Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA110203 | ENA |
REPOSITORIES: ENA
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Project description:High throughput sequencing identifies alternative splicing events regulated by PRMT9
| PRJNA269603 | ENA
Project description:Pig is an important animal model for human obesity and diseases. However, the complexity of the porcine transcriptome is not yet fully elucidated. Here we have used massively parallel high-throughput sequencing of cDNA (RNA-Seq) to generate a high-resolution map of the porcine transcriptome and miRNA in liver (LI), longissimus dorsi (LD) and abdominal fat (AF) from an F2 female full-sib pair with extreme phenotypes in growth and fat deposit. On the basis of the porcine annotated genes against the UCSC database, we identified 21,414 annotated genes in our RNA-Seq analysis and 48,045-122,931 novel transcript fragments, which could be clustered into 17,085-29,499 novel transcriptional active regions (nTARs). We found that ~18.8% of the detected known genes showed alternative splicing patterns, and alternative 3’ splicing was the most common type of alternative splicing events in pigs. We also detected that more than 22.7% of the known genes identified here were extended at their 5’ and/or 3’ end. We identified 2,796, 1,551 and 835 differentially expressed genes (DEGs), respectively, in AF, LI and LD between the two individuals. Examining the complexity of the pig transcriptome in three organs (liver, abdominal fat, longissimus dorsi muscle) from a female full-sib pair.
2011-01-12 | E-GEOD-26382 | biostudies-arrayexpress
Project description:To identify QKI targets, we performed QKI knockdown in BEAS2B cells and analyzed alternative splicing patterns by high-throughput RNA sequencing. The mRNA profiles of control- and QKI-knockdown BEAS2B cells were generated by deep sequencing using Illumina GAIIx sequencer.
2014-04-14 | E-GEOD-55215 | biostudies-arrayexpress
Project description:Transcriptome analysis is an important approach to associate genotype with phenotype. The content and dynamics of eukaryotic transcriptome are far more complex than previously anticipated. Here we integrated high-throughput RNA-seq and paired-end method to conduct an unprecedentedly deep survey of transcription profile for cultivated rice, one of the oldest domesticated crops species and has since spread worldwide to become one of the major staple foods. Analysis of reads mapping revealed 4,244 previously uncharacterized transcripts, including a mass of protein-coding genes and putative functional non-coding RNA genes. Alignment of junction reads indicated over 42% of rice multiple-exon genes produce two or more distinct splicing isoforms. It’s intriguing that we identified 1,356 putative gene fusion events, indicating the 234 fusion gene produced by trans-splicing vastly increases the complexity of rice transcriptome, together with the pervasive alternative splicing events. Digital gene expression profiling revealed most rice duplicate genes were maintained by the selection constraint on gene dosages, which would increase the genetic robustness of rice to counteract deleterious mutations Keywords: Expression profiling by high throughput sequencing mRNA expression of 8 independent rice tissues was determined by method of RNA-Seq using short reads from high throughput sequencing technology. Meanwhile small RNA populations from mixture solution pooled from total RNA of each 8 tissues were also sequenced.
2010-03-01 | E-GEOD-16631 | biostudies-arrayexpress
Project description:We carried out the first analysis of alternative splicing complexity in human tissues using mRNA-Seq data. New splice junctions were detected in 20% of multiexon genes, many of which are tissue specific. By combining mRNA-Seq and EST-cDNA sequence data, we estimate that transcripts from 95% of multiexon genes undergo alternative splicing and that there are 100,000 intermediate- to high-abundance alternative splicing events in major human tissues. From a comparison with quantitative alternative splicing microarray profiling data, we also show that mRNA-Seq data provide reliable measurements for exon inclusion levels. Keywords: mRNA expression 32-nucleotide sequence reads from six human tissues including brain, cerebral cortex, heart, liver, lung and skeletal muscle.
