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Normal goat serum (ngs)

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NGS, or Next-Generation Sequencing, is a highly efficient and accurate method for analyzing DNA and RNA sequences. The core function of NGS is to rapidly generate large volumes of sequence data by parallelizing the sequencing process, allowing for the simultaneous analysis of multiple DNA or RNA fragments.

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26 protocols using normal goat serum (ngs)

1

Genomic Analysis of Colistin-Resistant Acinetobacter

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Colistin-resistant Acinetobacter spp. isolates were subjected to NGS (Macrogen, Korea), and the genome sequences of these strains were obtained using the Illumina HiSeqXten platform (USA). The acquired antimicrobial resistant gene and plasmid replicon typing were identified in silico using ResFinder 3.2 and the PlasmidFinder 2.1 webserver (https://cge.cbs.dtu.dk, accessed June 24, 2020), respectively [11 (link), 12 (link)]. The genome was annotated using RAST (http://rast.theseed.org/) to analyze the genetic environment of mcr [13 (link)]. BLAST was used to align the genetic sequences flanking mcr (www.ncbi.nlm.nih.gov/BLASTih.gov/BL). The results were visualized using SnapGene (GSL Biotech; available at SnapGene.com). ISfinder was used to check the presence and type of the insertion sequence in a contig (database URL, http://www-is.biotoul.fr) [14 (link)].
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2

Indomethacin Modulates Transcriptome in C4-2B MDVR Cells

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C4–2B MDVR cells were treated with vehicle or the AKR1C3 inhibitor indomethacin for 24 h before RNA extraction. RNA-seq libraries from 1 μg total RNA were prepared using Illumina Tru-Seq RNA Sample, according to the manufacturer’s instructions. mRNA-Seq paired-end library was prepared through Illumina NGS on HiSeq 4000: 2 ×150 cycles/bases (150bp, PE). Around 30M reads/sample were generated. Data analysis was performed with a Top Hat-Cufflinks pipeline and sequence read mapping/alignment using HISAT. StringTie Data was mapped to and quantified for 60,658 unique genes/transcripts Gene and transcript expression is quantified as FPKM (Fragments Per Kilobase of transcript per Million mapped reads). Principal Component Analysis (PCA) was conducted on the FPKM gene-level data for all genes/transcripts passing filter (Filtered on Expression > 0.1) in the Raw Data. The genes regulated by indomethacin treatment were clustered with Hierarchical Clustering algorithm by StrandNGS software. The RNA sequence data in the present study have been deposited in Gene Expression Omnibus (GEO) with the accession number GSE129596.
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3

Cxcr4 CRISPR Editing in MLL-AF9 Leukemia

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Cas9+dsRed+MLL-AF9 leukemia cells were transduced with lentiviral Cxcr4 sgRNA vectors coexpressing GFP and cultured for 3 days. Sorting of GFP+ cells was performed by flow cytometry followed by genomic DNA isolation. The binding regions of Cxcr4 sgRNA_a and Cxcr4 sgRNA_b were PCR amplified using the primer pairs 5′TCCACAGGCTATCGGGGTAA3′, 5′GTGACGTTGTCTGTCCCTGT3′ and 5′ATCTGTGACCGCCTTTACCC3′, 5′TCCTGCCTAGACACTCATTCAC3′, followed by amplicon tagmentation prior to NGS (Illumina). CRISPR-mediated DNA editing was quantified using the bioinformatics tool TIGERq (TIGERq, Lund, Sweden).
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4

Comparative Genomic Analysis of Rhizobium Strains

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Genome sequencing was performed by MicrobesNG (Birmingham) by Illumina NGS with a coverage of 30%. The reads were trimmed using Trimmomatic (Bolger et al., 2014 (link)) and de novo assembly was performed using SPAdes 3.7 (Bankevich et al., 2012 (link)). Annotation was undertaken using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP) v4.10 (Tatusova et al., 2016 (link)).
Average Nucleotide Identity (ANI) using MUMmer (Delcher et al., 2003 (link)) as the alignment algorithm (ANIm) or BLAST (ANIb) was calculated using the JSpeciesWS package (Richter and Rosselló-Móra, 2009 (link)). Pairwise comparisons were made between the genome sequences of the strains Re CFN42T (accessions CP000133.1–CP000138.1, U80928.5), Rp ATCC 14482T (accessions RJJV01000001–RJJV01000081) and Rlv UPM791 (accessions CP025505.1–CP025510.1) using a custom BLAST database on Geneious 10.0.9 (Biomatters). Clusters of orthologous groups (COGs) of proteins were predicted using the WebMGA server (Wu et al., 2011 (link)) and KAAS (KEGG Automatic Annotation Server) for the functional annotation of genes (Moriya et al., 2007 (link)). BLAST Ring Image Generator (BRIG) software was used to display circular genome comparisons (Alikhan et al., 2011 (link)).
The draft of this whole-genome shotgun project has been deposited in GenBank under the provisional accession no WNKD00000000.
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5

