Hematopietic system high resolution transcriptome
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE10480 | GEO | 2009/10/01
SECONDARY ACCESSION(S): PRJNA107923
REPOSITORIES: GEO
Similar Datasets
Project description:Recent advances in high density oligonucleotides microarray technology have generated solutions for molecular profiling of human samples at an unprecedented resolution. We mapped whole blood RNA from healthy volunteers and CD34+ collected by cytapheresis from patients to Exon ST 1.0 microarray probing for most known and predicted human exons. Comparison with a broad panel of solid tissues showed that blood displayed the largest tissue specific signature. This unique expression profile comprised transcripts from every blood cell compartment. Moreover, by scanning the expression of over one million different exons, several transcripts were identified as alternatively transcribed between whole blood and solid tissues, or CD34+ and other tissues. The precision of this expression map, at the exon resolution, and the coverage of every blood cell type and hematopoietic stem cells suggest that it will be possible to link specific whole blood exon signatures to many diseases such as cancer or auto-immune disorders and to discover alternative splicing events specific of mature blood cells or stem cells compartment. 4 samples of whole blood from adult healthy donors and 3 samples of CD34+ cells obtained by selection after cytapheresis.
2010-04-08 | E-GEOD-10480 | biostudies-arrayexpress
Project description:Recent advances in high density oligonucleotides microarray technology have brought solutions for molecular profiling of human samples at an unprecedented resolution. We mapped whole blood RNA from healthy volunteers and CD34+ from cytapheresis to Human Exon ST 1.0 microarrays. We compared mature blood cells samples with immature CD34+ samples and each of these compartiement with a broad panel of solid tissues. By scanning the expression of over one million known or predicted exons, transcripts such as INPP4B, NEDD9 CD74 and VAV3 were identified as alternatively transcribed between haematopoietic system and solid tissues. The very large combinatorial complexity conveyed by alternative splicing contributes to the specific functional properties of blood cells and haematopoietic stem cells. The gene expression profiles are freely accessible through a dynamic web atlas, providing to the medical and scientific community a simple mean to interrogate and visualize this reference dataset. Finally, the relevance and the precision provided by this exon expression map suggest that exon arrays may be a powerful tool to link specific peripheral whole blood exon signatures modifications to many diseases such as cancer or auto-immune disorders.
2010-02-03 | GSE15207 | GEO
Project description:Manuscript Title: Discovery of tissue-specific exons using comprehensive human exon microarrays We have designed a high-density oligonucleotide microarray with probesets for more than one million annotated and predicted exons in the human genome. Using these arrays and a simple algorithm that normalizes exon signal to signal from the gene as a whole, we have identified tissue-specific exons from a panel of 16 different normal adult tissues. Pair-wise comparisons between the tissues suggest that 75% of detected genes are differentially alternatively spliced. We also demonstrate how an inclusive exon microarray can be used to discover novel alternative splicing events. As examples, 15 new tissue-specific exons from 9 genes were validated by RT-PCR and sequencing. Keywords: exon analysis
2007-01-01 | GSE5791 | GEO
Project description:Background: Substantial progress has been made in the identification of sequence elements that control mRNA splicing and the genetic variants in these elements that alter mRNA splicing (referred to as splicing quantitative trait loci -- sQTLs). Genetic variants that affect mRNA splicing in trans are harder to identify because their effects can be more subtle and diffuse, and the variants are not co-located with their targets. We carried out a transcriptome-wide analysis of the effects of a mutation in a ubiquitous splicing factor that causes retinitis pigmentosa (RP) on mRNA splicing, using exon microarrays. Results: Exon microarray data was generated from whole blood samples obtained from four individuals with a mutation in the splicing factor PRPF8 and four sibling controls. Although the mutation has no known phenotype in blood, there was evidence of widespread differences in splicing between cases and controls (affecting between 10\% and 25\% of exons). Most probesets with significantly different inclusion (defined as the expression intensity of the exon divided by the expression of the corresponding transcript) between cases and controls had higher inclusion in cases and corresponded to exons that were shorter than average, AT-rich, located towards the 5' end of the gene and flanked by long introns. Introns flanking affected probesets were particularly depleted for the shortest category of introns, associated with splicing via intron definition. Conclusions: Our results show that a mutation in a splicing factor, with a phenotype that is restricted to retinal tissue, acts as a trans-sQTL cluster in whole blood samples. Characteristics of the affected exons suggest that they are spliced co-transcriptionally and via exon definition.
