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At least 433 records · Page 24Linked to original sources
PubMed2002

Preparative two-dimensional gel electrophoresis at alkaline pH using narrow range immobilized pH gradients.

A reproducible high-resolution protein separation method is the basis for a successful differential proteome analysis. Of the techniques currently available, two-dimensional gel electrophoresis is most widely used, because of its robustness under various experimental conditions. With the introduction of narrow range immobilized pH gradient (IPG) strips (also referred to as ultra-zoom gels) in the first dimension, the depth of analysis, i.e. the number of proteins that can be resolved, has increased substantially. However, for poorly understood reasons isoelectric focusing on ultra-zoom gels in the alkaline region above pH 7 has suffered from problems with resolution and reproducibility. To tackle these difficulties we have optimized the separation of semipreparative amounts of proteins on alkaline IPG strips by focusing on two important phenomena: counteracting water transport during isoelectric focusing and migration of dithiothreitol (DTT) in alkaline pH gradients. The first problem was alleviated by the addition of glycerol and isopropanol to the focusing medium, leading to a significant improvement in the resolution above pH 7. Even better results were obtained by the introduction of excess of the reducing agent DTT at the cathode. With these adaptations together with an optimized composition of the IPG strip, separation efficiency in the pH 6.2-8.2 range is now comparable to the widely used acidic ultra-zoom gels. We further demonstrated the usefulness of these modifications up to pH 9.5, although further improvements are still needed in that range. Thus, by extending the range covered by conventional ultra-zoom gels, the depth of analysis of two-dimensional gel electrophoresis can be significantly increased, underlining the importance of this method in differential proteomics.

2-Propanol↗
PubMed2003

Proteomics in Alzheimer's disease: insights into potential mechanisms of neurodegeneration.

Proteomics involves the identification of unknown proteins following their separation, often using two-dimensional electrophoresis, digestion of particular proteins of interest by trypsin, determination of the molecular weight of the resulting peptides, and database searching to make the identification of the proteins. Application of proteomics to Alzheimer's disease (AD), the major dementing disorder of the elderly, has just begun. Differences in protein expression and post-translational modification (mostly oxidative modification) of proteins from AD brain and peripheral tissue, as well as in brain from rodent models of AD, have yielded insights into potential molecular mechanisms of neurodegeneration in this dementing disorder. This review surveys the proteomics studies relevant to AD, from which new understandings of the pathology, biochemistry, and physiology of AD are beginning to emerge.

Alzheimer Disease↗
PubMed2003

Biochemical and molecular studies using human autopsy brain tissue.

The use of human brain tissue obtained at autopsy for neurochemical, pharmacological and physiological analyses is reviewed. RNA and protein samples have been found suitable for expression profiling by techniques that include RT-PCR, cDNA microarrays, western blotting, immunohistochemistry and proteomics. The rapid development of molecular biological techniques has increased the impetus for this work to be applied to studies of brain disease. It has been shown that most nucleic acids and proteins are reasonably stable post-mortem. However, their abundance and integrity can exhibit marked intra- and intercase variability, making comparisons between case-groups difficult. Variability can reveal important functional and biochemical information. The correct interpretation of neurochemical data must take into account such factors as age, gender, ethnicity, medicative history, immediate ante-mortem status, agonal state and post-mortem and post-autopsy intervals. Here we consider issues associated with the sampling of DNA, RNA and proteins using human autopsy brain tissue in relation to various ante- and post-mortem factors. We conclude that valid and practical measures of a variety of parameters may be made in human brain tissue, provided that specific factors are controlled.

Autopsy↗
PubMed2004

All about DIGE: quantification technology for differential-display 2D-gel proteomics.

2D polyacrylamide gel electrophoresis has been the traditional workhorse of proteomics, allowing for the resolution of several thousand proteins in a single gel. Difference gel electrophoresis is an emerging technology that allows for accurate quantification with statistical confidence while controlling for nonbiologic variation, and also increases the dynamic range and sensitivity of traditional 2D polyacrylamide gel electrophoresis. With inclusion of an internal standard formed from equal amounts of every sample in an experiment, difference gel electrophoresis technology also allows for repetitive measurements and multivariable analyses to be quantitatively analyzed in one co-ordinated experiment, yielding statistically-significant changes in protein expression related to many disease states. This technique promises to be an important tool in clinical proteomics and the study of the mechanism of disease, investigating diagnostic biomarkers and pinpointing novel therapeutic targets.

Animals↗
PubMed2001

Decreased protein levels of stathmin in adult brains with Down syndrome and Alzheimer's disease.

