Project description:Evaluation of modulation of the innate immune response during H1N1 infection. The modulatory effect of Single-stranded oligonucleotides (ssON) on monocyte-derived dendritic cells (MoDCs) are evaluated. RNAseq data are used to study the effect on the transcriptome of MoDCs, during infection with simultaneous addition of ssON. Further mechanistic information are added via RNAseq data on poly I:C stimulated MoDCs (Toll-Like Receptor 3 agonist). Control samples are included to perform differential expression analysis. Provided are the fastq files, obtained in the following manner: The RNA sequencing was performed with the TruSeq RiboZero kit from Illumina, 25 M reads per sample and 2x125bp. Read quality were assessed using FastQC (Version 0.11.5) Trim Galore (Version 0.3.6) was used for adapter removal and quality trimming with a quality threshold of 20 on the Phred scale. Count files was created out of the trimmed fastq by mapping high-quality reads to Homo sapiens UCSC hg38 (GRCh38.77) reference genome using STAR aligner (version 2.5) with default values and the parameter out Reads Unmapped set to Fastx in order to extract the unmapped reads. After STAR alignment, the count data for the aligned reads were generated with HTSeq-count (version 0.6.1). The-m parameter was set to union.
Project description:Genomic DNA from 239 Col x Di-G F2 individuals was extracted using CTAB and used to generate sequencing libraries as described (Rowan et al; Yelina et al), with the following modifications. DNA was extracted from 3 rosette leaves of 5 week old plants and 150 ng of DNA used as input for each library. DNA shearing was carried out for 20 minutes at 37°C with 0.4U of DNA Shearase (Zymo research). Each set of 96 libraries was sequenced on one lane of an Illumina NextSeq500 instrument (300-cycle Mid Output run). The barcoded adapter sequences were trimmed and bases with quality lower than 19 were filtered using Cutadapt. Sequencing data was analysed to identify crossovers as previously reported, using the TIGER pipeline.
Project description:Purpose: The goal of this study is to compare NGS-derived transcriptomes of wild type mouse small interstinal organoids and organoids deficient for the enzyme acetyl-coa-carboxylase (ACC) 1 (Acaca). Methods: mRNA profiles were generated from organoids at 24h and 96h upon in vitro deletion of the Acaca gene and the respective non-deleted wild type controls in triplicates. Total RNA was isolated using RNeasy Micro Kit (Qiagen) and libraries were prepared using NEBNext Single Cell/Low Input RNA Library Prep (New England BioLabs). The libraries were sequenced on Illumina NovaSeq 6000 using NovaSeq 6000 S2 Reagent Kit (100 cycles, paired end run). Each FASTQ file gets a quality report generated by FASTQC tool. Before alignment to reference genome each sequence in the raw FASTQ files were trimmed on base call quality and sequencing adapter contamination using Trim Galore! wrapper tool. Reads shorter than 20 bp were removed from FASTQ file. Trimmed reads were aligned to the reference genome (GRCm38.) using open source short read aligner STAR (https://code.google.com/p/rna-star/) with settings according to log file. Results: the sequencing depth of our libraries is > 3 x107 reads per RNA sample. PCA analysis revealed a close relationship between WT and ACC1-deficient organoids at 24h, whereas samples at 96h were distinct from each other. Lack of ACC1 strongly reduced the expression of genes associated with intestinal epitelial stem cells. Moreover, GSEA revealed downregulation of pathways associated with DNA replication, cell cycle and chromosome segregation in ACC1-deficient organoids. Conclusions: Our study highlights the importance of ACC1-mediated cellular fatty acid synthesis for the maintenance of intestinal epithelial stem cells in mouse intestinal oganoids.
Project description:shRNA was used to knock down SLC2A10 VSMCs. The effectiveness of gene interference was tested by qPCR. Transcriptome sequencing was performed and FASTQ files from RNA- seq experiments were clipped and trimmed. KEGG enrichment analysis on differently expressed genes was performed.
