Proteomic approaches in brain research and neuropharmacology

Proteomics for abiotic stresses in legumes: present status and future directions

Legumes are the most important crop plants in agriculture, contributing 27% of the world's primary food production. However, productivity and production of Legumes is reduced due to increasing environmental stress. Hence, there is a pressing need to understand the molecular mechanism involved in stress response and legumes adaptation. Proteomics provides an important molecular approach to investigate proteins involved in stress response. Both the gel-based and gel-free-based techniques have significantly contributed to understanding the proteome regulatory network in leguminous plants. In the present review, we have discussed the role of different proteomic approaches (2-DE, 2 D-DIGE, ICAT, iTRAQ, etc.) in the identification of various stress-responsive proteins in important leguminous crops, including soybean, chickpea, cowpea, pigeon pea, groundnut, and common bean under variable abiotic stresses including heat, drought, salinity, waterlogging, frost, chilling and metal toxicity. The proteomic analysis has revealed that most of the identified differentially expressed proteins in legumes are involved in photosynthesis, carbohydrate metabolism, signal transduction, protein metabolism, defense, and stress adaptation. The proteomic approaches provide insights in understanding the molecular mechanism of stress tolerance in legumes and have resulted in the identification of candidate genes used for the genetic improvement of plants against various environmental stresses. Identifying novel proteins and determining their expression under different stress conditions provide the basis for effective engineering strategies to improve stress tolerance in crop plants through marker-assisted breeding.

Proteomics: Concepts and applications in human medicine

Proteomics is the complete evaluation of the function and structure of proteins to understand an organism’s nature. Mass spectrometry is an essential tool that is used for profiling proteins in the cell. However, biomarker discovery remains the major challenge of proteomics because of their complexity and dynamicity. Therefore, combining the proteomics approach with genomics and bioinformatics will provide an understanding of the information of biological systems and their disease alteration. However, most studies have investigated a small part of the proteins in the blood. This review highlights the types of proteomics, the available proteomic techniques, and their applications in different research fields.

A Shotgun Proteomic Platform for a Global Mapping of Lymphoblastoid Cells to Gain Insight into Nasu-Hakola Disease

Nasu-Hakola Disease (NHD) is a recessively inherited systemic leukodystrophy disorder characterized by a combination of frontotemporal presenile dementia and lytic bone lesions. NHD is known to be genetically related to a structural defect of TREM2 and DAP12, two genes that encode for different subunits of the membrane receptor signaling complex expressed by microglia and osteoclast cells. Because of its rarity, molecular or proteomic studies on this disorder are absent or scarce, only case reports based on neuropsychological and genetic tests being reported. In light of this, the aim of this paper is to provide evidence on the potential of a label-free proteomic platform based on the Multidimensional Protein Identification Technology (MudPIT), combined with in-house software and on-line bioinformatics tools, to characterize the protein expression trends and the most involved pathways in NHD. The application of this approach on the Lymphoblastoid cells from a family composed of individuals affected by NHD, healthy carriers and control subjects allowed for the identification of about 3000 distinct proteins within the three analyzed groups, among which proteins anomalous to each category were identified. Of note, several differentially expressed proteins were associated with neurodegenerative processes. Moreover, the protein networks highlighted some molecular pathways that may be involved in the onset or progression of this rare frontotemporal disorder. Therefore, this fully automated MudPIT platform which allowed, for the first time, the generation of the whole protein profile of Lymphoblastoid cells from Nasu-Hakola subjects, could be a valid approach for the investigation of similar neurodegenerative diseases.

How to Study the Proteomes and Phosphoproteomes of Anther and Pollen

Proteomics analysis was a powerful technology for characterizing proteins and protein posttranslational modification (PTMs). Recently, many anther and pollen-related proteomic analyses have been reported, which have expanded our understanding of anther and pollen development and regulation. In this chapter, we describe a detailed, optimized protocol for the separation, digestion, tagging, and subsequent mass spectrometry-based identification and quantification of proteins and phosphoproteins from anther and pollen.

The Human Brain Proteome Project: Biological and Technological Challenges

Brain proteomics has become a method of choice that allows zooming-in where neuropathophysiological alterations are taking place, detecting protein mediators that might eventually be measured in cerebrospinal fluid (CSF) as potential neuropathologically derived biomarkers. Following this hypothesis, mass spectrometry-based neuroproteomics has emerged as a powerful approach to profile neural proteomes derived from brain structures and CSF in order to map the extensive protein catalog of the human brain. This chapter provides a historical perspective on the Human Brain Proteome Project (HBPP), some recommendation to the experimental design in neuroproteomic projects, and a brief description of relevant technological and computational innovations that are emerging in the neurobiology field thanks to the proteomics community. Importantly, this chapter highlights recent discoveries from the biology- and disease-oriented branch of the HBPP (B/D-HBPP) focused on spatiotemporal proteomic characterizations of mouse models of neurodegenerative diseases, elucidation of proteostatic networks in different types of dementia, the characterization of unresolved clinical phenotypes, and the discovery of novel biomarker candidates in CSF.

Distribution and development of molecularly distinct perineuronal nets in visual thalamus

Visual information is detected by the retina and transmitted into the brain by retinal ganglion cells. In rodents, the visual thalamus is a major recipient of retinal ganglion cells axons and is divided into three functionally distinct nuclei: the dorsal lateral geniculate nucleus (dLGN), ventral LGN (vLGN), and intergeniculate leaflet. Despite being densely innervated by retinal input, each nucleus in rodent visual thalamus possesses diverse molecular profiles which underpin their unique circuitry and cytoarchitecture. Here, we combined large-scale unbiased proteomic and transcriptomic analyses to elucidate the molecular expression profiles of the developing mouse dLGN and vLGN. We identified several extracellular matrix proteins as differentially expressed in these regions, particularly constituent molecules of perineuronal nets (PNNs). Remarkably, we discovered at least two types of molecularly distinct Aggrecan-rich PNN populations in vLGN, exhibiting non-overlapping spatial, temporal, and cell-type specific expression patterns. The mechanisms responsible for the formation of these two populations of PNNs also differ as the formation of Cat315⁺ PNNs (but not WFA⁺ PNNs) required input from the retina. This study is first to suggest that cell type- and molecularly specific supramolecular assemblies of extracellular matrix may play important roles in the circuitry associated with the subcortical visual system and in the processing of visual information. OPEN SCIENCE BADGES: This article has received a badge for *Open Materials* because it provided all relevant information to reproduce the study in the manuscript. The complete Open Science Disclosure form for this article can be found at the end of the article. More information about the Open Practices badges can be found at https://cos.io/our-services/open-science-badges/. Cover Image for this issue: doi: 10.1111/jnc.14203.

Distribution and development of molecularly distinct perineuronal nets in visual thalamus

Visual information is detected by the retina and transmitted into the brain by retinal ganglion cells. In rodents, the visual thalamus is a major recipient of retinal ganglion cells axons and is divided into three functionally distinct nuclei: the dorsal lateral geniculate nucleus (dLGN), ventral LGN (vLGN), and intergeniculate leaflet. Despite being densely innervated by retinal input, each nucleus in rodent visual thalamus possesses diverse molecular profiles which underpin their unique circuitry and cytoarchitecture. Here, we combined large-scale unbiased proteomic and transcriptomic analyses to elucidate the molecular expression profiles of the developing mouse dLGN and vLGN. We identified several extracellular matrix proteins as differentially expressed in these regions, particularly constituent molecules of perineuronal nets (PNNs). Remarkably, we discovered at least two types of molecularly distinct Aggrecan-rich PNN populations in vLGN, exhibiting non-overlapping spatial, temporal, and cell-type specific expression patterns. The mechanisms responsible for the formation of these two populations of PNNs also differ as the formation of Cat315⁺ PNNs (but not WFA⁺ PNNs) required input from the retina. This study is first to suggest that cell type- and molecularly specific supramolecular assemblies of extracellular matrix may play important roles in the circuitry associated with the subcortical visual system and in the processing of visual information. OPEN SCIENCE BADGES: This article has received a badge for *Open Materials* because it provided all relevant information to reproduce the study in the manuscript. The complete Open Science Disclosure form for this article can be found at the end of the article. More information about the Open Practices badges can be found at https://cos.io/our-services/open-science-badges/. Cover Image for this issue: doi: 10.1111/jnc.14203.

Neuroproteomics Studies: Challenges and Updates

The Human Genome Project in 2003 has resulted in the complete sequence of ~99% of the human genome paving the road for the Human Proteome Project (HPP) assessing the full characterization of the translated protein map of the 20,300 protein-coding genes. Consequently, the emerging of the proteomics field has successfully been adopted as the method of choice for the proteome characterization. Proteomics is a term that is used to encompass multidisciplinary approaches combining different technologies that aim to study the entire spectrum of protein changes at a specific physiological condition. Proteomics research has shown excellent outcomes in different fields, among which is neuroscience; however, the complexity of the nervous systems necessitated the genesis of a new subdiscipline of proteomics termed as "neuroproteomics." Neuroproteomics studies involve assessing the quantitative and qualitative aspects of nervous system components encompassing global dynamic events underlying various brain-related disorders ranging from neuropsychiatric disorders, degenerative disorders, mental illness, and most importantly brain-specific neurotrauma-related injuries. In this introductory chapter, we will provide a brief historical perspective on the field of neuroproteomics. In doing so, we will highlight on the recent applications of neuroproteomics in the areas of neurotrauma, an area that has benefitted from neuroproteomics in terms of biomarker research, spatiotemporal injury mechanism, and its use to translate its findings from experimental settings to human translational applications. Importantly, this chapter will include some recommendation to the general studies in the area of neuroproteomics and the need to move from this field from being a descriptive, hypothesis-free approach to being an independent mature scientific discipline.

Approaches for targeted proteomics and its potential applications in neuroscience

An extensive guide on practicable and significant quantitative proteomic approaches in neuroscience research is important not only because of the existing overwhelming limitations but also for gaining valuable understanding into brain function and deciphering proteomics from the workbench to the bedside. Early methodologies to understand the functioning of biological systems are now improving with high-throughput technologies, which allow analysis of various samples concurrently, or of thousand of analytes in a particular sample. Quantitative proteomic approaches include both gel-based and non-gel-based methods that can be further divided into different labelling approaches. This review will emphasize the role of existing technologies, their advantages and disadvantages, as well as their applications in neuroscience. This review will also discuss advanced approaches for targeted proteomics using isotope-coded affinity tag (ICAT) coupled with laser capture microdissection (LCM) followed by liquid chromatography tandem mass spectrometric (LC-MS/MS) analysis. This technology can further be extended to single cell proteomics in other areas of biological sciences and can be combined with other 'omics' approaches to reveal the mechanism of a cellular alterations. This approach may lead to further investigation in basic biology, disease analysis and surveillance, as well as drug discovery. Although numerous challenges still exist, we are confident that this approach will increase the understanding of pathological mechanisms involved in neuroendocrinology, neuropsychiatric and neurodegenerative disorders by delivering protein biomarker signatures for brain dysfunction.

Novel possibilities in the study of the salivary proteomic profile using SELDI-TOF/MS technology

There is currently an increasing interest in exploring human saliva to identify salivary diagnostic and prognostic biomarkers, since the collection of saliva is rapid, non-invasive and stress-free. Diagnostic tests on saliva are common and cost-effective, particularly for patients who need to monitor their hormone levels or the effectiveness of undergoing therapies. Furthermore, salivary diagnostics is ideal for surveillance studies and in situations where fast results and inexpensive technologies are required. The most important constituents of saliva are proteins, the expression levels of which may be modified due to variations of the cellular conditions. Therefore, the different profile of proteins detected in saliva, including their absence, presence or altered levels, is a potential biomarker of certain physiological and/or pathological conditions. A promising novel approach to study saliva is the global analysis of salivary proteins using proteomic techniques. In the present study, surface-enhanced laser desorption/ionization-time-of-flight/mass spectrometry (SELDI-TOF/MS), one of the most recent proteomic tools for the identification of novel biomarkers, is reviewed. In addition, the possible use of this technique in salivary proteomic studies is discussed, since SELDI technology combines the precision of matrix-assisted laser desorption/ionization-TOF/MS proteomic analysis and the high-throughput nature of protein array analysis.