Stathmin, distributed in neurons with high abundance, acts as an intracellular relay, integrating various transduction pathways triggered by extracellular signals and it is involved in physiological regulation of microtubule destabilization. Stathmin has been also shown to be a critical molecule in pathology of neurodegeneration such as Alzheimer's disease (AD), particularly, in neurofibrillary tangle (NFT) formation. Here we evaluated protein levels of stathmin in adult brain from patients with AD and Down syndrome (DS) showing AD-like pathology by applying proteomic technologies with two-dimensional (2-D) gel electrophoresis, matrix-assisted laser desorption ionization mass spectroscopy (MALDI-MS) identification and specific software for quantification of proteins. Significantly decreased protein levels of stathmin were observed in frontal (2.12+/-1.17, n = 6) and temporal (3.05+/-2.81, n = 10) cortices of AD compared to controls (frontal cortex: 4.41+/-1.70, n = 8; temporal cortex: 5.26+/-2.26, n = 13). Stathmin was also significantly decreased in frontal (2.47+/-1.11, n = 7) and temporal (2.02+/-1.18, n = 9) cortices of DS. We also investigated stathmin levels in fetal brain. Stathmin was not significantly changed between fetal DS brain and controls. We suggest that the decreased protein level of stathmin in brains is associated with tangle formation and microtubule instability in DS as well as AD, but stathmin is not involved in the abnormal development of fetal DS brain.

Adult↗
PubMed2004

Alterations in rat brain proteins after desflurane anesthesia.

BACKGROUND: Volatile anesthetics disappear from an organism after the end of anesthesia. Whether changes of protein expression persist in the brain for a longer period is not known. This study investigates the question of whether the expression of proteins is altered in the rat brain after the end of desflurane anesthesia. METHODS: Three groups (n = 12 each) of rats were anesthetized with 5.7% desflurane in air for 3 h. Brains were removed directly after anesthesia, 24 h after anesthesia, or 72 h after anesthesia. Two additional groups (n = 12 each) served as naive conscious controls, in which the brains were removed without previous anesthesia 3 or 72 h after the start of the experiment. Cytosolic proteins were isolated. A proteome-wide study was performed, based on two-dimensional gel electrophoresis and mass spectrometry. RESULTS: Compared with conscious controls, significant (P < 0.05) increase/decrease was found: 3 h of anesthesia, 5/2 proteins; 24 h after anesthesia, 13/1 proteins; 72 h after anesthesia, 6/4 proteins. The overall changes in protein expression as quantified by the induction factor ranged from -1.67 (decrease to 60%) to 1.79 (increase by 79%) compared with the controls (100%). Some of these regulated proteins play a role in vesicle transport and metabolism. CONCLUSION: Desflurane anesthesia produces changes in cytosolic protein expression up to 72 h after anesthesia in the rat brain, indicating yet unknown persisting effects.

Anesthesia, Inhalation↗
PubMed2005

Estimation of the mtDNA mutation rate in aging mice by proteome analysis and mathematical modeling.

The accumulation of mitochondria containing mutated genomes was proposed to be an important factor involved in aging. Although the level of mutated mtDNA has shown to increase over time, it is currently not possible to directly measure the mtDNA mutation rate within living cells. The combination of mathematical modeling and controlled experiments is an alternative approach to obtain an estimate for the mutation rate in a well-defined system. In order to judge the relevance of mitochondrial mutations for the aging process, we used a mouse model to study age-related alterations of the mitochondrial proteins. Based on these experimental data we constructed a mathematical model of the mitochondrial population dynamics to estimate mtDNA mutation rates. Mitochondria were isolated from mouse brain and liver at six different ages (newborn to 24-months). A large-gel 2D-electrophoresis-based proteomics approach was used to analyze the mitochondrial proteins. The expression of two respiratory chain complex I subunits and one complex IV subunit decreased significantly with age. One subunit of complex III and one subunit of complex V increased in expression during aging. Together, these data indicate that complex I and IV deficiency in aged tissues might be accompanied by feedback regulation of other protein complexes in the respiratory chain. When we fitted our experimental data to the mathematical model, mtDNA mutation rate was estimated to be 2.7x10(-8) per mtDNA per day for brain and 3.2x10(-9) per mtDNA per day for liver. According to our model and in agreement with the mitochondrial theory of aging, mtDNA mutations could cause the detrimental changes seen in mitochondrial populations during the normal lifespan of mice, while at the same time ensure that the mitochondrial population remains functional during the developmental and reproductive period of mice.

Aging↗
PubMed2026

Multi-omics profiling of cerebrospinal fluid in autoimmune encephalitis: insights into pathogenesis and therapeutic targets.

