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Hiscansq system

Manufactured by Illumina
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The HiScanSQ system is a high-throughput sequencing platform designed for genetic analysis. It employs sequencing-by-synthesis technology to generate DNA sequence data. The system is capable of processing multiple samples simultaneously and producing a large volume of sequence data.

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64 protocols using hiscansq system

1

High-throughput SNP genotyping in families

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High throughput SNP genotyping was carried out in all available family members of six different families (n = 34) (Fig. 1A) using the HumanOmniExpress Exome arrays v1.3 and the HiScanSQ system (Illumina Inc., San Diego, CA, USA). The GenomeStudio program (GS; Illumina) was used to undertake quality assessments and generate PLINK input reports for HM45 (link). Homozygous segments across all family members in each pedigree were determined as previously described, and only those shared by affected family members but not by healthy subjects were considered as disease-associated loci24 (link),27 (link),29 (link). HM analyses were not carried out in Family ID-Fam04, in which direct WGS to identify the gene defects was performed in the only affected family member.
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2

FFPE-Derived DNA Methylation Profiling

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DNA was isolated from formalin-fixed, paraffin-embedded (FFPE) primary CRCs (Supplementary Information). Five hundred ng of total gDNA were treated with sodium bisulfite using the Zymo EZ DNA Methylation Kit (Zymo Research, Irvine, CA, USA) according to the Infinium HD Methylation Assay protocol. The bisulfite converted gDNA was hybridized on the Infinium Human Methylation 850 BeadChip array (Illumina Inc., San Diego, CA, USA), following the manufacturer’s instructions. After washing and staining procedures, chips were scanned by the Illumina HiScanSQ system.
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3

Genome-wide DNA Methylation Analysis

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Genome-wide methylation was interrogated using the Infinium HumanMethylation450K BeadChip (HM450) following the manufacturer’s specifications which included whole-genome amplification, fragmentation, hybridization, base extension, counterstaining and scanning. A Tecan Liquid Handling robot with the Te-Flow apparatus was used for single base extension and staining, and chips were scanned on a single HiScanSQ System (Illumina Inc.). The HM450 incorporates both Infinium I (methylated and unmethylated beads per CpG locus) and Infinium II assays (one bead type with the methylated state determined at the single base extension step after hybridization) to evaluate the DNA methylation status at 485,512 CpG loci, which covers 99% of annotated genes and 96% of defined CpG islands [22 (link)–24 (link)].
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4

Genome-Wide DNA Methylation Profiling

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Genomic DNA (500 ng) from each sample was treated by bisulphite conversion with the EZ DNA Methylation Kit (Zymo Research Corporation, Irvine, CA, USA) according to manufacturer’s recommendations. A total of 4 μL of bisulphite converted DNA was analyzed using Illumina Infinium Human Methylation 450 K BeadChip Array technology (Illumina, Inc., San Diego, CA, USA) according to the manufacturers protocol. Beadchips were scanned using the Illumina HiScanSQ system that employs a two-colour laser (532 nm/660 nm) fluorescent scanner with a 0.375 μm spatial resolution. The intensities of the images were extracted using Genome Studio (2011.1) Methylation Module (v1.8.5). The Illumina Human Methylation 450 K BeadChip interrogates 485,577 cytosine positions in the human genome; the majority are CpG dinucleotides, with 3,343 CNG sites (throughout the paper these are referred to collectively as CpG sites); 365,934 sites are located within known gene regions (promoter, gene body and UTRs [untranslated regions], and 119,830 are intergenic (see [110 (link)]).
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5

High-throughput SNP genotyping and homozygosity mapping

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High-throughput SNP genotyping was carried out in all available family members (Fig. 1A) by using the HumanOmniExpress Exome arrays v1.3 and HiScanSQ system (Illumina Inc., San Diego, CA, USA). Genotyping data was used to perform homozygosity mapping (HM) as previously described (Fig. 1B).3 (link)
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6

High-throughput SNP Genotyping in Families

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High-throughput single nucleotide polymorphism genotyping was carried out in all available family members (n = 6) (Fig. 1a) using the HumanOmniExpress Exome arrays v1.3 and HiScanSQ system (Illumina Inc., San Diego, CA, USA). The GenomeStudio program (GS; Illumina) was used to undertake quality assessments and generate PLINK input reports9 (link) for HM, and HM analyses were carried out as previously described.10 (link), 11 (link)
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7