Microgravity-driven remodeling of the proteome reveals insights into molecular mechanisms and signal networks involved in response to the space flight environment

Space is a hostile environment characterized by high vacuum, extreme temperatures, meteoroids, space debris, ionospheric plasma, microgravity and space radiation, which all represent risks for human health. A deep understanding of the biological consequences of exposure to the space environment is required to design efficient countermeasures to minimize their negative impact on human health. Recently, proteomic approaches have received a significant amount of attention in the effort to further study microgravity-induced physiological changes. In this review, we summarize the current knowledge about the effects of microgravity on microorganisms (in particular Cupriavidus metallidurans CH34, Bacillus cereus and Rhodospirillum rubrum S1H), plants (whole plants, organs, and cell cultures), mammalian cells (endothelial cells, bone cells, chondrocytes, muscle cells, thyroid cancer cells, immune system cells) and animals (invertebrates, vertebrates and mammals). Herein, we describe their proteome's response to microgravity, focusing on proteomic discoveries and their future potential applications in space research.

BIOLOGICAL SIGNIFICANCE

Space experiments and operational flight experience have identified detrimental effects on human health and performance because of exposure to weightlessness, even when currently available countermeasures are implemented. Many experimental tools and methods have been developed to study microgravity induced physiological changes. Recently, genomic and proteomic approaches have received a significant amount of attention. This review summarizes the recent research studies of the proteome response to microgravity inmicroorganisms, plants, mammalians cells and animals. Current proteomic tools allow large-scale, high-throughput analyses for the detection, identification, and functional investigation of all proteomes. Understanding gene and/or protein expression is the key to unlocking the mechanisms behind microgravity-induced problems and to finding effective countermeasures to spaceflight-induced alterations but also for the study of diseases on earth. Future perspectives are also highlighted.

Proteomic changes in the cortex membrane fraction of genetic absence epilepsy rats from Strasbourg

Epilepsy is a serious neurodegenerative disorder with a high incidence and a variety of presentations and causes. Studies on brain from various animal models including chronic models: Genetic Absence Epilepsy Rats from Strasbourg (GAERS) are very useful for understanding the fundamental mechanisms associated with human epilepsy. Individual regions of the brain have different protein composition in different conditions. Therefore, proteomic analyses of the brain compartments are preferred for the development of new therapeutic targets in different pathophysiological conditions like neurodegenerative disorders. In this study, we describe a proteomic profiling of membrane fraction of cortex tissue from epileptic GAERS and non-epileptic Wistar rat brain by two-dimensional gel electrophoresis coupled with matrix-assisted laser desorption/ionization mass spectroscopy. Comparing the optical density of spots between groups, we found that one protein expression was significantly down-regulated (guanine nucleotide-binding protein G(I)/G(S)/G(T) subunit beta-1) and one protein expression was significantly up-regulated (14-3-3 protein epsilon isoform) in GAERS group. Our results indicate that these proteins might have played a significant role in epilepsy and may be considered as valuable therapeutic targets in the absence of epilepsy.

Proteomic changes in the brain of the western painted turtle (Chrysemys picta bellii) during exposure to anoxia

During anoxia, overall protein synthesis is almost undetectable in the brain of the western painted turtle. The aim of this investigation was to address the question of whether there are alterations to specific proteins by comparing the normoxic and anoxic brain proteomes. Reductions in creatine kinase, hexokinase, glyceraldehyde-3-phosphate dehydrogenase, and pyruvate kinase reflected the reduced production of adenosine triphosphate (ATP) during anoxia while the reduction in transitional endoplasmic reticulum ATPase reflected the conservation of ATP or possibly a decrease in intracellular Ca(2+). In terms of neural protection programed cell death 6 interacting protein (PDCD6IP; a protein associated with apoptosis), dihydropyrimidinase-like protein, t-complex protein, and guanine nucleotide protein G(o) subunit alpha (Go alpha; proteins associated with neural degradation and impaired cognitive function) also declined. A decline in actin, gelsolin, and PDCD6IP, together with an increase in tubulin, also provided evidence for the induction of a neurological repair response. Although these proteomic alterations show some similarities with the crucian carp (another anoxia-tolerant species), there are species-specific responses, which supports the theory of no single strategy for anoxia tolerance. These findings also suggest the anoxic turtle brain could be an etiological model for investigating mammalian hypoxic damage and clinical neurological disorders.

Micellar extraction possesses a new advantage for the analysis of Alzheimer's disease brain proteome

Integral membrane proteins (MPs), such as transporters, receptors, and ion channels, are of great interest because of their participation in various vital cellular functions including cell-cell interactions, ion transport, and signal transduction. However, studies of MPs are complicated because of their hydrophobic nature, heterogeneity, and low abundance. Cloud-point extraction (CPE) with the non-ionic surfactant Triton X-114 was performed to simultaneously extract and phase separate hydrophobic and hydrophilic proteins from Alzheimer's disease (AD) and unaffected control brain tissue. Quantitative proteomics analysis of temporal neocortex samples of AD patients and controls was performed using a shotgun approach based on stable isotope dimethyl labeling (DML) quantification technique followed by nanoLC-MS/MS analysis. A total of 1096 unique proteins were identified and quantified, with 40.3 % (211/524) predicted as integral MPs with at least one transmembrane domain (TMD) found in the detergent phase, and 10 % (80/798) in the detergent-depleted phase. Among these, 62 proteins were shown to be significantly altered (p-value <0.05), in AD versus control samples. In the detergent fraction, we found 10 hydrophobic transmembrane proteins containing up to 14 putative TMDs that were significantly up- or down-regulated in AD compared with control brains. Changes in four of these proteins, alpha-enolase (ENOA), lysosome-associated membrane glycoprotein 1 (LAMP1), 14-3-3 protein gamma (1433G), and sarcoplasmic/endoplasmic reticulum calcium ATPase2 (AT2A2) were validated by immunoblotting. Our results emphasize that separating hydrophobic MPs in CPE contributes to an increased understanding of the underlying molecular mechanisms in AD. Such knowledge can become useful for the development of novel disease biomarkers.

