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Novaseq 6000

Manufactured by Macrogen
Sourced in Japan, Cameroon, United States

The NovaSeq 6000 is a high-throughput sequencing system designed for large-scale genomic research. It features advanced optics and chemistry to deliver rapid and accurate DNA sequencing. The system can generate up to 3 terabases of data per run, making it suitable for a wide range of genomic applications.

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22 protocols using novaseq 6000

1

Gill Transcriptome Comparison in Aquatic and Terrestrial Environments

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To examine the differences in gene expression in gills between aquatic and terrestrial environments, we conducted RNA‐seq analysis. RNA was extracted from whole gills of three individuals reared in the control water and in the terrestrial environment using TRI Reagent (Molecular Research Center, Inc.). The extracted total RNAs were sequenced at 100 bp paired‐end on a NovaSeq 6000 from Macrogen Japan Corp, with the TruSeq stranded mRNA Library Prep Kit. The quality control of raw sequence data was performed with fastp (Chen et al., 2018 (link)) with the following options: ‐g, −q 20, −w 16. Next, the read data were mapped to the reference genome of Polypterus senegalus (Bchr_013 (Bi et al., 2021 (link))) with STAR version 2.7.3a (Dobin et al., 2013 (link)). The mapped reads were then counted with featureCounts (Liao et al., 2014 (link)). Differentially expressed genes (DEGs) were estimated by TCC (Sun et al., 2013 (link)) with the iDEGES/edgeRedgeR combination (p < .05). The Over‐Representation Analysis (ORA) was conducted using WebGestalt under statistical tests of false discovery rate (http://www.webgestalt.org) (Liao et al., 2019 (link)).
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2

Sciatic Nerve Injury Transcriptome Analysis

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Total RNA was extracted from uncut and distal segments of the sciatic nerve 2 days after injury. mRNA-seq analysis was performed with two biological duplicates by Macrogen (Seoul). The libraries were prepared using a TruSeq Stranded mRNA Sample Prep kit. All libraries were sequenced by the NovaSeq 6000 for 100 bp paired-end reads by Macrogen. Functional analysis of the differentially expressed genes (DEGs) was conducted by using g:Profiler tool and DAVID version 6.8 [19 (link)]. Enrichment of biological process terms was tested for statistical significance (adjusted P value < 0.05). Highly enriched terms were plotted in semantic space by using REVIGO [20 (link)] to visualize dependency between the Gene Ontology (GO) terms. The gene lists of each GO term are displayed in Table S2.
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3

Transcriptomic Analysis of Sea Urchin Eggs

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RNA-sequencing was done on entire eggs and isolated cortices. Illumina TruSeq stranded mRNA library construction and generation of raw sequence reads using Illumina NovaSeq 6000 platform (2×100 pair bases) were performed by Macrogen Company (Seoul, South Korea). De novo transcriptome assembly was built by Trinity [33 (link)] using Galaxy web-based platform [34 (link)] (https://usegalaxy.org). SRAs and assembled transcriptome were submitted to GenBank (BioProject PRJNA686841). The assembled sequences were blasted against Uniprot Swiss-Prot database and against S. purpuratus genome [35 (link)] with a cut-off E-value of 1e-5. For quantitative gene expression analysis reads were aligned to the assembled transcriptome with Bowtie [36 (link)], and transcript abundance was estimated with RSEM [37 (link)]. We analyzed the gene expression values presented in FPKM. Blast and subsequent analysis were performed using computational resources provided by the Shared Services Center “Data Center of FEB RAS” (Khabarovsk) [38 (link)].
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4

RNA-seq Analysis of MIA PaCa-2 Cells with rhCYGB

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RNA-seq was performed on MIA PaCa-2 cells with or without rhCYGB treatment at a concentration of 4 µM (n = 3 per group). Total RNA was extracted and used for library preparation. RNA libraries were sequenced using the NovaSeq 6000 platform (Macrogen, Seoul, Korea). Further details are provided in the Supplemental Materials.
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5

Transcriptome Profiling of Plant Leaves

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Newly matured leaves from plagiotropic and orthotropic branches from the upper third part (well illuminated) of each plant were collected under photosynthetic steady-state conditions after 2 h of illumination, flash frozen in liquid nitrogen, and stored at −80 °C. Total RNA was extracted from 36 samples (two genotypes × three water treatments × two [CO2] × three individual plants) using the Analytik-Jena InnuSPEED Plant RNA Kit (Analytik Jena Innuscreen GmbH, Jena, Germany) following [50 (link)]. RNA quantity and quality were determined using a BioDrop Cuvette (BioDrop, UK) and an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). RNA integrity number (RIN) for the samples ranged from 8.96 to 9.05. The mRNA libraries were constructed with the Illumina TruSeq Stranded mRNA Sample Preparation kit (Illumina, San Diego, CA, USA) and sequenced on an Illumina NovaSeq6000 at Macrogen facilities (Macrogen, Geumcheongu, Seoul, Republic of Korea).
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6

