Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

48 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes

ABSTRACT: This SuperSeries is composed of the following subset Series: GSE38481: A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes [HumanRef-8 v3.0] GSE38484: A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes [HumanHT-12 V3.0] Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Simone de Jong

PROVIDER: E-GEOD-38485 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes.

de Jong Simone S Boks Marco P M MP Fuller Tova F TF Strengman Eric E Janson Esther E de Kovel Carolien G F CG Ori Anil P S AP Vi Nancy N Mulder Flip F Blom Jan Dirk JD Glenthøj Birte B Schubart Chris D CD Cahn Wiepke W Kahn René S RS Horvath Steve S Ophoff Roel A RA

PloS one 20120627 6

Despite large-scale genome-wide association studies (GWAS), the underlying genes for schizophrenia are largely unknown. Additional approaches are therefore required to identify the genetic background of this disorder. Here we report findings from a large gene expression study in peripheral blood of schizophrenia patients and controls. We applied a systems biology approach to genome-wide expression data from whole blood of 92 medicated and 29 antipsychotic-free schizophrenia patients and 118 heal ...[more]

PMID: 22761806

Similar Datasets

A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes [HumanRef-8 v3.0]

Project description:Gene expression analyses in whole blood reveal a network of genes related to schizophrenia Weighted gene co-expression analyses applied to human whole blood gene expression data of schizophrenia cases and healthy controls

2012-07-08 | E-GEOD-38481 | biostudies-arrayexpress

A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes [HumanHT-12 V3.0]

2012-07-08 | E-GEOD-38484 | biostudies-arrayexpress

Hippocampal gene expression analysis highlights Ly6a/Sca-1 as candidate gene for previously mapped novelty induced behaviors in mice

Project description:Using gene expression analysis to narrow down a behavioral QTL Hippocampus (left) dissected from frozen tissue of female CSS15F2 population using a punching procedure. N=37

2011-07-01 | E-GEOD-29289 | biostudies-arrayexpress

Integrated analysis of transcript level regulation of metabolism during human adipocyte differentiation [T0901317]

Project description:Here, we have focused on studying the link between metabolic changes driven by the differentiation into mature adipocytes of a human preadipocyte cell line (SGBS) and their regulation, through a combined experimental and computational approach. By collecting data on gene expression, PPARg, CEBPa, LXR and H3K4me3 genome-wide ChIP-seq profles and transcriptome-wide microRNA target identification for miR-27a, miR29a and miR-222, and using constraint-based modeling to estimate metabolic reaction activity, we obtained a comprehensive set of information highlighting how epigenetic, transcriptional and post-transcriptional regulation impacts the metabolic network. Illumina HT12 V3.0 microarrays: LXR ligand activation with 1 microM T0901317 for 4 h in SGBS day 10 differentiated adipocytes (6 samples, treatment vs control, in triplicate) This submission represents transcriptome component of study.

2013-11-19 | E-GEOD-41577 | biostudies-arrayexpress

Gene expression changes following chronic antipsychotic exposure in single cells from mouse striatum

Project description:Background. Schizophrenia is an idiopathic psychiatric disorder with a high degree of polygenicity. Evidence from genetics, single-cell, and pharmacological studies suggest an important overlap between genes involved in the etiology of schizophrenia and the cellular mechanisms of action of antipsychotics in medium spiny neurons (MSNs). Methods. We applied single-cell RNA-sequencing to striatal samples from C57BL/6J mice chronically exposed to a typical antipsychotic (haloperidol), an atypical antipsychotic (olanzapine), or placebo. We implemented careful statistical analyses to identify differentially expressed genes in two cell populations identified from the single-cell RNA-sequencing (MSNs and microglia) and applied multiple analysis pipelines to contextualize these findings. Results. Differential expression analysis showed that there was a larger share of differentially expressed genes (DEGs) in MSNs from mice treated with olanzapine vs. haloperidol. DEGs were enriched in broad loci implicated by genetic studies of schizophrenia, and we highlighted nine genes with convergent evidence. Pathway analyses highlighted alternative splicing, mitochondrial function, and neuron and synapse development as particularly engaged by antipsychotics. In microglia, we identified pathways involved in microglial activation and inflammation as part of the antipsychotic response. Conclusions. Our goal was to evaluate connections between schizophrenia genetic findings and cellular gene expression changes following antipsychotic exposure. We found that differential gene expression in MSNs from mice chronically treated with olanzapine converges on similar pathways and gene sets.

2021-04-14 | GSE171977 | GEO

ETV4 promotes metastasis in response to combined activation of PI3kinase and RAS signaling in a mouse model of advanced prostate cancer

Project description:Analysis of the transcriptome of mouse models of prostate cancer. NP (Nkx3.1CreERT2/+; Ptenfloxed/floxed) mice develop non-metastatic tumors while NPK (Nkx3.1CreERT2/+; Ptenfloxed/floxed; KrasG12D/+) mice develop metastatic tumors The NPK mice are also analyzed at early and late stages of tumorigenesis (1 vs. 3 months after induction) Total RNA obtained from prostate tumors of different genotypes and at different stages of dissease as indicated

2013-07-23 | E-GEOD-47697 | biostudies-arrayexpress

Cross-species analysis of genome-wide regulatory networks identifies a synergistic dependency between FOXM1 and CENPF that drives prostate cancer malignancy

Project description:Analysis of the transcriptome of mouse models of prostate cancer to assemble a mouse prostate cancer interactome. To assemble the mouse prostate cancer interactome, we collected 13 distinct mice or genetically-engineered mouse models (GEMMs), which together represent the full spectrum of prostate cancer phenotypes including: normal epithelium (i.e., wild-type), low-grade PIN (i.e., Nkx3.1 and APT), high-grade PIN and adenocarcinoma (i.e., APT-P; APC; Myc; NP; Erg-P; and NP53), castration-resistant prostate cancer (i.e., NP-AI), and metastatic prostate cancer (i.e., NPB; NPK; and TRAMP). To further enhance the heterogeneity afforded by this diversity of mouse models, we pharmacologically perturbed each GEMM using 13 different drugs (or appropriate vehicle). The resulting mouse prostate tissue/tumor dataset encompassed 384 expression profiles Total RNA obtained from prostate tumors/tissues of 13 mouse models of prostate cancer treated with 13 different drugs for 5 consecutive days. Prostate tumors/tissues were harvested and processed for RNA isolation and transcriptome analysis.

2014-05-12 | E-GEOD-53202 | biostudies-arrayexpress

Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models (I)

Project description:Analysis of the transcriptome of mouse models of prostate cancer after treatment with rapamycin and PD0325901 combination therapy or standard of care docetaxel. The Nkx3.1CreERT2/+; Ptenflox/flox; KrasLSL-G12D/+ (NPK mice) was used in this study. Two months after tumor induction, mice were randomly assigned to vehicle (Veh) or treatments groups, such as rapamycin and PD0325901 (RAPPD) or docetaxel (Docetaxel). For the treatment groups mice were administered rapamycin (10 mg/kg) and PD0325901 (10 mg/kg) or docetaxel (10 mg/kg) for 5 days (SHORT) or for 1 month (LONG). At the end of the treatment, mice were euthanized, tumors harvested and snap frozen for subsequent molecular analysis. Total RNA obtained from prostate tumors/tissues. Prostate tumors/tissues were harvested and processed for RNA isolation and transcriptome analysis using the MagMAX RNA isolation kit (Ambion). Total RNA was amplified and labelled for subsequent microarrays hybridization using the Illumina TotalPrep RNA Amplification Kit.

2015-09-17 | E-GEOD-69211 | biostudies-arrayexpress

Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models (II)

Project description:Analysis of the transcriptome of allografted mouse tumors after treatment with rapamycin and PD0325901. Nkx3.1CreERT2/+; Ptenflox/flox; KrasLSL-G12D/+ (NPK mice) were induced and their tumors removed to generate allograft lines by implanting a 1.5 mm3 tumor fragment in the subcutaneous space of athymic nude mice. Allografted NPK tumors were allowed to grow until they reached a volume of 1 cm3, at which moment they were randomly assigned to either vehicle (Veh) or combination therapy using rapamycin and PD0325901 (RAPPD). Allografted mice were administered rapamycin (10 mg/kg) and PD0325901 (10 mg/kg) during five consecutive days (Allo SHORT). Mice were euthanized in the fifth day 6 hours after having received the last treatment and the tumors were harvested and snap frozen for subsequent molecular analysis. Total RNA obtained from prostate tumors/tissues. Prostate tumors/tissues were harvested and processed for RNA isolation and transcriptome analysis using the MagMAX RNA isolation kit (Ambion). Total RNA was amplified and labelled for subsequent microarrays hybridization using the Illumina TotalPrep RNA Amplification Kit.

2015-09-17 | E-GEOD-69213 | biostudies-arrayexpress

Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2015-09-17 | E-GEOD-69214 | biostudies-arrayexpress