Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

HNRPA2B1 HITS-CLIP

ABSTRACT: Expression, crosslinking and immunoprecipitation of tagged HNRPA2B1 (variant A2) to identify bound RNA sequences RNA molecules that are immunoprecipitated are sequenced followed purification under denaturing conditions

ORGANISM(S): Homo sapiens

SUBMITTER: Hani Goodarzi

PROVIDER: E-GEOD-35799 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Systematic discovery of structural elements governing stability of mammalian messenger RNAs.

Goodarzi Hani H Najafabadi Hamed S HS Oikonomou Panos P Greco Todd M TM Fish Lisa L Salavati Reza R Cristea Ileana M IM Tavazoie Saeed S

Nature 20120408 7397

Decoding post-transcriptional regulatory programs in RNA is a critical step towards the larger goal of developing predictive dynamical models of cellular behaviour. Despite recent efforts, the vast landscape of RNA regulatory elements remains largely uncharacterized. A long-standing obstacle is the contribution of local RNA secondary structure to the definition of interaction partners in a variety of regulatory contexts, including--but not limited to--transcript stability, alternative splicing a ...[more]

PMID: 22495308

Similar Datasets

Project description:Decoding post-transcriptional regulatory programs underlying gene expression is a crucial step toward a predictive dynamical understanding of cellular state transitions. Despite recent systematic efforts, the sequence determinants of such mechanisms remain largely uncharacterized. An important obstacle in revealing these elements stems from the contribution of local secondary structures in defining interaction partners in a variety of regulatory contexts, including but not limited to transcript stability, alternative splicing and localization. There are many documented instances where the presence of a structural regulatory element dictates alternative splicing patterns (e.g. human cardiac troponin T) or affects other aspects of RNA biology. Thus, a full characterization of post-transcriptional regulatory programs requires capturing information provided by both local secondary structures and the underlying sequence. We have developed a computational framework based on context-free grammars and mutual information that systematically explores the immense space of structural elements and reveals motifs that are significantly informative of genome-wide measurements of RNA behavior. The application of this framework to genome-wide mammalian mRNA stability data revealed eight highly significant elements with substantial structural information, for the strongest of which we showed a major role in global mRNA regulation. Through biochemistry, mass-spectrometry, and in vivo binding studies, we identified HNRPA2B1 as the key regulator that binds this element and stabilizes a large number of its target genes. Ultimately, we created a global post-transcriptional regulatory map based on the identity of the discovered linear and structural cis-regulatory elements, their regulatory interactions and their target pathways. This approach can also be employed to reveal the structural elements that modulate other aspects of RNA behavior. This SuperSeries is composed of the following subset Series: GSE35749: sRSM1 synthetic decoy vs. scrambled transfections in MDA-MB-231 cells GSE35753: HNRPA2B1 RIP-chip GSE35756: Whole-genome decay rate measurements in MDA-MB-231 cells transfected with HNRPA2B1 siRNAs versus controls GSE35757: siRNA-mediated HNRPA2B1 knock-down in MDA-MB-231 cells GSE35799: HNRPA2B1 HITS-CLIP Refer to individual Series

Project description:Integrative epigenomic analysis identifies biomarkers and therapeutic targets in adult B-acute lymphoblastic leukemia. We performed DNA methylation (HELP array) and gene expression profiling in 215 samples of adult B-lineage acute lymphoblastic leukemia (ALL) and 12 normal preB samples. Adult B-lineage acute lymphoblastic leukemia (B-ALL) is an aggressive disease with <40% long-term survival. Genetic alterations such as BCR/ABL, E2A/PBX1 and MLL rearrangement (tMLL) define distinct B-ALL subtypes, which are associated with poor clinical outcome. It has been shown that these B-ALL subtypes have distinct expression profiles. However, the role of the epigenome in shaping these expression profiles and how the aberrant epigenetic gene regulation contributes to the biological and clinical features of those ALL subtypes is largely unknown. To address this question, we performed genome-wide DNA methylation and gene expression profiling on a large cohort of 215 well-characterized adult B-ALL specimens from the ECOG E2993 phase III clinical trial and a cohort of normal precursor B (preB) cells from 12 healthy bone marrows. The integrative analysis of these profiles led to the identification of key gene networks deregulated at the epigenetic and transcriptional levels within each subtype. In BCR/ABL, we identified a network centered on IL2RA(CD25), which is itself hypomethylated and overexpressed in most BCR/ABL B-ALL and confers poor clinical outcomes. In the tMLL subtype, we uncovered aberrant epigenetic and transcriptional activities that include hypomethylation and upregulation of FLT3 and BCL6. After showing that MLL/AF4 fusion protein binds to these genes as well as other hypomethylated and overexpressed genes in tMLL ALL cells, we showed that a specific BCL6 inhibitor, RI-BPI, kills tumor cells in both tMLL ALL cell lines and patient samples. BCL6 inhibition may therefore represent a novel therapeutic strategy for B-ALL patients with MLL translocations. RUNX1 is a key target gene in MLL-AF4 leukemias and contributes to gene activation by interacting with the AF4-MLL complex. The Mixed Lineage Leukemia 1 protein (MLL1) is an important epigenetic protein that is required for the maintenance of gene activation during development, but is also mutated in a subset of aggressive human leukemias. The most common leukemogenic MLL1 mutations are chromosome translocations that fuse MLL1 in-frame to produce novel fusion proteins. Different MLL1 fusion proteins cause unique leukemias even when they are expressed in the same cell type, suggesting that they function through unique molecular mechanisms. We used ChIP-seq in MLL-AF4 patient cell lines to identify target genes that are involved in leukemogenesis. ChIP-seq using MLLN, AF4, H3K4me3 and H3K79me2 antibodies in RS4;11 cells.

Dataset Information

HNRPA2B1 HITS-CLIP

Publications

Systematic discovery of structural elements governing stability of mammalian messenger RNAs.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets