Diving into the proteomic atlas of SARS-CoV-2 infected cells.

The COVID-19 pandemic was initiated by the rapid spread of a SARS-CoV-2 strain. Though mainly classified as a respiratory disease, SARS-CoV-2 infects multiple tissues throughout the human body, leading to a wide range of symptoms in patients. To better understand how SARS-CoV-2 affects the proteome from cells with different ontologies, this work generated an infectome atlas of 9 cell models, including cells from brain, blood, digestive system, and adipocyte tissue. Our data shows that SARS-CoV-2 infection mainly trigger dysregulations on proteins related to cellular structure and energy metabolism. Despite these pivotal processes, heterogeneity of infection was also observed, highlighting many proteins and pathways uniquely dysregulated in one cell type or ontological group. These data have been made searchable online via a tool that will permit future submissions of proteomic data ( https://reisdeoliveira.shinyapps.io/Infectome_App/ ) to enrich and expand this knowledgebase.

Serine-129 phosphorylation of α-synuclein is an activity-dependent trigger for physiologic protein-protein interactions and synaptic function.

Phosphorylation of α-synuclein at the serine-129 site (α-syn Ser129P) is an established pathologic hallmark of synucleinopathies and a therapeutic target. In physiologic states, only a fraction of α-syn is phosphorylated at this site, and most studies have focused on the pathologic roles of this post-translational modification. We found that unlike wild-type (WT) α-syn, which is widely expressed throughout the brain, the overall pattern of α-syn Ser129P is restricted, suggesting intrinsic regulation. Surprisingly, preventing Ser129P blocked activity-dependent synaptic attenuation by α-syn-thought to reflect its normal function. Exploring mechanisms, we found that neuronal activity augments Ser129P, which is a trigger for protein-protein interactions that are necessary for mediating α-syn function at the synapse. AlphaFold2-driven modeling and membrane-binding simulations suggest a scenario where Ser129P induces conformational changes that facilitate interactions with binding partners. Our experiments offer a new conceptual platform for investigating the role of Ser129 in synucleinopathies, with implications for drug development.

Proteomic signatures of schizophrenia-sourced iPSC-derived neural cells and brain organoids are similar to patients' postmortem brains.

BACKGROUND: Schizophrenia is a complex and severe neuropsychiatric disorder, with a wide range of debilitating symptoms. Several aspects of its multifactorial complexity are still unknown, and some are accepted to be an early developmental deficiency with a more specifically neurodevelopmental origin. Understanding the timepoints of disturbances during neural cell differentiation processes could lead to an insight into the development of the disorder. In this context, human brain organoids and neural cells differentiated from patient-derived induced pluripotent stem cells are of great interest as a model to study the developmental origins of the disease. RESULTS: Here we evaluated the differential expression of proteins of schizophrenia patient-derived neural progenitors (NPCs), early neurons, and brain organoids in comparison to healthy individuals. Using bottom-up shotgun proteomics with a label-free approach for quantitative analysis, we found multiple dysregulated proteins since NPCs, modified, and disrupted the 21DIV neuronal differentiation, and cerebral organoids. Our experimental methods have shown impairments in pathways never before found in patient-derived induced pluripotent stem cells studies, such as spliceosomes and amino acid metabolism; but also, those such as axonal guidance and synaptogenesis, in line with postmortem tissue studies of schizophrenia patients. CONCLUSION: In conclusion, here we provide comprehensive, large-scale, protein-level data of different neural cell models that may uncover early events in brain development, underlying several of the mechanisms within the origins of schizophrenia.

Protein Succinylation and Malonylation as Potential Biomarkers in Schizophrenia.

Two protein post-translational modifications, lysine succinylation and malonylation, are implicated in protein regulation, glycolysis, and energy metabolism. The precursors of these modifications, succinyl-CoA and malonyl-CoA, are key players in central metabolic processes. Both modification profiles have been proven to be responsive to metabolic stimuli, such as hypoxia. As mitochondrial dysfunction and metabolic dysregulation are implicated in schizophrenia and other psychiatric illnesses, these modification profiles have the potential to reveal yet another layer of protein regulation and can furthermore represent targets for biomarkers that are indicative of disease as well as its progression and treatment. In this work, data from shotgun mass spectrometry-based quantitative proteomics were compiled and analyzed to probe the succinylome and malonylome of postmortem brain tissue from patients with schizophrenia against controls and the human oligodendrocyte precursor cell line MO3.13 with the dizocilpine chemical model for schizophrenia, three antipsychotics, and co-treatments. Several changes in the succinylome and malonylome were seen in these comparisons, revealing these modifications to be a largely under-studied yet important form of protein regulation with broad potential applications.

Modulating Specific Pathways In Vitro to Understand the Synaptic Dysfunction of Schizophrenia.

Schizophrenia is an incurable mental disorder that affects 1% of the world population and is among the most disabling human diseases. On average, 70% of patients abandon medication due to its low efficacy and the presence of severe side effects. To change these conditions, it is necessary to understand the pathophysiology of schizophrenia at the molecular level. Besides the long-established neurodevelopmental hypothesis, works based on neuroimaging, postmortem brain proteomics, and pharmacological, genetic, and animal model studies have shown dysfunction and deficits in synaptic transmission. Currently, genetic editing has been growing, and the use of this technique has been improved in the discovery of protein functions; in addition to that, some recent studies have attributed a path to the use of genetic engineering in the treatment of diseases with a genetic nature.

14-3-3 proteins at the crossroads of neurodevelopment and schizophrenia.