2008-11-19 | E-GEOD-13652 | biostudies-arrayexpress
Project description:We carried out the first analysis of alternative splicing complexity in human tissues using mRNA-Seq data. New splice junctions were detected in 20% of multiexon genes, many of which are tissue specific. By combining mRNA-Seq and EST-cDNA sequence data, we estimate that transcripts from 95% of multiexon genes undergo alternative splicing and that there are 100,000 intermediate- to high-abundance alternative splicing events in major human tissues. From a comparison with quantitative alternative splicing microarray profiling data, we also show that mRNA-Seq data provide reliable measurements for exon inclusion levels. Keywords: mRNA expression
2008-11-19 | GSE13652 | GEO
Project description:DEAD-box helicase 1 (DDX1) is a multifunction protein involved in diverse cellular processes including transcription, viral replication, mRNA/miRNA processing, and tRNA splicing. Here, we report a novel function of DDX1 in mRNA alternative splicing in pancreatic β cells. By performing integrated data analysis of high-throughput RNA sequencing (RNA-Seq), and cross-linking and immunoprecipitation coupled with deep sequencing (CLIP-Seq), we identify hundreds of alternative splicing genes that are targeted by DDX1. These DDX1-targeted alternative splicing genes are mainly associated with calcium ion binding, high voltage-gated calcium channel, and transmembrane transporter. Functionally, silencing DDX1 impairs calcium influx and insulin secretion in the pancreatic β cells. These results reveal an important role for DDX1 in the regulation of gene alternative splicing and insulin secretion in pancreatic β cells.
2018-05-02 | GSE113893 | GEO
Project description:Understanding how RNA binding proteins control the splicing code is fundamental to human biology and disease. Here we present a comprehensive study to elucidate how heterogeneous nuclear ribonucleoparticle (hnRNP) proteins, among the most abundant RNA binding proteins, coordinate to regulate alternative pre-mRNA splicing (AS) in human cells. Using splicing-sensitive microarrays, cross-linking and immunoprecipitation coupled with high-throughput sequencing, and cDNA sequencing, we find that more than half of all AS events are regulated by multiple hnRNP proteins, and that some combinations of hnRNP proteins exhibit significant synergy, whereas others act antagonistically. Our analyses reveal position-dependent RNA splicing maps, in vivo consensus binding sites, a surprising level of cross- and auto-regulation among hnRNP proteins, and the coordinated regulation by hnRNP proteins of dozens of other RNA binding proteins and genes associated with cancer. Our findings define an unprecedented degree of complexity and compensatory relationships among hnRNP proteins and their splicing targets that likely confer robustness to cells. CLIPseq for hnRNP A1, hnRNP A2/B1, hnRNP F, hnRNP M, and hnRNP U in human 293T cells
2012-02-20 | E-GEOD-34993 | biostudies-arrayexpress
Project description:Understanding how RNA binding proteins control the splicing code is fundamental to human biology and disease. Here we present a comprehensive study to elucidate how heterogeneous nuclear ribonucleoparticle (hnRNP) proteins, among the most abundant RNA binding proteins, coordinate to regulate alternative pre-mRNA splicing (AS) in human cells. Using splicing-sensitive microarrays, cross-linking and immunoprecipitation coupled with high-throughput sequencing, and cDNA sequencing, we find that more than half of all AS events are regulated by multiple hnRNP proteins, and that some combinations of hnRNP proteins exhibit significant synergy, whereas others act antagonistically. Our analyses reveal position-dependent RNA splicing maps, in vivo consensus binding sites, a surprising level of cross- and auto-regulation among hnRNP proteins, and the coordinated regulation by hnRNP proteins of dozens of other RNA binding proteins and genes associated with cancer. Our findings define an unprecedented degree of complexity and compensatory relationships among hnRNP proteins and their splicing targets that likely confer robustness to cells. RNAseq for control, hnRNP A1, hnRNP A2/B1, hnRNP H1, hnRNP F, hnRNP M, and hnRNP U siRNA treated human 293T cells
2012-02-20 | E-GEOD-34995 | biostudies-arrayexpress
Project description:Transcriptome analysis is an important approach to associate genotype with phenotype. The content and dynamics of eukaryotic transcriptome are far more complex than previously anticipated. Here we integrated high-throughput RNA-seq and paired-end method to conduct an unprecedentedly deep survey of transcription profile for cultivated rice, one of the oldest domesticated crops species and has since spread worldwide to become one of the major staple foods. Analysis of reads mapping revealed 4,244 previously uncharacterized transcripts, including a mass of protein-coding genes and putative functional non-coding RNA genes. Alignment of junction reads indicated over 42% of rice multiple-exon genes produce two or more distinct splicing isoforms. It’s intriguing that we identified 1,356 putative gene fusion events, indicating the 234 fusion gene produced by trans-splicing vastly increases the complexity of rice transcriptome, together with the pervasive alternative splicing events. Digital gene expression profiling revealed most rice duplicate genes were maintained by the selection constraint on gene dosages, which would increase the genetic robustness of rice to counteract deleterious mutations Keywords: Expression profiling by high throughput sequencing
2010-03-01 | GSE16631 | GEO