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Hiscan system

Manufactured by Illumina
Sourced in United States, Denmark

The HiScan system is a high-performance, automated microarray scanner designed for accurate and efficient data acquisition. It features a compact design and advanced optics to capture precise and quantitative data from a wide range of microarray applications.

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59 protocols using hiscan system

1

GWAS Genotyping of Brassica napus

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For the GWAS, 398 B. napus inbred lines were assayed at Agriculture and Agri-Food Canada using a customized B. napus 6K Illumina Infinium SNP array (http://aafc-aac.usask.ca/ASSYST/). As described in detail in Körber et al. (2015 (link)), this array was designed from next generation sequence (NGS) data. It contained 5506 successful bead types representing the same number of potential SNPs. Samples were prepared and assayed as per the Infinium HD Assay Ultra Protocol (Infinium HD Ultra User Guide 11328087_RevB, Illumina, Inc., San Diego, CA). The Brassica 6K BeadChips were imaged using an Illumina HiScan system, and the SNP alleles were called using the Genotyping Module v1.9.4, within the GenomeStudio software suite v2011.1 (Illumina, Inc. San Diego, CA). Only SNPs with a percentage of missing data <30% across all genotypes and a minor allele frequency>0.05 as well as genotypes with a percentage of missing data < 20% across all SNPs were used for the following statistical analysis. From these 3910 SNPs, 3466 could be assigned to a physical map position derived from the reference information of the B. napus winter line Darmor-bzh (Chalhoub et al., 2014 (link)) (Data Sheet S2).
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2

DNA Methylation Profiling Using Infinium EPIC

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Whole blood samples were collected, and DNA was extracted for methylation profiling. DNA methylation was measured using Infinium® MethylationEPIC BeadChip (Illumina, Inc., San Diego, CA, USA) at 850 000 CpG sites throughout the genome. The assay for each cohort (both cases and controls) was performed in one batch. Genomic DNA samples were bisulfite-converted using the EZ-DNA Methylation Kits (Zymo Research, Irvine, CA, USA) and subsequently analyzed using the Illumina Infinium® HD methylation protocol on the HiScan™ system (Illumina, Inc, San Diego, CA, USA).
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3

Whole-Genome Genotyping of High-Quality DNA

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High quality DNA (200ng), quantified by Qubit 2.0 (Invitrogen), was used as the starting material for whole-genome genotyping experiments following the manufacturer’s specifications. Briefly, the genomic DNA was denatured at room temperature (RT) for 10 mins using 0.1N NaOH, neutralized and used for whole genome amplification (WGA) under isothermal conditions, at 37°C for 20 hrs. Post-WGA, the DNA was enzymatically fragmented at 37°C for 1hr. The fragmented DNA was precipitated with isopropanol at 4°C and resuspended in hybridization buffer. The samples were then denatured at 95°C for 20 mins, cooled at RT for 30 mins and 35µl of each sample was loaded onto the Illumina HumanOmni 2.5-8 beadchip for hybridization (20hrs at 48°C) in a hybridization chamber. The unhybridized probes were washed away and the Chips (HumanOmni 2.5-8 v1.0 and v1.1,
Additional file 2) were prepared for staining, single base extension and scanning using Illumina’s HiScan system.
We filtered the SNP locations to retain only those, called without any error, contained within the exome boundaries as per the sequencing baits, and which were callable (covered by at least five sequencing reads). At these locations, we estimated the overlap for individual SNP calls, i.e., chr/pos/ref/alt and for no calls; i.e., chr/pos/ref/ref; between sequencing and array platforms (
Additional file 16).
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4

Illumina Array Data Preprocessing Methods

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All microarrays were scanned with an Illumina HiScan system. For the EPIC array data, we used the most current manifest file, “Infinium MethylationEPIC v1.0 B4 Manifest File,” released by Illumina on May 26, 2017 and consisting of 865,918 probes, whereas for the 450K we used the “HumanMethylation450 v1.2 Manifest File” with 485,577 probes. Both manifest files are available at https://support.illumina.com/downloads.html. In addition to unprocessed (raw) data, we used data preprocessed in three different ways (1) color corrected/background subtracted in Genome Studio (GS), (2) quantile-normalized using “preprocessQuantile” [29 (link)], (3) normal-expontential out-of-band (noob)-normalized with “preprocessNoob” [30 (link)]. Raw data and data that were to be quantile or noob normalized were uploaded directly into R from IDAT files using the ‘minfi’ package function “read.metharray” [8 ]. For the color correction/background subtracted preprocessing, data were background subtracted/color corrected with GenomeStudio, and then uploaded into R with the package ‘methylumi,’ function ‘lumiMethyR’ [5 ].
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5

Genome-Wide Genotyping and Imputation Protocol

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Genomic DNA was extracted using standard methods (Qiagen, CA, USA). Genotyping was performed using the HiScan® system with the whole-genome Infinium® Multi-Ethnic Hispanic AMR/AFR MEGA BeadChip array according to manufacturer instructions (Illumina, San Diego, CA, USA). Standard quality control (QC) procedures were implemented, which included: removal of single nucleotide polymorphisms (SNPs) with excessive missingness (> 5%) and individuals with high missing genotype (> 5%) or high heterozygosity rates (three standard deviations [SD] away from the mean rate). Hardy-Weinberg equilibrium (HWE) was calculated for all genotyped SNPs. Any SNPs that deviated from HWE were flagged but not removed. Gender misspecification was checked using X chromosome zygosity. Individuals who did not match known sample data were excluded. Identity-by-descent (IBD) check was performed to identify sample duplicates, contaminated samples, and cryptic relationships. For each pair of samples with estimated IBD coefficients greater than 0.185, only the sample with the highest call rate was retained. Only SNPs with a minor allele frequency (MAF) greater than 5% were included in our analyses. We then imputed the QCed genotype data using the TOPMed Imputation server (https://imputation.biodatacatalyst.nhlbi.nih.gov/#!), which were performed following standard procedures described elsewhere.18 (link)
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6

