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Nextseq sequencer

Manufactured by Illumina
Sourced in United States

The NextSeq sequencer is a high-throughput sequencing instrument designed for a wide range of applications, including gene expression analysis, targeted resequencing, and small RNA discovery. The system utilizes Illumina's proprietary sequencing-by-synthesis technology to generate high-quality sequencing data.

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177 protocols using nextseq sequencer

1

Single-cell Transcriptomics of hiPS-derived Cells

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HiPS cell-derived HPVC and hiPS cell-derived valvular interstitial cells were dissociated with trypsin into single cells and processed with the SingleCell3 Reagent Kit on the Chromium platform as described by the manufacturer (10X genomics). cDNA libraries were sequenced with a Next-seq Illumina sequencer. A first analysis was performed with the Cell Ranger and loop cell10X genomics softwares. Clusters and subclusters were defined using genes that were differentially expressed in cell clusters in comparison with all other cells with a threshold of Log2 equal to at least 2. A secondary analysis was performed by B Jagla at the Pasteur Institute (Paris) using the SCDE package and scShinyHub (publicly available at https://github.com/baj12/scShinyHub). 1895 genes were detected as expressed in 50% of cells and 4576 in 25% of cells (Supplementary Fig. 2).
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2

ChIP-seq Analysis of Pou5f1 in Porcine Cells

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ChIP assay was performed from chromatin extracted from VIC nucleoporated with Pou5f1 cDNA cloned in a pcDNA vector using Amaxa electroporator (Amaxa, France). Green fluorescent protein (GFP)–transfected cells were imaged 24 hours later to check transfection efficiency just before the preparation of chromatin (Fig. 2B, inset). Chromatin was prepared, and anti-Oct4 immunoprecipitation was performed as previously described (55 ). Both unprecipitated (input) and precipitated DNA were used in real-time PCR (Roche LC1.5) using SYBR green reagent (Roche) or amplified within a library and sequenced using a NextSeq Illumina sequencer. Enrichment of Oct4 on genomic sites was calculated as percentage of input. Primers are listed in Table 2.
Fastq files were aligned to the pig (susScr11) reference genome, PCR duplicates were removed using Samtools, and normalized genome coverage tracks were generated from uniquely mapping reads (mapq >30) using deepTools2. Single-end reads, unmated reads, and mate reads that map too far apart (>4× fragment length) were extended by 200 base pairs (bp). Biological replicates were pooled, and coverage was then calculated as average reads per million of mapped reads in 10-bp bins. To determine the peaks for ChIPs with narrow binding profiles, datasets were uniformly processed using the MACS2 with default parameters.
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3

Single-cell RNA sequencing library prep

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Library preparation and sequencing proceeded as previously published (18 (link)). Briefly, after the target number of cells was encapsulated, the emulsion of droplets was exposed to UV light (365 nm at ~10 mW/cm2, UVP B-100 lamp) for 8 minutes on ice. The emulsion was incubated at 50°C for 2 hr, 70°C for 15 min, and 4°C for 1 min before splitting into 3,000 cell aliquots. The emulsion was broken using 10 μL of 20% (v/v) 1H,1H,2H,2H-Perfluorooctanolin in Novec-7500 and stored in −80°C until libraries were ready to be processed. In vitro transcription was performed overnight for 16 hours at 37°C. Fragmentation of amplified RNA libraries was performed for 1.5 minutes at 70°C. The final sequence-ready libraries were amplified by 7-9 PCR cycles on average as determined by a diagnostic qPCR. Libraries were quantified by Agilent BioAnalyzer and multiplexed with unique PCR indices in sequencing batches of up to 12,000 cells. The NextSeq Illumina Sequencer was used to sequence libraries using custom sequencing primers.
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4

Isolation and Profiling of Monocytes from Cardiac Transplant Recipients

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Mock-infected and TB40/E-5–infected mixed PBMCs from the in vitro model were stained with calcein-violet AM, CD3/19/20/56APC, and CD14AF700, and calcein+ and CD3/19/20/56/CD14+ cells were sorted on the BD Fusion. Isolated cells were centrifuged at 350g for 10 min at 4°C and then resuspended in 0.1% BSA/PBS to a final concentration of 3000 cells/μl and vortexed to ensure a single-cell suspension. Trypan blue staining was done to confirm that cells entering the scRNA-Seq workflow had greater than 95% viability. For mock- and CMV-infected monocytes isolated from in vitro infections, single cells were then encapsulated into oil droplets using the Bio-Rad ddSEQ Single-Cell Isolator. The Illumina Bio-Rad SureCell WTA 3′ Library Prep kit PBMC protocol was used to generate the cDNA libraries from RNA released from encapsulated cells during cell lysis and oil droplet disruption. Final libraries were quantitated and evaluated for quality control on the Agilent bioanalyzer in the CIID and MGH. scRNA-Seq libraries from calcein+CD45+14+ monocytes obtained from cardiac transplant recipients were constructed using the inDrops-Seq methodology in conjunction with the Harvard Medical School Single Cell Core as previously described (65 (link)). All scRNA-Seq libraries were sequenced on a Next-Seq Illumina sequencer at the Molecular Biology Core Facilities at Dana-Farber Cancer Institute.
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5

