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58 protocols using real time analysis software

1

RNA Extraction and Sequencing Protocol

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Total RNA was obtained using TriPure Reagent (Roche Applied Science, Indianapolis, IN, USA), following the manufacturer’s instructions. RNA integrity numbers (RIN) were in the range of 7.2–9.8. Image analysis, per-cycle basecalling and quality score assignment were performed with Illumina Real-Time Analysis software (Illumina, San Diego, CA, USA).
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2

Exome Sequencing of Paired Bone Marrow Samples

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WES was performed on paired bone marrow samples obtained at diagnosis and at relapse. Genomic DNA (gDNA) was extracted from 10 million WBC with PureLink Genomic DNA kit (Thermo-Fisher-Scientific) according to manufacturer’s instructions. Then, 1 μg of gDNA was used to generate exome libraries (Galseq). The Illumina Nextera® Rapid Capture Exome Kit (Illumina Inc.) was used to enrich the genomic libraries for the exonic regions. WES was performed with a mean coverage of 80X. Image processing and basecall were performed using the Illumina Real Time Analysis Software. Paired Fastq files were aligned to the human reference genome (GRCh38/hg38) using the BWA-MEM algorithm [13 (link)]. Duplicates were annotated using Samblaster. Quality of the aligned reads, duplicate removal, somatic variants calling, annotation, and copy number analysis were performed using CEQer2 [14 (link)], a graphical tool for copy number alteration (CNA) detection in the context of exome-sequencing experiments. Variants were annotated using ClinVar, dbSNP, ExAC, OncoScore, Polyphen2 HVAR, LRT, MutationTaster, MutationAssessor, FATHMM, PROVEAN, VEST3, CADD, DANN, MetaSVM, MetaLR, Integrated fitCons, GERP +  + , PhyloP7way Vertebrate, PhyloP20way Mammalian, PhastCons7way Vertebrate, and PhastCons20way Mammalian. Splicing variants were analyzed using SpliceFinder [15 (link)].
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3

RNA-seq Data Analysis Pipeline

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Base call (.bcl) files for each cycle of sequencing were generated by Illumina Real Time Analysis software (Illumina, Inc.), and were analyzed primarily and de-multiplexed into a FASTQ (.fastq) file using Illumina's BCL2FASTQ conversion software (ver. 1.8.4, Illumina, Inc.). Raw paired-end RNA-seq reads in FASTQ formats were assessed for base call quality, cycle uniformity, and contamination using FastQC (http://www.bioinformatics.bbsrc.ad.uk/projects/fastqc/). Mapping of the quality control-filtered paired-end reads to mouse genomes and quantification of the expression levels of each gene were performed using R software (ver. 3.1.1 with TCC package) (Robinson et al., 2010; Sun et al., 2013). The quality control-filtered paired-end reads were mapped to public mouse genome data that were published by UCSC (NCBI37/mm9, http://genomes.UCSC.edu/). Differential gene sets were filtered to remove those with fold changes < 1.5 (up- or down-regulated) and with a false discovery rate-corrected P value of > 0.05. Sample size was calculated with the following parameters: power ≥ 0.8, probability level < 0.05, and anticipated effect size = 14.
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4

Transcriptome Sequencing of cDNA Libraries

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The validated cDNA libraries were clustered onto a TruSeq paired-end flow cell and subjected to transcriptome sequencing for 100-bp paired-end reads (2 × 100) using a TruSeq 200 cycle SBS kit (Illumina). After the sequencing platform generated sequencing images, pixel-level raw data collection, image analysis, and base calling were performed using Real Time Analysis (RTA) software (Illumina). The base call files were converted to FASTQ files using the CASAVA v.1.8.0 software (Illumina) for downstream analysis.
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5

Illumina Sequencing Data Processing

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Base call (.bcl) files for each cycle of sequencing were generated by Illumina Real Time Analysis (RTA) software. The base call files and run folders were then exported to servers maintained at the Minnesota Supercomputing Institute. Primary analysis and de-multiplexing were performed using Illumina’s CASAVA software 1.8.2. The end result of the CASAVA workflow was de-multiplexed FASTQ files.
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6

Methylated DNA Immunoprecipitation Sequencing

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Genomic DNA was fragmented by sonication (Covaris, USA) into 150–500-bp fragments. The end of each DNA fragment was repaired and ligated to a 3′-A overhang using the NEXTflex™ Methyl End Repair and Adenylation Kit (Bioo Scientific, USA). Illumina sequencing adapters were ligated to the ends using the NEXTflex™ DNA Adapter or Barcode kit (Bioo Scientific). Double-stranded DNA was denatured, and DNA fragments were immunoprecipitated using 5-methylcytosine antibody beads (Diagenode, USA). The quality of immunoprecipitated fragments was validated by quantitative real-time polymerase chain reaction (qPCR). DNA fragments of 200–300 bp were excised from the gel and purified using MinElute Gel Extraction Kit (Qiagen). The extracted fragments were quantified using the Qubit™ dsDNA High Sensitivity Assay Kit (Invitrogen; USA) on an Agilent 2100 Analyzer (Agilent Technologies; USA). After qPCR analysis, the DNA libraries were sequenced (paired-end, 50-bp read length) using the Illumina HiSeq 2000 platform (Illumina). After the completion of a sequencing run, raw image files were processed with the Illumina Real-Time Analysis (RTA) software for base calling. Sequencing reads were deposited in the NCBI Short Read Archive (SRA) (Supporting information Figure S2a–g).
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7

