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Detection of single nucleotide variations in expressed exons of the human genome using RNA-Seq

ABSTRACT: Whole genome re-sequencing is still a costly method to detect genetic mutations that lead to altered forms of proteins and may be associated with disease development. Since the majority of disease-related single nucleotide variations (SNVs) are found in protein-coding regions, we propose to identify SNVs in expressed exons of the human genome using the recently developed RNA-Seq technique. We identify 12,176 and 10,621 SNVs, respectively, in Jurkat T cells and CD4+ T cells from a healthy donor. Interestingly, our data show that one copy of the TAL-1 protooncogene has a point mutation in 3’ UTR and only the mutant allele is expressed in Jurkat cells. We provide a comprehensive dataset for further understanding the cancer biology of Jurkat cells. Our results indicate that this is a cost-effective and efficient strategy to systematically identify SNVs in the expressed regions of the human genome.

ORGANISM(S): Homo sapiens

PROVIDER: GSE16190 | GEO | 2009/06/15

SECONDARY ACCESSION(S): PRJNA117197

REPOSITORIES: GEO

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Detection of single nucleotide variations in expressed exons of the human genome using RNA-Seq

Project description:Whole genome re-sequencing is still a costly method to detect genetic mutations that lead to altered forms of proteins and may be associated with disease development. Since the majority of disease-related single nucleotide variations (SNVs) are found in protein-coding regions, we propose to identify SNVs in expressed exons of the human genome using the recently developed RNA-Seq technique. We identify 12,176 and 10,621 SNVs, respectively, in Jurkat T cells and CD4+ T cells from a healthy donor. Interestingly, our data show that one copy of the TAL-1 protooncogene has a point mutation in 3’ UTR and only the mutant allele is expressed in Jurkat cells. We provide a comprehensive dataset for further understanding the cancer biology of Jurkat cells. Our results indicate that this is a cost-effective and efficient strategy to systematically identify SNVs in the expressed regions of the human genome. RNA-Seq experiments for two samples: CD4+ T cells from a healthy donor and Jurkat T cells. There are 8 lanes of data for each sample.

2009-06-15 | E-GEOD-16190 | biostudies-arrayexpress

Identification of RNAs associated with telomeres by enChIP-RNA-Seq

Project description:Accumulating evidence suggests important roles of RNAs interacting with genomic regions in the regulation of genome functions including X chromosome inactivation and gene expression. However, no method to identify RNAs interacting with a given genomic region in a non-biased manner has been reported. Here, we used engineered DNA-binding molecule-mediated chromatin immunoprecipitation (enChIP) combined with the RNA-Seq analysis (enChIP-RNA-Seq) to perform non-biased search of RNAs interacting with telomeres. In enChIP-RNA-Seq, the target genomic regions are captured with an engineered DNA-binding molecule such as a TAL protein. Subsequently, RNAs are purified and subjected to the RNA-Seq analysis. The detected RNAs contained known telomere-binding RNAs including telomerase RNA and Cajal body-specific RNAs. In addition, we detected many novel telomere-binding RNAs. We confirmed binding of candidate RNAs to telomeres by the enChIP-RT-PCR analysis. Identified novel telomere-binding RNAs may play important roles in telomere functions. In addition, our results suggest that enChIP-RNA-Seq analysis would be useful for identification of RNAs interacting with specific genomic regions. RNAs associated with telomeres were identified by using the enChIP technology combined with deep sequencing using Illumina Miseq. Briefly, to isolate telomeres, a TAL protein, Telomere-TAL (Tel-TAL), recognizing a 19-bp sequence containing an array of TTAGGG (telomere repeats) was fused with 3xFLAG tag and NLS (3xFN-Tel-TAL) and LexA protein (3xFNLDD)11 were expressed in a mouse hematopoietic cell line, Ba/F3, respectively. The cells were crosslinked with formaldehyde, and crosslinked chromatin was fragmented by sonication. Subsequently, chromatin complexes containing 3xFN-Tel-TAL or 3xFNLDD were immunoprepicitated with anti-FLAG M2 Ab. Supplementary URL: http://www.nature.com/srep/2013/131108/srep03171/full/srep03171.html

2015-04-16 | E-GEOD-60425 | biostudies-arrayexpress

Tumour mutations in long noncoding RNAs enhance cell fitness

Project description:Tumour DNA contains thousands of somatic single nucleotide variants (SNVs) in non-protein-coding elements, yet their functional significance remains poorly understood. Amongst the most highly mutated elements are long noncoding RNAs (lncRNAs), functional transcripts with known roles in carcinogenesis. To search for driver mutations in lncRNAs, we apply an integrative driver discovery algorithm to SNVs from 2583 primary tumours and 3527 metastases to reveal 54 potential “driver lncRNAs”. Our algorithm confirms a particularly high mutation rate in the iconic cancer lncRNA, NEAT1, which has been ascribed by recent studies to passenger effects. We directly test the functionality of NEAT1 SNVs using in cellulo mutagenesis, identifying discrete regions where mutations reproducibly increase cell proliferation in diverse cell backgrounds, both cancerous and normal. In particular, mutations in the 5’ region alter ribonucleoprotein assembly and boost the population of subnuclear paraspeckles, thus mechanistically linking mutations to cellular proliferation. We then used RNA-pull down followed by mass spectrometry to identify the protein interactor changing between the wild type and mutant form of NEAT1.