How proteomics reveals potential biomarkers in brain diseases

The brain is complex, and so are the proteomics studies of brain tissue and its diseases, including Alzheimer's Disease, Parkinson's Disease and schizophrenia. In this review, general considerations and strategies of proteomics technologies, the advantages and challenges as well as the special needs for brain tissue are described and summarized. In addition, the results of the first studies are presented including a quality evaluation of the candidate proteins for these diseases. A paragraph is dedicated to the efforts of standardization in this field.

Proteomic analysis of lymphoblastoid cells derived from monozygotic twins discordant for bipolar disorder: a preliminary study

Bipolar disorder is a severe mental illness characterized by recurrent manic and depressive episodes. In bipolar disorder, family and twin studies suggest contributions from genetic and environmental factors; however, the detailed molecular pathogenesis is yet unknown. Thus, identification of biomarkers may contribute to the clinical diagnosis of bipolar disorder. Monozygotic twins discordant for bipolar disorder are relatively rare but have been reported. Here we performed a comparative proteomic analysis of whole cell lysate derived from lymphoblastoid cells of monozygotic twins discordant for bipolar disorder by using two-dimensional differential in-gel electrophoresis (2D-DIGE). We found approximately 200 protein spots to be significantly differentially expressed between the patient and the co-twin (t test, p<0.05). Some of the proteins were subsequently identified by liquid chromatography tandem mass spectrometry and included proteins involved in cell death and glycolysis. To examine whether these proteins could serve as biomarkers of bipolar disorder, we performed Western blot analysis using case–control samples. Expression of phosphoglycerate mutase 1 (PGAM1), which is involved in glycolysis, was significantly up-regulated in patients with bipolar disorder (t test, p<0.05). Although PGAM1 cannot be regarded as a qualified biomarker of bipolar disorder from this preliminary finding, it could be one of the candidates for further study to identify biomarkers of bipolar disorder.

Proteomic research in psychiatry

Psychiatric disorders such as Alzheimer's disease, schizophrenia and mood disorders are severe and disabling conditions of largely unknown origin and poorly understood pathophysiology. An accurate diagnosis and treatment of these disorders is often complicated by their aetiological and clinical heterogeneity. In recent years proteomic technologies based on mass spectrometry have been increasingly used, especially in the search for diagnostic and prognostic biomarkers in neuropsychiatric disorders. Proteomics enable an automated high-throughput protein determination revealing expression levels, post-translational modifications and complex protein-interaction networks. In contrast to other methods such as molecular genetics, proteomics provide the opportunity to determine modifications at the protein level thereby possibly being more closely related to pathophysiological processes underlying the clinical phenomenology of specific psychiatric conditions. In this article we review the theoretical background of proteomics and its most commonly utilized techniques. Furthermore the current impact of proteomic research on diverse psychiatric diseases, such as Alzheimer's disease, schizophrenia, mood and anxiety disorders, drug abuse and autism, is discussed. Proteomic methods are expected to gain crucial significance in psychiatric research and neuropharmacology over the coming decade.

Synaptoproteomics of learned helpless rats involve energy metabolism and cellular remodeling pathways in depressive-like behavior and antidepressant response

Although depression is a severe and life-threatening psychiatric illness, its pathogenesis still is essentially unknown. Recent studies highlighted the influence of environmental stress factors on an individual's genetic predisposition to develop mood disorders. In the present study, we employed a well-validated stress-induced animal model of depression, Learned Helplessness paradigm, in rats. Learned helpless (LH) and non-learned helpless (NLH) rats were treated with nortriptyline, a tricyclic antidepressant. The resulting 4 groups (LH vs. NLH, treated vs. non-treated), were subjected to global analysis of protein expression, a powerful approach to gain insight into the molecular mechanisms underlying vulnerability to psychiatric disorders and the long-term action of drug treatments. Many of the biological targets of antidepressant drugs are localized at synapses. Thus, to reduce the complexity of the proteome analyzed and to enrich for less abundant synaptic proteins, purified nerve terminals (synaptosomes) from prefrontal/frontal cortex (P/FC) and hippocampus (HPC) of LH-NLH rats were used. Synaptosomes were purified by differential centrifugation on Percoll gradients and analyzed by two-dimensional polyacrylamide gel electrophoresis (2-DE). Protein spots differently regulated in the various comparisons were excised from gels and identified by mass spectrometry. Proteins involved in energy metabolism and cellular remodeling were primarily dysregulated, when LH and NLH rats were compared. Moreover, several proteins (aconitate hydratase, pyruvate dehydrogenase E1, dihydropyrimidinase-related protein-2 and stathmin) were found to be regulated in opposite directions by stress and drug treatment. These proteins could represent new molecular correlates of both vulnerability to stress and response to drugs, and putative targets for the development of novel drugs with antidepressant action. This article is part of a Special Issue entitled 'Trends in neuropharmacology: in memory of Erminio Costa'.

Proteomics analysis of differential expression of chicken brain tissue proteins in response to the neurovirulent H5N1 avian influenza virus infection

A certain H5N1 avian influenza virus has gained the ability to cause the classic central nervous system dysfunction in poultry and migratory birds. This study presents the proteomics analysis on the change of proteins to H5N1 avian influenza virus with neurovirulence infection in chicken brain tissue. By using 2-DE, coupled with MALDI-TOF MS/MS, we identified a set of differentially expressed cellular proteins, including 18 up-regulated proteins and 13 down-regulated proteins. The most significant changes were found in cytoskeleton proteins, proteins associated with the ubiquitin-proteasome pathway, and neural signal transduction proteins. Some identified proteins such as CRMP and SEP5 were found to participate in the pathogenesis progress of Parkinson's and Huntington's diseases, which also developed encephalitis accompanied with CNS dysfunction. The obtained data can provide insight into the virus-chicken brain tissue interaction and reveal the potential mechanism of the neuropathogenesis when the host was infected by the neurovirulent avian influenza virus.

