Name: Proteomics of Brain Proteome Revealed Altered Mitochondrial Function in Alzheimer Disease
Keywords: Human brain

Dataset Information

Proteomics of Brain Proteome Revealed Altered Mitochondrial Function in Alzheimer Disease

ABSTRACT: A discovery-driven approach with isobaric tag for relative and absolute quantitation (iTRAQ) and label-free quantitative proteomics was used to profiled the mitochondrial proteome in human brain tissues of healthy and AD individuals.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Brain

DISEASE(S): Alzheimer's Disease

SUBMITTER: Sunil Adav

LAB HEAD: Prof Sze S K

PROVIDER: PXD012203 | Pride | 2019-02-01

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	140725_Sunil_iTRAQ_AD_01_A.raw	Raw
	140725_Sunil_iTRAQ_AD_01_B.raw	Raw
	140725_Sunil_iTRAQ_AD_01_C.raw	Raw
	140725_Sunil_iTRAQ_AD_02_A.raw	Raw
	140725_Sunil_iTRAQ_AD_02_B.raw	Raw

Items per page:

1 - 5 of 62

Publications

Quantitative profiling brain proteomes revealed mitochondrial dysfunction in Alzheimer's disease.

Adav Sunil S SS Park Jung Eun JE Sze Siu Kwan SK Sze Siu Kwan SK

Molecular brain 20190128 1

Mitochondrial dysfunction is a key feature in both aging and neurodegenerative diseases including Alzheimer's disease (AD), but the molecular signature that distinguishes pathological changes in the AD from healthy aging in the brain mitochondria remain poorly understood. In order to unveil AD specific mitochondrial dysfunctions, this study adopted a discovery-driven approach with isobaric tag for relative and absolute quantitation (iTRAQ) and label-free quantitative proteomics, and profiled the ...[more]

PMID: 30691479

Similar Datasets

Project description:Living organisms detect seasonal changes in day length (photoperiod), and alter their physiological functions accordingly, to fit seasonal environmental changes. This photoperiodic system is implicated in seasonal affective disorders and the season-associated symptoms observed in bipolar disease and schizophrenia. Thyroid-stimulating hormone beta subunit (Tshb), induced in the pars tuberalis (PT), plays a key role in the pathway that regulates animal photoperiodism. However, the upstream inducers of Tshb expression remain unknown. Here we show that late-night light stimulation acutely triggers the Eya3-Six1 pathway, which directly induces Tshb expression. Using melatonin-proficient CBA/N mice, which preserve the photoperiodic Tshb-expression response, we performed a genome-wide expression analysis of the PT under chronic short-day and long-day conditions. These data comprehensively identified long-day and short-day genes, and indicated that late-night light stimulation induces long-day genes. We verified this by advancing and extending the light period by 8 hours, which acutely induced Tshb expression, within one day. In a genome-wide expression analysis under this condition, we searched for candidate upstream genes by looking for expression that preceded Tshb’s, and identified Eya3 gene. These results elucidate the comprehensive transcriptional photoperiodic response in the PT, revealing the complex regulation of Tshb expression and unexpectedly rapid response to light changes in the mammalian photoperiodic system. Mice were separated into 2 groups. One group was maintained under the short-day conditions (light: dark = 8 h:16 h, ZT0 = lights on, ZT8 = lights off, 400 lux) and the other was housed under long-day conditions (light:dark = 16 h:8 h, ZT0 = lights on, ZT16 = lights off, 400 lux) for 2 weeks. The PTs of both groups were retrieved every 4 h for 1 day (6 time points for each group), starting at ZT0. For the experiments performed during the first day of the long-day conditions, we applied two different conditions, following 3 weeks under short-day conditions. In one, the light-onset was advanced by 8 hours (advance condition), and in the other, the dark period was delayed by 8 hours (delay condition). PTs from both groups were obtained every 4 h for 1 day, starting at the lights-on time. (Lights on for the advance condition was ZT16 as defined by the short-day condition. Lights on for the delay condition was ZT0). We sampled 25 mice at each time point. This whole procedure was repeated twice (n = 2) to obtain experimental replicates.

