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Hiseq sequencing platform

Manufactured by Illumina
Sourced in United States, China

The HiSeq sequencing platform is a high-throughput DNA sequencing system designed and manufactured by Illumina. The core function of this product is to perform large-scale and efficient DNA sequencing by synthesizing and detecting fluorescently labeled nucleotides.

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227 protocols using hiseq sequencing platform

1

Gut Microbiota Metagenomic Sequencing

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The metagenomic sequencing method was used to investigate functional changes in the gut microbiota. A total of 6 fecal samples to extract the genomic DNA (3 samples from BDB-treated BKS db mice and others from placebo-treated diabetic mice).
The qualified DNA samples were randomly interrupted with the size of about 270 bp by covaris ultrasonic crusher. The metagenomic sequencing was carried out on an Illumina HiSeq sequencing platform (Illumina Inc., San Diego, CA, USA) by Allwegene Technology Inc (Beijing, China). The raw sequence reads with quality scores below 20 accounts for more than 50% of the total read length were trimmed. We filtered the low-quality sequences of raw reads obtained by sequencing, and the subsequent analysis was based on filtered clean reads. For the host contamination of the sample, compared with the host database to filter out the reads that may come from the host. The open reading frames (ORFs) were predicted by MetaGeneMark and removed redundant by using CD-HIT software to obtain the non-redundant-nucl (https://github.com/weizhongli/cdhit). The COG functional categories were annotated by the EggNOG database via Smith-Waterman comparison algorithm. The KEGG pathway annotation was performed using a BLAST search by the KEGG database.
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2

Genomic DNA Extraction and 16S rRNA Sequencing

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Genomic DNA of strain M9 was extracted using a BioTekeDNA extraction kit (Beijing, China). The 16S rRNA gene was amplified from the genome DNA via PCR using the primers 1492R and 27F [26 (link)] (Table 3). The PCR product was ligated to the pMD19-T vector (TaKaRa, kusatsu, Japen) and sequenced on an Applied Biosystems DNA sequencer (model 3730XL). The sequence of the 16S rRNA gene was compared with those in the GenBank (https://blast.ncbi.nlm.nih.gov/Blast.cgi; accessed on 17 December 2021) and Ezbiocloud (http://www.ezbiocloud.net; accessed on 17 December 2021) databases using BLASTN. The similarity values of paired sequences were obtained by the EzBioCloud server. The genomic DNA of strain M9 was sequenced on the Illumina Hiseq sequencing platform (Majorbio, Shanghai, China). The genome assembly was performed using the ABySS 2.1.5 analysis process implemented in SMRT Link (V6.0.0.47841) to get the draft genome [48 (link)]. The genome data of strain M9 was uploaded to the Genbank database under the accession number JAEKKD000000000.1.
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3

Rumen Microbiome DNA Extraction and Sequencing

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A total of 5 mL of rumen fluid of each sample was lysed with a shaker, and then total genomic DNA was extracted using the QIAamp DNA Stool Mini Kit (Qiagen Ltd., Hilden, Germany). DNA sample concentrations were measured by a UV–VIS NanoDrop 2000c spectrophotometer (NanoDrop Technologies, Wilmington, DE, USA), and DNA integrity was assessed using 1.0% agarose gel electrophoresis (Table S1 and Figure S1). Subsequently, 1.98~2.55 µg of gDNA was used for library preparation. Sequencing libraries were generated using the NEBNext® Ultra™ DNA Library Prep Kit (NEB, Ipswich, MA, USA) following the manufacturer’s recommendations. Index codes were added to attribute sequences to each sample. Briefly, the DNA sample was fragmented by sonication to a size of 350 bp, and then the DNA fragments were end-polished, A-tailed, and ligated with a full-length adaptor for PCR amplification. Finally, the PCR products were purified (AMPure XP system, Beckman, CA, USA), and libraries were analyzed for size distribution by an (Agilent2100 Bioanalyzer, Agilent, Palo Alto, CA, USA) and quantified using real-time PCR. Metagenome sequencing was performed on an Illumina HiSeq sequencing platform (Illumina Inc., San Diego, CA, USA, 150 bp paired-end sequencing).
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4

Transcriptome Profiling of Wheat Cultivars

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Using RNA samples with Integrity Number (RIN) ≥ 7, cDNA libraries of YD588, YN21, and the resistant and susceptible bulks were constructed. RNA integrity assessment and cDNA libraries construction were performed based on the previous studies (Zhu et al., 2020 (link)). Then, using the Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, United States), the quality of the cDNA libraries was assessed. The cDNA libraries sequencing was carried out on the Illumina HiSeq sequencing platform (Illumina HiSeq4000) by Beijing Biomics Technology Company Limited (Beijing, China). High-quality clean data were obtained after raw data filtering, sequences joint, and poor-quality reads elimination. The 10 and 20 Gb clean data were set for parents and bulks, respectively, in the sequencing indicator. Following mapping, the clean data to the reference genome of Chinese Spring (v1.1),1 SNP calling, DEG analysis, and gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed in Cloud Platform developed by Beijing Biomics Technology Company Limited.
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5

High-throughput Cotton Genome Sequencing

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A panel including 383 accessions was analyzed in this study. Total genomic DNA was extracted from young leaves of each accession seedling by using the CTAB method. Then, 150-bp paired-end sequencing libraries were constructed according to the manufacturer’s specifications. Sequencing was implemented using the Illumina HiSeq sequencing platform at Biomarker Technologies. After filtering low-quality paired reads, a total of ∼3.87 TB of clean sequencing data with an average genome coverage of 14.6 × were generated (Table S1).
The remaining high-quality reads were aligned to the reference genome of G. hirsutum TM-1 [30] (link) using BWA with the MEM algorithm with default parameters [31] (link). SNP calling on a population scale was performed with SAMtools [32] (link) based on BAM files generated during the alignment process. Finally, 1,076,652 high-quality SNPs with a missing ratio within the population ≤ 20% and minor allele frequency (MAF) ≥ 0.05 were retained for subsequent analysis. The ANNOVAR package [33] (link) was used to obtain SNP annotation information on the basis of the G. hirsutum reference genome.
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6