2012-12-25 | GSE43134 | GEO
Project description:DNA methylation is a dynamic process through which specific chromatin modifications can be stably transmitted from parent to daughter cells. A large body of work has suggested that DNA methylation influences gene expression by silencing gene promoters. However, these conclusions were drawn from data focused mostly on promoter regions. With regards to the entire genome, it is unclear how methylation and gene transcription patterns are related during vertebrate development. To identify the genome-wide distribution of CpG methylation we created series of high-resolution methylome maps of Danio rerio embryos during development and in mature, differentiated tissues. We find that embryonic and terminal tissues have unique methylation signatures in CpG islands and repetitive sequences. Fully differentiated tissues have increased CpG and LTR methylation and decreased SINE methylation relative to embryonic tissues. Unsupervised clustering analyses reveal that the embryonic and terminal tissues can be classified solely by their methylation patterning. Novel analyses also identify a previously undescribed genome-wide exon methylation signature. We also compared whole genome methylation with genome-wide mRNA expression levels using publicly available RNA-seq datasets. These comparisons revealed previously unrecognized relationships between gene-expression, alternative splicing and exon methylation. Surprisingly, we find that exonic methylation is a better predictor of mRNA expression level than promoter methylation. We also found that transcriptionally skipped exons have significantly less methylation than retained exons. Our integrative analyses reveal highly complex interplay between gene expression, alternative splicing, development, and methylation patterning in zebrafish. MBD-Seq with whole embryos (sperm, 1cell, mbt, 3dpf) and adult tissues (eye, brain, heart, liver) Please note that the mePoor brain lane4 sample raw data files were used as loading/sequencing controls for the following meRich.lane4 samples; eye_meRich.lane4 heart_meRich.lane4 liver_meRich.lane4 The mePoor brain lane5 sample raw data files were used as loading/sequencing controls for the following meRich.lane5 samples; 1cell_meRich.lane5 mbt_meRich.lane5 sperm_meRich.lane5
2014-03-25 | E-GEOD-52110 | biostudies-arrayexpress
Project description:DNA methylation is a dynamic process through which specific chromatin modifications can be stably transmitted from parent to daughter cells. A large body of work has suggested that DNA methylation influences gene expression by silencing gene promoters. However, these conclusions were drawn from data focused mostly on promoter regions. With regards to the entire genome, it is unclear how methylation and gene transcription patterns are related during vertebrate development. To identify the genome-wide distribution of CpG methylation we created series of high-resolution methylome maps of Danio rerio embryos during development and in mature, differentiated tissues. We find that embryonic and terminal tissues have unique methylation signatures in CpG islands and repetitive sequences. Fully differentiated tissues have increased CpG and LTR methylation and decreased SINE methylation relative to embryonic tissues. Unsupervised clustering analyses reveal that the embryonic and terminal tissues can be classified solely by their methylation patterning. Novel analyses also identify a previously undescribed genome-wide exon methylation signature. We also compared whole genome methylation with genome-wide mRNA expression levels using publicly available RNA-seq datasets. These comparisons revealed previously unrecognized relationships between gene-expression, alternative splicing and exon methylation. Surprisingly, we find that exonic methylation is a better predictor of mRNA expression level than promoter methylation. We also found that transcriptionally skipped exons have significantly less methylation than retained exons. Our integrative analyses reveal highly complex interplay between gene expression, alternative splicing, development, and methylation patterning in zebrafish.