An update on clinical proteomics in Alzheimer's research

Alzheimer's disease (AD) is a pathologically complex and aetiologically multifactorial dementing disorder affecting millions of people worldwide. The pathological brain changes are assumed to occur decades prior to the onset of clinical symptoms. The diagnosis of early AD remains problematic and is mainly based on clinical and neuropsychological findings after the onset of symptoms. Currently available drugs are able to delay the symptom progression of the disease but not to attenuate the progression of pathological brain changes. Many studies exploring AD proteomes have been conducted as the middle of 1990s as a consequence of recent advances in the development of both gel-based and gel-free proteomics approaches. It is hoped that proteomics can contribute to improving the understanding, diagnosis, and follow-up of the progression of AD. In this review, we summarise the present status of proteome alterations, with emphasis on quantitative approaches, in AD brain, CSF and blood, and their relevance to dementia research.

Proteomics: challenges, techniques and possibilities to overcome biological sample complexity

Proteomics is the large-scale study of the structure and function of proteins in complex biological sample. Such an approach has the potential value to understand the complex nature of the organism. Current proteomic tools allow large-scale, high-throughput analyses for the detection, identification, and functional investigation of proteome. Advances in protein fractionation and labeling techniques have improved protein identification to include the least abundant proteins. In addition, proteomics has been complemented by the analysis of posttranslational modifications and techniques for the quantitative comparison of different proteomes. However, the major limitation of proteomic investigations remains the complexity of biological structures and physiological processes, rendering the path of exploration paved with various difficulties and pitfalls. The quantity of data that is acquired with new techniques places new challenges on data processing and analysis. This article provides a brief overview of currently available proteomic techniques and their applications, followed by detailed description of advantages and technical challenges. Some solutions to circumvent technical difficulties are proposed.

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.

Comparative proteomic profiling of membrane proteins in rat cerebellum, spinal cord, and sciatic nerve

Proteomics is an increasingly powerful technology that can provide in-depth insights into entire proteomes and their variation upon disease. Large-scale proteomics today enables identification and measurement of changes of thousands of proteins from minute amount of tissues. Here, we provide a proteomic profile of three distinct parts of the murine nerve system: cerebellum, spinal cord, and sciatic nerve. We focus on membrane proteins as the key regulators of neural transmission and memory. Rat tissues were homogenized and extracted to remove nonmembrane proteins and the resulting membranes were solubilized with detergents. Proteins were fractionated by size exclusion chromatography, depleted for detergents, digested and analyzed by LC-MS/MS using the LTQ-Orbitrap instrument. With the application of stringent identification criteria, in total, 4124 proteins were identified. Of these proteins, 3528, 3290, and 1649 were mapped to cerebellum, spinal cord, and sciatic nerve, respectively, allowing in-depth mapping of neurotransmitter receptors, ion channels, and transporter proteins. This work is the most in-depth proteomic analysis of nerve tissues to date and provides the first unbiased insights into the proteomes of anatomically and functionally distinct parts of the membrane proteome of the central and peripheral nerve systems. The methods applied here can be directly applied to studying nerve systems and their disorders.

Comparative proteomics in the corpus callosal sub-regions of postmortem human brain

The corpus callosum (CC) is a single anatomical region with homologous cytoarchitecture and divided into four sub-regions such as the rostrum, the genu, the body and the splenium. Neuroimaging analysis revealed that susceptibility to clinical neurological diseases of these sub-regions is variable, indicating biochemical and physiological heterogenecity. To understand the biochemical make up of these regions, we compared the protein expression of these three sub-regional areas [the genu, the body and the splenium (n=9)] through 2D proteomics, which is a high-throughput global protein expression analysis technique. Normative proteomic comparison of gels, and analysis of spectra revealed that 17 (identified as 7 proteins), 35 (identified as 20 proteins) and 39 (identified as 21 proteins) protein spots were differentially expressed in the genu vs. the body, the genu vs. the splenium and the body vs. the splenium, respectively. These results suggest that the sub-regions of the CC differ at the level of protein expression. Identified proteins of the different groups belong to several functional classes such as cytoskeletal, metabolic, signaling, oxidative stress and calcium regulation. Interestingly, oxidative stress defense and glucose metabolic pathways of the splenium are quite different from the genu which might be correlated to region specific vulnerability of neuronal illness. Protein expression maps of these regions can be used as a reference source for future studies to investigate the molecular basis of functional differences and degree of pathogenesis of various neurodegenerative diseases of the CC.

Upregulation of phosphorylated alphaB-crystallin in the brain of children and young adults with Down syndrome

Our previous proteomic studies disclosed upregulation of alphaB-crystallin, a small heat shock protein, in the brain tissue of Ts65Dn mice, a mouse model for Down syndrome (DS). To validate data obtained in model animals, we studied at present the levels and distribution of total alphaB-crystallin and its forms phosphorylated at Ser-45 and Ser-59 in the brain tissues of DS subjects and age-matched controls at 4 months to 23 years of age. On immunoblots from frontal cortex and white matter, alphaB-crystallin and its form phosphorylated at Ser-59 were detectable already in infants, whereas alphaB-crystallin phosphorylated at Ser-45 appeared in small amounts in older children. Although the levels of total alphaB-crystallin were modestly increased in DS subjects, the amounts of both phosphorylated forms were much higher (up to approximately 550%) in the group of older children and young adults with DS than in age-matched controls. Immunoreactivity to alphaB-crystallin occurred not only in a subset of oligodendrocytes and some subpial and perivascular astrocytes, which was reported earlier, but also in GFAP-positive astrocytes accumulating at the sites of ependymal injury as well as some GFAP/platelet-derived growth factor receptor alpha-positive cells in both DS and control brains, which is a novel observation. Given that the chaperone and anti-apoptotic activities of alphaB-crystallin are phosphorylation-dependent, we propose that enhanced phosphorylation of alphaB-crystallin in the brains of young DS subjects might reflect a cytoprotective mechanism mobilized in response to stress conditions induced or augmented by the effect of genes encoded by the triplicated chromosome 21.