Lineage Tracing of Cardiac Progenitors

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Pou5f1creERT2 mice were bred with Rosa26tdTomato mice. Tamoxifen (20 μg/g; mouse) was injected at E7.5 and E8.0. Embryos were collected at E9.5 or E10.5. AVCs, OFT, and adjacent heart forming field region were dissected out from 60 E9.5 and 48 E10.5 mouse embryos and enzymatically dissociated using TrypLE (Thermo Fisher Scientific, France) in the presence of 100 nM thiazovivin. Cells were filtered through a 40-μm mesh and FACS sorted, and cells were processed in Chromium (10X genomics). cDNA libraries were sequenced with a NextSeq Illumina sequencer. A first analysis was performed with cell Ranger and C-loop 10X genomics softwares. Then, a secondary analysis was done using the computational workflow SCHNAPPS (56 (link)), developed by B. Jagla at Pasteur Institute, Paris. Data were normalized using a global-scaling normalization method “LogNormalize.” To cluster the cells, we used the SCRAN algorithm and the igraph method. We use principal components analysis for performing a predimensionality reduction before running the t-SNE plotting. We thus choose 50 components, a number of variable genes of 500, and a minimal size of clusters of 50 cells. Trajectory inference was performed using Elpigraph included within the SCHNAPPS computer program (57 (link)).
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6

RNA-seq Library Preparation Protocol

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Five micrograms of total RNAs was depleted of rRNAs (Ribo-Zero rRNA removal kit [human/mouse/rat], Epicentre). RNA integrity and rRNA depletion efficiency were assessed on a Bioanalyzer (Agilent). Two biological duplicate RNA-seq libraries were prepared starting with 200 ng of rRNA-depleted RNAs following the manufacturer's instructions (ScriptSeq version 2 RNA-seq, Epicentre). Multiplexed libraries were clustered and sequenced on a Hi-Seq 2000 or NextSeq Illumina sequencer.
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7

Differential Gene Expression Analysis

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RNA samples were sequenced at Biomedicum Functional Genomics Unit (FuGU) with Illumina NextSeq sequencer (Illumina, San Diego, CA, United States) in High output run using NEBNext® UltraTM II Directional RNA Library Prep Kit for Illumina. The sequencing was performed as single-end sequencing for read length 75 bp. The count data was used to calculate differential expression statistics with the DESeq2 software in the R environment. Genes with an adjusted p-value for the log2-fold change <0.05 were considered significant. Gene Ontology (GO) analysis was performed using DAVID Bioinformatics Resources 6.8.
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8

Taxonomic Confirmation of A. radioresistens

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To confirm the correct taxonomic assignment of the A. radioresistens strains included in this study, we performed Whole Genome Sequencing (WGS) using Illumina technology. Nextera XT DNA libraries (Nextera XT DNA Library Prep Kit, Illumina, San Diego, CA, USA) were generated from genomic DNA and sequenced on an Illumina NextSeq sequencer (Illumina, San Diego, CA, USA) followed by short-read genome assemblies using SPAdes 3.12 [23 (link)] (Center for Algorithmic Biothechnology, St. Petersburg, Russia). All genome sequences were deposited at NCBI GenBank, BioProject ID PRJNA224116, Acc. Nos. JAATOZ000000000-JAATPL000000000 and JANRFO000000000-JANRFV000000000 (Table 3). In silico analyses were performed using the EZ Biocloud ANI calculator (https://www.ezbiocloud.net/tools/ani, 22 June 2022) and the DSMZ type strain genome server (TYGS, https://tygs.dsmz.de, 29 May 2021) to determine digital DNA-DNA hybridization values [24 (link),25 (link)]. For taxonomic comparisons, our isolates were compared to the type strain genome A. radioresistens NBRC 102413T (GenBank Acc. Nos. AP019740-1). For the determination of a species affiliation of a strain, a cut-off of 94–96% is given for the ANI and a value of 70% for the dDDH [21 (link)].
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9

RNA-seq Library Preparation and Analysis

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Samples were sorted as described above and each replicate indicates a biological replicate that was prepared using different sets of mice on different experimental days. RNA-seq library preparations were performed (Chevrier, N. manuscript in preparation). Briefly, RNA was isolated using MyOne Silane Dynabeads (Thermo Fisher Scientific). RNA was fragmented, and barcoded using 8bp barcodes in conjunction with standard Illumina adaptors. Primers were removed using Agencourt AMPure XP bead cleanup (Beckman Coulter/Agencourt) and samples were amplified with 14 PCR cycles. Libraries were gel purified and quantified using a Qubit high sensitivity DNA kit (Invitrogen) and library quality was confirmed using Tapestation high sensitivity DNA tapes (Agilent Technologies). RNA Sequencing reactions were sequenced on an Illumina HiSeq 2000 or Illumina NextSeq sequencer (Illumina) according to manufacturer’s instructions, sequencing 50bp reads. Analysis was performed using the CLC Genomics Workbench version 8.0.1 RNA-seq analysis software package (Qiagen). Briefly, reads were aligned (mismatch cost=2, insertion cost=3, deletion cost=3, length fraction=0.8, similarity fraction=0.8) to the mouse genome and differential expression analysis was performed (total count filter cutoff=5.0). Results were normalized to reads per million. Gene-e (Broad Institute) was used to generate heatmaps.
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10

RNA Isolation and NGS Library Preparation

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Total RNA was isolated using an RNeasy mini kit (Exiqon; Qiagen, Hilden, Germany) following the manufacturer’s protocol. RNA quality and quantity were analyzed on ND-1000 spectrophotometer (Nanodrop Technology, USA). Furthermore, RNA quality was assessed by Bioanalyser RNA 6000 kit (Agilent Technologies, CA, USA) to determine the RIN number. Only samples with RIN ≥ 7 were included for sequencing. Next-generation sequencing (NGS) libraries were constructed with the TruSeq® Stranded mRNA LT kit (Illumina, San Diego, CA) according to the manufacturer’s protocol. Bioanalyser (Agilent Technologies, CA, USA) was used for quality control of indicated steps as recommended by the manufacturer. Single-read sequencing for 75 cycles was run in an Illumina NextSeq sequencer (Illumina Inc., San Diego, USA) using the NextSeq 500 High output kit (Illumina Inc., San Diego, USA).
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