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Hiseq 4000 pe150

Manufactured by Illumina
Sourced in United States, China

The HiSeq 4000-PE150 is a high-throughput DNA sequencing system produced by Illumina. It is capable of generating paired-end reads of up to 150 base pairs in length. The system is designed to provide rapid and accurate DNA sequencing data for a variety of applications.

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22 protocols using hiseq 4000 pe150

1

Whole-Genome Sequencing and Antimicrobial Resistance Analysis

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Whole-genome sequencing (WGS) was performed by Novo Gene Co., Ltd, Beijing, China. Genomic DNA was extracted using a DNA kit (Omega Bio-tek, Norcross, USA). The DNA was subsequently sequenced using Illumina-HiSeq 4000-PE150 (Illumina, San Diego, CA, USA) and PacBio RS II platform (Pacific Biosciences, California, USA). Alignment of antimicrobial resistance genes was performed through the ResFinder platform (https://cge.cbs.dtu.dk/services/ResFinder/). Using the website, multilocus sequence typing (MLST) was performed on all isolates (https://cge.cbs.dtu.dk/services/MLST/). The MLST of DY1901 was determined by aligning the housekeeping genes dnaA, fusA, gyrB, leuS, pyrG, rplB and rpoB. Virulence genes were identified by BLASTN against the VFDB database (http://www.mgc.ac.cn/VFs/main.htm).
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2

Genome Assembly and Annotation of Citrobacter freundii

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Genomic DNA was extracted using a DNA kit (Omega Bio-tek, Norcross, USA). The DNA was subsequently sequenced using Illumina-HiSeq 4000-PE150 (Illumina, San Diego, CA, USA) and PacBio RS II platform (Pacific Biosciences, California, USA). After sequencing, the complete genomic sequence of C. freundii L91 was generated using the Unicycler12 (link) by combining the sequencing results. The whole-genome sequence of the L91 was deposited in GenBank under the following accession numbers: SCVZ00000000. Additionally, the acquired antimicrobial resistance genes and replicon type of plasmid were identified using the online tools (http://www.genomicepidemiology.org/). The bacterial genome was annotated using the RAST server (http://rast.nmpdr.org/) and the transposon and IS elements were identified using the ISFinder database (https://www-is.biotoul.fr/). A circular image of multiple plasmid comparisons was generated using the BLAST Ring Image Generator (BRIG). The genetic environment surrounding the blaIMP-4 was annotated using Easyfig 2.2.3.
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3

RNA-Seq Analysis of Soybean Response to Soybean Mosaic Virus

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SMV N3 and PBS buffer were used as control treatments while inoculating the SN14 plants. At 3, 6, 12, 24, and 72 hpi, leaf samples from SMV-inoculated and control-inoculated plants were taken. Three biological replicates were collected for each group. Total RNAs were extracted and used for cDNA library construction by the Illumina TruSeq Kit (Illumina Inc., San Diego, CA, USA). The cDNA library sequencing was performed on an Illumina HiSeq 4000 PE 150 platform in Biomarker Technologies (Beijing, China). The raw RNA-Seq reads were mapped to the GlymaWm82.a2.v1 genome using Hisat2 [47 (link)]. Fragments Per Kilobase of Transcript Sequence per Million Base Pairs Sequenced (FPKM) values were calculated and standardized using DESeq2 [48 (link)]. Furthermore, the read counts for each gene were obtained using HTseq-count [49 (link)]. The DEGs compared with the corresponding control treatment at each time point were determined with a false discovery rate (FDR) ≤ 0.01 and the absolute value of log2(Fold-change) ≥ 2 as the threshold.
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4

Genome Sequencing and Annotation of Morganella morganii L241

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Genomic DNA was extracted using the OMEGA Bacterial DNA kit (Omega Bio-tek, Norcross, United) and was then sequenced on both the llumina HiSeq 4000-PE150 (Illumina, San Diego, CA, United States) and the PacBio RS II platforms (Pacific Biosciences, California, United States). We created a complete genome sequence for M. morganii L241 using Unicycler (Wick et al., 2017 (link)) by combining our llumina sequencing reads with PacBio sequencing reads. By using Unicycler (Wick et al., 2017 (link)), raw llumina reads were assembled using SPAdes, semi-global alignment was then performed by aligning PacBio reads to the assembly data, the llumina sequenceing reads were finally used to polish the genome assembly with Bowtie2 and Pilon. Additionally, online tools1 were used to identify acquired antimicrobial resistance genes and replicon type of plasmid. This genome was annotated by the RAST server (Aziz et al., 2008 (link)), while the IS Finder database2 was used to identify transposon and IS elements. The circular image of multiple plasmids comparisons was generated by the BLAST Ring Image Generator (BRIG) (Alikhan et al., 2011 (link)). Finally, the comparison figures of the genetic context of blaNDM–5 on multiple plasmids were performed with a Python application Easyfig (Zheng et al., 2017 (link)).
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5

