Ontology highlight
ABSTRACT:
PROVIDER: PRJNA368982 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5207336_subreads.fastq.gz | Fastqsanger.gz |
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Project description:In this study, the viral miRNAs from white spot syndrome virus (WSSV) were characterized in shrimp in vivo. On the basis of our previous study and small RNA sequencing in this study, a total of 89 putative WSSV miRNAs were identified. As revealed by miRNA microarray analysis, the expressions of viral miRNAs were tissue-specific in vivo. In this study, the viral miRNAs from white spot syndrome virus (WSSV) were characterized in shrimp in vivo. On the basis of our previous study and small RNA sequencing in this study, a total of 89 putative WSSV miRNAs were identified. As revealed by miRNA microarray analysis and Northern blots, the expressions of viral miRNAs were tissue-specific in vivo. Therefore, our study presented the first report on the in vivo molecular events of viral miRNA in the antiviral apoptosis.
2014-01-09 | E-GEOD-53900 | biostudies-arrayexpress
Project description:Rapidly increased studies by third-generation sequencing [Pacific Biosciences (Pacbio) and Oxford Nanopore Technologies (ONT)] have been used in all kinds of research areas. Among them, the plant full-length single-molecule transcriptome studies were most used by Pacbio while ONT was rarely used. Therefore, in this study, we developed ONT RNA-sequencing methods in plants. We performed a detailed evaluation of reads from Pacbio and Nanopore PCR cDNA (ONT Pc) sequencing in plants (Arabidopsis), including the characteristics of raw data and identification of transcripts. We aimed to provide a valuable reference for applications of ONT in plant transcriptome analysis.
2019-12-15 | GSE141641 | GEO
Project description:Iso-Seq (PacBio) sequencing was performed to generate a reference library of H. perforatum. We generated genome-wide transcriptome data from in vitro cell suspensions and shoot cultures of H. perforatum.
2022-12-31 | E-MTAB-11423 | biostudies-arrayexpress
Project description:We used PacBio data to identify more reliable transcripts from hESC, based on which we can estimate gene/transcript abundance better from Illumina data. PacBio long reads and Illumina short reads were generated from the same hESC cell line H1. PacBio reads were error-corrected by Illumina reads to identify transcripts. rSeq is used to estimate gene/transcript abundance of the identified transcriptome.
2013-10-30 | E-GEOD-51861 | biostudies-arrayexpress
Project description:Shrimp allergy is the second most common food allergy in the United States. γδ T cells play a regulatory role in peanut immunotherapy, but their role in shrimp allergy remains unclear. We hypothesized γδ T cells play a regulatory role in shrimp allergic disease. We performed single cell RNA sequencing on peripheral cells from shrimp allergic (SA) and healthy control (HC) subjects after stimulation with shrimp tropomyosin. We found significant expansion of γδ T cells and three distinct clusters. One γδ T cell cluster predominated in SA, characterized as CD8+ with a cytotoxic expression profile. We found significant upregulation of TGF-β1 and downregulation of IL-7R in SA-stimulated vs. HC-stimulated γδ T cells, and IL-10 secretion in stimulated SA γδ T cells. γδ T cells play an important role in the pathogenesis of shrimp allergy through lymphocyte-mediated cytotoxin signaling and cytokine-mediated signaling pathways, including TGFβ-1, IL7/TSLP-IL7R, and IL10-IL10R pathways.
2024-07-01 | GSE268436 | GEO
Project description:Objectives: To perform long-read transcriptome and proteome profiling of pathogen-stimulated peripheral blood mononuclear cells (PBMCs) from healthy donors. We aim to discover new transcripts and protein isoforms expressed during immune responses to diverse pathogens. Methods: PBMCs were exposed to four microbial stimuli for 24 hours: the TLR4 ligand lipopolysaccharide (LPS), the TLR3 ligand Poly(I:C), heat-inactivated Staphylococcus aureus, Candida albicans, and RPMI medium as negative controls. Long-read sequencing (PacBio) of one donor and secretome proteomics and short-read sequencing of five donors were performed. IsoQuant was used for transcriptome construction, Metamorpheus/FlashLFQ for proteome analysis, and Illumina short-read 3’-end mRNA sequencing for transcript quantification. Results: Long-read transcriptome profiling reveals the expression of novel sequences and isoform switching induced upon pathogen stimulation, including transcripts that are difficult to detect using traditional short-read sequencing. We observe widespread loss of intron retention as a common result of all pathogen stimulations. We highlight novel transcripts of NFKB1 and CASP1 that may indicate novel immunological mechanisms. In general, RNA expression differences did not result in differences in the amounts of secreted proteins. Interindividual differences in the proteome were larger than the differences between stimulated and unstimulated PBMCs. Clustering analysis of secreted proteins revealed a correlation between chemokine (receptor) expression on the RNA and protein levels in C. albicans- and Poly(I:C)-stimulated PBMCs. Conclusion: Isoform aware long-read sequencing of pathogen-stimulated immune cells highlights the potential of these methods to identify novel transcripts, revealing a more complex transcriptome landscape than previously appreciated.
2023-09-16 | PXD045237 | Pride
Project description:Aim: We aim to compare current (MeDIP-seq), new (Illumina Infinium 450K BeadChip) and future (PacBio) methods for whole genome DNA methylation analysis. As the interest in determination of disease methylation profiles increases, the scope, advantages and limitations of these methods requires assessment. There are key questions to answer and specific challenges to overcome. For example, how much detail/resolution is sufficient to identify regions of differential methylation and regions of biological/medical significance within a sample? How much coverage of the genome is required for accurate methylation analysis? Is it important to confirm which regions of the genome are unmethylated in addition to focusing on those that are methylated? Loss of methylation may be of equal importance within the cell since this may also contribute to disease pathogenesis. A multi-method (affinity enrichment/bisulphite-conversion based/direct sequencing of methyl-cytosine) and technology platform (Illumina HiSeq/PacBio/Illumina Infinium BeadChip) comparison will enable us to determine the strengths and weakness of each method. We propose to compare four methods using two DNA samples from the Coriell Institute for Cell Repository to assess both current and future capabilities for whole genome methylation analysis in parallel: A) MeDIP-seq using Illumina HiSeq B) Illumina Infinium HumanMethylation 450K BeadChip and C) whole genome methylation sequencing using PacBio. Existing single molecule deep bisulphite sequencing data generated previously from these same samples at the WTSI for targeted regions (30-40 genes) on the human X chromosome will be used to assess performance of each method. The methods selected for this study will generate data covering a range of resolutions from a whole genome scan to array (target defined) resolution and up to single base pair, single molecule resolution; the highest level of detail possible with methods currently available.Samples: DNA from sibling pair GM01240 (female) and GM01240 (male).Requirements: Both samples will be analysed using;A.MeDIP-seq using Illumina HiSeq (one HiSeq lane, 75bp paired end, per sample) B.Illumina Infinium HumanMethylation 450K BeadChipWe are expecting a potentially unnecessary high coverage using one HiSeq lane per sample. However, for the MeDIP procedure we do not have a multiplexing procedure in place. Our requirements for PacBio sequencing have been discussed with and will be supported by the Sequencing Technology Development group.
2013-01-22 | E-ERAD-139 | biostudies-arrayexpress
Project description:Whole-genome sequencing on PacBio of laboratory mouse strains. See http://www.sanger.ac.uk/resources/mouse/genomes/ for more details. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
2014-10-15 | E-ERAD-328 | biostudies-arrayexpress