BACKGROUND: Autoimmune encephalitis (AIE) is a rare, severe inflammatory brain disease, with its pathogenesis not yet fully elucidated. This study aimed to characterize proteomic and metabolomic alterations in the cerebrospinal fluid (CSF) of AIE patients and identify potential therapeutic targets. METHODS: 65 consecutive AIE patients and age-matched concurrent controls were enrolled, respectively. Clinical characteristics, including blood and CSF laboratory findings, were compared between the two groups, and CSF samples were collected for multi-omics analysis. Differentially expressed proteins (DEPs) and metabolites (DEMs) between AIE patients and controls were identified using data-independent acquisition-based proteomics and targeted liquid chromatography-mass spectrometry-based metabolomics, followed by integrated multi-omics analysis. RESULTS: Compared with controls, AIE patients had lower levels of triglyceride and C1q, but higher HDL-CH levels, neutrophil counts, and eosinophil counts in blood. CSF leukocyte, erythrocyte, lymphocyte, and mononuclear cell counts were also elevated in AIE patients. Proteomic analysis identified 163 DEPs, with enrichment of 87 canonical pathways primarily associated with immune-inflammatory responses, neuronal-synaptic dysfunction, and cell signaling and metabolic pathways. Metabolomic analysis recognized 21 DEMs, predominantly amino acids, lipids, and carbohydrates, which were involved in lipid-carbohydrate metabolism and immune regulation. Integrated multi-omics analysis validated these findings and identified several potential therapeutic targets for AIE, including the IL6-STAT3 axis. CONCLUSIONS: Integrated multi-omics analysis systematically delineates cellular and molecular alterations underlying AIE. Immune-inflammatory response and lipid metabolism are pivotal in AIE progression and the IL6-STAT3 axis holds promise as a potential therapeutic target.

Humans↗
PubMed2026

Mice with the mono-allelic p.R37H Dhdds variant show aberrant glycosylation and interneuron deficits.

Developmental delay and seizures with or without movement abnormalities (OMIM 617836) caused by heterozygous pathogenic variants in the DHDDS gene (DHDDS-CDG) is a rare genetic disease that belongs to the progressive encephalopathy spectrum. It results in cognitive delay in affected children, accompanied by myoclonus, seizures, ataxia and tremor, which worsens over time. DHDDS encodes a subunit of a DHDDS/NUS1 cis-prenyltransferase (cis-PTase), a branch point enzyme of the mevalonate pathway essential for N-linked glycosylation. We describe the first mouse model of this disease, DhddsR37H+/- strain, heterozygous for the human recurrent de novo c.110G>A:p.R37H pathogenic variant. DhddsR37H+/- mice present with seizures, myoclonus and memory deficits associated with reduced density or/and maturity of inhibitory interneurons in the cortex. Multiomics analyses of mouse CNS tissues, together with the enzymatic/structural characterization of the R37H DHDDS mutant protein, reveal that the variant produces a catalytically inactive enzyme and results in a brain dolichol deficit, aberrant glycosylation of brain glycoproteins, including those involved in synaptic transmission and major perturbations in the CNS proteome and lipidome. Acetazolamide, a carbonic anhydrase inhibitor clinically approved for treatment of glaucoma, epilepsy, and intracranial hypertension, and successfully used "off-label" to treat genetic movement disorders, reduces seizure susceptibility to pentylenetetrazol in DhddsR37H+/- mice, suggesting potential therapeutic value of using this drug in human DHDDS-CDG patients. Together, our results define cis-PTase as a master regulator of CNS development and function and establish that its monoallelic debilitating variants cause a novel congenital disorder of glycosylation associated with aberrant levels of neuronal proteins and lipids.

DHDDS↗
PubMed2006

Secreted proteins and genes in fetal and neonatal pig adipose tissue and stromal-vascular cells.

