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34 protocols using nexseq 500

1

Transcriptome Analysis by RNA-seq

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Total RNA was purified using the TRIzol reagent. RNA-seq libraries were prepared using a QuantSeq 3′ mRNA-Seq Library Prep Kit FWD for Illumina and UMI Second Strand Synthesis Module for QuantSeq FWD (Lexogen). Sequencing was performed on an Illumina NexSeq500 (Illumina) in 75-base single-end mode. The obtained reads were mapped to the mm10 genome and UMI counts were measured using Strand NGS (Agilent). Expression data were normalized, and differentially expressed genes were identified using the EdgeR software.
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2

Karius Test for Microbial DNA Detection

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In this study, the Karius test (Karius, Inc., USA) was applied to detect microbial cell-free DNA in blood samples from all patients. Blood samples from each patient were collected in BD Vacutainer plasma preparation tubes (BD Bioscience, USA) and delivered to Beijing Genomics Institute laboratory for processing. NGS libraries were performed on the Illumina NexSeq500 (Illumina, USA). Infectious disease experts (two clinicians specializing in intensive care and clinical microbiology) were involved in the interpretation of all NGS results.
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3

RNA-seq of Arabidopsis Seed Development

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Col-0 and urgt2-2 plants were grown simultaneously under the growth conditions detailed above. Flowers were tagged at the beginning of pollination, which was defined phenotypically as the time at which the flowers were just starting to open, as previously described by Western et al. (2000) (link). For RNA-seq experiments, developing seeds were dissected from the siliques at 8 DAP and total RNA was isolated from the developing seeds of four siliques using the RNeasy Plant Micro kit (Qiagen) including a DNase I treatment (Invitrogen™) following the manufacturer’s instructions. Samples to make the libraries were obtained from three different plants in order to generate biological replicates. Each total RNA sample had a 260:280 nm ratio of at least 1.8 and an RNA quality number (RQN) value >8.0. From 1.0 μg of total RNA, cDNA libraries for each sample were constructed using the TruSeq® Stranded mRNA kit (Illumina). Quality control and concentration were determined by capillary electrophoresis (Fragment Analyzer®, AATI). Six cDNA libraries (2 genotypes×3 biological replicates) were sequenced on one lane of Illumina NexSeq500.
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4

Single-cell RNA-seq of NP-specific CD4+ T cells

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Total NP-specific CD4+ T cells (0.5 × 104 to 3 × 104) were sorted from mLN and lung of PR8-OVA2-infected mice at indicated time points and were provided for library preparation using the 10x Chromium platform. Each sample is pooled from 4 to 12 C57BL/6J mice. Sorting was performed using BD FACSAria III and BDSortAria III. Single-cell capture and cDNA library preparation were performed with the Single Cell 3′ v2 Reagent Kit (10x Genomics) according to the manufacturer’s instructions. Sequencing was performed on one flow cell of an Illumina NexSeq 500 at the Genomics Facility Basel of the ETH Zurich. Paired-end reads were obtained, and their quality was assessed with the FastQC tool (version 0.11.5). The length of the first read was 26 nucleotides (nt), composed of individual cell barcodes of 16 nt, and unique molecular identifiers (UMIs) of 10 nt. The length of the second read, composed of the transcript sequence, was 58 nt. The samples in the different wells were identified using sample barcodes of 8 nt.
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5

Mycobacterium tuberculosis Whole Genome Sequencing

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MTB strains were isolated in LJ media and genomic DNA was extracted and purified following the CTAB method [32 (link)]. The DNA was quantified using a nanodrop (Thermo Scientific, Waltham, MA, USA), with subsequent adjustment to a concentration of 0.2 ng/µL. The WGS libraries were prepared according to the Nextera XT (Illumina, San Diego, CA, USA) protocol, using 1 ng/mL of DNA previously quantified by a Qubit fluorometer (Invitrogen, Waltham, CA, USA). Quality control of the libraries was conducted using TapeStation (Agilent Genomics, Santa Clara, CA, USA), which were normalized and sequenced using NexSeq 500 (Illumina, San Diego, CA, USA) in a 2 × 150 paired-end format. Genome sequences are available under the bioproject number PRJNA1041872.
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6

RNA-Seq Analysis of Tumor Tissues

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Tumor tissues were frozen in RNAlater solution (Thermo #PA5-39542) and RNA was extracted using the RNeasy plus mini kit (Qiagen #74134). cDNA libraries were built using NEB Next Ultra RNA Library Prep Kit for Illumina (NEB #E7530S). Samples were multiplexed using NEB Next Multiplex Oligos for Illumina (NEB #E7710L). Samples were sequenced on an Illumina NexSeq 500 and reads were aligned to the mouse genome (GRCm38) using HiSat258 (link). Mapped reads were counted using the featureCounts function from the Subread59 (link) package. Differential expression between groups was calculated using edgeR50 (link).
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7

