Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

39 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide profiling of H3K27me1 and 5mC enrichment in young leaves of Arabidopsis thaliana

ABSTRACT: Chromatin, DNA and RNA were extracted from young A. thaliana primary stem leaves. Chromatin and DNA methylation immunoprecipitation experiments were performed using commercially available antibodies and analyzed by Illumina sequencing (ChIP-seq and MeDIP-seq). ChIP-seq analysis of H3K27me1 enrichment profiles and MeDIP-seq analysis of 5mC enrichment profiles in 2 biological replicates.

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: FranM-CM-'ois ROUDIER

PROVIDER: E-GEOD-54894 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Genome-wide profiling of H3K4me3, H3K27me3 H3K27me1 and 5mC enrichment and mRNA levels in young leaves of Arabidopsis lyrata

Project description:Chromatin, DNA and RNA were extracted from young A. alpina Pajares primary stem leaves. Chromatin and DNA methylation immunoprecipitation experiments were performed using commercially available antibodies and analyzed by Illumina sequencing (ChIP-seq and MeDIP-seq). Transcriptome data were generated by RNA-seq. ChIP-seq analysis of H3K4me3, H3K27me3 and H3K27me1 enrichment profiles and MeDIP-seq analysis of 5mC enrichment profiles in 2 biological replicates. RNA-seq analysis of mRNA levels in 1 biological replicate.

2015-02-03 | E-GEOD-54727 | biostudies-arrayexpress

Genome-wide profiling of H3K4me3 and H3K27me3 enrichment and mRNA levels in young leaves of Arabidopsis thaliana

Project description:Chromatin and RNA were extracted from young A. thaliana Col-0 rosette leaves. Chromatin immunoprecipitation experiments were performed using commercially available antibodies and analyzed by Illumina sequencing (ChIP-seq). Transcriptome data were generated by RNA-seq. ChIP-seq analysis of H3K4me3 and H3K27me3 enrichment profiles in 2 biological replicates. RNA-seq analysis of mRNA levels in 1 biological replicate.

2014-01-27 | E-GEOD-50636 | biostudies-arrayexpress

Genome-wide profiling of H3K4me3, H3K27me3 H3K27me1 and 5mC enrichment and mRNA levels in young leaves of Arabis alpina

2015-02-03 | E-GEOD-54560 | biostudies-arrayexpress

Rate, spectrum, and evolutionary dynamics of spontaneous epimutations

Project description:Stochastic changes in cytosine methylation are a source of heritable epigenetic and phenotypic diversity in plants. Using the model plant Arabidopsis thaliana, we derive robust estimates of the rate at which methylation is spontaneously gained (forward epimutation) or lost (backward epimutation) at individual cytosines and construct a comprehensive picture of the epimutation landscape in this species. We demonstrate that the dynamic interplay between forward and backward epimutations is modulated by genomic context and show that subtle contextual differences have profoundly shaped patterns of methylation diversity in A. thaliana natural populations over evolutionary timescales. Theoretical arguments indicate that the epimutation rates reported here are high enough to rapidly uncouple genetic from epigenetic variation, but low enough for new epialleles to sustain long-term selection responses. Our results provide new insights into methylome evolution and its population-level consequences. MethylC-seq of Arabidopsis thaliana

2015-05-13 | E-GEOD-64463 | biostudies-arrayexpress

Epigenetic polymorphism and the stochastic formation of differentially methylated regions in normal and cancerous tissues (ChIP-Seq and MeDIP-Seq)

Project description:DNA methylation has been comprehensively profiled in normal and cancer cells, but the dynamics that form, maintain and reprogram differentially methylated regions remain enigmatic. We show that methylation patterns within populations of cells from individual somatic tissues are heterogeneous and polymorphic. Using in vitro evolution of immortalized fibroblasts for over 300 generations, we track the dynamics of polymorphic methylation at regions developing significant differential methylation on average. The data indicate that changes in population-averaged methylation occur through a stochastic process that generates a stream of local and uncorrelated methylation aberrations. Despite the stochastic nature of the process, nearly deterministic epigenetic remodeling emerges on average at loci that lose or gain resistance to methylation accumulation. Changes in the susceptibility to methylation accumulation are correlated with changes in histone modifications and CTCF occupancy. Characterizing epigenomic polymorphism within cell populations is therefore critical for understanding methylation dynamics in normal and cancer cells. Genomewide sequencing data is included herein: H3K27me3 profiled throughout the microevolutionary timecourse using ChIP-seq, DNA methylation profiled through the timecourse using MeDIP-seq, and H3K4me3 and CTCF profiled in late and early timepoints using ChIP-seq. Deep Bisulfite sequencing amplicon data and results can be obtained at: http://compgenomics.weizmann.ac.il/tanay/?page_id=99 .