The role of toxicoproteomics in assessing organ specific toxicity

Aims of this chapter on the role of toxicoproteomics in assessing organ-specific toxicity are to define the field of toxicoproteomics, describe its development among global technologies, and show potential uses in experimental toxicological research, preclinical testing and mechanistic biological research. Disciplines within proteomics deployed in preclinical research are described as Tier I analysis, involving global protein mapping and protein profiling for differential expression, and Tier II proteomic analysis, including global methods for description of function, structure, interactions and post-translational modification of proteins. Proteomic platforms used in toxicoproteomics research are briefly reviewed. Preclinical toxicoproteomic studies with model liver and kidney toxicants are critically assessed for their contributions toward understanding pathophysiology and in biomarker discovery. Toxicoproteomics research conducted in other organs and tissues are briefly discussed as well. The final section suggests several key developments involving new approaches and research focus areas for the field of toxicoproteomics as a new tool for toxicological pathology.

Protocol to enrich and analyze plasma membrane proteins

This chapter describes a procedure for isolation and analysis of fractions enriched in plasma membranes from minute amounts of tissue. It consists of a method for extraction and fractionation of membranes and a method for enzymatic digestion of membrane proteins without use of detergents. The method for isolation of membranes comprises of a stepwise depletion of nonintegral membrane molecules from entire tissue homogenate by high-salt, carbonate, and urea washes followed by a treatment of the membranes with sublytic concentrations of a detergent and enrichment of the plasma membranes by a density gradient fractionation. Fluorometric assays for protein content and plasma membrane marker activity allow calculation of the yield and extent of plasma membrane enrichment. Reduction, carboxymethylation, and digestion with endoproteinase Lys-C are carried out on nonsolubilized membranes. The entire procedure allows processing and preparation of samples from 10-20 mg tissue, and therefore, can be extremely helpful for proteomic profiling of biopsy-size clinical samples.

Neuroproteomics as a promising tool in Parkinson's disease research

Despite the vast number of studies on Parkinson's disease (PD), its effective diagnosis and treatment remains unsatisfactory. Hence, the relentless search for an optimal cure continues. The emergence of neuroproteomics, with its sophisticated techniques and non-biased ability to quantify proteins, provides a methodology with which to study the changes in neurons that are associated with neurodegeneration. Neuroproteomics is an emerging tool to establish disease-associated protein profiles, while also generating a greater understanding as to how these proteins interact and undergo post-translational modifications. Furthermore, due to the advances made in bioinformatics, insight is created concerning their functional characteristics. In this review, we first summarize the most prominent proteomics techniques and then discuss the major advances in the fast-growing field of neuroproteomics in PD. Ultimately, it is hoped that the application of this technology will lead towards a presymptomatic diagnosis of PD, and the identification of risk factors and new therapeutic targets at which pharmacological intervention can be aimed.

A comparison of the synaptic proteome in human chronic schizophrenia and rat ketamine psychosis suggest that prohibitin is involved in the synaptic pathology of schizophrenia

Many studies in recent years suggest that schizophrenia is a synaptic disease that crucially involves a hypofunction of N-methyl-D-aspartate receptor-mediated signaling. However, at present it is unclear how these pathological processes are reflected in the protein content of the synapse. We have employed two-dimensional gel electrophoresis in conjunction with mass spectrometry to characterize and compare the synaptic proteomes of the human left dorsolateral prefrontal cortex in chronic schizophrenia and of the cerebral cortex of rats treated subchronically with ketamine. We found consistent changes in the synaptic proteomes of human schizophrenics and in rats with induced ketamine psychosis compared to controls. However, commonly regulated proteins between both groups were very limited and only prohibitin was found upregulated in both chronic schizophrenia and the rat ketamine model. Prohibitin, however, could be a new potential marker for the synaptic pathology of schizophrenia and might be causally involved in the disease process.

Psychiatric research: psychoproteomics, degradomics and systems biology

While proteomics has excelled in several disciplines in biology (cancer, injury and aging), neuroscience and psychiatryproteomic studies are still in their infancy. Several proteomic studies have been conducted in different areas of psychiatric disorders, including drug abuse (morphine, alcohol and methamphetamine) and other psychiatric disorders (depression, schizophrenia and psychosis). However, the exact cellular and molecular mechanisms underlying these conditions have not been fully investigated. Thus, one of the primary objectives of this review is to discuss psychoproteomic application in the area of psychiatric disorders, with special focus on substance- and drug-abuse research. In addition, we illustrate the potential role of degradomic utility in the area of psychiatric research and its application in establishing and identifying biomarkers relevant to neurotoxicity as a consequence of drug abuse. Finally, we will discuss the emerging role of systems biology and its current use in the field of neuroscience and its integral role in establishing a comprehensive understanding of specific brain disorders and brain function in general.

An organelle proteomic method to study neurotransmission-related proteins, applied to a neurodevelopmental model of schizophrenia

Limited information is currently available on molecular events that underlie schizophrenia-like behaviors in animal models. Accordingly, we developed an organelle proteomic approach enabling the study of neurotransmission-related proteins in the prefrontal cortex (PFC) of postpubertal (postnatal day 60 (PD60)) neonatally ventral hippocampal (nVH) lesioned rats, an extensively used neurodevelopmental model of schizophrenia-like behaviors. The PFC was chosen because of its purported role in the etiology of the disease. Statistical analysis of 392 reproducible spots on 2-D organelle proteomic patterns revealed significant changes in intensity of 18 proteinous spots in plasma membrane-enriched fractions obtained from postpubertal nVH lesioned rats compared to controls. Mass spectrometric analysis and database searching allowed the identification of a single protein in each of the nine differential spots, including proteins of low abundance, such as neurocalcin delta. Most of the identified dysregulated proteins, including clathrin light chain B, syntaxin binding protein 1b and visinin-like protein 1 are known to be linked to various neurotransmitter systems and to play key roles in plasma membrane receptor expression and recycling as well as synaptic vesicle exocytosis/recycling. Organelle proteomic approaches have hence proved to be most useful to identify key proteins linked to a given behavior in animal models of brain diseases.