Metagenomic Sequencing of Environmental Samples

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DNA was extracted using MasterPure DNA extraction kit (Epicentre, USA) with proteinase K following the manufacturer’s instructions. DNA concentrations were measured using a NanoDrop One Spectrophotometer (Thermo Fisher Scientific, USA) and DNA extracts were stored at −20°C for metagenomic sequencing. Shotgun sequencing was performed using Illumina Hiseq 4000 PE150 (for sample SK) (Novogene, China) and Illumina Novaseq 6000 PE150 (for samples ST, STL, SWH, TP, and YL) (Novogene, China). Metagenomic sequencing for SK, ST, STL, SWH, TP, and YL yielded 40.1, 32.6, 34.1, 40.6, 33.8, and 41.7 Gb raw data, respectively. Read numbers for SK, ST, STL, SWH, TP, and YL were 267 million, 217 million, 227 million, 271 million, 225 million, and 278 million, respectively. The sequencing depth (average coverage for viral contigs) for SK, ST, STL, SWH, TP, and YL was 107×, 69×, 65×, 64×, 103×, and 139×, respectively.
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6

Gut Microbiome Sequencing Protocol

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Fecal sample processing, nucleic acid extraction, library preparation, and whole genome shotgun sequencing were performed at the University of North Carolina at Chapel Hill Microbiome Core (Chapel Hill, NC, USA), which is supported by the following grants: Gastrointestinal Biology and Disease (CGIBD P30 DK034987) and the UNC Nutrition Obesity Research Center (NORC P30 DK056350). DNA was extracted using the QIAamp Fast DNA Stool Mini Kit and library was prepared using the Swift 2S Turbo DNA library kit. DNA was sequenced on the Illumina HiSeq 4000 PE 150 platform. Positive controls included ZymoBIOMICS Microbial Community Standard (Cat. No. D6300), Microbial Community DNA standard (Cat. No. D6305), and Gut Microbiome Standard (Cat. No. D6331). DNA-free deionized water was used as a negative control and to detect possible contamination. To avoid batch effects, fecal samples were randomized prior to nucleic acid extraction and all samples were sequenced at the same time. Mean total reads were 18,339,758, with similar read depth on each diet (19,475,004 for the WD and 17,204,513 for the MBD).
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7

Chloroplast Genome Sequencing Protocol

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The total genomic DNA was extracted from 100 mg of fresh leaves by the modified CTAB method (Li et al., 2013 (link)). Subsequently, the total DNA was disrupted by ultrasound to produce fragments of 300–500 bp and the fragment quality was checked using Bioanalyzer 2100 (Agilent Technologies). A 400 bp DNA library was constructed using the NEB Next Ultra™ DNA Library Kit (Illumina, San Diego, California, USA). To assemble the chloroplast genome, we firstly using Hiseq 4000 PE 150 (Illumina, San Diego, California, USA) to sequencing the library fragments, then SPAdes (Bankevich et al., 2012 (link)) was used for de novo assemblies, the contigs obtained were further screened by BLAST, after that, Sequencher 4.10 (http://www.genecodes.com) were used to marge the screened contigs, finally, Geneious 8.1 (Kearse et al., 2012 (link)) was used to compare all reads to the spliced chloroplast genome sequence to test whether the counting sequence was correct or not.
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8

RNA-seq analysis of gene expression

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At 7 days post-induction, total RNA was extracted. Polyadenylated RNA-seq was performed using standard Illumina Truseq kits, and samples were sequenced using the Illumina HiSeq 4000 PE150.
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9

Genomic DNA Isolation and Sequencing of Leishmania donovani

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Genomic DNA were isolated from promastigotes representing each of the HCZ isolate, DD8 and 9044 strains of L. donovani using TIANamp Genomic DNA Kit (Tiangen, Beijing, China) according to the manufacturer’s instructions. In brief, purified stationary phase promastigotes (~ 4 × 108 cells) were transferred to a sterile microcentrifuge tube containing lysis buffer, from which the released genomic DNA was bound to column, washed with washing buffer, and then eluted with nuclease-free water. DNA samples representing the HCZ isolate, DD8 and 9044 strains were stored at -20 °C until use.
The quality and intensity of DNA samples were measured using a Qubit Fluorometer (Thermo Fisher Scientific, Rochester, NY, USA). Sequencing libraries (pair-end) representing each L. donovani samples (HCZ isoalte, DD8 and 9044 strains) were constructed using an internal DNA 200 bp-800 bp Insert Size Pooling Library Construction Kit (BGI, Shengzheng, China). In brief, 1 µg genomic DNA was randomly fragmented, incubated with End Repair Mix, combined with A-Tailing Mix, ligated to Illumina adapters, amplified with PCR Primer Cocktail and PCR Master Mix, and validated by the Agilent 2100 Bioanalyzer and ABI StepOnePlus Real-Time PCR System. The qualified libraries were sequenced on Illumina Hiseq4000 (PE150) platform.
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10

Transcriptome Analysis of Arabidopsis Mutants

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Total RNA isolated from uninfected detached leaves of Col‐0, rtp5‐3 and RTP5OE2 were sequenced with an Illumina HiSeq4000 PE150 at Novogene Bioinformatics Technology Co., Ltd (Beijing, China). The clean data were mapped to the Tair10 genome release files using TopHat2 (mismatch = 2). The reads numbers mapped to each gene were counted using HTSeq (‐m union) and the reads count was used to calculate FPKM (expected number of fragments per kilobase of transcript sequence per million base pairs sequenced) (Trapnell et al., 2010). DEGSeq R package (q < 0.005 and |log2 (fold change)| > 1) was used for differential expression analysis. The P‐values were adjusted with the Benjamini and Hochberg method. The read number information of the RNA‐Seq data is shown in Table S3.
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