2023-07-20 | PXD034007 | Pride

An integrative analysis of non-coding regulatory DNA variations associated with autism

Project description:A number of genetic studies have identified rare protein-coding DNA variations associated with autism spectrum disorder (ASD), a neurodevelopmental disorder with significant genetic etiology and heterogeneity. In contrast, the contributions of functional, regulatory genetic variations that occur in the extensive non-protein-coding regions of the genome remain poorly understood. Here we developed a genome-wide analysis to identify rare single nucleotide variants (SNVs) that occur in non-coding regions and determined regulatory function and evolutionary conservation of these variants. Using publicly available datasets and computational predictions, we identified SNVs within putative regulatory regions in promoters, transcription factor binding sites, microRNA genes and their target sites. Overall, we found regulatory variants in the ASD cases were enriched in autism-risk genes and genes involved in fetal neurodevelopment. As with previously reported coding mutations, we found an enrichment of regulatory variants associated with dysregulation of neurodevelopmental and synaptic signaling pathways. Among these were rare inherited non-coding SNVs found in the mature sequence of a number of microRNAs predicted to affect the regulation of autism-risk genes. We show a paternally inherited miR-873-5p variant, with reduced NRXN2 binding affinity, overlays a maternally inherited NRXN1 putative loss-of-function coding variation to likely increase genetic liability in an idiopathic ASD case. Our analysis pipeline provides a new resource for identifying loss-of-function regulatory DNA variations that may contribute to the genetic etiology of complex disorders.

2017-04-25 | GSE98088 | GEO

Genome-wide specificity of genome editing by both CRISPR-Cas9 and TALEN in the model plant Physcomitrium patens

Project description:CRISPRs and TALENs are efficient systems for gene editing in many organisms including plants. In many cases the CRISPR-Cas or TALEN modules are expressed in the plant cell only transiently. Theoretically, transient expression of the editing modules should limit unexpected effects compared to stable transformation. However, very few studies have measured the off-target and unpredicted effects of editing strategies on the plant genome, and none of them have compared these two major editing systems. We conducted a comprehensive genome-wide investigation of off-target mutations using either a CRISPR-Cas9 or a TALEN strategy. We observed a similar number of SNVs and InDels for the two editing strategies compared to control non-transfected plants, with an average of 8.25 SNVs and 19.5 InDels for the CRISPR-edited plants, and an average of 17.5 SNVs and 32 InDels for the TALEN-edited plants. Interestingly, a comparable number of SNVs and InDels could be detected in the PEG-treated control plants. This shows that except for the on-target modifications, the gene editing tools used in this study did not show a significant off-target activity nor unpredicted effects on the genome, and that the PEG treatment in itself was probably the main source of mutations found in the edited plants.

2022-03-03 | E-MTAB-11497 | biostudies-arrayexpress

role of miR-146a on Jurkat T cells

Project description:screenning the differentially expressed genes of Jurkat-FF3, Jurkat-miR146a, Jurkat-miR146a-sponge cell lines.

2010-04-03 | GSE21132 | GEO

Expression data from LEF siRNA transfected Jurkat cells

Project description:To identify novel target genes regulated by LEF1 transcription factor in T-ALL, we examined changes in the genome-wide gene expression profile by microarray in siRNA mediated LEF1 knockdown Jurkat cells. We used microarray to determine the differential gene expression in LEF downregulated Jurkat cells by LEF1 siRNA.

2019-04-17 | GSE129917 | GEO

Sweet orange genes regulated by TAL effectors of Xanthomonas citri (Xc) or Xanthomonas aurantifolii pathotype C

Project description:Microarray analyses of sweet orange epicotyls transiently transfected with the pthA2, pthA4 or pthC1 gene, relative to epicotyls transfected with the uid gene (GUS) This experiment was used to identify sweet oragne genes regulated by TAL effectors Citrus epicotyls were transformed with the TAL effector genes via Agrobacterium transfection, and mRNA was extrated and processed 72h after bacterial-plant incubation

2014-01-10 | E-GEOD-51368 | biostudies-arrayexpress

The Xa7 Resistance Gene Guards the Susceptibility Gene SWEET14 of Rice Against Exploitation by Bacterial Blight Pathogen

Project description:TAL effectors of bacteria hijack host gene expression to condition disease susceptibility, while host plants counteract TAL effectors with resistance genes to thwart pathogen infections. Here we report the cloning of Xa7, TAL effector-specific expression by the essential virulence TAL effectors AvrXa7 and PthXo3, and the prevalence of Xa7 in indica rice cultivars.

2021-01-27 | GSE165583 | GEO

Genome-wide binding map of the HIV Tat protein to the human genome (gene expression)

Project description:The HIV-1 Trans-Activator of Transcription (Tat) protein binds to multiple host cellular factors and greatly enhances the level of transcription of the HIV genome. Here, we report the genome-wide binding map of Tat to the human genome in Jurkat T cells (Jurkat-Tat cells) using chromatin immunoprecipitation combined with next-generation sequencing. cDNA microarray was used to monitor gene expression changes between Jurkat and Jurkat-Tat cells. Additionally, we compared distribution of H3K9ac near gene promoters between Jurkat and Jurkat-Tat cells using ChIP-chip method and hybridized onto Agilent promoter array. Our data reveal that Tat’s interaction with the host genome is more extensive than previously thought, with potentially important implications for the viral life cycle. Agilent gene expression microarray was used to compare gene expression changes between Jurkat T cells and Jurkat T cells expressing HIV-Tat protein (Jurkat-Tat T cells)

2011-11-06 | GSE30734 | GEO

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