Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Dynamic Transformations of Genome-wide Epigenetic Marking and Transcriptional Control Establish T Cell Identity [RNA-Seq]

ABSTRACT: 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.

ORGANISM(S): Mus musculus

SUBMITTER: Jingli Zhang

PROVIDER: E-GEOD-31234 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Dynamic transformations of genome-wide epigenetic marking and transcriptional control establish T cell identity.

Zhang Jingli A JA Mortazavi Ali A Williams Brian A BA Wold Barbara J BJ Rothenberg Ellen V EV

Cell 20120401 2

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 RNA-seq and ChIP-seq to track genome-wide shifts in transcription, cohorts of active transcription factor genes, histone modifications at diverse classes of cis-regulatory elements, and binding repertoire of GATA-3 and PU.1, transcription factors with complementary roles in T cell devel ...[more]

PMID: 22500808

Similar Datasets

Project description:The thymus constitutes the primary lymphoid organ for the majority of T cells. The phosphatidyl-inositol 3 kinase (PI3K) signaling pathway is involved in lymphoid development. Defects in single components of this pathway prevent thymocytes from progressing beyond early T cell developmental stages. Protein kinase B (PKB) is the main effector of the PI3K pathway. To determine whether PKB mediates PI3K signaling in early T cell development, we characterized PKB knockout thymi. Our results reveal a significant thymic hypocellularity in PKBalpha-/- neonates and an accumulation of early thymocyte subsets in PKBalpha-/- adult mice. The latter finding is specifically attributed to the lack of PKBalpha within the lymphoid component of the thymus. Microarray analyses show that the absence of PKBalpha in early thymocyte subsets modifies the expression of genes known to be involved in pre-TCR signaling, in T cell activation, and in the transduction of interferon-mediated signals. This report highlights the specific requirements of PKBalpha for thymic development. Experiment Overall Design: Early thymocyte subsets (DN3 and ISP8) were sorted by FACS from 4 PKBalpha-/- / PKBalpha+/+ mouse littermate pairs. The same number of DN3 or ISP8 cells was sorted (7 000 to 25 000 cells) within a PKBalpha-/- / PKBalpha+/+ pair. Four replicates per condition were then analysed (4xPKBalpha-/- DN3, 4xPKBalpha+/+ DN3, 4xPKBalpha-/- ISP8, 4xPKBalpha+/+ ISP8). Total RNA was extracted using PicoPureTM RNA isolation kit (Arcturus, Sunnyvale, CA, USA) and RNA quality was controlled using the 2100 Bioanalyser (Agilent Technologies, Santa Clara, CA, USA). Total RNA was amplified and labeled using the Affymetrix 2-cycle 3â labelling kit according to manufacturerâs instructions. After fragmentation, 10 ug cRNA was hybridised to mouse genome 430 2.0 GeneChips (Affymetrix, Santa Clara, CA). The supplementary file represents the expression values estimated using the GC-RMA function provided by Refiner 3.1 (Genedata, Basel, Switzerland) for each of the samples.

Dataset Information

Dynamic Transformations of Genome-wide Epigenetic Marking and Transcriptional Control Establish T Cell Identity [RNA-Seq]

Publications

Dynamic transformations of genome-wide epigenetic marking and transcriptional control establish T cell identity.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets