiSeq 2500 instrument (Illumina).
Gut microbiome sequence data were analyzed using recognized computation (bioinformatics) tools [27 (link)]. These tools include the preparation of species-sampling curves that are the classic means of evaluating ecological richness (alpha diversity—biodiversity). As the genomes of all microbial species present in the microbiota were sequenced as small DNA fragments, both phylogenetic (describing what kinds of microbes are there and their relative abundances; MetaPhlAn2, QIIME v2) and functional (the biochemical capacity encoded in the metagenome; HUMAnN2) information are available [61 ].
+ Open protocol
+ Expand
9

Single-cell RNA-seq of pig reproductive cells

Check if the same lab product or an alternative is used in the 5 most similar protocols
PicoPure RNA Isolation Kit (Applied Biosystems™, Vilnius, Lithuania) was used to extract the total RNA from isolated LE, GE, BV, and stromal cells of individual pig following the manufacturers’ instructions. After RNA isolation, each RNA sample was performed on the Agilent 2100 Bioanalyzer (Agilent Technologies, Waldbronn, Germany) with the Agilent RNA 6000 Pico assay to assess RNA integrity and quantity. RNA Integrity number (RIN) of all samples ranged from 6.1 to 8.7, and most samples’ RIN number were around 7.5. Total RNA with 800 pg input was used for starting the library preparation, then a number of 32 RNA samples with 4 biological replicates in each cell type were prepared following the Ovation SoLo Single Cell RNA-Seq System (NuGen Technologies, San Carlos, USA). It was worth to notice that the number of PCR cycles was set with 16 during the amplification. Finally, a total number of 32 individual libraries with unique barcodes were mixed within three pools for one lane sequencing with single-read flow cell on an Illumina HiSeq 2500 instrument. The process of sequencing and demultiplexing was provided by the Functional Genomics Center Zurich (FGCZ).
+ Open protocol
+ Expand
10

Extracellular Vesicle RNA Isolation and Sequencing

Check if the same lab product or an alternative is used in the 5 most similar protocols
RNA isolation from ASC‐EVs, library generation, cluster amplification, and sequencing were performed by Macrogen (Seoul, Korea). Samples for small RNA sequencing were prepared as described previously (Jung et al., 2020 (link)). Briefly, RNA was extracted from ASC‐EVs using the Maxwell RSC miRNA from plasma (Promega). Libraries were then generated using the SMARTer smRNA‐seq Kit for Illumina (Takara Bio, Shiga, Japan) according to the manufacturer's protocol. The Illumina HiSeq 2500 instrument (Illumina, San Diego, CA, USA) was used for sequencing the libraries. Target genes of each miRNA in ASC‐EVs were predicted using publicly available algorithms, including TargetScan 7.2 (http://www.targetscan.org) and miRDB (www.mirdb.org).
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!