Similar Datasets
Project description:Sequencing of liver RNA from HuR WT and HuR KO mice
| PRJNA600219 | ENA
Project description:Post-transcriptional regulatory networks are dependent on the interplay of many RNA-binding proteins having a major role in mRNA processing events in mammals. We have been interested in the concerted action of the two RNA-binding proteins hnRNP A1 and HuR, both stable components of immunoselected hnRNP complexes and having a major nuclear localization. Specifically, we present here the application of the RNA-immunoprecipitation (RIP)-Chip technology to identify a population of nuclear transcripts associated with hnRNP A1-RNPs as isolated from the nuclear extract of either HuR WT or HuR-depleted (KO) mouse embryonic fibroblast (MEF) cells. The outcome of this analysis was a list of target genes regulated via HuR for their association (either increased or reduced) with the nuclear hnRNP A1-RNP complexes. Real time PCR analysis was applied to validate a selected number of nuclear mRNA transcripts, as well as to identify pre-spliced transcripts (in addition to their mature mRNA counterpart) within the isolated nuclear hnRNP A1-RNPs. The differentially enriched mRNAs were found to belong to GO categories relevant to biological processes anticipated for hnRNP A1 and HuR (such as transport, transcription, translation, apoptosis and cell cycle) indicative of their concerted function in mRNA metabolism. Ribonucleoprotein Immunoprecipitation (RIP) using hnRNP A1 specific antibody was performed in nuclear extracts from HuR WT and HuR KO Mouse Embryonic Fibroblasts (MEFs). RNA isolated from these IPs together with nuclear RNA from the two cell types, was subjected to microarray analysis. Three biological replicates, representing three independent experiments, are available for each condition except in the case of nuclear RNA isolated from HuR WT MEFs that one replicate didn’t pass the quality control.
2013-11-01 | E-GEOD-49225 | biostudies-arrayexpress
Project description:Post-transcriptional regulatory networks are dependent on the interplay of many RNA-binding proteins having a major role in mRNA processing events in mammals. We have been interested in the concerted action of the two RNA-binding proteins hnRNP A1 and HuR, both stable components of immunoselected hnRNP complexes and having a major nuclear localization. Specifically, we present here the application of the RNA-immunoprecipitation (RIP)-Chip technology to identify a population of nuclear transcripts associated with hnRNP A1-RNPs as isolated from the nuclear extract of either HuR WT or HuR-depleted (KO) mouse embryonic fibroblast (MEF) cells. The outcome of this analysis was a list of target genes regulated via HuR for their association (either increased or reduced) with the nuclear hnRNP A1-RNP complexes. Real time PCR analysis was applied to validate a selected number of nuclear mRNA transcripts, as well as to identify pre-spliced transcripts (in addition to their mature mRNA counterpart) within the isolated nuclear hnRNP A1-RNPs. The differentially enriched mRNAs were found to belong to GO categories relevant to biological processes anticipated for hnRNP A1 and HuR (such as transport, transcription, translation, apoptosis and cell cycle) indicative of their concerted function in mRNA metabolism.
2013-11-01 | GSE49225 | GEO
Project description:Purpose: The goal of this study is to investigate how HuR regulates hepatocyte death. Methods: mRNA profiles of β-Gal-overexpressing, and HuR-overexpressing primary hepatocytes were generated by deep sequencing using an Illumina Novaseq 6000 platform. Paired-end clean reads were aligned to the mouse reference genome(GRCm38.p6) with Hisat2 v2.0.5, and the aligned reads were used to quantify mRNA expression by using featureCounts v1.5.0-p3. Conclusion: Our study represents the detailed analysis of mRNA profiles in HuR-overexpressing primary hepatocytes, generated by RNA-seq technology. Our results show that 2677 genes were upregulated and 2712 genes were downregulated following HuR overexpression. GO analysis indicated that the upregulated genes were primarily related to inflammation response and apoptotic signaling pathway. These data indicate that upregulation of HuR in hepatocytes leads to cell death.
2023-07-08 | GSE154015 | GEO
Project description:We utilized adipocyte-specific deletion of HuR followed by RNA-seq of total BAT mRNA to identify HuR-dependent gene expression within BAT
2020-07-22 | GSE154820 | GEO
Project description:We report the HuR-RNA interactions in the liver by performing RNA-immunoprecipitation sequencing (RIP-seq). RIP-seq was performed in healthy livers of wildtype (WT) mice using a HuR antibody. We found that 1380 cytoplasmic-target mRNAs bound to HuR, as assessed by the comparison between the HuR-specific antibody and the IgG control
2021-09-15 | GSE143703 | GEO
Project description:mRNA TE and steady-state levels were measured in hypoxic U87MG cells treated with non-silencing control or HuR-specific siRNA pools followed by ribosome density fractionation.
2020-04-23 | GSE128541 | GEO
Project description:Purpose: The goal of this study is to investigate how HuR regulates hepatocyte death. Methods: mRNA profiles of β-Gal-overexpressing, and HuR-overexpressing primary hepatocytes were generated by deep sequencing using an Illumina HiseqX platform. Paired-end clean reads were aligned to the mouse reference genome(Ensemble_GRCm38.83) with TopHat (version 2.0.12), and the aligned reads were used to quantify mRNA expression by using HTSeq-count (version 0.6.1). Conclusion: Our study represents the first detailed analysis of mRNA profiles in HuR-overexpressing primary hepatocytes, generated by RNA-seq technology. Our results show that 258 genes were upregulated and 357 genes were downregulated following HuR overexpression. GO analysis indicated that the upregulated genes were primarily related to cell death, death, apoptotic process, programmed cell death and intrinsic apoptotic signaling pathway. These data indicate that upregulation of HuR leads to hepatocyte death.
2023-06-15 | GSE152542 | GEO
Project description:The purpose of the study was to identify mRNA bound to HuR in the presence of doxorubicin in MCF7 cells. We collected cytoplasmic RNA from untreated and treated cells and detected differentially expressed genes (DEGs). We also coimmunoprecipitated HuR and IgG (as control) from doxorubicin treated cells. Comparison between HuR RIP and IgG RIP signals was used to discriminate specific mRNA bound to HuR. HuR coimmmunoprecipitated material was hybridized together with cytoplasmic mRNA of doxorubicin treated cells, enabling the fold enrichment calculation and the selection of mRNAs bound to HuR. Keywords: RIP-Chip, HuR, doxorubicin, MCF7, HuR consensus binding, post-transcriptional regulation. We subjected MCF7 cells to starvation for 24h and then we added doxorubicin at final concentration of 10 uM, profiling before and after 4 hours of treatment in biological quadruplicate (only on cytoplasmic mRNAs, as HuR was found in the cytoplasm). Differentially expressed genes, altered during the treatment, were identified. Data derived from HuR RIP-Chip and IgG RIP-Chip (in biological quadruplicate) allowed the identification of specific mRNAs bound to HuR. The comparison between HuR RIP-Chip and cytoplasmic extracts from doxorubicin treated cells (in biological triplicate) identified those genes that were more strictly bound to HuR independently from their expression levels.
2011-12-31 | E-GEOD-33055 | biostudies-arrayexpress
Project description:We investigated the role of CXCR6 in the NEMOLPC-KO mouse model. Genetic deletion of CXCR6 enhanced hepatocyte death, inflammation and fibrosis in NEMOLPC-KO mice. This study aimed at characterizing the transcriptomic changes in hepatocytes from these mice compared to controls.
2018-12-07 | GSE121124 | GEO