RNA-seq Analysis of JG98 Treated C4-2B Cells

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RNA was extracted from C4–2B MDVR cells treated with 2.5 and 5 μM JG98 for 24 h. RNA-seq libraries from 1 μg of total RNA were prepared using the Illumina Tru-Seq RNA Sample according to the manufacturer’s instructions. The mRNA-Seq paired-end library was prepared using Illumina NGS on a HiSeq 4000:2 × 150 cycles/bases (150 bp, PE). Around 30 M of reads/sample were obtained. Data analysis was performed using a Top Hat-Cufflinks pipeline and sequence read mapping/alignment was performed using HISAT. StringTie Data were mapped and quantified for 27,044 unique genes/transcripts. Gene and transcript expression was quantified as FPKM (Fragments Per Kilobase of transcript per million mapped reads). Principal Component Analysis (PCA) was conducted on the FPKM gene-level data for all genes/transcripts that passed the filter (Filtered on Expression > 1, ∣ log2 ((FKPM1 +0.1)/(DMSO+0.1),2) ∣ > 0.25, and kept 0→values and values→0) in the Raw Data. The genes commonly regulated by JG98 treatments were clustered with the Hierarchical Clustering algorithm using the R.
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6

Cxcr4 CRISPR Editing in MLL-AF9 Leukemia

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Cas9+dsRed+MLL-AF9 leukemia cells were transduced with lentiviral Cxcr4 sgRNA vectors coexpressing GFP and cultured for 3 days. Sorting of GFP+ cells was performed by flow cytometry followed by genomic DNA isolation. The binding regions of Cxcr4 sgRNA_a and Cxcr4 sgRNA_b were PCR amplified using the primer pairs 5′TCCACAGGCTATCGGGGTAA3′, 5′GTGACGTTGTCTGTCCCTGT3′ and 5′ATCTGTGACCGCCTTTACCC3′, 5′TCCTGCCTAGACACTCATTCAC3′, followed by amplicon tagmentation prior to NGS (Illumina). CRISPR-mediated DNA editing was quantified using the bioinformatics tool TIGERq (TIGERq, Lund, Sweden).
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7

Targeted NGS Profiling of Tumor DNA

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Tumor DNA extracted from fresh-frozen biopsies and matched leukocyte germline DNA were subjected to targeted Illumina NGS by 2 × 100 paired-end reads of an 83-gene panel and analyzed using the Genome Modeling System as described by Griffith and colleagues (32 (link)–34 (link)). Somatic variants detected and passing manual review, including single-nucleotide variants, small insertions and deletions, and structural variants, were visualized using a mutation waterfall plot. Somatic mutations were displayed using the bioconductor package GenVisR (1.4.4; ref. 35 (link)).
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8

Comprehensive Chromosomal Screening by NGS

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Reserved MDA products were reanalyzed by NGS (Illumina) for comprehensive chromosomal screening. The span between MDA and reanalysis by NGS was within 3 years. Karyotype profiles were scored independently by two analysts using MiSeq Reporter software (Illumina), which depicts the copy number variation (CNV) for each chromosome in a sample. CNV values less than 1.20 or greater than 2.80 were labeled monosomy or trisomy; CNV values between 1.80 and 2.20 were considered euploid; and aneuploidies with CNV values between 1.20 and 1.80 or between 2.20 and 2.80 were considered mosaicism. Chaotic embryos were defined as those showing a complex pattern of aneuploidies involving more than six chromosomes [18 (link)]. Genomic referrence for sequence alignment is hg19. All personnel analyzing the biopsies were blinded to the clinical outcomes.
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9

Comparative Analysis of SARS-CoV-2 Delta and Omicron Variants

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We also retrieved the SARS-CoV-2 VOC Delta sequences obtained from Bangladesh to compare their evolutionary pattern with that of Omicron. In total, we obtained 2,811 high-quality genomes of SARS-CoV-2 Delta from Bangladesh, of which 1,437 were sequenced via Illumina next-generation sequencing. Following quality control of the sequences and removal of redundant sequences as described previously, we selected 442 unique and clean sequences of the S gene from SARS-CoV-2 Delta found in Bangladesh. The selected sequences were subjected to codon-based alignment and analyzed via codon-substitution models. Furthermore, we also compiled all the SARS-CoV-2 Omicron genomes reported from West Bengal, India. In total, 6,506 SARS-CoV-2 Omicron sequences have been reported from West Bengal, India, sequenced via Illumina NGS. Sc2rf software identified 227 of these SARS-CoV-2 Omicron genomes as potential recombinants and, thus, were removed from the analysis. After quality control and duplicate removal, we found 460 clean and unique sequences of the S gene isolated from SARS-CoV-2 Omicron found in West Bengal, India.
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10

RNA-seq Analysis of JG98 Treated C4-2B Cells

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RNA was extracted from C4–2B MDVR cells treated with 2.5 and 5 μM JG98 for 24 h. RNA-seq libraries from 1 μg of total RNA were prepared using the Illumina Tru-Seq RNA Sample according to the manufacturer’s instructions. The mRNA-Seq paired-end library was prepared using Illumina NGS on a HiSeq 4000:2 × 150 cycles/bases (150 bp, PE). Around 30 M of reads/sample were obtained. Data analysis was performed using a Top Hat-Cufflinks pipeline and sequence read mapping/alignment was performed using HISAT. StringTie Data were mapped and quantified for 27,044 unique genes/transcripts. Gene and transcript expression was quantified as FPKM (Fragments Per Kilobase of transcript per million mapped reads). Principal Component Analysis (PCA) was conducted on the FPKM gene-level data for all genes/transcripts that passed the filter (Filtered on Expression > 1, ∣ log2 ((FKPM1 +0.1)/(DMSO+0.1),2) ∣ > 0.25, and kept 0→values and values→0) in the Raw Data. The genes commonly regulated by JG98 treatments were clustered with the Hierarchical Clustering algorithm using the R.
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