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Novaseq pe150

Manufactured by Novogene
Sourced in China, United States

The NovaSeq PE150 is a high-throughput sequencing system developed by Novogene. It is capable of producing paired-end reads of up to 150 base pairs in length, enabling efficient and accurate genomic analysis across a wide range of applications.

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14 protocols using novaseq pe150

1

MicroRNA profiling of mouse lens

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Newborn FVB/N strain mouse lenses were dissected into capsules containing adhering epithelial cells and fiber cells. Epithelial and fiber cell fractions were each pooled into three biological replicates for a total of six samples, each containing tissue from 8 lenses. Total RNA was extracted using mirVana miRNA isolation kit (# AM1560, ThermoFisher Scientific). Small RNA was isolated from total RNA by size-selection and NEBNext Multiplex Small RNA Library Prep Kit was used for 50bp-single-ended sequencing to yield ~5 million reads per sample.
Four whole lenses were harvested from miR-26 triple knockout (TKO) mice at two stages (Day 5 and 20 weeks). For 20-week-old mice we selected lens exhibiting cataract (C) and TKO mice without cataract upon visual inspection. RNA extraction was performed using RNEasy Mini Kit (Qiagen cat. 74104) following the manufacturer’s instructions. The RNA Integrity Number (RIN) was determined using an Agilent 2100 Bioanalyzer and samples with RIN > 7 were used for sequencing. RNA passing in-house quality control were sent to Novogene (Sacramento, CA, USA) for mRNA library preparation and sequencing using NovaSeq PE150 with approximately 30 million reads per sample.
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2

Comparative Genome Analysis of Mutant aG6 Strain

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The genome sequencing of mutant strain aG6 and the wild-type strain WT was conducted use of both PacBio Sequel system and Illumina NovaSeq PE150 at Novogene Bioinformatics Technology Co. Ltd. (Beijing, China). The genome sequence was assembled using SOAP, Spades, and Abyss software, and finally integrated using the CISA software. The prediction of coding sequences (CDSs) using the software Genemark. The clusters of orthologous groups of proteins (COG), gene ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases are used for functional annotation and pathway analysis. The software MUMmer (version 3.22) was used to detect SNPs by sequence alignment.
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3

Chloroplast Genome Sequencing and Annotation

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The cp genome was sequenced using the Illumina NovaSeq PE150 platform (Novogene Bioinformatics Technology Co, Ltd. in Beijing, China). The complete cp genome was constructed using MITObim v1.3, and annotated using the online program, GeSeq [40 (link)]. Genes were annotated using CPGAVAS2 (Chloroplast Genome Annotation, Visualization, Analysis and GenBank Submission Tool) [41 (link)]. The circular cp genome maps were drawn using OGDRAW [42 (link)].
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4

Transcriptome Analysis of ETI Response

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Two biological replicates of Col-0 and ect1/9 mutant leaves were collected 24 h after pressure infiltration with Psm ES4326 (AvrRpt2) (OD600 nm = 0.001). For each sample, equal amounts of RNA from two biological replicates were pooled for RNA-seq library construction. Sequencing was performed on an Illumina NovaSeq PE150 platform with 150-bp single-end reads (Novogene). All the downstream analyses were based on clean data with high quality. Reads were mapped to the Arabidopsis TAIR10 genome. Differential expression analysis (DEGs) of Mock and ETI treatment was performed using the DESeq2 package (1.34.0) and graphically represented in a volcano plot by GraphPad Prism 8. The DEGs were identified with the criteria set as P-adjust < 0.05 and fold change > 2. Two valid biological replicates were carried out for the transcriptomic analysis. GO analysis was performed and plotted on ShinyGO 0.76.3 (“http://bioinformatics.sdstate.edu/go/“). Venn diagrams were generated using the web tool Draw Venn Diagram (“http://bioinformatics.psb.ugent.be/webtools/Venn/“). A description of the DEGs of each sample is listed in Supplemental Table 3.
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5

Transcriptome analysis of yeast luc7 mutants

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RNA was isolated as previously described (Wang et al. 2020 (link)). Briefly, strains expressing either LUC7-WT or mutants luc7-nΔ31 and luc7-znf2 and with UPF1 deleted were grown overnight in YPD at 30°C. The following morning, the cultures were diluted in fresh YPD to OD600 = 0.1 and grown at 30°C for 2 doublings; after which cells were collected and flash frozen in liquid nitrogen. Total RNA was extracted using hot phenol:chloroform followed by ethanol precipitation. Total RNA (40 μg) from each condition was then treated with DNaseI (Invitrogen) to remove genomic DNA. Samples were ribo-depleted using the Ribocop for Yeast kit (Lexogen) and libraries were prepared using the CORALL Total RNA-Seq V2 kit (Lexogen). Barcoding was carried out using the UDI 12 nt Set B1 (Lexogen), and amplification was done using 15 cycles of PCR. Sequencing was performed on a NovaSeq PE150 by Novogene who also carried out sample demultiplexing.
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6

Transcriptomic Analysis of Pulmonary Endothelial Cells

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Mouse lung ECs were isolated as described previously [9 (link),35 (link)]. Purified endothelial cells (EC, CD31+ cells) were lysed for RNA isolation with the RNeasy mini kit (Qiagen Inc., Germantown, MD, USA) including DNase I digestion. Equal amounts of RNA from ECs isolated from three individual WT or Egln1Tie2Cre mice were pooled and sequenced with NovaSeq PE150 at Novogene Corporation Inc. (Sacramento, CA, USA) The original sequencing data were trimmed using FASTX and aligned to the reference genome using TopHat2. The differential expression analysis was performed using Cuffdiff software [37 (link)].
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7

Bulk RNA-seq Protocol with NovaSeq

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Bulk RNA sequencing was performed by Novogene (Sacremento, CA) NovaSeq PE150, for all 24 samples generated (n=6 technical replicates per condition), with an average read depth of 27.25M reads per sample. Reads were aligned using STAR 2.7.8a and quantified using the hg38 annotation reference (RefSeq Transcripts 99 – 2021-08-02). Of the 17,366 genes that were quantified to the hg38 annotation reference, only 15,171 genes were utilized for subsequent analyses following filtering to remove genes that exhibited <=10.0 counts per million as the maximum across the 24 sample dataset. This filtered dataset was utilized as described below for individual analyses.
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8

Genome Assembly of Bacterial Strains

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The genomes of the strains D13-10-4-6T and X. soli ZQBWT were sequenced by Illumina NovaSeq PE150 (Novogene, Co., Ltd., Beijing, China). Low-quality reads in the raw data were filtered by readfq (version 10), then the genome assembly with high-quality reads was performed using SOAPdenovo (version 2.04) (Li et al., 2008 (link); Li et al., 2010 (link)), SPAdes (Bankevich et al., 2012 (link)), ABySS (Simpson et al., 2009 (link)), and then the results were integrated with CISA (Lin and Liao, 2013 (link)). The gap of the genome assembly was filled using gapclose (version 1.12).
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9

Illumina-based Sequencing and Assembly of C. difficile

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All the C. difficile strains were sequenced using an Illumina NovaSeq PE150 at the Beijing Novogene Bioinformatics Technology Co., Ltd. In order to ensure the accuracy and reliability of the subsequent information analysis results, the original data must be filtered to obtain valid data (Clean Data) and avoid raw data with low-quality. Raw data was processed in four steps, including removing reads with 5 bp (base pair) of ambiguous bases, removing reads with 20 bp of low quality (≤Q20) bases, adapter contamination, and duplicated reads. Finally, we obtained clean paired-end reads data. Assembly was performed using SOAP denovo v2.04 (Li et al., 2010 (link)).
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10

Liver Transcriptome Analysis of Mice

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Liver bulk RNA sequencing was performed by Novogene (Sacremento, CA) NovaSeq PE150, for all 16 liver samples (n = 4 mice/group), with an average read depth of 6G reads per sample. Reads were aligned using STAR 2.7.8a and quantified using the mouse reference genome mm10. Analysis of differentially expressed genes (DEGs) between groups of interest was conducted using the DESeq2 algorithm. DEGs were selected if the adjusted p value was less than 0.05 and the absolute value of log-fold change was higher than 0.25. Based on the identified DEGs between groups of interest, enrichment analyses of gene ontology terms, the KEGG pathway, and the Reactome pathway were performed using Cluster Profiler R program package. Enrichment analysis results were filtered out if the adjusted p value was greater than 0.05. The data have been deposited in the Gene Expression Omnibus with accession number GSE250004.
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