Decreased hippocampal cholinergic neurostimulating peptide precursor protein associated with stress exposure in rat brain by proteomic analysis

The stress response alters behavior, autonomic function, and secretion of multiple hormones, including corticotropin-releasing factor, adrenocorticotropin hormone, and cortisol, through the hypothalamic-pituitary-adrenal axis. Constitutive stress responses lead to a number of psychiatric disorders, including depression, posttraumatic stress disorder, Alzheimer's disease (AD), and other anxiety disorders through increased stress hormones and other unknown factors. Here, we performed a proteomic analysis of rat brain exposed to restraint stress compared with a nonstress group by using 2D-DIGE and MALDI-TOF analysis. Several proteins were identified by peptide mass fingerprint (PMF), including down-regulated hippocampal cholinergic neurostimulating peptide precursor protein (HCNP-pp). The current study demonstrates that HCNP-pp mRNA and protein expression are decreased in rat hippocampus after stress exposure. The level of HCNP-pp in H19-7, a rat hippocampal cell line, significantly decreases with dexamethasone treatment, a synthetic glucocorticoid. Thus, this finding suggests that HCNP-pp expression may decrease in response to stress exposure. Decreased HCNP-pp from stress exposure may result in lower levels of HCNP that might contribute to a loss of acetylcholine production.

Protocol to enrich and analyze plasma membrane proteins from frozen tissues

This chapter presents procedures for preparation and analysis of fractions enriched in plasma membranes from frozen tissue. It consists of a method for extraction and fractionation of membranes and a method for enzymatic digestion of membrane proteins without use of detergents. The method for isolation of membranes comprises a stepwise depletion of non-integral membrane proteins from entire tissue homogenate by high-salt, carbonate, and urea washes followed by treatment of the membranes with sublytic concentrations of digitonin and enrichment of the plasma membranes by a density gradient fractionation. Reduction, carboxymethylation, and digestion with endoproteinase Lys-C are carried out on non-solubilized membranes. The entire procedure allows processing and preparation of samples of minute amounts as 10-20 mg tissue and therefore can be extremely helpful for proteomic profiling of small pieces of tissue and clinical material.

Proteomics Identification of Proteins in Human Cortex Using Multidimensional Separations and MALDI Tandem Mass Spectrometer

It is essential to characterize the proteome of various regions of human brain because most, if not all, neurodegenerative diseases are region-specific. Here we report an in-depth proteomics identification of proteins extracted from the frontal cortex, a region playing a critical role in cognitive function. The integrated proteomics analytical flow consisted of biochemical fractionation, strong cation exchange chromatography, reverse phase liquid chromatography, and MALDI-TOF/TOF mass spectrometric analysis. In total, 812 proteins were confidently identified with two or more peptides. These proteins demonstrated diverse isoelectric points and molecular weights and are involved in several molecular functions, including protein binding, catalytic activity, transport, structure, and signal transduction. A number of proteins known to be associated with neurodegenerative diseases were also identified. Detailed characterization of these proteins will supply the necessary information to appropriately interpret proteins associated with aging and/or age-related neurodegenerative diseases. Finally 140 proteins found in the cortical proteome were present in the proteome of cerebrospinal fluid, providing tissue-specific candidates for biomarker discovery in body fluid.

Translational research in late-life mood disorders: implications for future intervention and prevention research

Clinical and epidemiological studies have consistently observed the heterogeneous symptomatology and course of geriatric depression. Given the importance of genetic and environmental risk factors, aging processes, neurodegenerative and cerebrovascular disease processes, and medical comorbidity, the integration of basic and clinical neuroscience research approaches is critical for the understanding of the variability in illness course, as well as the development of prevention and intervention strategies that are more effective. These considerations were the impetus for a workshop, sponsored by the Geriatrics Research Branch in the Division of Adult Translational Research and Treatment Development of the National Institute of Mental Health that was held on September 7-8, 2005. The primary goal of the workshop was to bring together investigators in geriatric psychiatry research with researchers in specific topic areas outside of geriatric mental health to identify priority areas to advance translational research in geriatric depression. As described in this report, the workshop focused on a discussion of the development and application of integrative approaches combining genetics and neuroimaging methods to understand such complex issues as treatment response variability, the role of medical comorbidity in depression, and the potential overlap between depression and dementia. Future directions for integrative research were identified. Understanding the nature of geriatric depression requires the application of translational research and interdisciplinary research approaches. Geriatric depression could serve as a model for translational research integrating basic and clinical neuroscience approaches that would have implications for the study of other neuropsychiatric disorders.

Proteomics of Alzheimer's disease: understanding mechanisms and seeking biomarkers

Alzheimer's disease is the scourge of the modern, aging world: a costly, damaging disease that robs the elderly of their ability to function as well as their memories. Three decades of progress have resulted in a deep understanding of the pathological processes and a range of targets for therapy, many of which have advanced to late-stage clinical trials. Proteomics has contributed greatly to these advances and will continue to have a growing role in determining the nature of the pathological lesions in the brain. In addition, proteomics (both gel based and gel free, mass spectrometry based), is likely to play an increasing role in identifying biomarkers that may assist in early diagnosis and in monitoring progression and, most importantly, response to therapy.

