The Transcriptional Landscape of Marek’s Disease Virus in Primary Chicken B Cells Reveals Novel Splice Variants and Genes
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB31680 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR3219200.fastq.gz | Fastqsanger.gz | |||
| ERR3219201.fastq.gz | Fastqsanger.gz | |||
| ERR3219202.fastq.gz | Fastqsanger.gz | |||
| ERR3219203.fastq.gz | Fastqsanger.gz | |||
| ERR3219204.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 10 |
Similar Datasets
Project description:Marek's disease virus (MDV) belongs to the alphaherpesviruses and is the causative agent of fatal T cell lymphomas in chickens. Aftermaths of MDV infections lead to substantial losses in poultry industry and there is evidence that MDV constantly evolves towards higher virulence. This study takes a detailed look at the very first step of the viral life cycle in the host: the infection of B cells. Recently, it has become possible to culture and infect primary chicken B cells ex vivo, enabling us to apply those cells to RNAseq analysis. Here, we provide novel insights into MDV gene expression profiles and post-transcriptional modifications of this important poultry pathogen in its primary target cells for lytic replication. Remarkably enough, we could detect a novel hypothetical MDV gene, identify multicistronic transcripts and previously unannotated splice forms. These findings lay the foundation for future research on MDV replication and pathogenesis and the developed bioinformatics pipeline can be easily transferred to other herpesviruses or large DNA viruses to identify unknown transcript isoforms and associated motifs.
2019-03-19 | E-MTAB-7772 | biostudies-arrayexpress
Project description:Analysis of human macrophage splice variants
| PRJNA448000 | ENA
Project description:The identifcation of alternatively spliced transcript variants specific to particular biological processes in tumours should increase our understanding of cancer. Hypoxia is an important factor in cancer biology and associated splice variants may present new markers to help with planning treatment. A method was developed to analyse alternative splicing in exon array data, using probeset multiplicity to identify genes with changes in expression across their loci, and a combination of the splicing index and a new metric based on the variation of reliability weighted fold changes to detect changes in the splicing patterns. The approach was validated on a cancer/normal sample dataset in which alternative splicing events had been confirmed using RT-PCR. We then analysed ten head and neck squamous cell carcinomas using exon arrays and identified differentially expressed splice variants in five samples with high versus five with low levels of hypoxia-associated genes (Winter et al, 2007; Cancer Res 67:3441-9). The analysis identified a splice variant of LAMA3 (Laminin 3), LAMA3-A, known to be involved in tumour cell invasion and progression. The full-length transcript of the gene (LAMA3-B) did not appear to be hypoxia-associated. The results were confirmed using qualitative real time PCR. In a series of 59 prospectively-collected head and neck tumours (Winter et al, 2007; Cancer Res 67:3441-9), expression of LAMA3-A had prognostic significance whereas LAMA3-B did not. This work illustrates the potential for alternatively spliced transcripts to act as biomarkers of disease prognosis with improved specificity for particular tissues or conditions over assays which do not discriminate between splice variants.
2009-10-07 | GSE18300 | GEO
Project description:Aberrant splice variants are involved in the initiation and/or progression of glial brain tumors. We therefore set out to identify splice variants that are differentially expressed between histological subgroups of gliomas. Splice variants were identified using a novel platform that profiles the expression of virtually all known and predicted exons present in the human genome. Exon-level expression profiling was performed on 26 glioblastomas, 22 oligodendrogliomas and 6 control brain samples. Our results demonstrate that Human Exon arrays can identify subgroups of gliomas based on their histological appearance and genetic aberrations. We next used our expression data to identify differentially expressed splice variants. In two independent approaches, we identified 49 and up to 459 exons that are differentially spliced between glioblastomas and oligodendrogliomas a subset of which (47% and 33%) were confirmed by RT-PCR. In addition, exon-level expression profiling also identified >700 novel exons. Expression of ~67% of these candidate novel exons was confirmed by RT-PCR. Our results indicate that exon-level expression profiling can be used to molecularly classify brain tumor subgroups, can identify differentially regulated splice variants and can identify novel exons. The splice variants identified by exon-level expression profiling may help to detect the genetic changes that cause or maintain gliomas and may serve as novel treatment targets. Keywords: cell type comparison 6 adult non diseased brain, 26 glioblastomas, 21 oligodendrogliomas
2008-01-28 | E-GEOD-9385 | biostudies-arrayexpress
Project description:The spliced variant forms of androgen receptor (AR-Vs) have been identified recently in castration-resistant prostate cancer (CRPC) cell lines and clinical samples. Here we identified the cistrome and transcriptome landscape of AR-Vs in CRPC cell lines and determine the clinical significance of AR variants regulated gene.The AR variants binding sites can be identified in 22Rv1 cell line in the absence of androgen. Knocking down full-length AR (AR-FL) doesn't affect AR-Vs binding sites in genome-wide. A set of genes were identified to be regulated uniquely by AR-Vs, but not by AR-FL in androgen-depleted condition. Integrated analysis showed that some genes may be modulated by AR-Vs directly. Unsupervised clustering analysis demonstrated that AR variants gene signature can separate not only the benign and malignant prostate tissue, but also the localized prostate cancer and metastatic CRPC specimens. Some genes modulated uniquely by AR variants were also identified to correlate with the Gleason Pattern of prostate cancer and PSA failure. We conclude that AR spliced variants bind to DNA independent of full-length AR, and can modulate a unique set of genes which is not regulated by full-length AR in the absence of androgen. AR variants gene signature correlate with CRPC and prostate cnacer disease progress. Androgen receptor (AR) binding sites in human prostate cancer 22Rv1 cell lines were studied using ChIP-seq. ChIP enriched and input DNA were sequenced using Illumina HiSeq 2000.