Although microarray and proteomic studies have indicated the expression of unique and unexpected genes and their products in human and rodent adipose tissue, similar studies of meat animal adipose tissue have not been reported. Thus, total RNA was isolated from stromal-vascular (S-V) cell cultures (n = 4; 2 arrays; 2 cultures/array) from 90-d (79% of gestation) fetuses and adipose tissue from 105-d (92% of gestation) fetuses (n = 2) and neonatal (5-d-old) pigs (n = 2). Duplicate adipose tissue microarrays (n = 4) represented RNA samples from a pig and a fetus. Dye-labeled cDNA probes were hybridized to custom microarrays (70-mer oligonucleotides) representing more than 600 pig genes involved in growth and reproduction. Microarray studies showed significant expression of 40 genes encoding for known adipose tissue secreted proteins in fetal S-V cell cultures and adipose tissue. Expression of 10 genes encoding secreted proteins not known to be expressed by adipose tissue was also observed in neonatal adipose tissue and fetal S-V cell cultures. Additionally, the agouti gene was detected by reverse transcription-PCR in pig S-V cultures and adipose tissue. Proteomic analysis of adipose tissue and fetal and young pig S-V cell culture-conditioned media identified multiple secreted proteins including heparin-like epidermal growth factor-like growth factor and several apolipoproteins. Another adipose tissue secreted protein, plasminogen activator inhibitor-1, was identified by ELISA in S-V cell culture media. A group of 20 adipose tissue secreted proteins were detected or identified using the gene microarray and the proteomic and protein assay approaches including apolipoprotein-A1, apolipoprotein-E, relaxin, brain-derived neurotrophic factor, and IGF binding protein-5. These studies demonstrate, for the first time, the expression of several major secreted proteins in pig adipose tissue that may influence local and central metabolism and growth.

Adipose Tissue↗
PubMed2006

Differential effects of two period genes on the physiology and proteomic profiles of mouse anterior tibialis muscles.

The molecular components that generate and maintain circadian rhythms of physiology and behavior in mammals are present both in the brain (suprachiasmatic nucleus; SCN) and in peripheral tissues. Examination of mice with targeted disruptions of either mPer1 or mPer2 has shown that these two genes have key roles in the SCN circadian clock. Here we show that loss of the clock gene mPer2 affects forced locomotor performance in mice without altering muscle contractility. A proteomic analysis revealed that the anterior tibialis muscles of the mPer2 knockout mice had higher levels of glycolytic enzymes such as triose phosphate isomerase and enolase than those of either the wild type or mPer1 knockout mice. In addition, the level of expression of HSP90 in the mPer2 mutant mice was also significantly higher than in wildtype mice. These results suggest that the reduced locomotor endurance of the mPer2 knockout mice reflects a greater dependence on anaerobic metabolism under stress conditions, and that the two canonical clock genes, mPer1 and mPer2, play distinct roles in the physiology of skeletal muscle.

Animals↗
PubMedDate not supplied

Development and evaluation of a micro- and nanoscale proteomic sample preparation method.

Challenges associated with the efficient and effective preparation of micro- and nanoscale (micro- and nanogram) clinical specimens for proteomic applications include the unmitigated sample losses that occur during the processing steps. Herein, we describe a simple "single-tube" preparation protocol appropriate for small proteomic samples using the organic cosolvent, trifluoroethanol (TFE) that circumvents the loss of sample by facilitating both protein extraction and protein denaturation without requiring a separate cleanup step. The performance of the TFE-based method was initially evaluated by comparisons to traditional detergent-based methods on relatively large scale sample processing using human breast cancer cells and mouse brain tissue. The results demonstrated that the TFE-based protocol provided comparable results to the traditional detergent-based protocols for larger, conventionally sized proteomic samples (>100 microg protein content), based on both sample recovery and numbers of peptide/protein identifications. The effectiveness of this protocol for micro- and nanoscale sample processing was then evaluated for the extraction of proteins/peptides and shown effective for small mouse brain tissue samples (approximately 30 microg total protein content) and also for samples of approximately 5000 MCF-7 human breast cancer cells (approximately 500 ng total protein content), where the detergent-based methods were ineffective due to losses during cleanup and transfer steps.

Animals↗
PubMed2004

Identification of tumor-associated plasma biomarkers using proteomic techniques: from mouse to human.

In an effort to identify tumor-associated proteins from plasma of tumor-bearing mice that may be used as diagnostic biomarkers, we developed a strategy that combines a tumor xenotransplantation model in nude mice with comparative proteomic technology. Five human cancer cell lines (SC-M1, HONE-1, CC-M1, OECM1, GBM 8401) derived from stomach, nasopharyngeal, colon, oral and brain cancers were subcutaneously inoculated into nude mice and compared to control nude mice injected with phosphate-buffered saline. One month later, plasma from mice inoculated with cancer cells was collected for proteomic analysis using two-dimensional gel electrophoresis (2-DE) and mass spectrometry (MS). Comparison of plasma 2-DE maps from tumor-bearing mice with those produced from control mice revealed the overexpression of several mouse acute phase proteins (APPs) such as haptoglobin. Another APP, serum amyloid A (SAA), was found only in mice bearing tumors induced by the stomach cancer cell line SC-M1, which has not previously been demonstrated in xenotransplatation experiment. Furthermore, by using immunohistochemistry, SAA and haptoglobin were found to originate from the mouse hosts and not from the human cancer cell line donors. The protein alterations were further confirmed on patients with stomach cancers where up-regulated levels of SAA were also observed. These results indicate that APPs may be used as nonspecific tumor-associated serum markers. SAA in particular may serve as a potential marker for detecting stomach cancer. Taken together, the combination of the xenotransplatation model in nude mice and proteomics analysis provided a valuable impact for clinical applications in cancer diagnostics. In addition, our findings demonstrate that a panel of APPs might serve as screening biomarkers for early cancer detection.

