ChIP-sequencing fragment coverage
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ABSTRACT:
PROVIDER: EGAD00010001671 | EGA |
REPOSITORIES: EGA
Similar Datasets
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.
2019-05-03 | E-MTAB-7803 | biostudies-arrayexpress
Project description:Purpose : Identification of the regulons directly and indirectly affected by the main regulators of flagellation in Shewanella putrefaciens CN-32 Methods : mRNA profiles were generated for Shewanella putrefaciens CN-32 samples by deep sequencing. The removal of ribosomal RNA was performed using the Ribo-Zero Bacteria Kit (Illumina) and cDNA libraries were generated with the ScriptSeq v2 Kit (Illumina) . The samples were sequenced in single end mode on an Illumina HiSeq 2500 device and mRNA reads were trimmed using the tool ‘cutadapt’ (version 3.5) with default settings and mapped to the NC_009438.1 (Shewanella putrefaciens CN-32) reference genome from NCBI using ‘bowtie2’ (version 2.3.5.1) with default settings for single-end sequencing.
2022-12-21 | GSE207531 | GEO
Project description:Four sorted human thymic subpopulations (CD34+1a-7+, CD34+1a+, EC, LC) from two donors were used for ATAC-Seq. Samples were sequenced in house in single-end 75nt mode using the NextSeq® 500/550 (Illumina) according to manufacturer’s instructions. Reads were trimmed with sickle and aligned with bowtie2 using default settings. Aligned reads from tCD34+1a-7+ and tCD34+1a+ populations from the two donors were merged to generate the tCD34 ATAC sample.
2020-07-09 | GSE137640 | GEO
Project description:Purpose: Conditional knockout of Zfp36l1 Zfp36l2 early in lymphocyte development leads to a bypass of beta-selection and subsequently T cell acute lymphoblastic leukemia. This RNA seq experiment aimed to determine the molecular pathways affected by loss of Zfp36l1 and Zfp36l2, and to deduce direct targets of these RNA binding proteins. Methods: RNA was isolated from sorted Zfp36l1fl/fl; Zfp36l2fl/fl DN3a (Lineage-negative, CD44-, Kitlow, CD25+, CD98low) and DN3b (Lineage-negative, CD44-, Kitlow, CD25intermediate, CD98+) cells as well as Zfp36l1fl/fl; Zfp36l2fl/fl; CD2cre DN3 (Lineage-negative, CD44-, Kitlow, CD25+) cells with the RNeasy Micro Kit (Qiagen). RNAseq libraries were prepared from 20-200ng RNA using the TruSeq Stranded Total RNA and rRNA Removal Mix â?? Gold from Illumina. Libraries were sequenced by Hiseq in 100bp single-end reads. The reads were trimmed to remove adapter sequences using Trim Galore then mapped using Tophat (version 2.0.12) to the GRCm38 mouse assembly; reads with an identical sequence to more than one genomic locus were not mapped. Quality control analysis was carried out with FastQC. Reads were counted using htseq-count tool and mouse gtf file version 78. Results: Differences in the abundance of transcripts between DCKO and control samples were calculated in the R/Bioconductor program DESeq2 (version 1.6.3). Adjusted P values for differential expression were calculated in DESeq2 using a Benjamini-Hochberg correction: genes with an adjusted p-value of less than 5% were considered significant. Differentially expressed mouse transcripts identified using DESeq2 were analyzed for gene set enrichment using Toppfun. Conclusions: We identified an enrichment of mRNAs involved in cell cycle progression within Zfp36l1 Zfp36l2 double conditional knockouts. 4 biological replicates of control DN3a, control DN3b and DCKO DN3-like cells were analyzed
2016-09-05 | E-GEOD-79174 | biostudies-arrayexpress
Project description:ChIP-seq experiments: fastq files; both ChIP and Input for each sample. Illumina HiSeq 2500. ChIP-seq alignment files for trimmed, mapping q20 and nonredundant reads; both ChIP and Input for each sample. Software: Trim Galore v0.3.7; Bowtie 2 v2.1.0; samtools v1.7
| EGAD00001006279 | EGA