Whole-Genome Sequencing of Enterococcus

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The whole-genome sequencing of sequencing of enterococcus was done using the Illumina HiSeq platform (Illumina Inc., United States) by generating 2 × 150 bp paired-end libraries using the Nextera DNA Sample Preparation Kit (Illumina Inc., United States) following the manufacturer’s instructions. Then, the whole-genome sequencing was conducted on an Illumina HiSeq sequencing platform (Illumina Inc. United States; Lepage et al., 2006 (link)). The high quality pair-end reads data were first assembled using SOAP denovo v1.06 (Luo et al., 2012 (link)), and the genome gaps were filled with the GapCloser.1
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7

Fecal Metagenomic DNA Extraction and Sequencing

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For the Spanish and Belgian cohorts, a frozen aliquot (200 mg) of each faecal sample was suspended in 250 µl of guanidine thiocyanate–0.1 M Tris (pH 7.5) and 40 µl of 10% N-lauroyl sarcosine. DNA was then extracted as described in [21] (link).
For the Spanish cohort, the DNA shotgun library was prepared as described in Qin et al. [22] (link). The sequencing procedure was performed by the Beijing Genomics Institute (BGI) using the Illumina HiSeq platform and following Illumina standards [22] (link). The sequencing process provided an average of 47 million paired-end sequence reads per sample.
For the Belgian cohort, the DNA shotgun library was prepared using the Nextera XT DNA Library Prep Kit and the Illumina HiSeq sequencing platform. The sequencing process provided an average of 95 million paired-end sequence reads per sample. Sequence data will be deposited in the NCBI database following publication.
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8

Whole Seed RNA Extraction and Sequencing

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The total RNA of whole seeds (with glumellae) in the late milk stage from the two bulks with extreme phenotypes from the F2 population was extracted using the Trizol method (DP424, TIANGEN Co., Beijing, China) with a minor modification, adding a step as centrifugation of the mixture of seed powder and trizol and only using the supernatant for RNA extraction. RNA quality was confirmed using a LabChip GX Touch 24 nucleic acid analyzer (RNA quality score ≥ 7.1 for all samples; Supplementary Method S1). After quality control, sequencing was performed using an Illumina HiSeq sequencing platform by Wuhan Genoseq Technology Co., Ltd. (Wuhan, China). Fastp software (version 0.23.0) was used to remove adapters and low-quality sequences from the raw data to obtain data with read lengths over 50 bp. Clean data were mapped to the reference genome (MorexV3) using Hisat2 software (version 2.1.0) with the BWT and Ferragina–Manzini (Fm) index methods. Data sorting and file trans-format were conducted using the SAMtools software (version 1.3.1). The screening of SNPs and InDels with different genotypes and association analysis were conducted using the same method described for bulked segregant analysis sequencing.
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9

Transcriptomic Analysis of Psychrophilic Bacterium

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Transcriptomic analysis was conducted as previously described (74 (link)), and strand-specific transcriptome sequencing was performed at Magigene Biotechnology Co., Ltd. (Guangdong, China). After passing the RNA quality test, ribosomal RNA was removed using the Epicentre Ribo-Zero rRNA Removal Kit (Epicentre, Madison, WI, USA); library construction was performed using the NEBNext Ultra II Directional RNA Library Prep Kit for Illumina (NEB, Ipswich, MA, USA). After library detection was qualified, the Illumina HiSeq sequencing platform (Illumina, San Diego, USA) was used for paired-end sequencing. The raw data were filtered and evaluated with fastp software (75 (link)), and the clean reads were then mapped to the S. psychrophila WP2 genome using HISAT software (76 (link), 77 (link)). RSEM (78 (link)) was used to calculate the number of read counts per sample. Then, edgeR was used for differential expression analysis to identify DEGs (79 (link), 80 (link)). The identification criteria for DEGs were as follows: false discovery rate ≤0.05 and |log2FC)| ≥1 of the FPKM value between the two strains. The RNA-seq data represent three biologically independent samples for each strain. The functions and pathways of DEGs were enriched by clusterProfiler (81 (link)).
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10

Metagenomic Analysis of Salted Kelp Microbiome

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Genomic DNA was extracted from the salted kelp samples and saturated salt solution. The prepared salted kelp homogenate was subjected to high-speed centrifugation at 4 °C and 17,000 rpm for 10 min to obtain a precipitate. One gram of the precipitate was collected, and microbial genomic DNA extraction was performed according to the instructions of the PowerSoil® DNA Isolation Kit. Then, 500 mL of saturated saline solution was used to extract the microbial genomic DNA according to the instructions of the PowerWater® DNA Isolation Kit.
The extracted microbial genomic DNA was sent to Beijing Nuohe Zhiyuan Technology Company for high-throughput sequencing. The Illumina-HiSeq sequencing platform was used in combination with the universal primers U515F and U806R for the 16S rRNA gene of prokaryotic microorganisms to perform high-throughput sequencing of PCR amplicons of all the samples. Then, the Illumina-PE150 sequencing platform was used to fragment the genomic DNA of the selected rotten (T25S10) and non-rotten (T4S10) salted kelp into 350 bp fragments for metagenomic sequencing.
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