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11 protocols using hiscan platform

1

EPIC Array Genome-Wide Methylation Profiling

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Genome wide methylation profiles were generated on the EPIC infinium arrays (Illumina, San Diego, USA) as described previously (38 (link)). The EPIC array interrogates 865,859 methylation sites covering 95% of CpG islands, 98% of RefSeq genes together with high coverage of FANTOM5 enhancers and ENCODE open chromatin and transcription factor binding sites.
Samples were bisulfite converted using the EZ-DNA methylation Gold Kit (Zymo) and hybridized to the arrays following the manufacturer’s instructions. Arrays were scanned on the HiScan platform (Illumina) and raw data was processed in R with the RnBeads library package [v2.0, (39 (link))] using “Dasen” normalization (40 (link)) and greedycut filter (0.05 threshold). Then for each CpG site a beta-value was calculated representing the fraction of methylated cytosines at that particular site (0 = unmethylated, 1 = fully methylated). Beta values were exported from RnBeads for downstream analysis which was performed in R using in-house scripts involving the following library packages: ggplot2 (41 (link)), ggfortify (42 (link)), reshape2 (43 (link)), GenomicRanges (44 (link)).
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2

Genome-wide Analysis of Genetic Variants

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Genome-wide data were collected on a sub-sample of 10,000 participants using the Illumina HumanOmniExpressExome-8 v1.0 DNA Analysis BeadChip and Infinium chemistry (Gunderson 2009 (link)). Blood samples (or saliva from postal and a few clinical participants) from GS:SFHS participants were collected, processed and stored using standard operating procedures and managed through a laboratory information management system at the Wellcome Trust Clinical Research Facility Genetics Core, Edinburgh (Kerr et al. 2013 (link)). The yield of DNA was measured using picogreen and normalised to 50 ng/μl before genotyping. The arrays were imaged on an Illumina HiScan platform and genotypes were called automatically using GenomeStudio Analysis software v2011.1. After quality control, there were a total of 594,824 SNPs available for analysis on 9,863 individuals, which included family trios and quads in addition to unrelated participants. A genetic threshold of 0.025 (between second and third cousins) was used to remove potential shared environment effects (Yang et al. 2010 (link), 2011 (link)). This left an unrelated sample size of 6,815. SNPs with a MAF below 1 % were excluded prior to the analysis.
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3

5hmC ChIP-Seq Library Preparation

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Five ng of 5hmC-enriched-genomic DNA from 3 independent 5hmC captures or one non-enriched input genomic DNA was end-repaired, adenylated, and ligated to Illumina Genomic DNA Adapters (Genomic DNA adapter oligo mix) according to standard Illumina protocols for ChIP-Seq library construction, maintaining the proper molar ratios of adapter to insert. Adapter-ligated fragments of ~200–350 bp were gel-purified by 2% agarose gel electrophoresis and PCR-amplified for 18 PCR cycles. Libraries were checked for quality and quantified using an Agilent 2100 Bioanalyzer DNA 1000 Chip.
Libraries were sequenced using the Illumina HiScan platform. Cluster generation was performed with Illumina TruSeq cluster kit v2-cBot-HS. Single-read 51-bp sequencing was completed with Illumina TruSeq SBS kit v3-HS. A dedicated PhiX control lane, as well as 1% PhiX spike in all other lanes, was used for automated matrix and phasing calculations. Image analysis and base calling were performed with the standard Illumina pipeline.
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4

Genome-Wide Genotyping by Hybridization

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Genomic DNA was extracted from blood samples using standard phenol-chloroform procedures and was initially quantified using spectrophotometry. Prior to hybridization to the chip, all samples were re-quantified using pico-green fluorimetry and DNA quality was assessed using standard gel electrophoresis techniques; this ensured that only samples of high quality DNA were used. Automated procedures were used to hybridize the cases and controls to the HumanCoreExome-12v1_A Beadchip (Illumina Inc., San Diego CA, USA) and scanned on the Illumina HiScan platform, using standard protocols. This particular chip comprises of 547644 markers, including all the tag markers (264,909 markers) on the HumanCore beadchip, over 240,000 markers of the HumanExome chip as well as several rare variants.
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5

Illumina Infinium DNA Methylation Analysis

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DNA methylation analysis was performed at the Genetics Core of the Wellcome Trust Clinical Research Facility (Edinburgh, UK). Bisulphite conversion of 500 ng input DNA was carried out using the EZ DNA Methylation Kit (Zymo Research, Freiburg, Germany). Four microlitres of bisulphite-converted DNA was processed using the Infinium HD Assay for Methylation. This was performed using the Illumina Methylation 450 k beadchip and Infinium chemistry (Illumina, Inc., San Diego, CA, USA). Each sample was interrogated on the arrays against 485 000 methylation sites. The arrays were imaged on the Illumina HiScan platform and genotypes were called automatically using GenomeStudio Analysis software version 2011.1.
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6

