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Nextseq 500

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The NextSeq 500 is a high-throughput sequencing system designed for a wide range of applications, including gene expression analysis, targeted resequencing, and small RNA discovery. The system utilizes reversible terminator-based sequencing technology to generate high-quality, accurate DNA sequence data.

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5 724 protocols using nextseq 500

1

Comprehensive Sequencing of Cell Lines and Patient Samples

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Cell lines were sequenced on the Illumina NextSeq 500 with the 150-bp paired-end application to achieve 2,500–3,000X coverage. For limit-of-detection experiments using cell lines diluted into PBMCs, samples were sequenced on Illumina NextSeq 500 and HiSeq 2500 sequencers using a 150-bp paired-end application and achieving a combined depth of 120,00X.
Patient bone marrow samples were sheared to 300 bp and sequenced on the Illumina NextSeq 500, achieving 5,000X coverage. cfDNA samples from the blood plasma of 18 patients were available for sequencing (Tables 4 and S4). cfDNA naturally occurs as 150- to 170-bp fragments and was input directly into DNA library preparation without shearing. The 25 patient samples collected for MRD detection were sequenced to a depth of 8,000–10,000X coverage (Table S10), and the 14 samples in patients with clinically measurable disease were sequenced to 2,000–5,000X coverage (Table 4) using a 150-bp paired-end application on the Illumina NextSeq 500.
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2

Analyzing COVID-19 Gene Expression Profiles

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The Gene Expression Omnibus (GEO) is an open database that stores expression chip data, from which the GSE150316 and the GSE147507 gene expression profiles were obtained. The GSE150316 gene expression profile was obtained from the platform GPL18573 Illumina NextSeq 500 (Homo sapiens), and the GSE147507 gene expression profile was obtained from the analysis of platform GPL18573 Illumina NextSeq 500 (Homo sapiens) and platform GPL28369 Illumina NextSeq 500 (Mustela putorius furo). From the GSE150316 and GSE147507 gene expression profiles, the gene data of 47 samples and that of four samples were selected, respectively, both of which were included for research and analysis. Out of the gene data of 47 samples, 42 were obtained from the lung tissues of 11 COVID-19-positive patients, and five from normal human lung tissues. Out of the gene data of four samples, two were from lung tissue samples of the same COVID-19 positive patient (technical replication), and two were from lung tissues of two normal individuals (a male and a female).
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3

Illumina NextSeq 500 RNA Sequencing

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RNA sequencing was performed by the UVA genomics core using the Illumina NextSeq 75 bp High Output sequencing kit reagent cartridge in conjunction with the Illumina NextSeq 500 (Illumina; 75 cycle, single read sequencing), according to the standard manufacturer-recommended procedure. Samples were randomized into four groups and run sequentially on the Illumina NextSeq 500 for single-end sequencing. After transfer to the Illumina Base Space interface, the quality of the runs was assessed by the number of reads in millions passing filter and the per cent of indexed reads. All runs passed the rigorous Illumina run quality control with an average of 94% passing filter, 94% Q30, 38 Gb per run, 439 million reads per run and 96% index recovery.
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4

Multiomic Sequencing of Transcriptome and Genome

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For RNA-seq, extracted RNAs were digested with DNase I (Qiagen, 79254) and purified using the RNeasy MinElute Cleanup Kit (Qiagen, 74106). RNA-seq libraries were prepared using the TruSeq Total RNA Sample Prep Kit (Illumina) and sequenced with Illumina NextSeq 500 using a 75-bp paired-end run. For ChIP-seq, 10 ng of ChIP DNA was used for library construction. The NEBNext Ultra DNA Library Prep Kit (NEB, E7645) was used to prepare the sequencing library. The libraries were sequenced in a 75-bp single-end run using Illumina NextSeq 500.
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5

Single-end RNA-seq Transcriptome Analysis

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The RNA-seq method used in the present analysis has been previously published19 (link) but briefly, the Illumina NextSeq 75 bp High Output sequencing kit with Illumina NextSeq 500 (Illumina, San Diego, California; 75 cycle, single read sequencing) were used according to the manufacturer-recommended procedure. Samples were run on the Illumina NextSeq 500 for single-end sequencing and transferred to the Illumina Base Space interface. Quality control (QC) was performed by assessing the numbers of reads in millions passing filter and the per cent of indexed reads. All runs passed the Illumina QC procedures. The clean reads were mapped with the star aligner to the GENCODE V.27 of the transcriptome and hg38 human genome build. The HTseq20 (link) software was used to count aligned reads mapping to each gene.
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6