2012-09-24 | E-GEOD-41048 | biostudies-arrayexpress

Epigenetic polymorphism and the stochastic formation of differentially methylated regions in normal and cancerous tissues

Project description:This SuperSeries is composed of the following subset Series: GSE41048: Epigenetic polymorphism and the stochastic formation of differentially methylated regions in normal and cancerous tissues (ChIP-Seq and MeDIP-Seq) GSE41049: Epigenetic polymorphism and the stochastic formation of differentially methylated regions in normal and cancerous tissues (Gene Expression data) Refer to individual Series

2012-09-24 | E-GEOD-41050 | biostudies-arrayexpress

Effects of dynamic cytosine methylation on alternative pre-mRNA splicing in T lymphocytes

Project description:Intragenic 5-methylcytosine and CTCF mediate opposing affects on pre-mRNA splicing: CTCF promotes inclusion of weak upstream exons through RNA polymerase II pausing, whereas 5-methylcytosine evicts CTCF, leading to exon exclusion. However, the mechanisms governing dynamic DNA methylation at CTCF binding sites were unclear. In this study, we identify the methylcytosine dioxygenases TET1 and TET2 as active regulators of CTCF-mediated alternative splicing through conversion of 5-methylcytosine to its oxidation derivatives. Transcriptional profiling of human T-lymphocytes in the naÃ¯ve and activated states was performed by RNA-Seq. Methylation status (5mC and 5hmC) was assayed by medIP-Seq. CTCF binding sites were identified by ChIP-Seq.

2016-01-04 | E-GEOD-74850 | biostudies-arrayexpress

A basic helix-loop-helix transcription factors network mediates the brassinosteroid signal [RNA-seq]

Project description:To understand how atypical bHLH, INCREASED LEAF INCLINATION1 (ILI1)-BINDING bHLH-1 (IBH1) (At2g43060), and close homologue, IBH1-like1 (IBL1) (At4g30410), interact to regulate cell elongation, genome-wide RNA-Seq expression analyses of IBH1 and IBL1 gain-(IBH1OE, IBL1OE) and loss-of-function (ibh1 (SALK 049177), ibl1(SALK 119457)) mutants were conducted. For loss-of-function mutant, homozygous ibh1(SALK 049177) and ibl1(SALK 119457) were compared to wild type (Col). For gain-of-function mutant, homozygous 35Spro:IBH1-GFP and 35Spro:IBL1-GFP were compared to wild type (Col). Total RNAs were extracted from seedling of each genotypes. For each genotype two biological replicates were sequenced.

2014-03-05 | E-GEOD-51119 | biostudies-arrayexpress

Differential Methylation Of The TRPA1 Promoter In Pain Sensitivity: MeDIP-sequencing

Project description:Chronic pain is a global public health problem, but the underlying molecular mechanisms are not fully understood. Here we examine genome-wide DNA methylation, first in 50 identical twins discordant for heat pain sensitivity and then in 50 further unrelated individuals. Whole blood DNA methylation was characterized at 5.2 million loci by MeDIP-sequencing and assessed longitudinally to identify differentially methylated regions associated with high or low pain-sensitivity (pain-DMRs). Nine meta-analysis pain-DMRs show robust evidence for association (false discovery rate 5%) with the strongest signal in the pain gene TRPA1 (P=1.2M-CM-^W10-13). Several pain-DMRs show longitudinal stability consistent with susceptibility effects, have similar methylation levels in brain, and altered expression in skin. Our approach identifies epigenetic changes in both novel and established candidate genes that provide molecular insights into pain and may generalize to other complex traits. MeDIP-sequencing in 100 individulas using a 2 stage design: paired-end MeDIP-seq in 50 monozygotic twins and single-end MeDIP-seq in 50 unrelated individuals.

2013-12-04 | E-GEOD-52965 | biostudies-arrayexpress

Methylation dynamics of mouse neuron by MeDIP-seq and MRE-seq

Project description:Study DNA methylation of mouse neuron using MeDIP-seq and MRE-seq DNA methylation of mouse neuron using MeDIP-seq and MRE-seq

2015-02-20 | E-GEOD-53694 | biostudies-arrayexpress