Illumina DNA Methylation Microarray Protocol

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DNAm analysis was performed at the Genetics Core of the Edinburgh Clinical Research Facility (Edinburgh, UK). Bisulphite conversion of 500 ng input DNA was carried out using the EZ DNAm Kit (Zymo Research, Freiburg, Germany). Four microlitres of bisulphite-converted DNA was processed using the Infinium HD Assay for Methylation (Illumina Methylation 450k beadchip and Infinium chemistry (Illumina, San Diego, CA, USA)). Each sample was interrogated on the arrays against 485 000 methylation sites. The arrays were imaged on the Illumina HiScan platform and genotypes were called automatically using GenomeStudio Analysis software version 2011.1 (Illumina). The data discussed in this publication have been deposited in NCBI's Gene Expression Omnibus and are accessible through GEO Series accession number GSE72120 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72120).
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7

Mouse Bodymap RNA-Seq Library Construction

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We used a poly A selection protocol coupled with the Illumina TruSeq RNA-Seq library protocol to construct the mouse Bodymap RNA-Seq libraries. To monitor the quality of the transcriptomic profile data in the RNA-seq experiments, external RNA Control Consortium (ERCC) spike-in controls45 (link) were added in each sample in an amount equivalent to about 1% of the mRNA content in the total RNA sample being sequenced before library construction. One single RNA-seq library was constructed for each RNA sample. Each library was sequenced using an Illumina HiScan platform (101 bp pair-end read). Eighteen different libraries (biological samples, randomized) were pooled together in equal amount and loaded onto two lanes of a flow cell (Supplementary Table S1), which would make two technical replicates from each biological sample. Reads from the two technical replicates of the same sample were combined together before we conducted the analyses.
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8

Bowhead Whale Transcriptome Sequencing

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Tissue biopsies were obtained from two male bowhead whales harvested by Inupiat hunters at Barrow, Alaska during the Fall hunt of 2010; heart, cerebellum, liver, and testes were biopsied from male bowhead number 10B16, and retina from male bowhead 10B20. Samples were immediately placed in liquid nitrogen and transported in a dry shipper to Purdue University. RNA was extracted using TRIZOL reagent (Invitrogen) following the manufacturer’s protocol. RNA was purified using an Invitrogen PureLink Micro-to-Midi columns from the Total RNA Purification System using the standard protocol. RNA quantity and quality was estimated with a spectrophotometer (Nanodrop) and by gel electrophoresis using an Agilent model 2100 Bioanalyzer. cDNA libraries were constructed by random priming of chemically sheared poly A captured RNA. Randomly primed DNA products were blunt ended. Products from 450–650 bp were then isolated using a PippenPrep. After the addition of an adenine to the fragments, a Y primer amplification was used to produce properly tailed products. Paired-end sequences of 100 bp per end were generated using the Illumina HiScan platform. Sequences with primer concatamers, weak signal, and/or poly A/T tails were culled. The Trinity software package for de novo assembly (Grabherr et al., 2011 (link)) was used for transcript reconstruction (Table S1).
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9

Transcriptome Analysis of Drosophila Wing Discs

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Total RNA (2–4ug) extracted from L3 wing discs per genotype was subjected to high-throughput sequencing (HTS) as described previously[6 (link)]. Briefly, wandering stage L3 discs of each genotype (en>GFP and en>GFP,tai) were dissected in 1x PBS, and cleaned of other tissue. Discs transferred using tweezers to hold attached trachea into fresh 1xPBS and then quickly deposited in a tube of Trizol() at 4°C. Multiple discs were collected in two-hour dissection sessions and frozen in Trizol at −80°C until ~80 total discs had been collected for each genotype. Total RNA was extracted according to manufacturer’s instructions, and then utilized for library construction with the Illumina TruSeq RNA Sample Preparation Kit v2 following the manufacturer’s instructions. Libraries were sequenced by the Yerkes Genomics Core with an Illumina HiScan platform. Cluster generation was performed with Illumina TruSeq cluster kit v2-cBot-HS. Single-read 50 bp sequencing was completed with Illumina TruSeq SBS kit v3-HS. Reads were aligned using Tophat2 v2.0.12, and RPKM expression values from different conditions were extracted and compared by cuffdiff v2.2.1 using Refseq gene models. Resulting data from a single HTS replicate is summarized in Excel file Data S1. Overlap of Data S1 with the predicted secretome was performed using Galaxy opensource software.
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10

Rare Deleterious Mutations in ALS Genes

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Genomic DNA was enriched for selected RNA-binding proteins and known ALS genes using a custom designed Agilent SureSelect in solution kit. Sequencing was performed using an Illumina HiScan platform according to manufacturers instructions.
Rare deleterious mutations were defined by frequency within the Exome Aggregation Consortium data set of <1/10,000 control alleles (Lek et al., 2016 (link)), and a Phred-scaled Combined Annotation Dependent Depletion (CADD) score >10 (Kircher et al., 2014 (link)). Comparison of various pathogenicity prediction tools recently supported the sensitivity and specificity of CADD (Salgado et al., 2016 (link)). Given that we were focused on exonic changes with an effect on protein function, synonymous changes were excluded. We excluded any changes with a read depth <10 and validated by Sanger sequencing any changes with read depth 10–15 or a novel allele frequency less than one third the reference allele frequency (Supplementary Figure 1).
ExAC defines constrained genes based on an observed frequency of loss of function mutations which is much less than predicted by sequence specific mutation probabilities (Lek et al., 2016 (link)). A threshold for “constrained” is set as probability of a gene being loss of function intolerant (PLi) > 0.95.
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