Chromatin immunoprecipitation of human brain, spleen, skeletal muscle and whole blood identifies tissue-specific methylation at developmental gene loci
Ontology highlight
ABSTRACT: To compare the CpG Island methylome of human tissues.
INSTRUMENT(S): GenePix Professional 4200A [Axon Instruments]
Project description:Phenotype-driven forward genetic experiments are among the most powerful approaches for linking biology and disease to genomic elements. Although widely used in a range of model organisms, positional cloning of causal variants is still a very laborious process. Here, we describe a novel universal approach, named fast forward genetics that combines traditional bulk segregant techniques with next-generation sequencing technology and targeted genomic enrichment, to dramatically improve the process of mapping and cloning multiple mutants in a single experiment. In a two-step procedure the mutation is first roughly mapped by ‘light’ sequencing of the bulk segregant pool, followed by genomic enrichment and deep-sequencing of the mutant pool for the linked genomic region. The latter step allows for simultaneous fine-mapping and mutation discovery. We successfully applied this approach to three Arabidopsis mutants, but the method can in principle be applied to any model organism of interest and is largely independent of the genome size. Moreover, we show that both steps can be performed in multiplex using barcoded samples, thereby increasing efficiency enormously. Inducible overexpression of the RETINOBLASTOMA-RELATED (RBR-OE) gene in Arabidopsis roots causes the complete differentiation of stem cells and premature differentiation of daughter cells, leading to a full exhaustion of the primary root meristem. In order to identify regulators of RBR function in cell differentiation, RBR-OE plants in the Columbia background (Col0) were treated with EMS mutagenesis and a set of genetic suppressors of RBR-OE, which restores root growth capacity, were isolated. In this study, we used one the identified suppressor lines, which segregated as a recessive mutation. Mapping populations were generated by outcrossing to Ler ecotype. Seedlings from the F2 population were grown for 15 days post germination (dpg). A pool of 60 seedlings each with a clear suppressor phenotype (homozygous for suppressor mutation) and of 60 seedlings showing RBOE phenotype (Heterozygous for the suppressor mutation) were prepared and genomic DNA was isolated with the RNeasy Plant Mini Kit from QIAGEN according to manufacturer's protocol. The other two, mutants 136 and 193 were obtained in fluorescence based mutant screen and a QCmarker based mutagenesis, respectively. Mutants were generated by chemical mutagenesis (EMS) in Colombia (Col) genetic background. Mutants were subsequently crossed to the Landsberg (Ler) ecotype to create the mapping populations. Bulk-segregant pools of about 200 mutant as well as wild-type plants were generated for every mutant line.
Project description:Maintenance of normal glucose homeostasis is disturbed in diabetes. In the β cell, this involves a glucose sensor converting increased glucose levels to insulin secretion. Understanding the developmental regulatory networks that define a fully functional β cell is important for elucidating the genetic origins of the disease and deriving mature β cells for therapy. Here we show that Aldh1b1 regulates the timing of differentiation in the developing pancreas and the patterning of β cells. In its absence, expression of key β cell transcription factors is deregulated at birth. Null animals become glucose intolerant and hyperglycemic with age. Beta cell dysfunction is associated with extensive transcripteome changes, increased oxidative stress, energy depletion and defects in both glucose sensing and stimulus coupling secretion. These findings identify Aldh1b1 as a central regulator of the transition from the pancreas endocrine progenitor to the committed β cell and demonstrate that changes in the timing of this transition manifest much later in adult life with β cell dysfunction. Islets were isolated from postnatal day one and 8 week old Aldh1b1 null and wt mice. For each P1 samples islets from three mice were combined. Each week 8 sample came from a single mouse. Three samples were analysed per genotype and time point
Project description:Analysis of RNA samples by massive parallel sequencing holds the promise to assay gene expression in both a quantitative and qualitative fashion and therefore allows for digital gene expression (DGE) profiling. We assessed the effect of different experimental approaches by generating small RNA libraries from a biological sample as well as an equimolar pool of synthetic miRNAs and analyzed the results using capillary dideoxy sequencing and next-generation sequencing platforms (Roche/454, AB/SOLiD and Illumina/Solexa). Whereas different sequencing platforms provided highly similar results, large differences in DGE profiles were observed depending on the library preparation method used. Nevertheless, our results indicate that the preferential nature of the library preparation methods is systematic and highly reproducible and we show that DGE is well suited for the quantification of relative expression differences between samples. Keywords: Transcriptome analysis Examination of three different library preparation methods for small RNAs, two replicates per library method
