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Genetic heterogeneity of the Spy1336/R28 – Spy1337 virulence axis in Streptococcus pyogenes and effect on gene transcript levels and pathogenesis

ABSTRACT: Purpose: We used RNA-seq to analyze the transcriptomes of serotype M28 S. pyogenes deletion and SNP isogenic mutants strains. We discovered that changes in the number of T residues in a homopolymeric tract located upstream of the divergently transcribed Spy1336/R28 and Spy1337 genes affected global gene expression and virulence. We performed RNA-seq comparing isogenic mutants grown in vitro containing either 9 or 11Ts, and isogenic deletion mutants, deleted for gene Spy1337, and deleted for both, Spy1336 and Spy1337. Methods: We grew isogenic strains in rich media, and collected samples in triplicate at both mid-exponential (ME) and early stationary (ES) phase to perform RNA-seq analysis. Quality of the total RNA, rRNA-depleted RNA, and cDNA libraries was evaluated with RNA Nano, RNA Pico, and DNA high-sensitivity kits (Agilent Technologies, respectively, using an Agilent 2100 Bioanalyzer. For each sample, the cDNA library concentration was measured fluorometrically with Qubit™ dsDNA HS assay kits (Invitrogen). The cDNA libraries were diluted, pooled, and sequenced with an Illumina NextSeq 550 instrument

ORGANISM(S): Streptococcus pyogenes

PROVIDER: GSE145621 | GEO | 2020/04/01

REPOSITORIES: GEO

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Integrated Analysis of Population Genomics, Transcriptomics and Virulence Provides Novel Insights into Streptococcus pyogenes Pathogenesis [isogenic]

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2018-12-31 | GSE113057 | GEO

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Molecular consequences of Dlx3 deletion in mouse enamel organ as determined by RNASeq analysis

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Project description:RNA-seq was carried out as described by Simone Picelli et al. with minor modifications (Genome Res 2014;24:2033-40). Briefly, RNA was extracted from 5000 cells using a miRNeasy Micro Kits (Qiagen, German). RNA quality was assessed with an Agilent RNA 6000 Pico Kit (Agilent Technologies, cat#5067-1513, USA) on an Agilent 2100 Bioanalyzer. Each library was prepared from 2ng of total RNA. After reverse transcription, cDNA was amplified for 8 cycles followed by Agencourt AMPure XP purification, the quality of cDNA library was checked on an Agilent High Sensitivity DNA Kit (Agilent Technologies, cat#5067-4626). The cDNA was sheared to a 200-500 bp size range using the Covaris AFA system. The final library was carried out by using the NEB Next ULTRA II DNA Prep Kit, and their quality and size were checked using the Agilent High Sensitivity DNA Kit. The libraries were sequenced using a Hiseq 4000 system (Illumina, USA). At least million reads were obtained for each sample. For all RNA-seq reads, we cut the 5’ adaptor (AAGCAGTGGTATCAACGCAGAGTACAT GGG) using cutadapt (version 1.10) with the parameter –e 0.17, and then aligned to the hg19 genome using OSA (version 2.10.8). The aligned data were merged and count by Samtools (version 0.1.19+), and differentially expressed genes were found based on the edgeR with default parameters (Bioinformatics 2010;26:139-40). A gene was differentially expressed if (1) p < 0.05 (2) |log2(fold change)| > 1. For hierarchical clustering, the RPKM values of differentially expressed genes were log2-transformed and standardized. 1- Pearson correlation was then used as the distance for clustering. Differentially expressed genes were selected for GO analysis using R package clusterProfiler (Omics 2012;16:284-7).

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Project description:Purpose: The purpose of this study is to measure the changes in liver transcriptome in response to short-term fasting between 5 and 10 h where the rats were dosed with 6 ml/kg of polyethylene glycol vehicle at 0 h Methods: Total RNA was isolated from the liver, using TRIzol Reagent (Thermo Fisher Scientific, Waltham, MA) and the direct-zol RNA Mini Prep kit (Zymo Research, Irvine, CA). The isolated RNA samples were then submitted to the Vanderbilt University Medical Center VANTAGE Core (Nashville, TN) for RNA quality determination and sequencing. Total RNA quality was assessed using a 2100 Bioanalyzer (Agilent, Santa Clara, CA). At least 200 ng of DNase-treated total RNA with high RNA integrity was used to generate poly-A-enriched mRNA libraries, using KAPA Stranded mRNA sample kits with indexed adaptors (Roche, Indianapolis, IN). Library quality was assessed using the 2100 Bioanalyzer (Agilent), and libraries were quantitated using KAPA library Quantification kits (Roche). Pooled libraries were subjected to 75-bp single-end sequencing according to the manufacturer’s protocol (Illumina HiSeq3000, San Diego, CA). Results: No genes were were found to be differentially expressed with a false discovery rate less than 0.1 Conclusions: There were no significant changes in liver gene expression between 5 and 10 h of fasting

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Network Modeling of Liver Metabolism to Predict Plasma Metabolite Changes During Short-Term Fasting in the Laboratory Rat: Liver Transcriptome Changes in Study 3

Project description:Purpose: The purpose of this study is to measure the changes in liver transcriptome in response to short-term fasting between 7 and 13 h where the rats were dosed with 2 ml/kg of saline vehicle at 0 h Methods: Total RNA was isolated from the liver, using TRIzol Reagent (Thermo Fisher Scientific, Waltham, MA) and the direct-zol RNA Mini Prep kit (Zymo Research, Irvine, CA). The isolated RNA samples were then submitted to the Vanderbilt University Medical Center VANTAGE Core (Nashville, TN) for RNA quality determination and sequencing. Total RNA quality was assessed using a 2100 Bioanalyzer (Agilent, Santa Clara, CA). At least 200 ng of DNase-treated total RNA with high RNA integrity was used to generate poly-A-enriched mRNA libraries, using KAPA Stranded mRNA sample kits with indexed adaptors (Roche, Indianapolis, IN). Library quality was assessed using the 2100 Bioanalyzer (Agilent), and libraries were quantitated using KAPA library Quantification kits (Roche). Pooled libraries were subjected to 75-bp paired-end sequencing according to the manufacturer’s protocol (Illumina HiSeq3000, San Diego, CA). Results: No genes were were found to be differentially expressed with a false discovery rate less than 0.1 Conclusions: There were no significant changes in liver gene expression between 7 and 13 h of fasting

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