2014-03-25 | GSE52110 | GEO
Project description:71 liver RNA samples from three mouse strains - DBA/2J, C57BL/6J and C3H/HeJ - were profiled using a custom-designed microarray monitoring exon and exon-junction expression of 1,020 genes representing 9,406 exons. Gene expression was calculated via two different methods, using the 3'-most exon probe ("3' gene expression profiling") and using all probes associated with the gene ("whole-transcript gene expression profiling"), while exon expression was determined using exon probes and flanking junction probes that spanned across the neighboring exons("exon expression profiling"). Widespread strain and sex influences were detected using a two-way Analysis of Variance (ANOVA) regardless of the profiling method used. However, over 90% of the genes identified in 3' gene expression profiling or whole transcript profiling were identified in exon profiling, along with 75% and 38% more genes, respectively, showing evidence of differential isoform expression. Overall, 55% and 32% of genes, respectively, exhibited strain- and sex-bias differential gene or exon expression. Keywords: Grouped
2008-03-30 | GSE10736 | GEO
Project description:Background: Substantial progress has been made in the identification of sequence elements that control mRNA splicing and the genetic variants in these elements that alter mRNA splicing (referred to as splicing quantitative trait loci -- sQTLs). Genetic variants that affect mRNA splicing in trans are harder to identify because their effects can be more subtle and diffuse, and the variants are not co-located with their targets. We carried out a transcriptome-wide analysis of the effects of a mutation in a ubiquitous splicing factor that causes retinitis pigmentosa (RP) on mRNA splicing, using exon microarrays. Results: Exon microarray data was generated from whole blood samples obtained from four individuals with a mutation in the splicing factor PRPF8 and four sibling controls. Although the mutation has no known phenotype in blood, there was evidence of widespread differences in splicing between cases and controls (affecting between 10\% and 25\% of exons). Most probesets with significantly different inclusion (defined as the expression intensity of the exon divided by the expression of the corresponding transcript) between cases and controls had higher inclusion in cases and corresponded to exons that were shorter than average, AT-rich, located towards the 5' end of the gene and flanked by long introns. Introns flanking affected probesets were particularly depleted for the shortest category of introns, associated with splicing via intron definition. Conclusions: Our results show that a mutation in a splicing factor, with a phenotype that is restricted to retinal tissue, acts as a trans-sQTL cluster in whole blood samples. Characteristics of the affected exons suggest that they are spliced co-transcriptionally and via exon definition. Eight samples consisting of four sibling pairs were analysed. One individual in each pair harboured an RP-causing mutation on the PRPF8 gene (cases). Unaffected siblings were used as controls.
2012-12-25 | E-GEOD-43134 | biostudies-arrayexpress
Project description:Efficient targeted control of exon splicing is a major goal of functional genomic and therapeutic applications. Guide RNA-directed, deactivated (d)Cas CRISPR enzymes fused to splicing effectors represent a promising strategy due to the flexibility and presumed specificity of these systems. However, efficient, selective, and generalizable activation of targeted endogenous exons using this approach has not been reported. Here, we identify dCasRx-RBM25 as a potent activator of exons by screening over 300 dCasRx splicing factor fusions tethered to splicing reporters. dCasRx-RBM25 also strongly activates splicing of endogenous alternative exons, when recruited to downstream intron sequences using single guide RNAs. In transcriptome wide analyses we observe a high degree of specificity of dCasRx-RBM25 for endogenous exon targeting. We further leverage the guide array-processing activity of dCasRx to simultaneously target multiple endogenous exons for activation and repression by dCasRx-RBM25. Our results pave the way for versatile exon-resolution functional assays and splicing-directed therapeutic applications.
2024-09-19 | GSE243979 | GEO
Project description:Chromatin structure affects gene splicing and nucleosome as the basic packaged unit is associated with exon recognition. But little is known about the function of nucleosome occupancy in the process of exon origination. Here we performed MNase-seq to obtain genome-wide nucleosome profiles for several tissues of human, rhesus monkey, tree shrew, mouse and pig. At the first time we found conserved nucleosome profile for different tissues. By combining RNA-seq data of each species, we traced the nucleosome occupancy changes of human new exons. Surprisingly, we found nucleosomes were higher occupied before exon formation. And this pre-occupancy contributed to the formation of exon-intron GC difference and maintain splice site strength. Thus we proposed a preadaption model for the function of nucleosome occupancy in human exons origination.
2018-08-07 | GSE106578 | GEO