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Novaseq system

Manufactured by Illumina
Sourced in United States, China, Japan

The NovaSeq system is a high-throughput DNA sequencing instrument manufactured by Illumina. The core function of the NovaSeq system is to perform large-scale, parallel DNA sequencing, generating high-quality genomic data for a wide range of applications.

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137 protocols using novaseq system

1

Transcriptome Analysis of Gltscr1-Deficient Cardiac Tissues

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RNA of Gltscr1−/− and Gltscr1+/+ cardiac tissues collected from E12.5, E13.5, and E15 embryos were extracted, sequenced, and analyzed by bioacme (Wuhan, China). Each group collected three embryos from the same parent and were used for condition. The cDNA libraries were prepared from high-quality RNA using an Illumina TruSeq RNA sample prep kit following the manufacturer’s instructions (Illumina, San Diego, CA, USA). The individual RNA-seq libraries were pooled based on their respective sample-specific 6-bp adaptors and sequenced at 150-bp/sequence pair-read using an Illumina NovaSeq system. Clean Reads were mapping into the hg19 reference genome by STAR and quantified by RSEM. Differential expression genes were identified by DESeq2 in R. Benjamini–Hochberg false discovery rate method was applied to correct for multiple hypothesis testing. Genes with P < 0.05, fold change > 1.5, or fold change < 0.67 were defined as different expression genes as candidates for further analysis. Gene expression Heatmap was accomplished with R package pheatmap. Gene Ontology enrichment analysis was performed using DAVID. The results were visualized by the R package ggplot2 in R software. All raw and processed sequencing data generated in this study have been submitted to the NCBI Sequence Read Archive (SRA, https://www.ncbi.nlm.nih.gov/sra) under accession number PRJNA820129.
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2

Transcriptome Analysis via RNA-seq

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RNA-seq libraries were performed as previously described (He et al., 2018 (link)). 200 ng of total RNA calculated by Qubit 2.0 (Invitrogen) was prepared for library construction. RNA-seq libraries were generated using the KAPA Stranded mRNA-Seq kit according to the manufacturer’s manual. In Short, the mRNA was enriched with oligo magnetic beads. Then cDNA was synthesized using random hexamer primers and purified with 1.0× Agencourt AMPure XP beads (Beckman). Finally, the cDNA fragments (approximately 300 bp) linked with sequencing primers were isolated by gel electrophoresis and amplified by PCR. The sequencing was performed by Berry Genomics Co Ltd. using the NovaSeq system developed by Illumina. 2 or 3 biological replicates were analyzed for each treatment condition.
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3

High-throughput single-cell genome sequencing

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Metagenomic DNA extracts as well as sorted single cell MDA products were quantified using the Qubit dsDNA HS Assay Kit (ThermoFisher Scientific, OR, United States). Illumina Sequencing libraries were then prepared using the NEBNext® UltraTM DNA Library Prep Kit and NEBNext® UltraTM II FS DNA Library Prep Kit (New England BioLabs, Frankfurt, Germany), respectively, using unique dual index adapters and following the manufacturer’s instruction. Resulting library fragment lengths were assessed using the Agilent 2100 Bioanalyzer with a High Sensitivity DNA Kit (Agilent Technologies, Germany). The libraries were then pooled and sequenced on an Illumina NovaSeq system using a paired-end approach with 150 cycles per read. Sequencing depths of approximately 6.8 million read pairs or 2 Gb were produced per SAG, on average.
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4

Targeted amplification of gRNA from scRNA-seq

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gRNA were amplified from 60 ng of cDNA remaining from scRNA-seq preparation with three separate PCR reactions similar to reactions described previously50 (link). First, cDNA was amplified using PCR broadly targeting the outer part of the U6 promoter. Subsequently, the inner portion of the U6 promoter adjacent to the guide sequence and a TruSeq Illumina i5 adapter. Finally, we added Illumina sequencing i7 adapters. PCRs were monitored using quantitative PCR to avoid overamplification and, after every PCR reaction, the samples were purified using SPRI beads (Beckman Coulter) and libraries were sequenced at 1:10 proportion of the transcriptome library on the Illumina NovaSeq system.
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5

Genomic Analysis of Serum-Resistant Klebsiella

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Six isolates with intermediate or full resistance to serum killing were sequenced using an Illumina NovaSeq system and a HiSeq 2500 system to investigate capsular genes. Reads were assembled and annotated using SPAdes (version 3.13.0) (35 (link)) and Prokka (version 1.13.7) (36 (link)). The K serotype, MLST, O locus classification, antibiotic resistance genes, and virulence genes were analyzed using Kleborate v2.2.0 and Kaptive v2.0.3 (https://github.com/katholt/Kleborate, https://github.com/katholt/Kaptive) (15 (link), 16 (link), 37 (link)). Potential insertion and deletion sites were examined with blastn (version 2.9.0) (18 (link)), BWA-MEM (version 0.7.12) (17 (link)), and Integrative Genomics Viewer (IGV; version 2.11.4) (38 (link)) (see Fig. S4 in the supplemental material) and were further confirmed through PCR and Sanger sequencing. Meanwhile, ISfinder (39 (link)) (https://www-is.biotoul.fr/) and blastn were utilized for the identification of IS types.
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6