Genome Sequencing and Annotation of Two Bacterial Strains

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Full genome sequencing was performed using the HiScan™SQ system (Illumina, San Diego, CA, USA), generating 10,785,126 individual readings of 150 bp in length. The genomes of B. amyloliquefaciens Bs006 and P. palleroniana PS006 were assembled using ARGO, a reference-guided assembler developed at NCBI, and SPAdes, a de novo assembler [43 (link)]. The draft genome was annotated using the Rapid Annotation using Subsystem Technology (RAST) server and the nr database, whilst antimicrobial resistance genes (ARGs) were identified using the SARG 2.0 database, RAST server, and nr database. Genome drafts were previously announced in Gamez et al. in 2015 and 2016 [37 (link), 38 (link)]. The COGs (Clusters of Orthologous Groups of proteins) categories were identified using the eggNOG-mapper tool (http://eggnog-mapper.embl.de/) employing the default options [44 (link)].
To quantify the number of genes/factors occurring in the genomes of the two strains involved in functions that are relevant in plant–microbe interactions, the online tool PIFAR (Plant–bacteria Interaction Factors Resource) was used [45 (link)].
Secondary metabolites biosynthetic clusters were detected with the antiSMASH tool (https://antismash.secondarymetabolites.org), using the default setting, and “strict” detection strengthness [46 (link)].
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8

RRBS for DNA Methylation Analysis

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DNA was prepared from 1 ml of whole blood (Wizard Genomic DNA purification kit, Promega, Poland) using the manufacturer's recommendations. We then digested 100 ng of prepared DNA with methylation-insensitive restriction enzyme MspI to generate short fragments—each containing at least one CpG site. After end-repair, A-tailing, and ligation to methylated adapters with attached indexes, the CpG-rich DNA fragments were size-selected, subjected to bisulfite conversion, and PCR-amplified. Finally, we produced two pools of 6 bisulfite libraries which were quantified (Qubit fluorometer, Thermo Fisher Scientific, Poland) and evaluated for their quality (TapeStation system, Agilent, Poland). We applied 50 cycles of single-read sequencing by synthesis on the HiScanSQ system (Illumina, USA). We made 30% spike-in of PhiX Control DNA (Illumina, USA) to increase the nucleotide diversity of RRBS libraries during the first cycles of NGS run.
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9

Profiling T-cell DNA Methylation via EPIC

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DNA methylation status of PE was determined using the Illumina MethylationEPIC BeadChip 850K microarray (66 (link)). Briefly, 600 ng of DNA of the studied samples (T-cell normal donor samples, T-ALL cell lines and primary malignancies) was used to hybridize to the BeadChip and scanned using HiScan SQ system (Illumina). Raw signal intensity data were initially QC’d and pre-processed from resulting idat files in R statistical environment (v3.6.2) using minfi Bioconductor package (v1.32.0). A number of quality control steps were applied to minimize errors and remove erratic probe signals, such as failed probes (detection p value >0.01), cross-reacting probes and probes that overlapped single nucleotide variants within +/− 1 bp of CpG sites followed by background correction and dye-based normalization using ssNoob algorithm (single-sample normal-exponential out-of-band). DNA methylation scores for each CpG were represented as a β-values ranging between standard 0 and 1 where 1 represents fully methylated CpGs and 0, fully unmethylated. All downstream analyses were performed under R statistical environment (v3.6.1). Unsupervised hierarchical clustering analysis using euclidean distance with complete-linkage clustering and heatmaps of methylation CpG Beta-values in the studied samples were used to represent the DNA methylation data. Raw DNA methylation data is available upon request.
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10

Transcriptional Profiling of Pten Knockout Mice

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Gene expression profiling (GEP) was done using the MouseRef-8 v2.0 Expression BeadChip (Illumina, San Diego, CA, USA), following the manufacturer’s protocol. Arrays were read on an Illumina HiScanSQ system. Data were first extracted with the Illumina GenomeStudio software and then imported in Genomics Suite 6.4 (Partek Incorporated, Saint Louis, MO USA) and quantile normalized. Transcripts with differences in expression were identified by ANOVA. Enrichment analysis was performed using Gene Set Enrichment Analysis (GSEA) 56 (link). Raw data have been deposited in National Center for Biotechnology Information’s Gene Expression Omnibus (GEO) and are accessible through GEO accession no. GSE74245. GSEA was performed on entire gene list ranked according to fold changes observed between Ptenpc-/- and Ptenpc-/-; Pdha1pc-/Y mice. The GS collection assessed includes all GSs smaller than 10 and larger than 500 (8335 out of 22423 GSs retained) compiled according to57 (link) the 24.03.15. GSs yielding significance ((FDR <0.05; nominal p-value <0.005; TAGS ≥50%) were retained and assessed for their role in metabolic processes after visualizing the data as described 58 (link). For the 3 relevant clusters identified, their GSs’ FDR q-values were, together with unaffected metabolic processes log2 transformed and inversed for display in Fig. 2a.
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