Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of rat depolarization induced gene from primary cortical neuron

ABSTRACT: Activation of neurons is one of the fundamental events for the functioning of nervous system. Neuronal activation relays information to next neurons. On the other hand, the activated neurons themselves are also influenced by neuronal activation. Depending on the type and condition of neuronal activation, these activated neurons change their gene expressions, thereby being able to process information more or less efficiently. We applied the microarray technology to identify hither-to-uncharacterized as activity-dependent genes. Especially, we screened the transcription factors, because early changes in the transcription factors should result in alterations of gene expression profiles and subsequent neuronal properties. Experiment Overall Design: Rat primary cortical neurons with or without KCl treatment were selected for RNA extraction and hybridization on Affymetrix microarrays. To identify the genes whose expression was induced by depolarization, we first compared gene expression profiles in control vs. 4 hr after KCl (25 mM) treated cortical neurons using Affymetrix Genechips specified for neurobiology. All four hybridizations were analyzed for correlation accuracy between the replicates of the same treatments .Control replicates (control 1, 2) KCl-treated replicates (KCl 1, 2)

ORGANISM(S): Rattus norvegicus

SUBMITTER: Hyun Kim

PROVIDER: E-GEOD-4472 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Kabuki Syndrome (KS) is a multisystemic rare disorder, characterized by growth delay, distinctive facial features, intellectual disability, and rarely autism spectrum disorder. This condition is mostly caused by de novo mutations of KMT2D, encoding a catalytic subunit of the COMPASS complex involved in enhancer regulation. KMT2D catalyzes the deposition of histone-3-lysine-4 mono-methyl (H3K4Me1) that marks active and poised enhancers. To assess the impact of KMT2D mutations in the chromatin landscape of KS tissues, we have generated patient-derived induced pluripotent stem cells (iPSC), which we further differentiated into neural crest stem cells (NCSC), mesenchymal stem cells (MSC) and cortical neurons (iN). In addition, we further collected blood samples from 5 additional KS patients. To complete our disease modeling cohort we generated an isogenic KMT2D mutant line from human embryonic stem cells, which we differentiated into neural precursor and mature neurons. Micro-electrode-array (MEA)-based neural network analysis of KS iNs revealed an altered pattern of spontaneous network-bursts in a Kabuki-specific pattern. RNA-seq profiling was performed to relate this aberrant MEA pattern to transcriptional dysregulations, revealing that dysregulated genes were enriched for neuronal functions, such as ion channels, synapse activity, and electrophysiological activity. Here we show that KMT2D haploinsufficiency tends to heavily affect the transcriptome of cortical neurons and differentiated tissues while sparing multipotent states, suggesting that KMT2D has a most prevalent role in terminally differentiated cell and activate transcriptional circuitry unique to each cell type. Moreover, thorough profiling of H3K4Me1 unveiled the almost complete uncoupling between this chromatin mark and the regulatory effects of KMT2D on transcription, which is instead reflected by a defect of H3K27Ac. By integrating RNA-seq with ChIP-seq data we defined TEAD and REST as the master effectors of KMT2D haploinsufficiency. Also, we identified a subset of genes whose regulation is controlled by the balance between KMT2D and EZH2 dosage. Finally, we identified the bona fide direct targets of KMT2D in healthy and KS mature cortical neurons and TEAD2 as the main proxy of KMT2D dysregulation in KS. Overall, our study provides the transcriptional and epigenomic characterization of patient-derived tissues as well as iPSCs and differentiated disease-relevant cell types, as well as the identification of KMT2D direct target in cortical neurons, together with the identification of a neuronal phenotype of the spontaneous electrical activity.

Dataset Information

Transcription profiling of rat depolarization induced gene from primary cortical neuron

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets