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Hiseq 2000 flow cell

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The HiSeq 2000 flow cell is a key component of the HiSeq 2000 sequencing system. It is designed to hold and process samples during DNA sequencing operations. The flow cell provides a surface for the attachment and amplification of DNA fragments, enabling the generation of sequencing data.

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27 protocols using hiseq 2000 flow cell

1

Transcriptome Analysis of Bacterial Samples

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Total RNAs were depleted of rRNA using Ribo-ZeroTM rRNA removal kit for Gram-negative bacteria (Epicentre Biotechnologies, Madison, WI, USA). The removal of 23S, 16S and 5S rRNAs were confirmed using a Bioanalyzer 2100 (Agilent). For all samples, 2 μg of rRNA-depleted RNA was then used to prepare cDNA libraries with the TruSeq™ RNA sample preparation kit (Illumina, San Diego, CA, USA) following the manufacturer's instructions. Each library was individually indexed with a unique identification adapter sequence before 15 cycles of PCR enrichment. The libraries were validated using the MultiNA analyzer (Shimadzu Corporation) and were normalised to approximately 10 nM. The indexed libraries were pooled and loaded onto a single lane of an Illumina HiSeq 2000 flow cell at a final concentration of 7 pM.
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2

Illumina HiSeq 2000 Sequencing Protocol

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Next generation sequencing (NGS) was done using Illumina Hiseq 2000 flow cell, 2 × 76 base pair-end runs. PhiX was used as control.
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3

High-throughput RNA-seq library preparation

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Approximately 500 ng of RNA from each sample was used to prepare individually barcoded strand-specific RNA-seq libraries. rRNA and mitochondrial RNA was removed using Ribo-Zero Gold Removal Magnetic Kit for human/mouse/rat (Epicentre, now Illumina) following the manufacturer’s instructions. mRNA was purified using Agencourt RNAClean XP kit. Libraries were constructed using ScriptSeq™ Complete Kit (Epicentre, now Illumina) as per manufacturer’s instructions. Quality and quantity of the libraries were determined using a Bioanalyzer (Agilent) and Qubit® (Invitrogen), respectively. Libraries were then quantified by qPCR in an Applied Biosystems® 7500 with the Kapa Biosystems kit for library quantitation (Kapa Biosystems). Next-generation sequencing was performed using an Illumina HiSeq 2000 flow cell with one 150-bp end run. The NCBI Gene Expression Omnibus (GEO) accession number for the RNA-seq data reported in this paper is GSE88801.
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4

Illumina RNA-Seq Library Preparation

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Total RNA pools were submitted to Seoul National University Genome Analysis Center DNA Core for Illumina NGS RNA sequencing (http://nicem.snu.ac.kr/main/). Libraries from each sample group were constructed according to the standard Illumina RNA-seq protocol (Part# 1004898 Rev. Sept 08; http://www.illumina.com) from the pooled PCR products (Shelby and Popham 2012 (link)). Briefly, polyadenylated RNA was isolated by oligo-dT hybridization and enriched poly(A) RNA of each sample was fragmented into 200–700 nt pieces with RNA Fragmentations Reagents. The fragmented RNA were converted into cDNA using random hexamer first-strand synthesis followed by second-strand cDNA synthesis (NEB, Ipswich, MA). The resulting sequencing libraries was paired-end sequenced using PE90 strategy on illumina HiSeq2000 flow cell.
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5

Differential miRNA Expression in T Cell Clones

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T cell clones with the biggest difference between low and high PDs were selected for small RNA-sequencing. Samples were barcoded and sequenced with Illumina HiSEQ 2000 flowcell (Illumina). The sequence reads were analyzed using the CLC BIO Genomic Work Bench Suite 4.5 (CLC BIO, Arhus, Denmark). Reads were mapped to the mature miRNAs using miRDeep2 (27 (link)). The number of mapped reads of each sample was normalized to 1 × 106. Normalized data were imported to GeneSpring (v.11.5.1) for analysis. A total of 252 miRNAs were present in at least 3 out of 12 samples with a read count >10. Mann–Whitney U test was performed to identify significantly differentially expressed miRNAs. Genesis (Release 1.7.6) was used to generate heatmaps. Raw and processed data are available via the Gene Expresison Omninbus, accession #GSE106619.
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6