Project description:Levodopa-induced dyskinesia (LID) is a persistent behavioral sensitization that develops after repeated levodopa (L-DOPA) exposure in Parkinson disease (PD) patients. we used reduced representation bisulfite sequencing to determine the methylation status of cytosines genome wide at base pair resolution following a parkinsonian-like lesion and LID development. Due to the enrichment of RRBS, we focused our analysis to cytosines in a CpG context and observed extensive locus-specific changes in DNA methylation, including a preponderance of demethylation, in the dorsal striatum following the development of dyskinetic behaviors in our animal model system. Changes in DNA methylation were concentrated in putative regulatory regions of many genes known to be aberrantly transcribed following L-DOPA exposure and enriched for genes relevant to mechanisms of synaptic plasticity. In the areas of the genome exhibiting the highest levels of effect, the magnitudes of change to methylation were strongly correlated with dyskinetic behaviors. Rats were given a unilateral dopaminergic lesion to the left medial forebrain bundle with 6-OHDA to destroy at least 90% of TH positive axons. Animals were allowed to recover for 3 weeks and then given daily injections of L-DOPA (6 mg/kg) for seven days to establish stable dyskinesia. Animals were sacked 3 hrs following the final L-DOPA injection and the dorsal striatum was immediately dissected and flash frozen. Striatal tissue samples were processed for nucleic acid isolation using the AllPrep DNA/RNA Mini Kit (Qiagen) following the manufacturer's instructions. One μg of gDNA sample was used for library construction. Bisulfite converted DNA libraries were produced and adaptor ligated, and single-end reads were sequenced on an Illumina HiSeq-2500 following library QC. Bisulfite conversion efficiency was greater that 98% for all of the samples and we obtained an average of 68 million reads per library. Quality control on raw reads was performed with FastQC (version 0.10.1, http://www.bioinformatics.bbsrc.ac.uk/projects/fastqc), and adaptor trimming and removal of trimmed reads shorter than 20 bp was performed with Trim Galore (version 0.3.7, http://www.bioinformatics.babraham.ac.uk/projects/trim_galore). Trimmed reads were mapped to the UCSC Rattus norvegicus rn5 genome with the methylation-aware mapper bismark (version 0.13.0). Samtools (version 0.1.19â??96b5f2294a) was used to sort SAM files produced by bismark and de-duplicate reads. SAM files were analyzed using MethylKit (version 0.9.2) in R (Akalin et al., 2012). Reads were filtered based on coverage, with a cutoff of at least ten reads per site, and normalized for each samples coverage before analysis. The genome was tiled at 250 bp and regions were counted if they contained at least 2 identified CpGs per tile. Differential methylation was defined as a sliding linear model correct p-value of <0.01 and, for highly dynamic regions, included at least a 5% change.
2016-06-16 | E-GEOD-83385 | biostudies-arrayexpress
Project description:The goal of this study is to perform RNAseq in different sub-types of the zebrafish embryonic dorsal aorta (DA) at 28-30 hpf using TgBAC(runx1P2:Citrine);Tg(kdrl:mCherry) double-transgenic zebrafish embryos. A min. of 3000 cells per population were collected via FACS. RNA was isolated with the RNeasy Plus Micro Kit (QIAGEN, Cat No. 74034). High quality RNA (RIN > 8.0) was sent for RNAseq to the Wellcome Trust Centre for Human Genetics (WTCHG). 2.2 ng of total RNA was used to generate SMARTer libraries for low-input RNA. Sequencing was performed on an Illumina HiSeq4000 machine with a 75 bp paired end protocol. Sequenced reads were checked for base qualities, trimmed where 20% of the bases were below quality score 20, and filtered to exclude adapters using Trimmomatic (Version 0.32). Sequences were aligned to the Zebrafish Genome Zv10 with STAR with default parameters. Aligned read features were counted using Subread tool: featureCounts method (version 1.4.5-p1). To determine number of mapped reads we used the trimmed data. The alignment has been performed using STAR with default parameters. The number of mapped reads (QC-passed reads count) has been obtain using Samtools mapping statistics (flagstat tool).
