03c9144d-f6cc-4999-89a4-dce179d42831 - samples
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ABSTRACT:
PROVIDER: EGAD00001004991 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Paired-end RNA-seq BAM files from 21 newborn screening dried blood spot (DBS) samples. These DBS samples were obtained from extremely low gestional age newborns, where 10 of them were affected by a fetal inflammatory response (FIR) before birth, and 11 were unaffected. Total RNA was sequenced using an Illumina NextSeq-500 instrument. The sample preparation protocol included the depletion of rRNA and globin mRNA using the Globin Zero Gold rRNA Removal Kit from Illumina. Libraries were prepared using the NebNext Ultra TM II Directionl RNA LIbrary Prep Kit (New England Biolabs). There is one BAM file per sample and there is an additional BAM file, corresponding to sample BS13, which was downsampled to 1/4 of its original depth (see BS13_README file for details).
| EGAD00001005009 | EGA
Project description:Table of gene-level RNA counts from 21 newborn screening dried blood spot (DBS) samples. These DBS samples were obtained from extremely low gestional age newborns, where 10 of them were affected by a fetal inflammatory response (FIR) before birth, and 11 were unaffected. Total RNA was sequenced using an Illumina NextSeq-500 instrument. The sample preparation protocol included the depletion of rRNA and globin mRNA using the Globin Zero Gold rRNA Removal Kit from Illumina. Libraries were prepared using the NebNext Ultra TM II Directionl RNA LIbrary Prep Kit (New England Biolabs). Rows correspond to genes and columns to samples, where there is an additional column (BS13sub), corresponding to sample BS13, which was downsampled to 1/4 of its original depth.
| EGAD00010001707 | EGA
Project description:RNA extracted from whole blood of healthy controls or podoconiosis patients and subject to RNA sequencing. Total RNA libraries were prepared using the QIAseq Stranded RNA library kit with rRNA and globin RNA depleted using the QIAseq FastSelect rRNA and globin mRNA removal kit.
2024-03-14 | E-MTAB-13860 | biostudies-arrayexpress
Project description:The purpose of the experiment was to determine whole transcriptome changes after spinal cord injury (SCI) to understand how photobiomodulation promotes neuroprotection and functional recovery. SCI was performed at the thoracic (T) level T8, by crushing the dorsal columns using a calibrated watchmaker's forceps. Animals were then treated with photobiomodulation (PBM; 660nm wavelength) or sham control light, within 15 minutes of the injury. PBM or sham-treatment was treatment directed at the lesion site for 1 minute duration every 24hr for the first 3 days. Animals were then killed, tissues harvested and the RNA was extracted using RNEasy lipid tissue mini kit (Qiagen) according to the manufacture's instructions. Whole genome sequencing was outsourced to Qiagen RNA Sequencing Services (Germany).Library preparation was performed using the QIAseq Stranded Total RNA Library Kit with QIAseq FastSelect rRNA and globin depletion. QIAseq FastSelect rRNA HMR was used to reduce the amount of unwanted RNA species. After first and second strand synthesis, the cDNA was end-repaired and 3’ adenylated. Sequencing adapters were ligated to the overhangs. Adapted molecules were enriched using 16 cycles of PCR and purified by a bead-based cleanup. Library preparation was quality controlled using capillary electrophoresis (High Sensitivity Tape D1000) and high-quality libraries were pooled based on equimolar concentrations. The library pool(s) were quantified using qPCR and optimal concentration of the library pool used to generate the clusters on the surface of a flowcell before sequencing on a NovaSeq (Illumina Inc., Madison, USA) instrument (2x75, 2x10) according to the manufacturer instructions (Illumina Inc.). Raw data was de-multiplexed and FASTQ files for each sample were generated using the bcl2fastq software v2.20.0.422 (Illumina inc.).
2024-11-21 | E-MTAB-14593 | biostudies-arrayexpress
Project description:E15.5 embryos were micro-disscted from Gata4 G295S mutant mice and littermate controls, RNA was isolated using Norgen total RNA isolation, and libraries were generated with the RNA TruSeq Stranded Total RNA kit. 50 base pair paired end reads were obtained on an illumina high seq 2500. Fastq files were aligned to the mouse genome using STAR aligner. QC was performed using RNASeQC and RSeQC. BAM files were processed using cufflinks pipeline.
2019-05-17 | GSE117621 | GEO
Project description:Background: There are challenges in generating mRNA-Seq data from whole-blood derived RNA as globin gene and rRNA are frequent contaminants. Given the abundance of erythrocytes in whole blood, globin genes comprise some 80% or more of the total RNA. Therefore, depletion of globin gene RNA and rRNA are critical steps required to have adequate coverage of reads mapping to the reference transcripts and thus reduce the total cost of sequencing. In this study, we directly compared the performance of probe hybridization (GLOBINClear Kit and Globin-Zero Gold rRNA Removal Kit) and RNAse-H enzymatic depletion (NEBNext® Globin & rRNA Depletion Kit and Ribo-Zero Plus rRNA Depletion Kit) methods from 1 ug of whole blood-derived RNA on mRNA-Seq profiling. All RNA samples were treated DNaseI for additional cleanup before the depletion step and were processed for poly-A selection for library generation. Results: Probe hybridization revealed a better overall performance than the RNAse-H enzymatic depletion method, detecting a higher number of genes and transcripts without 3’ region bias. After depletion, samples treated with probe hybridization showed globin genes at 0.5% (±0.6%) of the total mapped reads; the RNAse-H enzymatic depletion had 3.2% (±3.8%). Probe hybridization showed more junction reads and transcripts compared with RNAse-H enzymatic depletion and also had a higher correlation (R>0.9) than RNAse-H enzymatic depletion (R>0.85). Conclusion: In this study, our results showed that 1 µg of high-quality RNA from whole blood could be routinely used for transcriptional profiling analysis studies with globin gene and rRNA depletion pre-processing. We also demonstrated that the probe hybridization depletion method is better suited to mRNA sequencing analysis with minimal effect on RNA quality during depletion procedures.
