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8 protocols using dragen bio it

1

Oleic Acid Exposure Regulates PLIN2 in RPTECs

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Human primary RPTECs were harvested at five different conditions for bulk RNA-seq with three biological replicates per group: (1) siNT treatment (control); (2) siNT and 6-hour 100 μM oleic acid exposure (siNT+Ole6hrs); (3) PLIN2 siRNA treatment and 6-hour 100 μM oleic acid exposure (siPLIN2+Ole6hrs), (4) siNT and 2-day normal medium exposure after 6-hour 100 μM oleic acid exposure (siNT+Ole6hrs+2d); and (5) siPLIN2+Ole6hrs+2d. RNA was extracted with RNeasy Kits (74104, Qiagen) following the manufacturer’s instruction. Libraries were generated with the poly-A selection method (mRNA Direct kit, Life Technologies) and sequenced with the NovaSeq 6000 S4 platform (2×150 bp) at a target of 30 million reads per library. RNA-seq reads were aligned and quantitated to the human reference genome Ensembl GRCh38.101 with an Illumina DRAGEN Bio-IT on-premise server running version 3.9.3–8 software. Differential expression analysis was performed with the exactTest function of edgeR v3.34.1 (Robinson et al., 2010 (link)). Genes with FDR < 0.01 were processed for GO enrichment analysis.
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2

Genetic Variants in IFN Pathway Genes

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We studied SNPs in the following IFN pathway genes in which gain-of-function properties in humans have been previously documented4 (link)
,5 (link)
,8 (link), 9 (link), 10 (link), 11 (link), 12 (link), 13 (link), 14 : IRF5 - rs2004640, rs3807306, rs10488631, rs2280714; IRF7 - rs702966, rs4963128, rs1131665; IRF8 - rs17445836, rs12444486; STAT4 - rs7574865; PRKG1 rs7897633, and IFIH1 - rs1990760. We used a low coverage whole genome sequencing strategy in this study.15 (link) After quality control, all samples were sequenced together using the Illumina DRAGEN Bio-IT (equivalent to GATK best practices), part of Illumina Novaseq 6000 system with target sequencing of ∼1x coverage, and low coverage data were used to impute all common (minor allele frequency >1%) human polymorphism genotypes for each sample, using Gencove loimpute software v0.18, Human low-coverage GRCh38 (beta) pipeline (https://docs.gencove.com/main/data-analysis-configurations/#human). The imputation reference population was from the 1000 Genomes Phase 3 data sets. We selected the above SNPs from this larger dataset for analysis in this study.
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3

Transcriptional Profiling of Neurodegeneration

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RNA from sham control, optic nerve crush, and TBI mice was isolated and sequenced on an Illumina HiSeq platform. RNA-seq reads were then aligned and quantitated to the Ensembl release 101 primary assembly with an Illumina DRAGEN Bio-IT on-premise server running version 3.9.3-8 software. Analyses were conducted using Partek Flow version 10.0. Bulk RNA-seq reads were qualified to annotation model mm10—Ensambl release 102 v2. All gene counts were normalized by median normalization. Differential genetic analysis was performed for differences between crush and control samples using DESeq2, excluding features with average coverage < 1. Differential genetic analysis results were filtered to include only genes with p-value ≤ 0.05 and fold change ≥ 2. Pathway analysis was then conducted using DAVID 2021, Knowledgebase v2022q4 with annotation pathways GOTERM_BP_DIRECT, GOTERM_CC_DIRECT, and GOTERM_MF_DIRECT. Excel was used to create a bar plot of the number of genes in selected pathways.
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4