Amplify and Sequence Bound Polynucleotides

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In order to amplify and sequence the bound polynucleotides, A RAVE based assay was performed. A poly (A) tail was introduced at the 3′end of the polynucleotides using TdT tailing reaction. 20 μl solutions containing dATP, 10 mM Tris–HCl, 50 mM KCl and 1.5 mM MgCl2 buffer, the extracted bound polynucleotide sequences (10 μl) and TdT 1–2 U/μl were prepared and incubated for 0.5–2 h followed by termination of the reaction by heating the solution to 75°C for 10 min. The resultant product was used directly as the template in PCR. 20 μl solutions containing 1× master mix (10 μl), 0.1–0.5 μM (1 μl) of the forward and reverse primers and 1–5 μl of the DNA sequences with poly (A) template were prepared. PCR reactions were performed over 30–40 cycles consisting of a denaturing step at 94°C for 30 s, an annealing step at 45–65°C for 30 s and an extension step of 72°C for 30 s. The resultant dsDNA libraries were sequenced using a NovaSeq 6000 (Macrogen, South Korea). All sample libraries were prepared using an Illumina TruSeq DNA PCR free library construction (Insert 350 bp) prior to sequencing with a pairwise read.
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7

Small and Large-scale Sequencing Protocols

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Small-scale sequencing was performed using the Illumina MiSeq system with the reagent kit version 3 (150 cycles) and the reagent nano kit version 2 (300 cycles) (San Diego, CA, USA), with some modifications for denaturation and neutralization of the library, as described previously (8 (link)). The amount of input library varied depending on the purpose of the experiments. Large-scale sequencing using the HiSeq X Ten and NovaSeq 6000 were performed by Macrogen Japan Corp. (Kyoto, Japan) as commercial services. Sequenced reads were delivered to us after demultiplexing of indexed libraries.
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8

Trueseq Whole RNA Sequencing and Analysis

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The Illumina Trueseq stranded whole RNA library was built with approximately 0.5g total RNA. For sequencing, a NovaSeq6000 with a 100bp paired end read length was employed at Macrogen's NGS facility in South Korea. CLC Genomics Workbench 7.5 was used to examine the sequencing reads (www.clcbio.com).
From the acquired contigs, sequence-specific primers were constructed and verified using RT-PCR. De novo assembly was prepared for further analysis. Adaptors sequences were trimmed, and BLAST (BLASTx) analysis was performed on the NCBI website (http://blast.ncbi.nlm.nih.gov/Blast.cgi). The ORF Finder tool (http://www.ncbi.nlm.nih.gov/gorf/gorf.html) was used to predict the ORFs. Conserved domain database and pfam were used to identify conserved regions whith in the polyprotein. The maximum-likelihood phylogenetic trees were built using the online PhYML (3.0) server and 1000 bootstrap repetitions (Best fit model). The MAFFT web server was used to accomplish sequence alignment and comparison.
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9

Neoantigen Identification in Breast Cancer Cells

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Both genomic DNA and total RNA were extracted from PC-B-142CA and PC-B-148CA cells using an AllPrep DNA/RNA mini kit (Qiagen, Hilden, Germany), whereas germline control DNA was extracted from the patient’s WBCs (Fig. 1a). Genome libraries were prepared using TruSeq DNA Nano kit (Illumina, San Diego, CA), and sequenced on Illumina NovaSeq-6000 sequencer to generate 150 PE reads (Macrogen®, Seoul, South Korea). RNA sequence libraries were prepared using TruSeq Stranded mRNA Library Prep kit (Illumina) and sequenced as 100-bp paired-end reads using NovaSeq 6000 as a service of Macrogen®.

Neoantigen identification in BCA patients. a. A workflow of neoantigen identification using modified pVAC-Seq pipeline. WGS and WTS were performed in the two in-house established BCA cells (PC-B-142CA and PC-B-148CA) and matched the WBC of each patient to identify candidate neoantigen by filtering NSMs by neoantigen filter criteria. b. Number of mutations and candidate neoantigens in PC-B-142CA and PC-B-148CA BCA cells

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10

Whole Exome Sequencing of Tumor and Normal Tissues

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Genomic DNA extracted from both the tumorous and non-tumorous portions of each patient FFPE specimen was subjected to whole exome sequencing (WES). WES was outsourced to Macrogen Japan Corp and the Novaseq 6000 was used for the WES. The bioinformatics procedures (Figure S1A) were performed as described previously (Ito et al., 2021 (link)). Briefly, after the raw reads were trimmed, the paired reads were mapped onto hg38 references with BWA-MEM (Liu et al., 2013 (link)). The variant calling was performed with Mutect2 in the Genome Analysis Toolkit 4.1 (McKenna et al., 2010 (link)) and the normal panel consisted of 11 non-cancerous tissue data. The filtering conditions were as follows: false discovery rate = 0.01; unique alt read count = 20; min allele fraction = 0.1; and minimum depth = 100. The annotations for the called variants were performed with Annovar (Wang et al., 2010 (link)) with a custom-made 4.7 KJPN variant dataset and COSMIC 90 (Tate et al., 2019 (link)). To do so, we converted hg38 to hg19 with liftOver software (Hinrichs et al., 2006 (link)).
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