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Synaptosomal proteome of the orbitofrontal cortex from schizophrenia patients using quantitative label-free and iTRAQ-based shotgun proteomics Erika Velásquez, Fabio C.S. Nogueira, Ingrid Velásquez, Andrea Schmitt, Peter Falkai, Gilberto B. Domont, and Daniel Martins de Souza J. Proteome Res., Just Accepted Manuscript • DOI: 10.1021/acs.jproteome.7b00422 • Publication Date (Web): 26 Sep 2017 Downloaded from http://pubs.acs.org on September 28, 2017
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Synaptosomal proteome of the orbitofrontal cortex from schizophrenia
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patients using quantitative label-free and iTRAQ-based shotgun
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proteomics
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Erika Velásquez1, Fabio CS Nogueira1,2, Ingrid Velásquez3, Andrea Schmitt4, Peter
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Falkai4, Gilberto B Domont1* and Daniel Martins-de-Souza5,6*
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1
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University of Rio de Janeiro.
Proteomics Unit, Department of Biochemistry, Institute of Chemistry, Federal
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2
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Rio de Janeiro.
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3
University of Carabobo, Venezuela.
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4
Department of Psychiatry and Psychotherapy, Ludwig Maximilian University of
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Munich (LMU), Munich, Germany.
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5
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University of Campinas (UNICAMP).
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6
Laboratory of Proteomics, LADETEC, Institute of Chemistry, Federal University of
Laboratory of Neuroproteomics, Department of Biochemistry, Institute of Biology,
UNICAMP’s Neurobiology Center, Campinas, Brazil.
18 19
Corresponding authors:
[email protected];
[email protected] 20 21
ABSTRACT: Schizophrenia is a chronic and incurable neuropsychiatric disorder which
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affects about one percent of the world population. The proteomic characterization of the
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synaptosome fraction of the orbitofrontal cortex is useful for providing valuable
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information about the molecular mechanisms of synaptic functions in these patients.
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Quantitative analyses of synaptic proteins were made with 8 paranoid schizophrenia 1 ACS Paragon Plus Environment
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patients and a pool of 8 healthy controls free of mental diseases. Label-free and iTRAQ
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labeling identified a total of 2018 protein groups. Statistical analyses revealed 12 and 55
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significantly dysregulated proteins by iTRAQ and label-free, respectively. Quantitative
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proteome analyses showed an imbalance in the calcium signaling pathway and proteins
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such as Reticulon-1 and Cytochrome c, related to endoplasmic reticulum stress and
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programmed cell death. Also, it was found that there is a significant increase of limbic
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system-associated membrane protein and α-calcium/calmodulin-dependent protein
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kinase II, associated to the regulation of human behavior. Our data contribute to a better
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understanding about apoptosis as a possible pathophysiological mechanism of this
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disease, as well as neural systems supporting social behavior in schizophrenia. This
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study also is a joint effort of the Chr 15 C-HPP team and the Human Brain Proteome
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Project of B/D-HPP. All MS proteomics data are deposited in the ProteomeXchange
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Repository under PXD006798.
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Keywords: Schizophrenia, synaptosome, orbitofrontal cortex, quantitative proteomics
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1. INTRODUCTION
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Considered chronic and incurable neuropsychiatric disorder schizophrenia affects about
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one percent of the world population. Typical clinical manifestations of this disease are
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the positive symptoms as hallucinations, delusions, disordered thoughts and speech,
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negative symptoms like anhedonia, apathy, blunting of affect, social withdrawal with
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substantial functional deficiency in interpersonal relationships, work or personal care
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along and cognitive deficit with difficulty in attention and working memory 1 2. Around
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30% of patients with schizophrenia will not respond satisfactorily to the use of
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antipsychotics3 and current pharmacological therapy is largely ineffective for the
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treatment of cognitive impairments and negative symptoms4. Schizophrenia inheritance 2 ACS Paragon Plus Environment
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is passed along by several genetic variations each with small effects. The genome-wide
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association studies (GWA) made by the Schizophrenia Working Group of Psychiatric
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Genomics Consortium5 revealed in a total of 128 significant independent single
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nucleotide polymorphisms distributed in 108 independent loci are related to
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schizophrenia, highlighting genes involved in glutamatergic neurotransmission, synaptic
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plasticity, dopamine receptor D2, voltage-gated calcium channel subunits, and also the
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major histocompatibility complex, a consistent candidate found in other GWA studies6.
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However, the underlying causes and pathophysiological mechanisms of this disease are
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still not fully elucidated.
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The evidence of synaptic dysfunction present in the etiology of schizophrenia was
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indirectly demonstrated after the discovery of the antipsychotic properties and
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mechanism of action of dopamine D2-like receptor antagonists, which ameliorated
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psychotic symptoms through their action upon neurotransmitter systems7. In the last
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decade, proteomics studies have tried to elucidate the pathophysiology of schizophrenia
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using different areas of post-mortem brain tissue from schizophrenia patients and
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comparing the results to mentally healthy controls8. Already, proteomic characterization
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of different brain areas has revealed the following biochemical alterations: energy
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metabolism9; oligodendrocyte function10; signaling pathways associated with axon
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formation and synaptic plasticity11; calcium homeostasis and the immune system12;
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expression of synaptic proteins like syntaxin-binding protein, brain abundant
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membrane-attached signal protein 1, and limbic system-associated membrane protein13;
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and in the clathrin-mediated endocytosis and N-methyl-D-aspartate proteins, which are
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part of the endocytic and long-term potentiation pathways, respectively14.
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Despite the development of animal15 and in vitro16 biological models for understanding
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the interactions between neurotransmitter systems and correlating their relationship with
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schizophrenia
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pathophysiological processes of negative symptoms and suicidal ideation17. However,
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the study of post-mortem brain tissue can still provide valuable information about the
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pathophysiology of schizophrenia18. The objective of this study was to perform a
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proteomic characterization of the synaptosome fraction of the orbitofrontal cortex,
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which was still unexplored. This brain region receives connections from the medial
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prefrontal cortex, amygdala, hypothalamus, insula/operculum, and dopaminergic
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midbrain, as well as areas of the basal ganglia, like the ventral and dorsal striatum19 20.
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Its function regulates appropriate emotional responses in association with learning,
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prediction, and decision-making for emotional- and reward-related behaviors19.
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Additionally, protein functions are related to subcellular localization, because organelles
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offer different interaction partners and chemical environments; these changes in protein
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localization regulate the activity of the biological pathways involved21. In this context,
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synaptosomes are useful for studying the molecular mechanisms of synaptic function
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and the identification. The quantification of synaptic proteins using label-free and
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iTRAQ labeling will be helpful to unravel new cellular mechanisms for this disease,
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providing a better understanding of schizophrenia pathogenesis and allowing the
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identification of possible candidates as new therapeutic targets.
symptoms,
these
models
are
limited
in
the
evaluation
of
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Finally, this research improved the characterization of disease-associated proteins that
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will contribute to the construction of a comprehensive map of the entire human
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proteome following the goal of the Chromosome-centric and Biology/ Diseases Human
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Proteome Projects.
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2. EXPERIMENTAL PROCEDURES
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2.1. Brain samples
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Brain tissue samples (Orbitofrontal, Prefrontal cortex, PFC) were collected postmortem
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from 8 chronic schizophrenia patients diagnosed antemortem by an experienced
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psychiatrist according to the Diagnostic and Statistical Manual of Mental Disorders
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(DSM-IV) criteria as residual schizophrenia, with paranoid episodes (295.6) and 8
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controls (Table S-1). Patient samples were collected at the State Mental Hospital in
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Wiesloch, and control samples from the Institute of Neuropathology, Heidelberg
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University, in Heidelberg, both in Germany. Controls were free from any brain or
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somatic diseases and had not taken antidepressants or antipsychotics during their
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lifetime. All brains analyzed here were submitted for neuropathological characterization
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to rule out any other associated brain disorders. Braak staging was required to be less
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than II for all brains. Schizophrenia patients have a record of antipsychotic treatment, so
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chlorpromazine equivalents (CPE) could be calculated. For typical neuroleptics and
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clozapine, we used Jahn and Mussgay’s algorithm
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white Germans with no history of alcohol or drug abuse, according to subjects and
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familial information. All assessments, postmortem evaluations, and procedures were
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approved by the ethics committee of the Faculty of Medicine, Heidelberg University,
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Heidelberg, Germany.
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. All patients and controls were
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2.2. Subcellular enrichment.
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PFC brain tissue (50mg) was homogenized in 10 volumes of buffer A (0.32M sucrose,
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4mM HEPES pH 7.4, protease cocktail inhibitor tablet (Roche) and phosphatase
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inhibitor cocktail I and II (Sigma). All procedures were performed at 4 0C. The 5 ACS Paragon Plus Environment
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homogenate was centrifuged at 1,000 x g for 10 min, the supernatant was transferred to
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a new tube (S1) and the pellet (P1) was resuspended in 10 volumes of buffer A and
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centrifuged at 1,000 x g for 10 min (S2, P2). S1 and S2 (S) were combined and
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centrifuged at 17,000 x g for 55 min (S3, P3). P3 was resuspended in 0.32M sucrose
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and laid on top of a discontinuous sucrose density gradient (1ml 0.32/1ml 0.8/1ml 1.2)
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and ultracentrifuged at 25,000 rpm for 2h. The synaptosomal fraction was (SYN)
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extracted from 1.2/0.8 interphase, diluted 1:1 (v/v) in water and ultracentrifuged at
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40,000 rpm for 60 min (S4, P4). P4 was diluted in 10 μl distilled water and stored at -20
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0
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1). Once enriched, proteins from each of the compartments were extracted as described
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in the study of Saia-Cereda and collaborators 23.
C. Efficiency of cellular compartment enrichment was verified by Western blot (Figure
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2.3. Western blot
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Protein lysates had their protein concentrations determined using a Bradford assay
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(BioRad; Munich, Germany). Protein extracts (20 µg) from each sample were
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electrophoresed in 12% SDS-PAGE (BioRad; Hercules, CA, USA). Proteins were then
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transferred electrophoretically to Immobilon-FL polyvinyldiphenyl fluoride (PVDF)
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membranes (Millipore; Bedford, MA, USA) at 100 V for 1 h, using a cooling system.
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PVDF membranes containing the transferred proteins were treated with 5% Carnation
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instant non-fat dry milk powder in Tris buffered saline (pH 7.4) containing 0.1% Tween
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−20 (TBS-T) for 4 h, rinsed in TBS-T three times for a total of 20 min and incubated
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with collapsin 2 for cytosolic proteins, ATP5A1 for mitochondrial proteins, PSD95 for
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synaptosomal proteins, and HDAC1 for nuclear proteins, at a dilution of 1:1000 in TBS-
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T overnight at 4 0C (all antibodies were from Abcam; Cambridge, UK). Following the
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overnight incubation, the membranes were washed twice with TBS-T for 15 min per
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wash. Next, the membranes were incubated with anti-c-MYC-peroxidase antibody
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1:10000 (GE Healthcare; Uppsala, Sweden) for 40 min at room temperature, washed
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with water and TBS-T, and incubated with Enhanced Chemiluminescence (ECL)
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solution (GE Healthcare) for 1 min. The membranes were scanned using a Gel DocTM
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XR+ System (Silk Scientific Incorporated; Orem, UT, USA) and the optical densities of
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the immunoreactive bands were measured using Quantity One software (Bio-Rad).
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Protein loading was determined by staining PVDF membranes with Ponceau S to ensure
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equal loading in each gel lane.
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2.4. Enzymatic digestion.
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Ten µg of SYN proteins were reduced with 5 mM tris(2-carboxyethyl)phosphine (1
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hour at 30 0C), alkylated with 10 mM iodoacetamide (30 min at room temperature), and
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diluted 1:10 with 50 mM triethylammonium bicarbonate (TEAB) pH 8, followed by
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digestion with trypsin (1:50) for 18 hours at 35 0C. Peptides were desalted in C18 micro
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columns (Harvard apparatus), dried in a vacuum centrifuge, resuspended in 30 µl of 20
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mM TEAB pH 8,0 and quantified by Qubit® protein assay (Invitrogen) for iTRAQ
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labeling, following the manufacturer’s recommendations. In label-free analyses the
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peptides were resuspended in 0.1% formic acid, quantified by Qubit® protein assay,
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and analyzed by mass spectrometry.
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2.5. iTRAQ Labeling
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Following manufacturer's instructions, 5 µg of peptides were labeled with iTRAQ®
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Reagents – 4-plex. The organization of iTRAQ 4-plex was made up as follows: three
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channels (114, 115 and 116) were labeled with one different schizophrenia preparation
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and one channel (117) containing a pool of control samples (n=8). The pool of controls
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was the common element used for normalization and comparison between the iTRAQ
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sets .Labeled peptides were dried to 20 µl and diluted to a final volume of 100 µl with
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KH2PO4 5 mM / ACN 25% pH 3 for SCX chromatography (Harvard apparatus) by
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one-step peptide elution with 500 mM KCl24. Samples were cleaned in a C18 column,
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dried, and resuspended in 0.1% formic acid for quantification (Qubit®) and LC-MS/MS
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analyses.
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2.6. LC-MS/MS analyses
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Two µg of peptides were analyzed in technical triplicate after three hours of gradient
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(5% to 40% B / 167 minutes; 40% to 95% B / 5 min; 95% B / 8 minutes). nanoLC
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solvent A consisted of (95% H2O / 5% acetonitrile (ACN) / 0.1% formic acid) and
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solvent B of (95% ACN / 5% H2O / 0.1% formic acid). Trap-column length was 3 cm
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with an internal diameter of 200 µm (5 µm spheres-Reprosil Pur C18, Dr. Maish) and
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analytical column of 15 cm and internal diameter of 75 µm (3 µm spheres- Reprosil Pur
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C18, Dr. Maish). In iTRAQ analyses, nanoESI was carried out under steam atmosphere
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provided by 5% ammonium hydroxide using a nLC Proxeon EASY-II system (Thermo
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Scientific) on-line with LTQ Orbitrap Velos (Thermo Scientific) mass spectrometer;
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label-free quantification was performed in an Easy-nLC 1000 (Thermo Scientific)
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coupled to a QExactive Plus (Thermo Scientific).
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LTQ Orbitrap Velos settings for data-dependent acquisition mode (DDA) were:
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dynamic exclusion list of 90 s, spray voltage at 2.5 kV, and no auxiliary gas flow. Full
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MS scan was acquired at a resolution of 60,000 and at m/z 400 in the Orbitrap analyzer,
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and the ten most intense ions were selected for fragmentation by higher-energy collision
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dissociation (HCD) with normalized collision energy of 40. MS2 spectra were analyzed
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in the Orbitrap (resolution of 7,500at m/z 400). QExactive Plus in FullScan-DDA MS2
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mode used a dynamic exclusion list of 45 s and spray voltage at 2.30 kV. Full scan was
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acquired at a resolution of 70,000 at m/z 200, with a m/z range of 350-2000, AGC of
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1x106, and injection time of 50 ms. Selection of the twenty most intense ions for HCD
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fragmentation used a normalized collision energy of 30, precursor isolation window of
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m/z 1.2 and 0.5 off-set, a resolution of 17,500 at m/z 200, AGC at 5x105, and injection
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time of 100 ms.
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2.7. Data analysis
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Data were analyzed by the Proteome Discoverer 2.1 software using a human database
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downloaded from neXtprot (May 2017). The parameters used were: full-tryptic search
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space, up to two missed cleavages allowed for trypsin, precursor mass tolerance of 10
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ppm, and fragment mass tolerance of 0.1 Da. Carbamidomethylation of cysteine was
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included as fixed modification, and methionine oxidation and protein N-terminal
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acetylation as dynamic modifications in Label-free quantification. iTRAQ modifications
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(K, Y, and N-terminal) were additionally considered as dynamic modifications for the
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iTRAQ labeled samples.
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Spectra analyses used a target-decoy strategy considering maximum delta CN of 0.05,
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all available peptide-spectrum matches, and a target false discovery rate (FDR) 0.01
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(strict). Parameters in the peptide filter were set up for high confidence with a minimum
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peptide length of 6 aminoacids. For protein filter was considered the minimum number
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of peptide sequence as 1, counting only rank 1 peptides. Peptide shared between
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multiple proteins was counted for the top scoring protein. The confidence thresholds in
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FDR protein validator were 0.01 for target FDR (strict). The strategy for protein
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grouping was strict parsimony. In the peptide and protein quantification module, for
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iTRAQ and label-free analysis, unique peptides were considered. The calculation of
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fold-change was made using the patients as numerator and pool of controls as
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denominator. For iTRAQ quantification, reporter abundance was automatic, applying
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the correction for the impurity reporter and a filter to do not report quantitative values
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for a single-peak in the precursor isotope pattern. Extraction ion chromatography
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strategy was used for label-free quantification.
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2.8. Statistical analyses
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Statistical evaluation of the data was performed by the Inferno RDN program (Polpitiya
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et al., 2008), unique peptides being normalized using Central Tendency and the absolute
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deviation of adjusted median (MAD). The peptides were extrapolated to their
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corresponding protein through RRollup using the Grubbs test, with a minimum of three
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peptides and p-value