Repli g cell wga wta kit
The REPLI-g Cell WGA & WTA Kit is a laboratory product designed for whole genome amplification (WGA) and whole transcriptome amplification (WTA) from a small number of cells. The kit uses a proprietary technology to generate high-quality, representative amplification of genomic DNA and RNA from limited sample material.
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9 protocols using repli g cell wga wta kit
Transcriptional Profiling of Corneal Immune Cells
Enrichment and Identification of Fecal RNA Viromes
Sequencing libraries construction and sequencing method were identical as DNA virome. The bioinformatics analyses were similar as mentioned above. Specifically, Blast software (v2.9.0 +) was used to compare the unique contig with virus database, if the alignment similarity was ≥ 80%, the alignment length was ≥ 500 bp, and e ≤ 1e-5 was defined as virus sequence; if the alignment length was ≥ 100 bp, and e ≤ 1e-5 was defined as suspected virus sequence. The candidate viruses sequences were queried against the NCBI reference genomes using BWA-MEM, NT database using MegaBLAST (e-value cutoff 1E-10), BLASTn (e-value cutoff 1E-10), and NCBI NR database using BLASTx (e-value cutoff 1E-3). Sequences with significant hits were classified as novel viruses based on the taxonomy identity of the best BLAST hit [40 (link), 41 (link)]. Parts of the viruses’ contigs, such as Rotavirus, Gammacoronavirus and Deltacoronavirus were aligned using Blast software to compare their similarity with other references. MEGA 6.0 software was used to build the phylogenetic tree using N-J methods with 1000 bootstraps.
Viral Genome Sequencing and Analysis
Sequencing libraries were generated using NEB Next® Ultra™ DNA Library Prep Kit (New England Biolabs, MA, United States) following the manufacturer’s recommendations and index codes were added. The library quality was assessed using the Qubit® dsDNA HS Assay Kit (Life Technologies, Grand Island, NY) and Agilent 4200 system (Agilent, Santa Clara, CA). The libraries were sequenced on an Illumina NovaSeq 6000 and 150 bp paired-end reads were generated. The raw data in this study have been deposited in the GenBank Sequence Read Archive database. The accession number is PRJNA797730.
The raw data processing with SOAPnuke (v1.5.6; Chen et al., 2018 (link)) were conducted to acquire the clean data for subsequent analysis. To remove the host sequence, clean reads were compared with the ribosome database (Silva.132) and host reference genome of Pacific white shrimp (NCBI Project ID: PRJNA438564; Zhang et al., 2019 (link)), respectively, with Burrows-Wheeler Aligner (BWA) software (v0.7.17, parameter: mem –k 30; Li and Durbin, 2009 (link)). The results that comparison length was less than 80% of the length of reads would be filtered, and then removed the host sequence (Li and Durbin, 2009 (link)).
Whole Transcriptome Amplification and Sequencing of Dengue Virus
The raw sequencing data were first filtered using Soapnuke (
Transcriptional Profiling of Corneal Immune Cells
Viral Metagenomic Sequencing from Fecal Samples
RNA Extraction and Sequencing from Mosquito Pools
WTA/WGA Amplification for SARS-CoV-2 and HPV
Panvirus Microarray Screening of Tick RNA Viromes
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