DNA Fragmentation and Illumina Sequencing

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Template DNA was fragmented using a bioruptor (Diagenode, Liège, Belgium), and products of 200–500 bp were recovered using the MinElute PCR Purification kit (Qiagen, Valencia, CA). This was followed by end repair, phosphorylation, dA-tailing and adaptor ligation using the respective NEBNext-modules (New England Biolabs, Ipswich, MA) to prepare samples for Illumina sequencing. Libraries were then tagged using short indexing amplification primers as previously described [24] (link) and sequenced as multiplexed single-read libraries for 100 cycles (including a 6 cycle index read) on a single lane of an Illumina HiSeq2000 flowcell, according to the manufacturer's protocol.
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7

Shotgun Sequencing of Termite and Anaerobic Digester Metagenomes

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DNA samples described in previous 16S rRNA community profiling studies were used in the present study for shotgun sequencing. These comprised four termite samples; MC05, MC06, MC07, and IN01 (Abdul Rahman et al., 2015 (link)) and six anaerobic digester samples taken from 3 reactors (AD1-3) at two time points (day 96 and 362; Vanwonterghem et al., 2014 (link)). A publicly available sheep rumen metagenome (BioProject acc. PRJNA214227) was also included in the study together with two reference genomes; F. succinogenes S85 (BioProject acc. PRJNA41169) and C. alkaliphilus ACht1 (BioProject acc. PRJNA195589). Shotgun libraries were prepared using the Nextera XT Sample Preparation Kit (or TruSeq DNA Sample Preparation Kits v2 for AD1-3 day 96) (Illumina, San Diego, CA, USA) and library DNA concentrations were measured using the QuantIT kit (Molecular probes, Carsbad, CA, USA) and equimolar-pooled for sequencing. Between a quarter and a third of an Illumina HiSeq 2000 flowcell of paired-end sequences (2 × 100 bp with an average fragment size of 320) were obtained for each library.
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8

BDNF-Induced miRNA Profiling in Cortical Neurons

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Six small RNA libraries, representing 3 biological replicates from control‐ or BDNF‐treated cortical neurons, were prepared using NEBNext® Multiplex Small RNA Library Prep Set for Illumina® (Set 1) kit (New England BioLabs) as per manufacturer's instructions. Multiplexed small RNA libraries were sequenced for 50 cycles in a single lane of one Illumina HiSeq2000 flow cell (EMBL Heidelberg). Raw sequencing reads were trimmed from 3′ adapter (AGATCGGAAGAGCACACGTCT) and filtered according to quality using “percent = 90 and cutoff = 30” parameters of Fastx‐Toolkit for fastq data on Galaxy71 (https://usegalaxy.org/). Reads were excluded if they only contained the adapter sequence, did not contain the adapter sequence prior to trimming, or were shorter than 15 nucleotides. The remaining reads were mapped to the rat mature miRNAs (miRBase v21) using default parameters (one mismatch, 3 nt in the 3′ or 5′‐trimming variants, 3 nt in the 3′‐addition variants) of Miraligner software 72. For mature miRNA analysis, only those that are represented by at least 10 reads per million (RPM) in one of the conditions were considered. Differential expression analysis of miRNAs was performed using edgeR73, 74. Only isomiRs with at least 1 RPM in at least one of the experimental conditions were included for analysis.
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9

Transcriptomic Analysis of Human Samples

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Indexed samples were pooled, divided, and loaded onto eight lanes of an Illumina HiSeq2000 flow cell yielding 50-bp single-end reads. On average 60 million reads were collected for each sample. The resulting sequences were filtered and trimmed to remove low-quality bases (Phred score < 15) from the 3′ ends of the reads using a custom Perl script. The remaining sequences were mapped to the human genome (hg19) using GSNAP (version 2012-07-20)25 (link). After alignment, Cufflinks (version 2.2.1)26 (link) was used to assemble transcripts and estimate the gene expression values expressed as fragments per kilobase per million (FPKM). In the programming language R, the FPKM values from all 14 samples were used for the principal components analysis.
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10

Sequencing of Cardiomyocyte and Non-Cardiomyocyte Transcriptomes

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To validate our in vitro sequencing in tissue, cardiomyocytes and non-cardiomyocytes were isolated from 8-week-old male wild-type C57BL/6 mice as described previously by Trembinski et al. [29 (link)]. Briefly, cardiomyocytes were separated from other cells, such as fibroblasts and ECs, via density centrifugation. RNA isolation was done using the RNeasy Mini Kit and the RNase-Free DNase Set (Qiagen). RNA sequencing was performed as described previously [30 (link)]. Briefly, poly-A RNA was selected using poly-T oligo attached beads. Sequencing libraries were prepared using the TruSeq RNA sample preparation kit (Illumina) and sequencing was done using the HiSeq 2000 flowcell (Illumina). Reads were mapped using TopHat (2 mismatches) and gene expression was estimated using Cufflinks version 2.1 with default parameters.
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