2019-06-06 | GSE132259 | GEO
Project description:Purpose: Conditional knockout of Zfp36l1 Zfp36l2 early in lymphocyte development leads to a bypass of beta-selection and subsequently T cell acute lymphoblastic leukemia. This RNA seq experiment aimed to determine the molecular pathways affected by loss of Zfp36l1 and Zfp36l2, and to deduce direct targets of these RNA binding proteins. Methods: RNA was isolated from sorted Zfp36l1fl/fl; Zfp36l2fl/fl DN3a (Lineage-negative, CD44-, Kitlow, CD25+, CD98low) and DN3b (Lineage-negative, CD44-, Kitlow, CD25intermediate, CD98+) cells as well as Zfp36l1fl/fl; Zfp36l2fl/fl; CD2cre DN3 (Lineage-negative, CD44-, Kitlow, CD25+) cells with the RNeasy Micro Kit (Qiagen). RNAseq libraries were prepared from 20-200ng RNA using the TruSeq Stranded Total RNA and rRNA Removal Mix – Gold from Illumina. Libraries were sequenced by Hiseq in 100bp single-end reads. The reads were trimmed to remove adapter sequences using Trim Galore then mapped using Tophat (version 2.0.12) to the GRCm38 mouse assembly; reads with an identical sequence to more than one genomic locus were not mapped. Quality control analysis was carried out with FastQC. Reads were counted using htseq-count tool and mouse gtf file version 78. Results: Differences in the abundance of transcripts between DCKO and control samples were calculated in the R/Bioconductor program DESeq2 (version 1.6.3). Adjusted P values for differential expression were calculated in DESeq2 using a Benjamini-Hochberg correction: genes with an adjusted p-value of less than 5% were considered significant. Differentially expressed mouse transcripts identified using DESeq2 were analyzed for gene set enrichment using Toppfun. Conclusions: We identified an enrichment of mRNAs involved in cell cycle progression within Zfp36l1 Zfp36l2 double conditional knockouts.
2016-09-05 | GSE79174 | GEO
Project description:Purpose: Conditional knockout of Zfp36l1 Zfp36l2 in pro-B cells perturbs B cell development leading to reduced V(D)J recombination and diminished numbers of cells in successive stages of development. This RNA seq experiment aimed to determine the molecular pathways affected by loss of Zfp36l1 and Zfp36l2, and to deduce direct targets of these RNA binding proteins. Methods: RNAseq libraries were prepared from 0.1 µg of RNA from sorted control and DCKO late pre-B cells using TruSeq RNA sample preparation kit v2 modified to be strand specific using the dUTP method. Libraries were sequenced by an Illumina genome analyzer II measuring 54bp single-end reads. Over 30 million reads were measured from each sample. The reads were trimmed to remove adapter sequences using Trim Galore then mapped using Tophat (version 1.1.4) to the NCBIm37 mouse assembly (April 2007, strain C57BL/6J); reads with an identical sequence to more than one genomic locus were not mapped. Quality control analysis was carried out with FastQC. Results: Read counts for each gene were generated in SeqMonk: transcripts from the same gene were collapsed into a single transcript containing all exons, so total reads were counted without considering alternative splice forms. Since the libraries were strand-specific only reads on the opposing strand were counted. Differences in the abundance of transcripts between DCKO and control late pre-B cells were calculated in the R/Bioconductor program DESeq (version 1.12.1). Adjusted P values for differential expression were calculated in DESeq using a Benjamini-Hochberg correction: genes with an adjusted p-value of less than 5% were considered significant. Differentially expressed mouse transcripts identified using DESeq were analyzed for gene set enrichment using Toppfun. Conclusions: We identified an enrichment of mRNAs involved in cell cycle progression within Zfp36l1 Zfp36l2 double conditional knockouts.
2016-04-21 | GSE78240 | GEO
Project description:Placental biopsies (n = 64 female placentas, n = 67 male placentas) were selected from healthy pregnancies from the POPs cohort. A quality control process was also applied for the RNA-Seq datasets: reads were trimmed with Trim Galore!, which uses cutadapt internally and were mapped to the same version of human genome reference (hg19). TopHat2, a splice-aware mapper built on top of Bowtie2 short-read aligner, was used in the mapping process in which so-called two-pass (or two-scan) alignment protocol was applied to rescue unmapped reads from the initial mapping step. In the second mapping, previously unmapped reads were re-aligned to the exon-intron junctions detected in the first-mapping by TopHat2 and were combined across all 131 placenta samples. The initial and second mapped reads were merged by samtools
| EGAD00001003462 | EGA