DNA Methylation Profiling of Cardiac Tissue

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LV apical myocardial tissue samples were washed in ice-cold saline (0.9% NaCl) and stored in liquid nitrogen until DNA and RNA were extracted. DNA was extracted using a DNA Kit (Qiagen). Purity and concentration were determined using a Bioanalyzer (Agilent Technologies). For DNA methylation profiling, DNA was bisulfite converted using a commercially available kit (Zymo Research). Illumina Infinium Human Methylation 450K Bead Chip and EPIC Bead Chip were used for genome-wide profiling of DNA methylation (58 (link)). The EPIC chip measures over 850,000 methylation sites, with high reproducibility compared with the previous 450k chip (59 (link)). After whole genome DNA amplification, the samples were applied following the Illumina Infinium Human Methylation DNA chip manufacturer protocols (Illumina). Chips were analyzed using the Illumina Hi-Scan system at the McDonnell Genome Institute (MGI) at Washington University.
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7

DNA Methylation Profiling of Human Tissues

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Using the DNeasy Blood and Tissue Kit (Qiagen), DNA was extracted and purified for all samples. For each sample, 750 ng of DNA was bisulfite-converted using the EZ DNA Methylation Kit (Zymo Research Corporation). DNA from five diandric triploids, five digynic triploids, 63 control placental villi, 32 fetal tissues, 10 adult blood, and 19 extraembryonic cell types were run on the Infinium HumanMethylation450 BeadChip array (Illumina). The arrays were processed as per the manufacturers’ guidelines, and data were collected on the HiScan System (Illumina).
Using GenomeStudio software (Illumina), background intensity levels were subtracted, and corrected values were exported into R version 2.14.0 (R Development Core Team 2011 ). Probes that met the following criteria were omitted before analysis, using additional annotation (Price et al. 2013 (link)): X and Y Chromosome, detection P-value > 0.01 in at least one sample, no average B-value in more than one sample, XY cross-hybridizing (Chen et al. 2013 (link)), and a SNP in the target C or G. The B-values for the remaining probes were then converted to M-values and normalized using subset-quantile within array normalization (SWAN) (Maksimovic et al. 2012 (link)).
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8

Genotyping for Dissociation Severity

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DNA was isolated from peripheral blood samples on a Qiagen AutoPure instrument with Qiagen reagents and normalized using PicoGreen assays (Invitrogen, Grand Island, NY, USA). Genotyping was performed on an Illumina OMNI 2.5--8 array and scanned using an Illumina HiScan System (San Diego, CA, USA) according to the manufacturer’s specifications. All SNP locations were from the hg19 human-genome assembly (February 2009). Details on call rates, quality control, and elimination of samples are provided in Logue et al.[23 (link)] SNPs were eliminated from the analysis if their MAF was < 5% or if they failed a test of Hardy Weinberg equilibrium (p ≤ .000001) leaving a total of 1,197,702 SNPs for analysis. We also evaluated the possibility of population substructure within the Caucasian sample by using principal components (PC) analysis of 10,000 randomly selected genetic markers (with MAF > .05) in the program EIGENSTRAT.[28 (link)] We then took the top 10 PCs from that analysis and entered them into a multiple regression predicting dissociation severity and found no evidence for dissociation-associated population substructure (overall model F = 1.26, p = .25).
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9

Rice Genome SNP Genotyping

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Ten-day old seedlings of all lines were collected and their genomic DNA was extracted using plant DNA extraction kits (Qiagen, Hilden, Germany). At least 1 μg genomic DNA was used for each cultivar according to the manufacturer’s instructions (Illumina, San Diego). Then all 99 cultivars were genotyped by Rice50K chip25 (link) on Illumina HiScan system, with all experimental procedure following the standard protocol provided by Illumina. All raw genotyping data were adjusted by golden standard genotypes designed in our chip platform with GenomeStudio software (Version 2.0, http://www.illumina.com/techniques/microarrays/array-data-analysis-experimental-design/genomestudio.html). And finally a total of 51,479 SNP markers were obtained for the subsequent analysis. Among them, 22,334 SNPs are high quality chip data with genotyping missing rates <80% and minor allele frequency >5% among all lines.
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10

Genotyping of Ovine Blood DNA

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DNA was extracted from 200 μL of blood, using the Quick-DNA™ Miniprep kit (Zymo Research, Irvine, CA, USA), according to the manufacturer’s protocol. The DNA obtained was purified using the DNA Clean & Concentrator™ -5 kit (Zymo Research). The DNA concentration was measured with a Nanodrop Lite (Thermo Scientific®, Wilmington, DE, USA), and integrity was visualized on a 1.5% agarose gel. The genotyping of the two experimental groups was performed with a medium-density array Illumina OvineSNP50 Beadchip (54, 241 SNPs) in the Illumina HiScan System according to the manufacturer’s instructions, at GeneSeek (Lincoln, NE, USA).
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