Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Schizophrenia brain proteomic analysis

ABSTRACT: The purpose of the study was to identify altered molecular networks in the prefrontal cortex of schizophrenia patients by comparing protein expression levels in autopsied brains of patients (n=10) and controls (n=10), using aquantitative proteomics.

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Sumio Ohtsuki

PROVIDER: PXD008227 | JPOST Repository | Mon Jan 01 00:00:00 GMT 2018

REPOSITORIES: jPOST

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	Data121228_Takizawa_plasma%20mem2.wiff	Wiff
	Data121228_Takizawa_plasma%20mem2.wiff.scan	Wiff
	Data121228_Takizawa_plasma%20mem24.wiff.scan	Wiff
	Data121228_Takizawa_plasma%20mem26.wiff	Wiff
	Data121228_Takizawa_plasma%20mem26.wiff.scan	Wiff

Items per page:

1 - 5 of 20

Publications

Downregulation of GNA13-ERK network in prefrontal cortex of schizophrenia brain identified by combined focused and targeted quantitative proteomics.

Hirayama-Kurogi Mio M Takizawa Yohei Y Kunii Yasuto Y Matsumoto Junya J Wada Akira A Hino Mizuki M Akatsu Hiroyasu H Hashizume Yoshio Y Yamamoto Sakon S Kondo Takeshi T Ito Shingo S Tachikawa Masanori M Niwa Shin-Ichi SI Yabe Hirooki H Terasaki Tetsuya T Setou Mitsutoshi M Ohtsuki Sumio S

Journal of proteomics 20170216

Schizophrenia is a disabling mental illness associated with dysfunction of the prefrontal cortex, which affects cognition and emotion. The purpose of the present study was to identify altered molecular networks in the prefrontal cortex of schizophrenia patients by comparing protein expression levels in autopsied brains of patients and controls, using a combination of targeted and focused quantitative proteomics. We selected 125 molecules possibly related to schizophrenia for quantification by kn ...[more]

PMID: 28214564

Similar Datasets

Expression data from post mortem Alzheimer's disease brains

Project description:To identify molecular pathological alterations in AD brains, we performed interspecies comparative microarray analyses using RNAs prepared from postmortem human brain tissues donated for the Hisayama study and hippocampal RNAs from the triple-transgenic mouse model of AD (3xTg-AD) Three-way ANOVA of microarray data from frontal cortex, temporal cortex and hippocampus with presence/absence of AD and vascular dementia, and sex, as factors revealed that the gene expression profile is most significantly altered in the hippocampi of AD brains. Comparative analyses of the brains of AD patients and a mouse model of AD showed that genes involved in non-insulin dependent DM and obesity were significantly altered in both, as were genes related to psychiatric disorders and Alzheimer’s disease. We prepared RNA samples from the gray matter of frontal and temporal cortices and hippocampi derived from 88 postmortem brains, among which 26 cases were pathologically diagnosed as having AD or an AD-like disorder. High-quality RNA (RIN≧6.9) samples were subjected to microarray analysis using the Affymetrix Human Gene 1.0 ST platform, and only those results that passed examinations for quality assurance and quality control of the Human Gene 1.0 ST arrays were retrieved. In total, we obtained gene expression profiles from the following samples: 33 frontal cortex samples, among which 15 were from AD patients; 29 temporal cortex samples, among which 10 were from AD patients; 17 hippocampus samples, among which seven were from AD patients

2013-04-17 | E-GEOD-36980 | biostudies-arrayexpress

Multi-tissue gene expression profiles of human brain (CR)

Project description:The genetics of complex disease produce alterations in molecular interactions of cellular pathways which collective effect may become clear through the organized structure of molecular networks. To characterize molecular systems associated with late-onset Alzheimer´s disease (LOAD), we constructed gene regulatory networks in hundreds of autopsied brain tissues from LOAD patients and non-demented subjects. We demonstrate that LOAD reconfigures specific portions of the molecular interaction structure, and via an integrative network-based approach we rank ordered these sub-networks (modules) for relevance to LOAD pathology, highlighting the immune/microglia module as the top ranking. Through a Bayesian inference approach we identified multiple key causal regulators for LOAD brains. Autopsied tissues from dorsolateral prefrontal cortex (PFC), visual cortex (VC) and cerebellum (CR) in brains of LOAD patients, and non-demented healthy controls, collected through the Harvard Brain Tissue Resource Center (HBTRC), were profiled on a custom-made Agilent 44K array (GPL4372_1). All subjects were diagnosed at intake and each brain underwent extensive LOAD-related pathology examination. Gene expression analyses were adjusted for age and sex, postmortem interval (PMI) in hours, sample pH and RNA integrity number (RIN). In the overall cohort of LOAD and non-demented brains the mean ± SD for sample PMI, pH and RIN were 17.8±8.3, 6.4±0.3 and 6.8±0.8, respectively. 230 samples with all PFC, VC, and CR tissue profiled were included for further multi-tissue analysis.

2013-04-25 | E-GEOD-44768 | biostudies-arrayexpress

Multi-tissue gene expression profiles of human brain (VC)

2013-04-25 | E-GEOD-44771 | biostudies-arrayexpress

Multi-tissue gene expression profiles of human brain (PFC)

2013-04-25 | E-GEOD-44770 | biostudies-arrayexpress

DNA methylation in postmortem brain samples from autism cases and controls

Project description:We used the Illumina 450KMethylation BeadChip to measure DNA methylation at 485,512 loci across the genome for 40 postmortem brain samples. The purpose of our study was to identify differentially methylated regions (DMRs) associated with autism. Samples included 16 temporal cortex brain tissue samples (6 cases and 10 controls), 11 prefrontal cortex brain tissue samples (6 cases and 5 controls), and 13 cerebellum brain tissue samples (7 cases and 6 controls).

2013-12-12 | GSE53162 | GEO

Gene expression changes across multiple regions of the Parkinson’s disease brain

Project description:We have used microarrays to analyze gene expression in Parkinson’s disease (PD). We used four different brain regions, including two that are relatively affected in PD (striatum and cortex) and two that are relatively spared (cerebellum and medulla). We show that while differences between brain regions are strong, expression profile differences between PD and controls are much more modest and that genome-wide significant differences are restricted to the striatum and cerebral cortex. RNA (aRNA) was generated from 500ng of total RNA from the medulla (n=15 control brains, n=14 PD brains), striatum (n=15 control brains, n = 15 PD brains), frontal cortex (n=15 control brains, n = 11 PD brains) and cerebellum (n = 14 control brains, n=15 PD brains).

2011-07-21 | E-GEOD-28894 | biostudies-arrayexpress

Methylomic profiling of human brain tissue supports a neurodevelopmental origin for schizophrenia.

Project description:Background: Schizophrenia is a severe neuropsychiatric disorder that is hypothesized to result from disturbances in early brain development, and there is mounting evidence to support a role for developmentally-regulated epigenetic variation in the molecular etiology of the disorder. Here, we describe a systematic study of schizophrenia-associated methylomic variation in the adult brain and its relationship to changes in DNA methylation across human fetal brain development. Results: We profile methylomic variation in matched prefrontal cortex and cerebellum brain tissue from schizophrenia patients and controls, identifying disease-associated differential DNA methylation at multiple loci, particularly in the prefrontal cortex, and confirming these differences in an independent set of adult brain samples. Our data reveal discrete modules of co-methylated loci associated with schizophrenia that are enriched for genes involved in neurodevelopmental processes and include loci implicated by genetic studies of the disorder. Methylomic data from human fetal cortex samples, spanning 23 to 184 days post-conception, indicates that disease-associated differentially methylated positions are significantly enriched for loci at which DNA methylation is dynamically altered during human fetal brain development. Conclusions: Our data support the hypothesis that schizophrenia has an important early neurodevelopmental component, and suggest that epigenetic mechanisms may mediate these effects. Prefrontal cortex (PFC) and cerebellum samples were obtained from 46 brains archived in the London Brain Bank for Neurodegenerative Disorders (LBBND). Of these 22 were schizophrenia cases, ands of the cases 12 were male.

2014-09-18 | E-GEOD-61431 | biostudies-arrayexpress

DNA methylation in postmortem brain samples from autism cases and controls

2013-12-12 | E-GEOD-53162 | biostudies-arrayexpress

Expression data from Alzheimer's disease model mouse

2013-04-17 | GSE36981 | GEO

Expression data from post mortem Alzheimer's disease brains

2013-04-17 | GSE36980 | GEO