Project description:This SuperSeries is composed of the following subset Series: GSE31233: Dynamic transformations of epigenetic marking and genome-wide transcriptional regulation that establish T cell identity [ChIP-Seq] GSE31234: Dynamic transformations of epigenetic marking and genome-wide transcriptional regulation that establish T cell identity [RNA-Seq] Refer to individual Series
Project description:We performed the newly mapping of genome-wide NFATc1 binding events in VEGF-stimulated primary cultured endothelial cells, by chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq). Combined NFATc1 ChIP-seq profile and the epigenetic histone marks revealed that predominant NFATc1-occupied peaks were overlapped with promoter marking but not silencer marking. DNA microarrays with NFATc1 expression or knockdown indicated the predominant NFATc1 binding targets were correlated with induced patterns. To determine NFATc1-regulated genes, a total of 5 samples were derived from human umbilical vein endothelial cells (HUVECs) stimulated with or without 50ng/mL VEGF (VEGF 60min and 0min, respectively), pretreated with cyclosporine A (VEGF 60min plus CsA) and infected with adenovirus expressing the control or constitutively active NFATc1 (Ad-control and Ad-NFATc1).
Project description:We performed the newly mapping of genome-wide NFATc1 binding events in VEGF-stimulated primary cultured endothelial cells, by chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq). Combined NFATc1 ChIP-seq profile and the epigenetic histone marks revealed that predominant NFATc1-occupied peaks were overlapped with promoter marking but not silencer marking. DNA microarrays with NFATc1 expression or knockdown indicated the predominant NFATc1 binding targets were correlated with induced patterns. Examination of NFATc1 and two different histone marks in HUVEC in the presence/absense of VEGF.
Project description:We performed the newly mapping of genome-wide NFATc1 binding events in VEGF-stimulated primary cultured endothelial cells, by chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq). Combined NFATc1 ChIP-seq profile and the epigenetic histone marks revealed that predominant NFATc1-occupied peaks were overlapped with promoter marking but not silencer marking. DNA microarrays with NFATc1 expression or knockdown indicated the predominant NFATc1 binding targets were correlated with induced patterns.
Project description:We performed the newly mapping of genome-wide NFATc1 binding events in VEGF-stimulated primary cultured endothelial cells, by chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq). Combined NFATc1 ChIP-seq profile and the epigenetic histone marks revealed that predominant NFATc1-occupied peaks were overlapped with promoter marking but not silencer marking. DNA microarrays with NFATc1 expression or knockdown indicated the predominant NFATc1 binding targets were correlated with induced patterns.
Project description:T cell development comprises a stepwise process of commitment from a multipotent precursor. To define molecular mechanisms controlling this progression, we probed five stages spanning the commitment process using deep sequencing RNA-seq and ChIP-seq methods to track genome-wide shifts in transcription, cohorts of active transcription factor genes, histone modifications at diverse classes of cis-regulatory elements, and binding patterns of GATA-3 and PU.1, transcription factors with complementary roles in T-cell development. The results locate potential promoter-distal cis-elements in play and reveal both activation sites and diverse mechanisms of repression that silence genes used in alternative lineages. Histone marking is dynamic and reversible, and while permissive marks anticipate, repressive marks often lag behind changes in transcription. In vivo binding of PU.1 and GATA-3 relative to epigenetic marking reveals distinctive, factor-specific rules for recruitment of these crucial transcription factors to different subsets of their potential sites, dependent on dose and developmental context.M-BM- Genome-wide expression profiles, global distributions of three different histone modifications, and global occupancies of two transcription factors were examined in five developmentally related immature T populations. High throughput sequencing generated on average 9-30 million of mappable reads (single-read) for each ChIP-seq sample, and 10-15 million (single-read) for RNA-seq. Independent biological replicates were analyzed for individual populations. Terminology: while FLDN1_H3Ac_sample1.1 and FLDN1_H3Ac_sample1.2 are two lanes from the same sample, FLDN1_H3Ac_sample1.X and FLDN1_H3Ac_sample2 are from independent biological replicates. The sequence data of the input DNA from the same cell type was used as ChIP-seq background control.
Project description:T cell development comprises a stepwise process of commitment from a multipotent precursor. To define molecular mechanisms controlling this progression, we probed five stages spanning the commitment process using deep sequencing RNA-seq and ChIP-seq methods to track genome-wide shifts in transcription, cohorts of active transcription factor genes, histone modifications at diverse classes of cis-regulatory elements, and binding patterns of GATA-3 and PU.1, transcription factors with complementary roles in T-cell development. The results locate potential promoter-distal cis-elements in play and reveal both activation sites and diverse mechanisms of repression that silence genes used in alternative lineages. Histone marking is dynamic and reversible, and while permissive marks anticipate, repressive marks often lag behind changes in transcription. In vivo binding of PU.1 and GATA-3 relative to epigenetic marking reveals distinctive, factor-specific rules for recruitment of these crucial transcription factors to different subsets of their potential sites, dependent on dose and developmental context. Genome-wide expression profiles, global distributions of three different histone modifications, and global occupancies of two transcription factors were examined in five developmentally related immature T populations. High throughput sequencing generated on average 9-30 million of mappable reads (single-read) for each ChIP-seq sample, and 10-15 million (single-read) for RNA-seq. Independent biological replicates were analyzed for individual populations. Terminology: FLDN1_RNA-seq_sample1 and FLDN1_RNA-seq_sample2 are independent biological replicates for the same cell type.