Project description:Schizophrenia is a chronic mental illness that is among the world’s top twenty causes of years lost to disability according to the global burden of disease 2019 (10.1016/S0140-6736(20)30925-9). Positive symptoms, including hallucinations and delusions in schizophrenia, often improved with conventional antipsychotic medication, which exerts its therapeutic effects mainly by antagonizing the dopamine D2 receptors. Haloperidol was one of the first antipsychotics to be approved by the FDA, and it is since then widely used for the treatment of psychotic disorders including schizophrenia. Despite its high affinity for dopamine D2 receptors, it has been shown that haloperidol interacts with other receptors, such as dopamine D3 and D4 receptors, α-adrenergic receptor 1 and to some extent 5HT2A. Dopaminergic dysfunction is known for decades to be involved in the pathophysiology of schizophrenia, but only recently has the striatum been implicated in such devasting disorder. The dorsal striatum is a brain region involved in motor, cognitive and motivational functions, highly impacted by antipsychotic drugs. Particularly, it is well-recognized that chronic haloperidol administration has a tremendous impact on striatal synaptic plasticity, by changing the volume of dorsal striatum, the number of striatal neurons and the synaptic morphology, both in humans and rodents. Despite the overwhelming evidence correlating chronic haloperidol administration with striatum alterations, so far, the exact striatal synaptic mechanism by which haloperidol exerts its beneficial effects remains unclear. Although dopamine D2 receptor blockade can be achieved within hours after haloperidol administration, the onset of action is delayed by weeks. Thus, it is crucial to better understand the neuronal mechanism behind the delayed clinical effects of haloperidol to improve the treatment outcome. Using proteomic analysis and whole-cell patch-clamp recordings (Figure 1), we demonstrate for the first time a possible mechanism by which haloperidol may be contributing to its beneficial long-term therapeutic effect. Specifically, we demonstrate that modulation of D2-MSNs by chronic haloperidol administration leads to a slow remodeling of D1-neurons that may be responsible for its positive therapeutic effects.

Project description:Prion infection results in progressive neurodegeneration of the central nervous system invariably resulting in death. The pathological effects of prion diseases in the brain are morphologically well defined, such as gliosis, vacuolation, and the accumulation of disease-specific protease-resistant prion protein (PrPSc). However, the underlying molecular events that lead to the death of neurons are poorly characterised. In this study cDNA microarrays were used to profile gene expression changes in the brains of two different strains of mice infected with three strains of mouse-adapted scrapie. Extensive data was collected and analyzed, from which we identified a core group of 349 prion-related genes (PRGs) that consistently showed altered expression in mouse models. Gene ontology analysis assigned many of the up-regulated genes to functional groups associated with one of the primary neuropathological features of prion diseases, astrocytosis and gliosis; protein synthesis, inflammation, cell proliferation and lipid metabolism. Using a computational tool, Ingenuity Pathway Analysis (IPA), we were able to build networks of interacting genes from the PRG list. The regulatory cytokine TGFB1, involved in modulating the inflammatory response, was identified as the outstanding interaction partner for many of the PRGs. The majority of genes expressed in neurons were down-regulated; a number of these were involved in regulatory pathways including synapse function, calcium signalling, long-term potentiation and ERK/MAPK signalling. Two down-regulated genes coding for the transcription regulators, EGR1 and CREB1, were also identified as central to interacting networks of genes; these factors are often used as markers of neuronal activity and their deregulation could be key to loss of neuronal function. These data provides a comprehensive list of genes that are consistently differentially expressed in multiple scrapie infected mouse models. Building networks of interactions between these genes provides a means to understand the complex interplay in the brain during neurodegeneration. Resolving the key regulatory and signaling events that underlie prion pathogenesis will provide targets for the design of novel therapies and the elucidation of biomarkers. Keywords: disease state analysis C57BL/6 mice were inoculated by intracerebral infection of brain homogenate from mice clinically infected with the ME7, 79a and 22A strains of scrapie. In addition VM mice were also inoculated with the 22A scrapie strain. Mice were sacrificed at the onset of clinical diseases as manifested by uncoordinated gait, flaccid paralysis of the hind limbs, rigidity and abolishment of the righting reflex. Brain tissue was collected from these mice and the RNA isolated. Mouse CNS gene expression was analysed by two-colour microarray experiments using an in house manufactured 11K mouse cDNA microarray. RNA from individual infected mice was hybridized to each array versus pooled reference RNA from an equivalent number of age-matched, mock-infected control mice. In total we hybridized 34 different samples to microarrays in this experiment; 8-10 individual mice from each of the four sample groups were individually processed for separate microarrays. Hierachical clustering shows that the patterns of gene expression are for the most part common to the different mouse models . We used the program EDGE to identify genes that were differentially expressed in mouse brain during clinical disease. We used a P value cut-off of 0.05 as the criteria for selection of significantly differentially expressed genes. A similar design was used to determine gene expression profiles from C57BL/6 mice infected with a fourth strain of scrapie, RML. Total RNA from three mice, plus dye swaps, was hybridized to Agilent whole genome mouse arrays to validate genes identified using our manufactured BMAP arrays.