Proteomics in neurosciences

This review provides an outline of the most important proteomic applications in the study of neurodegenerative disorders including Alzheimer's (AD), Parkinson's (PD), Huntington's (HD), and prion diseases, and also discusses advances in cancer and addiction. One of the scopes is to illustrate the potential of proteomics in the biomarkers discovery of these diseases. Finally, this article comments the advantages and drawbacks of the most commonly used techniques and methods for samples preparation.

Quantitative proteomic profiling of membrane proteins from the mouse brain cortex, hippocampus, and cerebellum using the HysTag reagent: mapping of neurotransmitter receptors and ion channels

Analysis of the brain proteome and studying brain diseases through clinical biopsies and animal disease models require methods of quantitative proteomics that are sensitive and allow identification and quantification of low abundant membrane proteins from minute amount of tissue. Taking advantage of recently developed methods for isolation of membrane proteins from 10-20 mg brain tissue [Nielsen, P.Aa., Olsen, J.V., Podtelejnokov, A.V., Andersen, J.R., Mann, M., Wiśniewski, J.R., 2005. Proteomic mapping of brain plasma membrane proteins. Mol. Cell. Proteomics 4, 402--408] and the HysTag-quantification method [Olsen, J.V., Andersen, J.R., Nielsen, P.Aa., Nielsen, M.L., Figeys, D., Mann, M., Wiśniewski, J.R., 2004. HysTag---A novel proteomic qualification tool applied to differential analysis of membrane proteins from distinct areas of mouse brain. Mol. Cell. Proteomics 3, 82--92] we performed quantitative proteomic analysis of three functionally distinct compartments of mouse brain: cortex, hippocampus, and cerebellum. In total, 976 unique peptides corresponding to 555 unique proteins were quantified. Up to 20-fold differences in the levels of some proteins between brain areas were measured. For many quantified proteins--as for glutamate receptors, calcium channel subunits, and ATP-ases--an excellent correlation between our proteomic data and previously published mRNA expression levels or intensity of immunostaining was found. Our results clearly demonstrate differences in levels of membrane proteins mapped in distinct brain compartments and offer a technology that allows in depth study of brain membrane proteomes, such as mouse models of neurological diseases.

Proteome analysis of human placentae: pre-eclampsia versus normal pregnancy

Although placental proteins play multiple roles in fetal and placental development and in the maintenance of pregnancy, many remain inadequately characterized. In the present study, we comprehensively analyzed these proteins by using a proteomic approach. Samples were denatured with guanidine hydrochloride, which was found to be superior to the commonly used urea for the present purpose, and subjected to 2-dimensional (2D) electrophoresis (2-DE) to obtain placental proteome maps. The identified protein spots (ca. 60% of the total) on the proteome maps included several pregnancy-related proteins (PRPs). Furthermore, a novel 2D immunoblotting (2-DI) analysis of molecules related to pre-eclampsia revealed three immunopositive spots that appeared to correspond to dynactin p-50, a protein related to cell turn-over. The rate of positivity for dynactin p-50-reactive antibodies was significantly (P=0.0024) higher in 26 pre-eclamptic women than in 58 normally pregnant women. These results indicate that dynactin p-50 may be involved in the pathophysiology of pre-eclampsia.

Applications and current challenges of proteomic approaches, focusing on two-dimensional electrophoresis

Since the formulation of the concept of "proteomics" in 1995, a plethora of proteomic technologies have been developed in order to study proteomes of tissues, cells and organelles. The powerful new technologies enabled by proteomic approaches have lead to the application of these methods to an exponentially increasing variety of biological questions for highly complex protein mixtures. Continuous technical optimization allows for an ever-increasing sensitivity of proteomic techniques. In this review, a brief overview of currently available proteomic techniques and their applications is given, followed by a more detailed description of advantages and technical challenges of two-dimensional electrophoresis (2-DE). Some solutions to circumvent currently encountered technical difficulties for 2-DE analyses are proposed.

From genes to systems: new global strategies for the characterization of NCL biology

Neuronal ceroid lipofuscinoses (NCL) are rare neurological disorders with a uniform phenotype, caused by mutations in seven known genes. NCL provide a unique model to characterize molecular pathways critical for normal neuronal development and pathological neuronal degeneration. Systems biology based approach utilizes the rapidly developing tools of genomics, proteomics, lipidomics and metabolomics and aims at thorough understanding of the functions of cells, tissues and whole organisms by molecular analysis and biocomputing-assisted modeling. The systems level understanding of NCL is now possible by utilizing different model organisms. Initial work has revealed disturbed metabolic pathways in several NCL disorders and most analyses have utilized the infantile (INCL/CLN1) and juvenile (JNCL/CLN3) disease modeling and utilized mainly human and mouse samples. To date, the data obtained from transcript and lipidomic profiling has pinpointed the role of lipid metabolism and synaptic function in the infantile NCL. Changes in glutamate utilization and amino acid metabolism have been a common theme emerging from the transcript and metabolite profiling of the juvenile NCL. Further experimental models are being developed and systematic sample collection as well as data integration projects are needed. The combined analyses of the global information should provide means to expose all the NCL-associated molecular pathways.

Two-dimensional protein electrophoresis: from molecular pathway discovery to biomarker discovery in neurological disorders

Two-dimensional protein electrophoresis (2-DE) has undergone many technical improvements in the past 30 years, resulting in an analytical method that is unparalleled in the resolution of complex protein mixtures and capable of quantifying changes in protein expression from a wide variety of tissues and samples. The technique has been applied in many studies of neurologic disease to identify changes in spot patterns that correlate with disease. The true power of the technique emerges when it is coupled to state-of-the-art methods in mass spectrometry, which enable identification of the protein or proteins contained within a spot of interest on a 2-DE map. Investigators have successfully applied the technique to gain improved understanding of neurologic disease mechanisms in humans and in animal models and to discover biomarkers that are useful in the clinical setting. An important extension to these efforts that has not been realized thus far is the desire to profile changes in protein expression that result from therapy to help relate disease-modifying effects at the molecular level with clinical outcomes. Here we review the major advances in 2-DE methods and discuss specific examples of its application in the study of neurologic diseases.