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Expression data SK-N-SH cells treated with risperidone

ABSTRACT: We performed a pharmacotranscriptomic analysis of a human neuroblastoma cell line (SK-N-SH) exposed to risperidone to identify molecular mechanisms involved in the cellular response to risperidone and thus identify candidate genes for pharmacogenetic studies. This study is a part of a convergent functional genomic approach that plans to integrate the data presented here with: data from gene expression analysis of experimental animal brain under treatment with risperidone; and data from gene expression analysis of peripheral blood from first psychotic patients treated with risperidone.

ORGANISM(S): Homo sapiens

PROVIDER: GSE36678 | GEO | 2012/03/22

SECONDARY ACCESSION(S): PRJNA153585

REPOSITORIES: GEO

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Expression data SK-N-SH cells treated with risperidone

Project description:We performed a pharmacotranscriptomic analysis of a human neuroblastoma cell line (SK-N-SH) exposed to risperidone to identify molecular mechanisms involved in the cellular response to risperidone and thus identify candidate genes for pharmacogenetic studies. This study is a part of a convergent functional genomic approach that plans to integrate the data presented here with: data from gene expression analysis of experimental animal brain under treatment with risperidone; and data from gene expression analysis of peripheral blood from first psychotic patients treated with risperidone. Gene expression was assessed by microarray (Human Genome U219 Array) in cells treated with risperidone 10 ÂµM at 6, 24 and 48 h

2012-03-22 | E-GEOD-36678 | biostudies-arrayexpress

Network analysis of gene expression in mice provides new evidence of involvement of the mTOR pathway in antipsychotic-induced extrapyramidal symptoms

Project description:To identify potential candidate genes for future pharmacogenetic studies of antipsychotic (AP)-induced extrapyramidal symptoms (EPS), we used gene expression arrays to analyze changes induced by risperidone in mice strains with different susceptibility to EPS This study is a part of a convergent functional genomic approach that plans to integrate the data presented here with: data from gene expression analysis of neuroblastoma cell line under treatment with risperidone; and data from gene expression analysis of peripheral blood from first psychotic patients treated with risperidone. Gene expression was assessed by microarray (Affymetrix GeneChip® Arrays MG 430 PM) in mice treated with risperidone 1mg/kg for three consecutive days

2015-04-09 | E-GEOD-67723 | biostudies-arrayexpress

Network analysis of gene expression in mice provides new evidence of involvement of the mTOR pathway in antipsychotic-induced extrapyramidal symptoms

2015-04-09 | GSE67723 | GEO

Deciphering risperidone-induced lipogenesis by network pharmacology and molecular validation

Project description:Risperidone is an atypical antipsychotic that can cause substantial weight gain. The pharmacological targets and molecular mechanisms related to risperidone-induced lipogenesis (RIL) remain to be elucidated. Therefore, network pharmacology and further experimental validation were undertaken to explore the action mechanisms of RIL. In this study, RIL was systematically analyzed using integrating multiple databases through integrated network pharmacology, transcriptomics, molecular docking, and molecular experiment analysis. The potential signaling pathways for RIL were identified and experimentally validated using Gene Ontology (GO) enrichment and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Our experimental data showed that Risperidone promotes adipocyte differentiate and lipid accumulation. And network pharmacology and GO analyses showed that risperidone induced adipocyte metabolism, differentiation, and lipid accumulation related functions. Intersecting analysis, molecular docking, and pathway validation analysis indicated that risperidone activated adipocytokine signaling pathway related genes by targeting MAPK14 (Mitogen-activated protein kinase 14), MAPK8 (Mitogen-activated protein kinase 8), and RXRA (Retinoic acid receptor RXR-alpha), thereby inhibiting long-chain fatty acid beta-oxidation by suppressing STAT3 (Signal transducer and activator of transcription 3) expression and phosphorylation. This study suggested that Risperidone increases adipocyte lipid accumulation by plausible inhibiting long-chain fatty acid beta-oxidation through targeting MAPK14, MAPK8, and RXRA.

2022-05-11 | GSE198053 | GEO

SK-N-SH Hi-C

Project description:Hi-C was performed on SK-N-SH cells to study 3-dimensional chromatin architecture. Two biological replicates were performed, each with roughly 25x10^7 cells.

2015-09-01 | E-GEOD-71072 | biostudies-arrayexpress

ChIP-seq from SK-N-SH (ENCSR000FCR)

Project description:H3K4me1 SK-N-SH ChIP-Seq For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_Data_Use_Policy_for_External_Users_03-07-14.pdf

2016-10-14 | GSE86669 | GEO

ChIP-seq from SK-N-SH (ENCSR000FCT)

Project description:H3K9me3 SK-N-SH ChIP-Seq For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_Data_Use_Policy_for_External_Users_03-07-14.pdf

2016-10-14 | GSE86671 | GEO

ChIP-seq from SK-N-SH (ENCSR000FCS)

Project description:H3K4me3 SK-N-SH ChIP-Seq For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_Data_Use_Policy_for_External_Users_03-07-14.pdf

2016-10-14 | GSE86670 | GEO

ChIP-seq from SK-N-SH (ENCSR000FCV)

Project description:H3K36me3 SK-N-SH ChIP-Seq For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_Data_Use_Policy_for_External_Users_03-07-14.pdf

2016-10-14 | GSE86673 | GEO

ChIP-seq from SK-N-SH (ENCSR000FCU)

Project description:H3K27ac SK-N-SH ChIP-Seq For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_Data_Use_Policy_for_External_Users_03-07-14.pdf

2016-10-14 | GSE86672 | GEO

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