Bulk RNA-seq Analysis of Dendritic Cells

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For bulk RNA-seq analysis, 5,000 DC were facs-sorted into 1.7 ml LoBind microtubes (Eppendorf) containing 40 μl of lysis buffer (Life Technologies). RNA was captured with Dynabeads mRNA Direct Purification Kit (Life Technologies) according to the manufacturer's instructions. The RNA-seq protocol for the generation of libraries is a derivation of MARS-seq (36 (link)). RNA-seq libraries were sequenced using Illumina NexSeq-500, raw data were mapped to the genome (NCBI37/mm9) using HISAT (version 0.1.6) (57 (link)), only reads with unique mapping were considered. Gene expression levels were calculated using HOMER software package (analyzeRepeats.pl rna mm9 -d < tagDir> -count exons -condenseGenes -strand + -raw) (58 (link)). Normalization and differential expression analysis were done using the DESeq2 R-package (Bioconductor, https://bioconductor.org/packages/release/bioc/html/DESeq2.html) (59 (link)). Differentially expressed genes were selected using a 2-fold change and p-value < 0.05 (Figures 3B,D), or a 1.8-fold-change and p-value < 0.05 (Figures 4B,C) or p-value < 0.01(Figure 4D) between at least two conditions. Gene expression matrix was clustered using a k-means algorithm (Matlab function kmeans) with correlation as the distance metric. Heat maps were generated using Genee software.
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8

Nanopore and Illumina Sequencing of Cyanobacteria

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Nanopore libraries were prepared by using the Ligation Sequencing Kit (SQK-LSK109) in conjunction with the Native Barcoding Expansion Kit (1-12). No size selection was done prior to the library preps. We sequenced the four libraries on two MinION R9 flowcells (strains C52 + TCL26-01 on one and C57 + TCL240-02 on the other). Sequencing duration was set to 60 h. We basecalled the raw data using the “flip-flop” algorithm in guppy (version 2.3.7).
For Illumina library construction, we used the SparQ DNA Frag & Library Prep kit and Adapter Barcode Set A following the manufacturer’s protocol. Approximately 100 ng DNA from each strain was used as the input, and fragmented for 5 min in the Fragmentation mix. Libraries were amplified with eight polymerase chain reaction cycles, followed by size selection at 300–700 bp using sparQ PureMag Beads. The four cyanobacteria libraries were pooled with eight other samples in equal quantity and sequenced together on an Illumina NexSeq500 mid-output flowcell at Cornell Institute of Biotechnology.
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9

RNA-seq Analysis of Splenic CD11b+ Cells

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CD11b+ splenocytes were isolated from wild-type recipient mice 11 weeks after BMT. For hypercholesteraemia experiments, BMT was conducted in Ldlr−/− mice, four weeks after which a WTD was administered and sustained for seven weeks. Following WTD, mice were killed and CD11b+ splenocytes were collected and isolated into TRIzol reagent (Thermo Fisher Scientific). Aortic roots were also removed. RNA was isolated with RNeasy kits (Qiagen) and RNA-seq experiments were conducted as previously described37 (link) on a NexSeq 500 (illumina). Genes were considered differentially expressed if they were significant at 5% false discovery rate (FDR) by DESeq2 and were at least twofold different in average reads per kilobase of transcript per million mapped reads (RPKM). Gene ontology analysis was conducted using the PANTHER database38 (link). Extended Data Fig. 1 displays RNA-seq data. All data have been deposited into a public repository.
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10

RNA-Seq Analysis of NB4A vs. DMSO Treated Cells

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Total RNA from cultured cells was isolated with the QIAGEN RNeasy Mini Kit with on-column DNase digestion. RNA quality checks were performed with an Agilent 2100 Bioanalyzer (Eukaryotic Total RNA Nano kit). Library preparation (500 ng input RNA) was performed with the NEBNext Poly(A) mRNA Magnetic Isolation Module (#E7490) with SPRIselect Beads (Beckman Coulter), the NEBNext Ultra II Single-End RNA Library Prep kit (#7775S), and the NEBNext Multiplex Oligos for Illumina (Index Primers Set 1) according to the manufacturer’s instructions. Library size was confirmed with an Agilent 2100 Bioanalyzer (DNA1000 chip). Pooled libraries were diluted to 1.8 pM (concentrations checked with the Qubit Fluorometer high-sensitivity assay, Thermo Fisher), and sequenced on an Illumina NexSeq 500 instrument with the NexSeq 500 75-cycle high-output kit.
For data analysis, FASTQ files were generated with the bcl2fastq command line program (Illumina). Transcript alignment was performed with Salmon (Patro et al., 2017 (link)). Differential expression analysis (NB4A- vs. DMSO-treated cells) was performed with the DESeq2 R package. DESeq2 “stat” values for each gene were used as inputs to pre-ranked GSEA, where enrichment was tested against the Hallmark gene sets from the Molecular Signatures Database (MSigDB). Access to sequencing data is discussed in the data availability section.
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