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Novaseq 6000 mgiseq t7 instrument

Manufactured by Illumina

The Novaseq 6000/MGISEQ-T7 instrument is a high-throughput sequencing platform designed for genome analysis. It is capable of generating large volumes of sequencing data. The instrument utilizes advanced sequencing chemistry and optics to deliver accurate and reliable results.

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4 protocols using novaseq 6000 mgiseq t7 instrument

1

RNA-seq Analysis of GIST-T1 Cells

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The RNA sequencing service was supplied by Applied Protein Technology (Shanghai, China). In brief, GIST-T1 cells were treated with DMSO or THZ1 (100 nmol/L) for 6 h. Then, RNA was extracted in triplicate by using TRIzol Reagent (Yeasen). Paired-end libraries were prepared using an ABclonal mRNA-seq Lib Prep Kit (ABclonal, China) following the manufacturer’s instructions. Sequencing was performed with an Illumina NovaSeq 6000/MGISEQ-T7 instrument. The ClusterProfiler R software package was used for Gene Ontology (GO) analysis [30 (link)]. When p < 0.05, the GO function was considered to be significantly enriched.
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2

Transcriptomic Analysis of Metabolic Dysregulation in Diabetic Mice

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Total RNA was extracted from the liver tissues of mice in WT, db/db, and db/db + ICS II (40 mg·kg−1) groups using TRIzol buffer on the basis of experimental protocol. RNA samples were detected based on the A260/A280 absorbance ratio with a Nanodrop ND-2000 system (Thermo Scientific, Waltham, MA, USA), and the RIN of RNA was determined by an Agilent Bioanalyzer 4150 system (Agilent Technologies, Santa Clara, CA, USA). Only qualified samples will be used for library construction. Sequencing was performed with an Illumina Novaseq 6000 /MGISEQ-T7 instrument. The data generated from Illumina/BGI platform were used for bioinformatics analysis. FeatureCounts (http://subread.sourceforge.net/, accessed on 7 May 2021) was used to count the reads numbers mapped to each gene. Then, the FPKM of each gene was calculated based on the length of the gene and reads count mapped to this gene. Gene expression with a fold change (FC) greater than 1.5 and P-value less than 0.05 were identified as differentially expressed genes (DEGs) in this study. The enrichment of pathways and functional processing were formed based on Kyoto Encyclopedia of Genes and Genomes (KEGG) and annotations of Gene Ontology (GO) (http://www.genome.jp/kegg/pathway.html, accessed on 7 May 2021).
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3

mRNA-seq Library Preparation and Sequencing

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Paired-end libraries were prepared using ABclonal mRNA-seq Lib Prep Kit (ABclonal) following the manufacturer’s instructions. The mRNA was purified from 1 mg total RNA using oligo (dT) magnetic beads, followed by fragmentation using divalent cations at elevated temperatures in ABclonal First Strand Synthesis Reaction Buffer. Subsequently, first-strand cDNA was synthesised with random hexamer primers and reverse transcriptase using mRNA fragments as templates, followed by second-strand cDNA synthesis using DNA polymerase I, RNase H, and dNTPs. The synthesised double-stranded cDNA fragments were then adapter-ligated to prepare the paired-end library. Adaptor-ligated cDNA was used for polymerase chain reaction (PCR) amplification. PCR products were purified (AMPure XP system) and library quality was assessed using an Agilent Bioanalyzer 4150 system. Sequencing was performed using an Illumina Novaseq 6000/MGISEQ-T7 instrument.
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4

Transcriptome Analysis of Dipsacus asperoides

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The tissues (root, leaf, flower, stem, and fibrous root) of D. asperoides were used for illumina library preparation and sequencing. In brief, the total RNA was extracted from each tissue using TRIzol® Reagent (Magen). Each total RNA sample was then used for NGS analysis, while equivalent amounts of RNA from roots, leaves, flowers, stems, and fibrous roots were mixed for SMRT analysis.
The first-strand cDNAs were synthesized with random hexamer primers and Reverse Transcriptase (RNase H) using mRNA fragments as templates, followed by second-strand cDNA synthesis using DNA polymerase I, RNAseH, buffer, and dNTPs. Adaptor-ligated cDNA was used for PCR amplification. PCR products were purified (AMPure XP system) and library quality was assessed on an Agilent Bioanalyzer 4150 system. Finally, sequencing was performed with an Illumina Novaseq 6000/MGISEQ-T7 instrument. Raw data obtained from the transcriptome sequencing by removing the adapter sequence and filtering out low-quality reads to gain high-quality clean reads was used for subsequent analysis. Clean data were used to do de novo assembly with Trinity. The assembled transcriptome sequences were compared with five databases (NR, SwissProt, Pfam, GO and KEGG databases) to obtain the annotation information in each database.
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