Transcriptome Analysis of RNA Samples

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RNA quality [RNA Integrity Number (RIN)] was assessed on an Agilent 2100 Bioanalyzer with the RNA 6000 Nano Kit and quantified with a Qubit® 2.0 fluorometer with the Qubit® RNA BR Assay Kit. The TruSeq® RNA Sample Preparation v2 Kit (Illumina, San Diego, CA) was used for isolation of polyadenylated mRNA with oligo-dT beads, second strand cDNA synthesis and NGS library preparation. Paired-end, 101 bp sequencing was performed on a HiSeq 2500 (Illumina) instrument in Rapid Run mode. Base calling was performed by the instrument computer using Illumina Real Time Analysis (RTA) software that is integrated with HiSeq Control Software (HCS) and provides a summary of quality statistics as per Illumina’s acceptance criteria for sequencing. CASAVA 1.8.2 was used for de-multiplexing and conversion of base calls to paired-end FASTQ files. Sequencing reads for the samples described are available from the Gene Expression Omnibus (GEO) under accession number GSE80126.
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8

Transcriptome Analysis of C. elegans

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Basecalling and base call quality were performed using Illumina’s Real-Time Analysis (RTA) software, and CIDRSeqSuite 7.1.0 was used to convert compressed bcl files into compressed fastq files. Using Trimmomatic v. 0.39, Illumina adapters were clipped from raw mRNA-seq reads, followed by quality trimming (LEADING: 5; TRAILING: 5; SLIDINGWINDOW:4:15) [70 (link)]. Reads with a minimum length of 36 bases were retained (MINLEN: 36). Processed reads were aligned to C. elegans reference genome WBcel235 using STAR v. 2.4.2a with default parameters and—twopassMode Basic [71 (link)]. RSEM v. 2.1 was used to quantify gene abundance based on mapped reads [72 (link)]. Outlier samples were identified by assessing the quality of raw and processed reads with FastQC v. 0.11.7 (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/) and by Principal Component Analysis (PCA) on log2-transformed normalized gene expression counts generated using DESeq2 v. 1.30.0 [73 (link)]. Differential gene expression analysis was performed using DESeq2 with a significance threshold of FDR ≤ 0.05 and absolute value of log2-transformed fold changes of at least 2.
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9

Transcriptome Analysis of Mouse Samples

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Libraries were prepared from poly-adenylated mRNA enriched from total RNA samples (200ng-1ug with RIN> 8) using the Illumina Truseq RNA prep kit. Libraries were sequenced in multiplex targeting 30 million single-end 100bp reads per sample on an Illumina HiSeq2000 at the Columbia University Genome Center. The Illumina Real Time Analysis (RTA) software was used for base calling followed by bcl2fastq (v.1.8.4) for adaptor trimming. Tophat (v2.1.0) was used to map reads to the mouse UCSC/mm9 reference genome (<4 mismatches <10 multiple hits). HTSeq (v0.6.1) with default settings was used count reads against the UCSC RefSeq mm9 annotation file. Genes with expression of at least 1 count per million reads in at least one sample were then analyzed for relative abundance and differential expression using R(v3.2)/Bioconductor with package EdgeR (3.10.5). Multigroup gene comparisons were performed using a generalized linear model likelihood ratio test in EdgeR to find differential gene expression. A multidimensional scaling plot was created using expression data for those genes with at least 120 counts per million in at least 4 samples. The top 423 genes different (FDR < 0.05) between OIO and ALO were analyzed using Enrichr, a comprehensive gene set enrichment analysis web server. GO biological process lists were generated and the top ten were presented in table 2.
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10

Metagenomic Shotgun Sequencing of Microbiota

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Metagenomic shotgun sequencing on prepared microbiota samples was performed at the University of Minnesota Genomics Center (UMGC). DNA samples were quantified using a fluorimetric PicoGreen assay gDNA samples were converted to Illumina sequencing libraries using Illumina’s NexteraXT DNA Sample Preparation Kit (Cat. # FC-130-1005). 1 ng of gDNA was simultaneously fragmented and tagged with a unique adaptor sequence. This “tagmentation” step is mediated by a transposase. The tagmented DNA was simultaneously indexed and amplified with 12 PCR cycles. Final library size distribution was validated using capillary electrophoresis and quantified using fluorimetry (PicoGreen). Truseq libraries were hybridized to a NextSeq. Base call (.bcl) files for each cycle of sequencing were generated by Illumina Real Time Analysis (RTA) software. The base call files were demultiplexed and then converted to index specific fastq files using the MiSeq Reporter software on-instrument.
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