Exome Sequencing of Gl261 Tumor Tissue

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DNA from Gl261 tumor tissue from R and NR mice was extracted using the INVISORB® DNA Tissue Mini Kit (STRATEC Biomedical AG) according to the manufacturer’s instruction. RNA contamination was eliminated by RNase digestion with 10 mg ml−1 RNase at room temperature (RT) for 5 min (Sigma-Aldrich). Exome sequencing was performed on the Illumina NextSeq500 platform (Illumina Inc, San Diego, Calif.) using High output flow cell (75 nt reads paired end + 8 nt index). SureSelectXT Target Enrichment System (Agilent Technologies) was used for library generation according to the manufacturer’s instructions. To convert the vendor-specific sequencing data format generated by the Illumina NextSeq500 to a standard file format, the Illumina tool bcl2fastq (v2.15.0.4)46 was used. To check the sequencing read quality, reports were generated with the tool fastqc (v0.10.1)47 . After quality checks the alignment was performed with bwa mem (v0.7.5)48 and the mouse reference genome GRCm38.68. The picard-tools (v1.105)49 were used to remove duplicates from the alignment files. The sorting and indexing of these files was done with samtools (v0.1.19)50 (link). Afterward the variants were called by samtools mpileup (v0.1.19) for single-nucleotide variants and platypus (v0.7.9.1)51 for insertions and deletions. The basic annotations of the called variants was done with annovar (v2013-08-23)52 (link).
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7

RNA-Seq analysis of FFPE tissue samples

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NGS analysis was performed as follows: RNA was isolated from FFPE tissue sections using the Qiagen miRNeasy FFPE kit (Qiagen, Hilden, Germany) and purified using RNeasy MinElute cleaning (Qiagen). The total RNA concentration was measured using the Qubit fluorometer (Thermo Fisher Scientific, Waltham, MA, USA), and the quality was checked using the 2100 Bioanalyzer with the RNA 6000 Nano kit (Agilent Technologies, Santa Clara, CA, USA). Library preparation was performed using QIAseq stranded total RNA library kit (Qiagen) with QIAseq Fast Select RNA Removal kit (Qiagen) for RNA depletion according to the manufacturer’s instructions and quality assessed by 2100 Bioanalyzer (Agilent). The libraries were run on the Illumina NextSeq 500 (Illumina) platform using NextSeq 500/550 High Output Kit v2.5 (75 Cycles) according to the manufacturer’s instructions. The analysis of the RNA sequencing data was processed using the Archer Analysis bioinformatics platform (v 6.2).
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8

Comprehensive Genomic Profiling of Tumors

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DNA and RNA from fresh frozen biopsies, blood and tumor-infiltrating lymphocytes were extracted as described. Primary eye tumors were sectioned and processed using an FFPE DNA kit (Qiagen). Whole-genome DNA libraries were made using the Illumina TruSeq PCR-free kit or Illumina TruSeq Nano in some cases where low input material was available and sequenced with Illumina HiSeq X Ten at SciLifeLab in Stockholm or Illumina NovaSeq 6000 at GeneCore SU in Gothenburg. RNA libraries were made using the Illumina TruSeq Stranded mRNA kit with poly-A selection and sequenced with Illumina HiSeq 2500 at SciLifeLab in Stockholm or with Illumina NextSeq 500 at GeneCore SU in Gothenburg. Exome-sequencing libraries were prepared with the NextSeq 500 HighOutput Kit v2 and sequenced with Illumina NextSeq 500.
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9

Cellular RNA-seq for USP30-AS1 Knockdown

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For cellular RNA-seq with USP30-AS1 knockdown, total RNA was isolated and DNase I was treated using the Maxwell Simply RNA Kit (Promega). 1 μg of quality-verified RNA was used for library preparation and sequenced on Illumina Nextseq 500 (75 bp single-ended mode, 1 × 106 reads/sample). 1 μg of quality-verified RNA was used for library preparation and sequenced on Illumina Nextseq 500 (75 bp single-ended mode, 1 × 106 reads/sample). Differential expression analysis performed using edgeR56 in R/Bioconductor, and the following filters were used to select important genes: adjusted p value < 0.05 and |log2FC|> 0.585.
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10

Single-cell ATAC-seq with Antibody and mtDNA Profiling

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scATAC-seq libraries were prepared using the Chromium Next GEM single-cell ATAC reagent kit v1.1 following the manufacturer’s instructions with the modifications described in the ASAP-seq and mtscATAC-seq protocols to retrieve TotalSeq antibody-derived tags (ADTs), hashtag oligonucleotides (HTOs) and mtDNA16 (link)–18 (link). The saved eluate from the silane bead elution and the supernatant of the first SPRIselect purification were combined for amplification of ADT/HTO libraries using the KAPA HiFi ready mix (Roche) with sample-specific index primers (Illumina small RNA RPIx/Truseq D7xx) and purified using SPRIselect reagent. Library size and quality were analyzed using a Fragment Analyzer (Advanced Analytical) before fragmentation and after final purification. Final library concentrations were measured on a Qubit 2.0 fluorometer (Thermo Fisher). Libraries were sequenced on a NextSeq500 or NovaSeq6000 sequencer (Illumina) using longer read1/2 configurations than suggested by 10x Genomics to improve mitochondrial genotyping (NextSeq500: R1 72 cycles, R2 72 cycles, I1 8 cycles, I2 16 cycles; NovaSeq6000: R1 88 cycles, R2 88 cycles, I1 8 cycles, I2 16 cycles).
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