Project description:We perform 10X Genomics scRNA-Seq on P2, P21, P2 + 7 days post wound, P21 + 7 days post wound, with 3 bioreplicates for each condition. Fastq files and output folders were generated from Cellranger pipeline. Loom files were generated using Velocyto.py for downstream analysis. Chemistry: V2
Project description:Purpose: The goals of this study are to compare NGS-derived pDC transcriptome profiling (RNA-seq) normalized counts and differential expression of genes between different pDC states (steady state, or TLR9 activated for 2h, 6h, or 12h with CpG) in Batf presence and absence. Methods: mRNA profiles of Bone marrow-derived Flt3-L cultured FACS purified pDCs from wild-type and Batf-knock out mice that were left naive or stimulated with TLR9 agonist CpG for 2h, 6h r 12h were generated by deep sequencing, in triplicate, using the Illumina HiSeq3000 platform. DNase digested total RNA samples used for transcriptome analyses were quantified (Qubit RNA HS Assay, Thermo Fisher Scientific) and quality measured by capillary electrophoresis using the Fragment Analyzer and the ‘Total RNA Standard Sensitivity Assay’ (Agilent Technologies, Inc. Santa Clara, USA). All samples in this study showed high quality RNA Quality Numbers (RQN; mean = 9.9). The library preparation was performed according to the manufacturer’s protocol using the Illumina® ‘TruSeq Stranded mRNA Library Prep Kit’. Briefly, 200 ng total RNA were used for mRNA capturing, fragmentation, the synthesis of cDNA, adapter ligation and library amplification. Bead purified libraries were normalized and finally sequenced on the HiSeq 3000/4000 system (Illumina Inc. San Diego, USA) with a read setup of SR 1x150 bp. The bcl2fastq tool was used to convert the bcl files to fastq files as well for adapter trimming and demultiplexing. Results: Data analyses on fastq files were conducted with CLC Genomics Workbench (version 11.0.1, QIAGEN, Venlo. NL). The reads of all probes were adapter trimmed (Illumina TruSeq) and quality trimmed (using the default parameters: bases below Q13 were trimmed from the end of the reads, ambiguous nucleotides maximal 2). Mapping was done against the Mus musculus (mm10; GRCm38.86) (March 24, 2017) genome sequence. After grouping of samples (three biological replicates each) according to their respective experimental condition, multi-group comparisons were made and statistically determined using edgeR on usegalaxy.org The Resulting pvalues were corrected for multiple testing by FDR. A pvalue of ≤0.05 was considered significant. Conclusions: Our study represents the first detailed analysis of Batf-dependent gene expression in naive and activated pDC transcriptomes in a longitduinal study. Our results show that Batf absence significantly altered the global gene expression patterns in pDCs, modulating many biological pathways important for cell development and effector function.
Project description:Purpose: The goals of this study are to compare NGS-derived pDC transcriptome profiling (RNA-seq) normalized counts and differential expression of genes between different pDC states (steady state, or TLR9 activated for 2h, 6h, or 12h with CpG) in Batf presence and absence. Methods: mRNA profiles of Bone marrow-derived Flt3-L cultured FACS purified pDCs from wild-type and Batf-knockout mice that were left naive or stimulated with TLR9 agonist CpG for 2h, 6h r 12h were generated by deep sequencing, in triplicate, using the Illumina HiSeq3000 platform. DNase digested total RNA samples used for transcriptome analyses were quantified (Qubit RNA HS Assay, Thermo Fisher Scientific) and quality measured by capillary electrophoresis using the Fragment Analyzer and the ‘Total RNA Standard Sensitivity Assay’ (Agilent Technologies, Inc. Santa Clara, USA). All samples in this study showed high quality RNA Quality Numbers (RQN; mean = 9.9). The library preparation was performed according to the manufacturer’s protocol using the Illumina® ‘TruSeq Stranded mRNA Library Prep Kit’. Briefly, 200 ng total RNA were used for mRNA capturing, fragmentation, the synthesis of cDNA, adapter ligation and library amplification. Bead purified libraries were normalized and finally sequenced on the HiSeq 3000/4000 system (Illumina Inc. San Diego, USA) with a read setup of SR 1x150 bp. The bcl2fastq tool was used to convert the bcl files to fastq files as well for adapter trimming and demultiplexing. Results: Data analyses on fastq files were conducted with CLC Genomics Workbench (version 11.0.1, QIAGEN, Venlo. NL). The reads of all probes were adapter trimmed (Illumina TruSeq) and quality trimmed (using the default parameters: bases below Q13 were trimmed from the end of the reads, ambiguous nucleotides maximal 2). Mapping was done against the Mus musculus (mm10; GRCm38.86) (March 24, 2017) genome sequence. After grouping of samples (three biological replicates each) according to their respective experimental condition, multi-group comparisons were made and statistically determined using edgeR on usegalaxy.org The Resulting values were corrected for multiple testing by FDR. A value of ≤0.05 was considered significant. Conclusions: Our study represents the first detailed analysis of Batf-dependent gene expression in naive and activated pDC transcriptomes in a longitduinal study. Our results show that Batf absence significantly altered the global gene expression patterns in pDCs, modulating many biological pathways important for cell development and effector function.