2020-11-30 | GSE150587 | GEO
Project description:<p>To determine IL-17-induced global transcriptome changes in midbrain neurons derived from induced pluripotent stem cells (iPSC) from three sporadic Parkinson's disease (PD) patients and three age- and sex-machted controls, deep RNA sequencing (RNA-Seq) of IL-17-treated and untreated PD and control iPSC-dderived midbrain neurons was performed. Total RNA was isolated from untreated and IL-17-treated cells with the TruSeq RNA Sample Preparation Kit v2 (Illumina). RNA libraries were quantified using the KAPA SYBR FAST ABI Prism Library Quantification Kit (Kapa Biosystems) and cluster generation was performed on the cBot with the TruSeq SR Cluster Kit v3 (Illumina). The sequencing run was performed on a HiSeq 1000 instrument (Illumina) using the indexed, 50 cycles single read (SR) protocol and the TruSeq SBS v3 Kit (Illumina). Image analysis and base calling resulted in .bcl files that were then converted into .fastQ files by the CASAVA1.8.2 software. FastQ files were aligned to the human genome (hg19) using STAR.and annotated with gencode.v19. DESeq2 was used to determine differential expression. Criteria to determine significantly dysregulated genes were as follows: adjusted p-value below 0.05 and log2FC (fold change) of greater than one. Only genes with a mean expression value of greater than one RPKM (reads per kilobase per million mapped reads) throughout the dataset were considered. Control and PD samples were analyzed as two independent datasets.</p> <p>Upon IL-17 treatment only 17 genes were found to be dysregulated in controls but 125 genes were dysregulated in iPSC-derived midbrain neurons from PD patients. The 125 IL-17-dependent genes in PD iPSC-derived neurons separated the treated from untreated PD samples using an unsupervised, hierarchical clustering applying an Euclidean distance metric.</p> <p>More detailed study information can be found in Sommer A, Maxreiter F, Krach F, Fadler T, Grosch J, Maroni M, Graef D, Eberhardt E, Riemenschneider MJ, Yeo GW, Kohl Z, Xiang W, Gage FH, Winkler J, Prots I, Winner B. Th17 Lymphocytes Induce Neuronal Cell Death in a Human iPSC-Based Model of Parkinson's Disease. Cell Stem Cell. 2018 Jul 5;23(1):123-131.e6. doi: 10.1016/j.stem.2018.06.015. PMID: 29979986</p>
| phs001686 | dbGaP
Project description:RNAseq analysis between cell types. RNA extracted using Qiagen mini total RNA isolation protocols (Qiagen, Germany). Samples were treated with DNase (Ambion), and sample integrity verified on the Agilent Bioanalyser with the RNA Nano chip. Illumina Tru-seq paired end strand specific sequencing (Illumina, USA) was carried out by on a NextSeq-550 sequencer (Edinburgh Clinical Research Facility, Western General Hospital, Edinburgh, Scotland, UK). 500ng of Total RNA underwent ribosomal RNA depletion (rRNA) prior to purification, fragmentation, random hexamer cDNA generation and purification with AMPure XP beads (Beckman-Coulter, USA). Multiple indexing adapters were ligated to ds cDNA with subsequent hybridisation onto flow cells, and DNA fragment enrichment by 15 cycle PCR for sequencing. Completed libraries were quantified by qPCR using the KAPA Illumina Library Quantification Kit (Illumina, USA) before multiplexing in two equimolar pools and running on two flow cells on the Illumina NextSeq 550. The resulting FastQ files were mapped to the reference genome (mm9) using the Tophat alignment tool (V1) on Illumina Basespace software and reads per kilobase per million (RPKM) scores calculated.
2017-07-12 | GSE98034 | GEO
Project description:RNAseq analysis between cell types. RNA extracted using Qiagen mini total RNA isolation protocols (Qiagen, Germany). Samples were treated with DNase (Ambion), and sample integrity verified on the Agilent Bioanalyser with the RNA Nano chip. Illumina Tru-seq paired end strand specific sequencing (Illumina, USA) was carried out by on a NextSeq-550 sequencer (Edinburgh Clinical Research Facility, Western General Hospital, Edinburgh, Scotland, UK). 500ng of Total RNA underwent ribosomal RNA depletion (rRNA) prior to purification, fragmentation, random hexamer cDNA generation and purification with AMPure XP beads (Beckman-Coulter, USA). Multiple indexing adapters were ligated to ds cDNA with subsequent hybridisation onto flow cells, and DNA fragment enrichment by 15 cycle PCR for sequencing. Completed libraries were quantified by qPCR using the KAPA Illumina Library Quantification Kit (Illumina, USA) before multiplexing in two equimolar pools and running on two flow cells on the Illumina NextSeq 550. The resulting FastQ files were mapped to the reference genome (mm9) using the Tophat alignment tool (V1) on Illumina Basespace software and reads per kilobase per million (RPKM) scores calculated.
2017-12-01 | GSE101928 | GEO