Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Coordinated posttranscriptional mRNA population dynamics during T-cell activation

ABSTRACT: Although RNA-binding proteins (RBPs) coordinate many key decisions during cell growth and differentiation, the dynamics of RNA–RBP interactions have not been extensively studied on a global basis. We immunoprecipitated endogenous ribonucleoprotein complexes containing HuR and PABP throughout a T-cell activation time course and identified the associated mRNA populations using microarrays. We used Gaussian mixture modeling as a discriminative model, treating RBP association as a discrete variable (target or not target), and as a generative model, treating RBP-association as a continuous variable (probability of association). We report that HuR interacts with different populations of mRNAs during T-cell activation. These populations encode functionally related proteins that are members of the Wnt pathway and proteins mediating T-cell receptor signaling pathways. Moreover, the mRNA targets of HuR were found to overlap with the targets of other posttranscriptional regulatory factors, indicating combinatorial interdependence of posttranscriptional regulatory networks and modules after activation. Applying HuR mRNA dynamics as a quantitative phenotype in the drug-gene-phenotype Connectivity Map, we identified candidate small molecule effectors of HuR and T-cell activation. We show that one of these candidates, resveratrol, exerts T-cell activation-dependent posttranscriptional effects that are rescued by HuR. Thus, we describe a strategy to systematically link an RBP and condition-specific posttranscriptional effects to small molecule drugs. Keywords: Timecourse, RIP, Immunoprecipitation, HuR, ELAVL1, PABP, T cell activation Timecourse experiment: 0hr, 4hr, and 12hr post-activation of Jurkat cells. Four samples collected: HuR-IP, PABP-IP, Neg-IP and Total RNA. 3 Biological replicates per condition and sample that were independently grown and harvested.

ORGANISM(S): Homo sapiens

SUBMITTER: Neelanjan Mukherjee

PROVIDER: E-GEOD-11989 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Coordinated posttranscriptional mRNA population dynamics during T-cell activation.

Mukherjee Neelanjan N Lager Patrick J PJ Friedersdorf Matthew B MB Thompson Marshall A MA Keene Jack D JD

Molecular systems biology 20090728

Although RNA-binding proteins (RBPs) coordinate many key decisions during cell growth and differentiation, the dynamics of RNA-RBP interactions have not been extensively studied on a global basis. We immunoprecipitated endogenous ribonucleoprotein complexes containing HuR and PABP throughout a T-cell activation time course and identified the associated mRNA populations using microarrays. We used Gaussian mixture modeling as a discriminative model, treating RBP association as a discrete variable ...[more]

PMID: 19638969

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Project description:HuR is a regulator of mRNA turnover or translation of inflammatory genes through binding to adenylate-uridylate-rich elements (ARE) and related motifs present in the 3’untranslated region (UTR) of mRNAs. We aimed to identify HuR targets in the human airway epithelial cell line BEAS-2B challenged with TNFa plus IFNg, a strong stimulus for inflammatory epithelial responses. Ribonucleoprotein (RNP) complexes from resting and cytokine-treated cells were immunoprecipitated (IP) using anti-HuR and isotype-control antibody, and eluted mRNAs were reverse-transcribed and hybridized to an inflammatory-focused gene array. The chemokines CCL2, CCL8, CXCL1 and CXCL2 ranked highest among 27 signaling and inflammatory genes significantly enriched in the HuR RNP-IP from stimulated cells over the control IP. Among these, 20 displayed published HuR binding motifs. Association of HuR with the four endogenous chemokine mRNAs was validated by single-gene RNP-IP, and shown to be 3’UTR-dependent by biotin pull-down assay. Cytokine treatment increased mRNA stability only for CCL2 and CCL8, and transient silencing and overexpression of HuR affected only CCL2 and CCL8 expression in primary and transformed epithelial cells. Cytokine-induced CCL2 mRNA was predominantly cytoplasmic; conversely, CXCL1 mRNA remained mostly nuclear and unaffected, as CXCL2, by changes in HuR levels. Increase in cytoplasmic HuR and HuR target expression partially relied on the inhibition of AMP-dependent kinase, a negative regulator of HuR nucleocytoplasmic shuttling. We postulate that HuR critically regulates the epithelial response, by associating with multiple adenylate-uridylate-rich elements (ARE)-bearing, functionally related inflammatory transcripts. On the basis of genome-wide studies probing the relationship between RNA-binding proteins and the functional profile of their associated transcripts, we combined the specific HuR immunoprecipitation of RNPs and the genome-scale microarray to profile the target mRNAs of HuR in the human airway epithelial cell line BEAS-2B challenged with very strong inflammatory stimulation, TNFa plus IFNG. The array platform we used is the Human Autoimmune and Inflammatory Response Gene Array (SuperArray Bioscience, Frederick, MD). To validate the association of HuR and its target mRNAs, we planned to apply biotin pull-down assay. HuR overexpression and knockdown assays were also planned to further verify the association of HuR and its target mRNAs. Overall, we did three biological replicates for the IP array experiments, which include both IgG1 control IP and HuR IP arrays.

Dataset Information

Coordinated posttranscriptional mRNA population dynamics during T-cell activation

Publications

Coordinated posttranscriptional mRNA population dynamics during T-cell activation.

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