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Novaseq platform

Manufactured by Novogene
Sourced in China

The NovaSeq platform is a high-throughput DNA sequencing system designed for large-scale genomic research. It utilizes advanced sequencing-by-synthesis technology to generate high-quality sequence data efficiently. The core function of the NovaSeq platform is to enable rapid and accurate DNA sequencing for a variety of applications, including whole-genome, exome, and transcriptome analysis.

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19 protocols using novaseq platform

1

Quantifying CRISPR Editing Efficiency

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Deep-seq was used to assess the editing activities of the DNA-targeting CRISPR editors. For HEK293T and MCF7, cells were transfected by PEI with 600 ng of Cas nuclease, and 600 ng pool sgRNAs (21 guides) per well in a 12-well plate. For the Jurkat and K562, cells were transfected by Amaxa Cell Line Nucleofector Kit V (VCA-1003, LONZA, Switzerland) following the manufacturer’s instructions (2D) with 1200 ng of Cas nuclease, and 1000 pool sgRNAs (21 guides). Two days post-transfection genomic DNA was extracted for deep-seq libraries preparation. Briefly, the primers with forward and reverse indexes were used to amplify the genomic regions in the first-round PCR. Then, equal amounts of the first PCR products were mixed and subjected to a second round of PCR with the P5- and P7-containing primers to generate the sequencing libraries. Paired-end sequencing was performed using the NovaSeq platform (Novogene, Beijing, China). Indel frequency was calculated as the ratio of (read counts with indel sequence)/(total sequencing read counts). The deep-seq primers were listed in Additional file 2: Table S3.
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2

Whole Genome Sequencing and Annotation

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Subsequently, genomic DNA (gDNA) was extracted from each strain using the DNA isolation mini kit-box2 (DC103-01; Vazyme, Nanjing, China). The concentration and purity of the gDNA samples were evaluated using Nanodrop2000 (Thermo Fisher Scientific, Waltham, MA, USA). The gDNA samples were then submitted for whole genome sequencing on the Illumina Novaseq platform in the PE150 mode (Novogene, Tianjin, China), ensuring that all sequencing depths exceeded 100 folds. The raw data obtained from the WGS were filtered to remove low-quality data, including reads containing low-quality bases (>40%), reads containing >10% N, and reads with an overlap between adapters exceeding 15 bp. This filtering process was performed using readfq 10 (https://github.com/cjfields/readfq). The remaining clean data were de novo assembled by SPAdes 3.15.5,16 (link) and the coding sequences (CDSs) were predicted using Prokka 1.14.5.17 (link)
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3

Genomic Analysis of Ahchi1 Gene in Agaricus heimuer

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MCScan software was used to analyze the regions flanking the ahchi1 gene in eight A. heimuer genomes based on protein coding sequences [37 (link)]. A library with 350 bp inserts was constructed, and the whole-genome resequencing of 71 strains of A. heimuer was performed on the Illumina Novaseq platform (San Diego, CA, USA) at the Novogene Bioinformatics Technology Co., Ltd. (Tianjin, China). Principal component analysis (PCA) of the marker diversity in fragments near the ahchi1 gene of the re-sequenced strains was performed using the Smartpcapl program to reveal the kinship between these strains [38 (link)]. The identification of members of the GH18 gene family in eight genomes and the construction of the phylogenetic tree were conducted according to the methods described in Yang et al. (2021) [39 (link)]. MEME Suite 5.4.1 (http://meme-suite.org/tools/meme, accessed on 8 February 2022) was used to predict motifs. In order to verify the ahchi1 gene, we designed specific primers (ahchi1F: 5′–ATGCTGCCGTTACAGTGCGG–3′ and ahchi1R: 5′–TCACATGTAATCATCTTGGT–3′) and used them to amplify the gene in all 71 strains of A. heimuer.
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4

Transcriptomics of M. xanthus DK1622 mutant

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M. xanthus DK1622 and ∆msuB mutants were grown in a CTT medium for 24 h at 30 °C. Total RNA was isolated and then the mRNA was purified using probes to remove rRNA for mRNA-seq library construction. The libraries were sequenced on an Illumina Novaseq platform to generate paired-end reads of 150 bp in length (Novogene Bioinformatics Technology Co., Ltd.). Clean reads were trimmed to remove adapter sequences and mapped to the DK1622 genome using Bowtie2-2.2.3. Differentially expressed genes (DEGs) were calculated with the cut-off of a fold change of >0 or a fold change of <0, and Padj < 0.05 using DESeq2. For the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, DEGs with a fold change of >0 or a fold change of <0 (Padj < 0.01) were included and the statistical enrichment of differentially expressed genes in the KEGG pathways were analyzed using KOBAS software.
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5

Amplicon Sequencing Library Preparation

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Library construction, quality control, and sequencing were performed at Novogene (Beijing, China). PCR amplification of ITS2 regions was performed using ITS3/ITS4 primers,56 using Novogene’s pipeline. The PCR products were subjected to 2% agarose gel electrophoresis. PCR products from each sample were pooled, end-repaired, A-tailed, and ligated using Illumina adapters. The library was quantified using Qubit and real-time PCR, and size distribution was estimated using a bioanalyzer. Quantified libraries were pooled and sequenced on an Illumina NovaSeq platform (Novogene, Beijing, China) according to the effective library concentration and data amount required. Paired-end reads were assigned to the samples based on their unique barcodes and truncated by cutting off the barcode and primer sequences. Paired-end reads were merged using FLASH57 (link) based on the overlap of the reads.
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6

Transcriptome Profiling of RPE1 Cells

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RNA was purified from RPE1 cells and then reverse-transcribed into cDNA. The RNA-seq libraries were prepared with the NEBNext® Ultra™ Directional RNA Library Prep Kit for Illumina according to the manufacturer’s instructions. Index-coded samples were clustered on the cBot Cluster Generation System using the TruSeq PE Cluster Kit v3-cBot-HS (Illumia) according to the manufacturer’s instructions. After cluster generation, library preparations were sequenced on the Illumina Novaseq platform and 150 bp paired-end reads were generated by Novogene (Novogene, Tianjin, China). RNA-seq data were aligned to the Ensembl human reference transcriptome (GRCh38, version 94) by HiSat2 and summarized by StringTie as fragments per kilobase transcript per million mapped reads (FPKM). Heatmaps to visualize the data were generated using Excel.
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7

Transcriptome Analysis Using RNA-Seq

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RNA was extracted using TRIzol (Life Technologies, 87804). Libraries were prepared using the mRNA-Seq Sample Preparation Kit (Illumina) and sequenced on an Illumina NovaSeq platform (Novogene). Raw reads were filtered using trim_galore and then mapped to hg38 genome assembly using STAR v2.7.1a. Differential expression analysis was performed using the Bioconductor package DESeq2. For RT–qPCR, RNA was converted to cDNA using the PrimeScript RT Reagent Kit (TaKaRa, RR037A) and subjected to qPCR. All the primers are listed in Supplementary Table S1.
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8

Transcriptional Profiling of F. graminearum Mutant

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For RNA-seq sequencing, the wild-type PH-1 and BP1ΔIDR2-C strain was incubated in YEPD liquid medium with agitation (180 rpm) for 24 h at 25 °C. The fresh mycelial samples were harvested from liquid medium and ground in liquid nitrogen. Total RNA was isolated from three independent biological replicates from the wild-type PH-1 and BP1ΔIDR2-C. DNA-free total RNA was generated by the NEBNext® Ultra™ RNA Library Prep Kit for Illumina® (NEB, USA) following the manufacturer’s recommendations. The library was sequenced on an Illumina Novaseq platform with paired end reads (150 bp) by Novogene Corporation (Beijing, China). The sequencing reads were mapped to the F. graminearum PH-1 genome sequence using Hisat2. Feature Counts v1.5.0-p3 was used to count the reads mapped to each gene. Genes with log2 Fold change ≥ 1 or ≤  − 1 and P-value ≤ 0.05 were divided into differentially expressed.
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9

Comprehensive Fagaceae Genomic Dataset

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We constructed a comprehensive Fagaceae dataset consisting of 122 individuals from 91 species representing all eight currently recognized genera58 ,120 . Complete taxon sampling was achieved for three small genera: Chrysolepis (2 species), Notholithocarpus (2 species) and Trigonobalanus (3 species). For the remaining genera, representative samples for all major lineages were included: Fagus (2), Castanea (5), Castanopsis (12) and Lithocarpus (10). For the well-studied genus Quercus, extensive sampling (54 species) was conducted to represent all eight recognized sections42 ,48 . Several species were represented by multiple accessions collected from different natural populations or cultivated plants. Betula pendula was selected as an outgroup due to its close relationship to Fagaceae and the availability of an assembled genome121 (link). Accession information is provided in Supplementary Data 1.
Total genomic DNA was extracted from silica-dried leaf tissue using BioTeke Genomic DNA Extraction Kit (Beijing, China). High-quality DNA was used to constructed paired-end sequencing libraries with an insert size of 500–600 bp according to the Illumina library preparation protocol. Sequencing (150 bp pair-end) was carried out on the NovaSeq platform at Novogene (Beijing, China) to a coverage of 25–40× for all samples.
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10

RNA Extraction and Sequencing Protocol

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Fresh blood (8 mL) was collected (See Dataset S1 and SI Appendix section for details), and RNA extraction was performed using the TRIzol™ LS Reagent (ThermoFisher Scientific #10296028). The RNA obtained was then DNase-treated with TURBO™ DNase (Invitrogen #AM2238) and cleaned using the RNA clean and concentrator kit (ZymoResearch #11-325). The quality of RNA (RIN, RNA integrity number >7.3, Dataset S1) was assessed using Fragment analysis. RNA sample (3 μg) was used for directional mRNA library preparation using polyA enrichment (Novogene Co) and the libraries were sequenced on the NovaSeq platform to generate paired-end, 150 bp reads at a sequencing depth of 60 to 90 million reads per sample (Dataset S1).
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