Project description:Targeted genomic enrichment followed by next-generation sequencing dramatically increased the efficiency of mutation discovery in human genomes. Here we demonstrate that these techniques also revolutionize traditional genetic approaches in model systems. We developed a two-step protocol utilizing a traditional bulk-segregant analysis (BSA) approach for positional cloning mutants in phenotype-driven forward genetic screens. First, BSA pools are 'light' sequenced for rough mapping, followed by targeted enrichment and deep-sequencing of the mutant BSA pool for the linked genomic region to fine-map and discover candidate mutations. We applied this method successfully to three Arabidopsis mutants and show that it can be scaled by multiplexing. Similarly, we applied these techniques to a gene-driven reverse genetics method (chemical driven target-selected mutagenesis or TILLING) that is used for generating gene knockouts in a wide range of organisms, including plants, invertebrates and vertebrates. We developed an efficient multiplexed genomic enrichment protocol for pre-barcoded samples. As a proof-of-principle, 770 genes were screened for induced mutations in 30 rats, which identified all but one known variants (30) as well as a large series of novel knockout and missense alleles. Mutations were retrieved at the expected frequency with a the false-positive rate of less than 1 in 6 million basepairs, which is much lower as compared to traditional mutation discovery approaches. Both methods are largely independent of the genome size due to the targeted enrichment and can thus be applied to any genetic model system of interest. Targeted genomic enrichment followed by next-generation sequencing dramatically increased the efficiency of mutation discovery in human genomes. Here we demonstrate that these techniques also revolutionize traditional genetic approaches in model systems. We developed a two-step protocol utilizing a traditional bulk-segregant analysis (BSA) approach for positional cloning mutants in phenotype-driven forward genetic screens. First, BSA pools are 'light' sequenced for rough mapping, followed by targeted enrichment and deep-sequencing of the mutant BSA pool for the linked genomic region to fine-map and discover candidate mutations. We applied this method successfully to three Arabidopsis mutants and show that it can be scaled by multiplexing. Similarly, we applied these techniques to a gene-driven reverse genetics method (chemical driven target-selected mutagenesis or TILLING) that is used for generating gene knockouts in a wide range of organisms, including plants, invertebrates and vertebrates. We developed an efficient multiplexed genomic enrichment protocol for pre-barcoded samples. As a proof-of-principle, 770 genes were screened for induced mutations in 30 rats, which identified all but one known variants (30) as well as a large series of novel knockout and missense alleles. Mutations were retrieved at the expected frequency with a the false-positive rate of less than 1 in 6 million basepairs, which is much lower as compared to traditional mutation discovery approaches. Both methods are largely independent of the genome size due to the targeted enrichment and can thus be applied to any genetic model system of interest.
Project description:EBV-positive cell lines were assayed for expression of EBV miRNAs. The names of the miRNAs are from miRBase from Fall 2007. Microarray probes are tandem complements of the mature miRNA sequence. We assayed Burkitt's lymphoma (BL), Nasopharyngeal carcinoma, post-transplant lymphoproliferative disease (PTLD), primary effusion lymphoma, and lymphoblastoid cell lines. We also assayed primary B cells that were infected with the B95-8 strain of EBV, which was found to express EBV miRNAs as early as 20 hours post infection. We have found PTLD and BLs from HIV-positive donors both express EBV miRNAs. These types of cell lines have not previously been found to express viral miRNAs. We have found that cells that support type I and type II latency express only the BART miRNAs, whereas cells that support type III latency express BART and BHRF1 miRNAs. Furthermore, BL cell lines that spontaneously lose EBV express levels of the viral miRNAs that are at least 5-fold lower than cell lines that do not lose EBV. In total, 48 samples have been assayed and included in this study. EBV-negative control samples are not included in this data set, but raw and processed data may be requested from the contributors. These EBV-negative cell lines include the Burkitt's lymphoma cell lines, BJAB and Akata-negative, the gastric carcinoma cell line, AGS, and uninfected primary B cells. Of the 48 samples, we have assayed 22 different EBV-positive cell lines and 4 different time points after infection of primary B cells with EBV. Replicates of the majority of cell lines is included in this data set. Replicates are from independent RNA isolations that were then hybridized to individual microarrays.
Project description:Analysis of RNA samples by massive parallel sequencing holds the promise to assay gene expression in both a quantitative and qualitative fashion and therefore allows for digital gene expression (DGE) profiling. We assessed the effect of different experimental approaches by generating small RNA libraries from a biological sample as well as an equimolar pool of synthetic miRNAs and analyzed the results using capillary dideoxy sequencing and next-generation sequencing platforms (Roche/454, AB/SOLiD and Illumina/Solexa). Whereas different sequencing platforms provided highly similar results, large differences in DGE profiles were observed depending on the library preparation method used. Nevertheless, our results indicate that the preferential nature of the library preparation methods is systematic and highly reproducible and we show that DGE is well suited for the quantification of relative expression differences between samples. This SuperSeries is composed of the following subset Series: GSE16369: Limitations and possibilities of small RNA digital gene expression profiling: library preparation comparison (454) GSE16370: Limitations and possibilities of small RNA digital gene expression profiling: library preparation comparison (SOLiD) GSE16371: Limitations and possibilities of small RNA digital gene expression profiling: spleen and liver comparison (SOLiD) GSE16372: Limitations and possibilities of small RNA digital gene expression profiling: synthetic miRNAs replicates (SOLiD) GSE16373: Limitations and possibilities of small RNA digital gene expression profiling: synthetic miRNA replicates (Illumina) Refer to individual Series
Project description:Transcriptome analysis of somatic stem cells and their progeny is fundamental to identify new factors controlling proliferation versus differentiation during tissue formation. Here we generated a combinatorial, fluorescent reporter mouse line to isolate proliferating neural stem cells, differentiating progenitors and newborn neurons that coexist as intermingled cell populations during brain development. Transcriptome sequencing revealed numerous novel long non-coding (lnc)RNAs and uncharacterized protein-coding transcripts identifying the signature of neurogenic commitment. Importantly, most lncRNAs overlapped neurogenic genes and shared with them a nearly identical expression pattern suggesting that lncRNAs control corticogenesis by tuning the expression of nearby cell fate determinants. We assessed the power of our approach by manipulating lncRNAs and protein-coding transcripts with no function in corticogenesis reported to date. This led to several evident phenotypes in neurogenic commitment and neuronal survival indicating that our study provides a remarkably high number of uncharacterized transcripts with hitherto unsuspected roles in brain development. Finally, we focussed on one lncRNA, Miat, whose manipulation was found to trigger pleiotropic effects on brain development and aberrant splicing of Wnt7b. Hence, our study suggests that lncRNA-mediated alternative splicing of cell fate determinants controls stem cell commitment during neurogenesis. M-bM-^@M-^\LncRNAs control neurogenesisM-bM-^@M-^] Aprea, Prenninger, Dori, Monasor, Wessendof, Zocher, Massalini, Ghosh, Alexopoulou, Lesche, Dahl, Groszer, Hiller, Calegari, The EMBO Journal (In Press) mRNA profiles of Proliferating Progenitors, Differentiating Progenitors and Neurons from lateral cortex of E14.5 mouse embryos. Each cell type in three biological replicates.
Project description:Long non-coding (lnc)RNAs play key roles in many biological processes. Elucidating the function of lncRNAs in cell type specification during organ development requires knowledge about their expression in individual progenitor types rather than in whole tissues. To achieve this during cortical development, we used a dual-reporter mouse line to isolate coexisting proliferating neural stem cells, differentiating neurogenic progenitors and newborn neurons and assessed the expression of lncRNAs by paired-end, high-throughput sequencing. We identified 379 genomic loci encoding novel lncRNAs and performed a comprehensive assessment of cell-specific expression patterns for all, annotated and novel, lncRNAs described to date. Our study provides a powerful new resource for studying these elusive transcripts during stem cell commitment and neurogenesis. mRNA profiles of Proliferating Progenitors, Differentiating Progenitors and Neurons from lateral cortex of E14.5 mouse embryos. Each cell type in three biological replicates.
Project description:The transposon silencing piRNAs are produced from precursors that are encoded by heterochromatic clusters and processed in the perinuclear nuage. We show that the Drosophila nuclear DEAD box protein UAP56, previously implicated in mRNA splicing and nuclear export, co-localizes with the cluster-associated HP1 homologue Rhino. Prominent nuclear foci containing Rhi and UAP56 localize directly across the nuclear envelope from Vasa, a conserved DEAD box protein and core nuage component that is required for piRNA production, and piRNA precursors immunoprecipitate with both UAP56 and Vasa. A uap56 point mutation that prevents UAP56 protein co-localization with Rhino also disrupts nuage organization, transposon silencing, and expression of dual strand piRNA clusters. By contrast, this allele significantly increases ectopic piRNAs from protein coding genes. We therefore propose that UAP56 and Vasa organize a piRNA-processing compartment that spans the nuclear envelope, increasing the efficiency and specificity of piRNA biogenesis. RNA-Seq: 3 samples examined: w1118, uap56 mutant un-oxidized, uap56 mutant oxidized RIP-Seq: 6 samples: UAP56-Venus, sz-Venus, and wild type w1 with anti-flag and input control each.