Single Nuclei Sequencing Workflow

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Sorted single nuclei were counted using a Neubauer Chamber and subsequently loaded onto a Chromium Next GEM Chip G Single Cell Kit (PN1-000120). Loading and cDNA library preparation was performed according to the manufacturer’s instructions (Chromium Next GEM Single Cell 3′ Kit v3.1). Library quality was assessed by D100 Screen Tape using a 2200 TapeStation system (Agilent Technologies). Libraries were sequenced on an Illumina NovaSeq system, targeting a read depth of 25000 reads/nuclei.
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7

Comprehensive RNA-seq Data Analysis Pipeline

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The RNA-sequencing (RNA-seq) library was sequenced using the NovaSeq system (Illumina, San Diego, CA, United States). The paired-end short reads with a read length of 150 bp were analyzed as follows. Adaptor trimming and quality filtering (QV ≥ 30) were performed using Trim Galore,2 after which the remaining clean reads were aligned to the Nipponbare reference genome sequence, by using HISAT2 (Kim et al., 2019 (link)), and their expression levels were calculated by StringTie (Pertea et al., 2015 (link), 2016 (link)). To determine the differentially expressed genes (DEGs), the obtained expression levels were normalized and log-transformed using DESeq2 (Love et al., 2014 (link)). Principal component analysis (PCA) was implemented using the “prcomp” function. A biplot graph was visualized with “ggfortify” package in R (Tang et al., 2016 (link)). A heatmap was generated by “clustermap” in the seaborn statistical data visualization library in Python (Waskom, 2021 (link)). Gene ontology (GO) enrichment analysis was carried out using ShinyGO (Ge et al., 2020 (link)). All RNA-seq reads were deposited under the accession number DDBJ: DRA014328.
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8

Isolation and Sequencing of Murine Myeloid Cells

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Myeloid cells from mice with EAE were obtained as described in the Bulk RNAseq and pathway analysis section. F4/80+CD11b+CD45+ cells were sorted and retrieved in PBS, and the scRNAseq libraries were constructed using Chromium Single-Cell 3′ Reagent Kit version 3 according to the manufacturer’s workflow (10x Genomics). Briefly, single suspensions of FACS-sorted cells were encapsulated into emulsion droplets at a concentration of 500 cells/µl using the Chromium Controller (10x Genomics) for target output of ∼5,000 cells/sample. After reverse transcription and droplet dissociation, cDNA was purified with Dynabeads and amplified by PCR (13 cycles). For library construction, resulting cDNAs were fragmented, size selected (450 bp) with solid-phase reversible immobilization beads, and PCR amplified (14 cycles). The sequencing libraries were subjected to final cleanup using solid-phase reversible immobilization beads and evaluated on an Agilent Bioanalyzer. The generated scRNAseq libraries were sequenced by the Weill Cornell Genomics Core on the Illumina NovaSeq system using a 28-8-98 paired-end cycle.
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9

High-Depth Exome Sequencing Protocol

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All testing was performed in our College of American Pathologists (CAP)-accredited genomics facility. Following DNA fragmentation by ultrasonication (Covaris, USA), the coding regions of the genome, also known as the exome, were captured using the Agilent Clinical Research Exome V2 (CREv2) capture probes (Agilent, USA). Libraries were prepared using the SureSelectXT protocol (Agilent, USA) and then sequenced (2 × 150 bp) using the NovaSeq system (Illumina, USA) to a minimum average depth of 100×9.
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10

Genomic Analysis of Antibiotic-Resistant Pseudomonas aeruginosa

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The CAZ-NS isolates were sent for WGS performed with an Illumina NovaSeq system. The raw reads were assembled using SPAdes (https://github.com/ablab/spades) after trimming. The presence of resistance genes was explored using the Comprehensive Antibiotic Resistance Database (CARD) webtool (https://card.mcmaster.ca/home). Multilocus sequence typing (MLST) was ascertained according to the guideline on P. aeruginosa on the MLST website (https://pubmlst.org/organisms/pseudomonas-aeruginosa). A core genome phylogenetic tree was generated using kSNP and visualized using iTOL (26 (link), 27 (link)). Sequence analysis of porin oprD, ampC, and its regulatory factors (ampR, ampD, and dacB) was performed after extraction from a fasta file.
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