Transcriptomic Analysis of HUVEC-Macrophage Crosstalk

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We plated HUVECs in the bottom compartments of 24-well transwell plates (0.4 μm pore size, Corning) along with the following in the top compartments: 1) cell-free (n = 6 wells); 2) naive BMDMs (n = 6 wells); or 3) CYR61-treated BMDMs (0.5 μg/mL, 24 h, n = 6 wells). After co-incubation for 24 h, we washed HUVECs twice with PBS, then used TRIzol (Ambion) and RNeasy Plus Mini Kit (Qiagen) to extract total RNA following the manufacturer’s recommended protocol. We quantified the quality and quantity of the RNA samples with an Agilent Bioanalyzer or 4200 Tapestation. All 18 samples had RIN ≥ 8.9. We prepared ds-cDNA using the SMARTer Ultra Low RNA kit for Illumina Sequencing (Takara-Clontech) per the manufacturer’s protocol. Then, we fragmented cDNA, blunt ended the cDNA, added an A base to the 3′ ends, and then ligated Illumina sequencing adapters to the ends. We amplified the ligated fragments and incorporated unique dual index tags. We then sequenced the fragments on an Illumina NovaSeq 6000 using paired end reads extending 150 bases at the McDonnell Genome Institute at Washington University School of Medicine in St. Louis. Reads were then aligned and quantitated to the Ensembl release 101 primary assembly with an Illumina DRAGEN Bio-IT on-premise server running version 3.9.3-8 software.
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5

RNA Sequencing with Illumina NovaSeq

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For RNA sequencing, we first removed ribosomal RNA by an RNase-H method using RiboErase kits (Kapa Biosystems). Then, we fragmented mRNA and then reverse transcribed mRNA to cDNA using SuperScript III RT enzyme (Life Technologies) and random hexamers following the manufacturer’s instructions. We performed a second strand reaction to yield ds-cDNA. Then, we blunt-ended the cDNA, added an A base to the 3′ ends, and then ligated Illumina sequencing adapters to the ends. We amplified ligated fragments and incorporated unique dual index tags. We sequenced fragments on an Illumina NovaSeq 6000 using paired end reads extending 150 bases at the McDonnell Genome Institute at Washington University School of Medicine in St. Louis. RNA sequencing reads were then aligned and quantitated to the Ensembl release 101 primary assembly with an Illumina DRAGEN Bio-IT on-premise server running version 3.9.3-8 software. We identified 1 of the 8 control samples to be an outlier and excluded it from further analyses.
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6

CYR61 Transcriptional Profiling in HUVECs

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We incubated HUVECs with recombinant human CYR61 (PeproTech Cat# 120-25) at 4 concentrations: 0.00, 0.05, 0.50, and 5.00 μg/mL for 24 h (n = 5 wells/group). After incubation, we washed cells twice with PBS, then used TRIzol (Ambion) and RNeasy Plus Mini Kit (Qiagen) to extract total RNA following the manufacturer’s recommended protocol. We quantified the quality and quantity of the RNA samples with an Agilent Bioanalyzer or 4200 Tapestation. All 20 samples had RIN ≥ 9.7. We prepared ds-cDNA using the SMARTer Ultra Low RNA kit for Illumina Sequencing (Takara-Clontech) following the manufacturer’s protocol. Then, we fragmented cDNA, blunt ended the cDNA, added an A base to the 3′ ends, and then ligated Illumina sequencing adapters to the ends. We amplified the ligated fragments and incorporated unique dual index tags. We then sequenced the fragments on an Illumina NovaSeq 6000 using paired end reads extending 150 bases at the McDonnell Genome Institute at Washington University School of Medicine in St. Louis. Sequenced reads were then aligned and quantitated to the Ensembl release 101 primary assembly with an Illumina DRAGEN Bio-IT on-premise server running version 3.9.3-8 software.
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7

RNA-seq Data Analysis Using TCC Package

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RNA-seq was performed at TaKaRa Bio. Inc. (Shiga, Japan). Read mapping on a genomic sequence was performed with DRAGEN Bio-IT software ver3.6.3 (Illumina, San Diego, CA). The count data were analyzed using the tag count comparison (TCC) R package35 (link) through TCC-Graphical User Interface36 (link). The basic algorithm of TCC was previously described37 (link).
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8

Whole-Genome Sequencing and Variant Analysis

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Genomic DNA was extracted from peripheral blood and NGS libraries were prepared with an Illumina PCR-free TruSeq DNA Library Prep Kit. Sequences were generated on an Illumina NovaSeq 6000 sequencing platform as 150 bp paired-end reads, to a final depth of 30X coverage. The FASTQs were uploaded into the Geneyx (previously TGex) Analysis platform.13 (link) Alignment and variant calling of single nucleotide variations, structural variants, CNVs and repeats were called using Illumina DRAGEN Bio-IT. The resulting VCF files were comprehensively annotated on the Geneyx Analysis annotation engine, and presented for analysis, filtering and interpretation. Variant prioritization was performed using VarElect.14 (link)
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