2014-09-10 | E-GEOD-58478 | biostudies-arrayexpress
Project description:Epigenetic regulation of DNA repair pathway choice by macroH2A1 splice variants ensures genome stability
2020-06-03 | MSV000085541 | MassIVE
Project description:Aberrant splice variants are involved in the initiation and/or progression of glial brain tumors. We therefore set out to identify splice variants that are differentially expressed between histological subgroups of gliomas. Splice variants were identified using a novel platform that profiles the expression of virtually all known and predicted exons present in the human genome. Exon-level expression profiling was performed on 26 glioblastomas, 22 oligodendrogliomas and 6 control brain samples. Our results demonstrate that Human Exon arrays can identify subgroups of gliomas based on their histological appearance and genetic aberrations. We next used our expression data to identify differentially expressed splice variants. In two independent approaches, we identified 49 and up to 459 exons that are differentially spliced between glioblastomas and oligodendrogliomas a subset of which (47% and 33%) were confirmed by RT-PCR. In addition, exon-level expression profiling also identified >700 novel exons. Expression of ~67% of these candidate novel exons was confirmed by RT-PCR. Our results indicate that exon-level expression profiling can be used to molecularly classify brain tumor subgroups, can identify differentially regulated splice variants and can identify novel exons. The splice variants identified by exon-level expression profiling may help to detect the genetic changes that cause or maintain gliomas and may serve as novel treatment targets. Keywords: cell type comparison
2008-01-29 | GSE9385 | GEO
Project description:We report here high-throughput RNA sequencing (RNA-seq) to characterise the transcriptional landscape of the embryonic chicken Müllerian duct during development.
2020-10-07 | GSE153029 | GEO
Project description:Purpose: The goal of this study was to use deep sequencing to identify all splice variants of Calcium/calmodulin-dependent kinase II (CaMKII) expressed in the human hippocampus. Methods: Transcripts of CaMKII-encoding genes (CAMK2A, CAMK2B, CAMK2G, and CAMK2D) were sub-amplified by PCR from total RNA extracted from human hippocampal tissue samples from 3 donors. Illumina sequencing libraries were constructed by PCR from these initial pools of amplicons and sequenced on an Illumina MiSeq instrument. Sequencing reads passing quality controls were clustered on the basis of sequence identity or near-identity. Consensus sequences of clusters were mapped with known exons of CaMKII genes to identify the splice variant represented by each cluster. Donor 1 replicate 2, Donor 2, and Donor 3 libraries from genes CAMK2B, CAMK2G, and CAMK2D were first sequenced on a MiSeq Nano flow cell, then re-pooled for read balancing and sequenced again of a full-size MiSeq flow cell. For each library, reads from Nano and full-size flow cells were combined for subsequent analysis. Results: We perfomed the first comprehensive survey of CaMKII transcripts expressed in individual tissue samples (human hippocampus). We detected a total of 79 splice variants of the four human CaMKIIs: CaMKIIα (3), CaMKIIβ (30), CaMKIIγ (24), and CaMKIIδ (22), across tissue samples from 3 donors. This represents the vast majority of possible in-frame CaMKII splice variants (Sloutsky and Stratton, European Journal of Neuroscience, 2020; https://doi.org/10.1111/ejn.14761).
2020-07-21 | GSE154030 | GEO
Project description:Marek's disease virus (MDV) is an oncogenic alphaherpesvirus that infects chickens and poses a serious threat to poultry health. In infected animals, MDV efficiently replicates in B cells in various lymphoid organs. Despite many years of research, the viral transcriptome in primary target cells of MDV remained unknown. In this study, we uncovered the transcriptional landscape of the very virulent RB1B strain and the attenuated CVI988/Rispens vaccine strain in primary chicken B cells using high-throughput RNA-sequencing. Our data confirmed the expression of known genes, but also identified a novel spliced MDV gene in the unique short region of the genome. Furthermore, de novo transcriptome assembly revealed extensive splicing of viral genes resulting in coding and non-coding RNA transcripts. A novel splicing isoform of MDV UL15 could also be confirmed by mass spectrometry and RT-PCR. In addition, we could demonstrate that the associated transcriptional motifs are highly conserved and closely resembled those of the host transcriptional machinery. Taken together, our data allow a comprehensive re-annotation of the MDV genome with novel genes and splice variants that could be targeted in further research on MDV replication and tumorigenesis.
| S-EPMC6466439 | biostudies-literature