Amino Acid Sequence↗
PubMed2005

The use of proteomics in biomarker discovery in neurodegenerative diseases.

Biomarkers for neurodegenerative diseases should reflect the central pathogenic processes of the diseases. The field of clinical proteomics is especially well suited for discovery of biomarkers in cerebrospinal fluid (CSF), which reflects the proteins in the brain under healthy conditions as well as in several neurodegenerative diseases. Known proteins involved in the pathology of neurodegenerative diseases are, respectively, normal tau protein, beta-amyloid (1-42), synaptic proteins, amyloid precursor protein (APP), apolipoprotein E (apoE), which previously have been studied by protein immunoassays. The objective of this paper was to summarize results from proteomic studies of differential protein patterns in neurodegenerative diseases with focus on Alzheimer's disease (AD). Today, discrimination of AD from controls and from other neurological diseases has been improved by simultaneous analysis of both beta-amyloid (1-42), total-tau, and phosphorylated tau, where a combination of low levels of CSF-beta-amyloid 1-42 and high levels of CSF-tau and CSF-phospho-tau is associated with an AD diagnosis. Detection of new biomarkers will further strengthen diagnosis and provide useful information in drug trials. The combination of immunoassays and proteomic methods show that the CSF proteins express differential protein patterns in AD, FTD, and PD patients, which reflect divergent underlying pathophysiological mechanisms and neuropathological changes in these diseases.

Alzheimer Disease↗
PubMed2006

OMICS and brain tumour biomarkers.

Currently, brain tumours are diagnosed by surgical biopsy and light microscopic examination of tissue, with immunohistochemistry in difficult cases. We review research in the field of brain tumour diagnosis and discuss several new approaches. In future, tumour type, optimal treatment, and prognosis could be obtained by studying the gene (genomics), protein (proteomics) or metabolite (metabolomics) content of tumour cells. These techniques generate complex data, analysed using techniques such as pattern recognition software to identify biomarker signatures of different tumours. Compared with individual biomarkers, biomarker signatures appear to increase diagnostic accuracy and may produce an improved brain tumour classification system.

Biomarkers, Tumor↗
PubMed2001

Proteomics in neuropsychiatric disorders.

Assessing human cerebrospinal fluid (CSF) provides a practical way to conduct longitudinal molecular analyses of changes during the course of neurological disease. Integrated and parallel analyses of neurotransmitters, neuropeptides and proteins in CSF may reveal better insights into complex interaction of numerous cell types in the central nervous system (CNS) at an unprecedented level of complexity and detail. Intricate molecular fingerprints of CSF proteins may pinpoint multiple underlying pathogenic mechanisms as well as an acute and a chronic CNS disease component. Some of these changes may be mapped to altered protein expression patterns in clinically relevant cell populations with a causative or diagnostic disease link. A CNS proteome database of primary human CNS tissues may avoid ambiguities of experimental models and accelerate pre- and clinical development of more specific diagnostic and prognostic disease markers and new selective therapeutics.

Biomarkers↗
PubMed2006

High recovery HPLC separation of lipid rafts for membrane proteome analysis.

Proteomic analysis of complex samples can be facilitated by protein fractionation prior to enzymatic or chemical fragmentation combined with MS-based identification of peptides. Although aqueous soluble protein fractionation by liquid chromatography is relatively straightforward, membrane protein separations have a variety of technical challenges. Reversed-phase high performance liquid chromatography (RP-HPLC) separations of membrane proteins often exhibit poor recovery and bandwidths, and generally require extensive pretreatment to remove lipids and other membrane components. Human brain tissue lipid raft protein preparations have been used as a model system to develop RP-HPLC conditions that are effective for protein fractionation, and are compatible with downstream proteomic analytical workflows. By the use of an appropriate RP column material and operational conditions, human brain membrane raft proteins were successfully resolved by RP-HPLC and some of the protein components, including specific integral membrane proteins, identified by downstream SDS-PAGE combined with in-gel digestion, or in-solution digestion and LC-MS/MS analysis of tryptic fragments. Using the described method, total protein recovery was high, and the repeatability of the separation maintained after repeated injections of membrane raft preparations.

Amino Acid Sequence↗