The 14-3-3 family comprises multifunctional proteins that play a role in neurogenesis, neuronal migration, neuronal differentiation, synaptogenesis and dopamine synthesis. 14-3-3 members function as adaptor proteins and impact a wide variety of cellular and physiological processes involved in the pathophysiology of neurological disorders. Schizophrenia is a psychiatric disorder and knowledge about its pathophysiology is still limited. 14-3-3 have been proven to be linked with the dopaminergic, glutamatergic and neurodevelopmental hypotheses of schizophrenia. Further, research using genetic models has demonstrated the role played by 14-3-3 proteins in neurodevelopment and neuronal circuits, however a more integrative and comprehensive approach is needed for a better understanding of their role in schizophrenia. For instance, we still lack an integrated assessment of the processes affected by 14-3-3 proteins in the dopaminergic and glutamatergic systems. In this context, it is also paramount to understand their involvement in the biology of brain cells other than neurons. Here, we present previous and recent research that has led to our current understanding of the roles 14-3-3 proteins play in brain development and schizophrenia, perform an assessment of their functional protein association network and discuss the use of protein-protein interaction modulators to target 14-3-3 as a potential therapeutic strategy.

Human Cerebral Organoids and Fetal Brain Tissue Share Proteomic Similarities.

The limited access to functional human brain tissue has led to the development of stem cell-based alternative models. The differentiation of human pluripotent stem cells into cerebral organoids with self-organized architecture has created novel opportunities to study the early stages of the human cerebral formation. Here we applied state-of-the-art label-free shotgun proteomics to compare the proteome of stem cell-derived cerebral organoids to the human fetal brain. We identified 3,073 proteins associated with different developmental stages, from neural progenitors to neurons, astrocytes, or oligodendrocytes. The major protein groups are associated with neurogenesis, axon guidance, synaptogenesis, and cortical brain development. Glial cell proteins related to cell growth and maintenance, energy metabolism, cell communication, and signaling were also described. Our data support the variety of cells and neural network functional pathways observed within cell-derived cerebral organoids, confirming their usefulness as an alternative model. The characterization of brain organoid proteome is key to explore, in a dish, atypical and disrupted processes during brain development or neurodevelopmental, neurodegenerative, and neuropsychiatric diseases.

The Energy Metabolism Dysfunction in Psychiatric Disorders Postmortem Brains: Focus on Proteomic Evidence.

Psychiatric disorders represent a great medical and social challenge and people suffering from these conditions face many impairments regarding personal and professional life. In addition, a mental disorder will manifest itself in approximately one quarter of the world's population at some period of their life. Dysfunction in energy metabolism is one of the most consistent scientific findings associated with these disorders. With this is mind, this review compiled data on disturbances in energy metabolism found by proteomic analyses of postmortem brains collected from patients affected by the most prevalent psychiatric disorders: schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD). We searched in the PubMed database to gather the studies and compiled all the differentially expressed proteins reported in each work. SCZ studies revealed 92 differentially expressed proteins related to energy metabolism, while 95 proteins were discovered in BPD, and 41 proteins in MDD. With the compiled data, it was possible to determine which proteins related to energy metabolism were found to be altered in all the disorders as well as which ones were altered exclusively in one of them. In conclusion, the information gathered in this work could contribute to a better understanding of the impaired metabolic mechanisms and hopefully bring insights into the underlying neuropathology of psychiatric disorders.

The Nuclear Proteome of White and Gray Matter from Schizophrenia Postmortem Brains.

Schizophrenia (SCZ) is a serious neuropsychiatric disorder that manifests through several symptoms from early adulthood. Numerous studies over the last decades have led to significant advances in increasing our understanding of the factors involved in SCZ. For example, mass spectrometry-based proteomic analysis has provided important insights by uncovering protein dysfunctions inherent to SCZ. Here, we present a comprehensive analysis of the nuclear proteome of postmortem brain tissues from corpus callosum (CC) and anterior temporal lobe (ATL). We show an overview of the role of deregulated nuclear proteins in these two main regions of the brain: the first, mostly composed of glial cells and axons of neurons, and the second, represented mainly by neuronal cell bodies. These samples were collected from SCZ patients in an attempt to characterize the role of the nucleus in the disease process. With the ATL nucleus enrichment, we found 224 proteins present at different levels, and 76 of these were nuclear proteins. In the CC analysis, we identified 119 present at different levels, and 24 of these were nuclear proteins. The differentially expressed nuclear proteins of ATL are mainly associated with the spliceosome, whereas those of the CC region are associated with calcium/calmodulin signaling.

Two-Dimensional Gel Electrophoresis: A Reference Protocol.

Two-dimensional gel electrophoresis (2DE) has been a mainstay of proteomic techniques for more than four decades. It was even in use for several years before the term proteomics was actually coined in the early 1990s. Over this time, it has been used in the study of many diseases including cancer, diabetes, heart disease, and psychiatric disorders through the proteomic analysis of body fluids and tissues. This chapter presents a general protocol which can be applied in the study of biological samples such as blood serum or plasma and multiple tissues including the brain.

Selective Reaction Monitoring Mass Spectrometry for Quantitation of Glycolytic Enzymes in Postmortem Brain Samples.

Patients with psychiatric disorders exhibit dysfunctions in peripheral and central metabolism. This may be a root cause of impaired neuronal function, manifested as changes in mood, behavior, and cognitive capabilities in patients suffering with these conditions. Here we describe a selective reaction monitoring mass spectrometry (SRM-MS)-based targeted proteomic protocol for precise simultaneous quantitation of three glycolytic enzymes in postmortem brain tissue extracts. The SRM-MS approach has several advantages in terms of sensitivity, reproducibility, and reduced sample consumption, compared to traditional MS methods.

Derivation of Functional Human Astrocytes from Cerebral Organoids.

Astrocytes play a critical role in the development and homeostasis of the central nervous system (CNS). Astrocyte dysfunction results in several neurological and degenerative diseases. However, a major challenge to our understanding of astrocyte physiology and pathology is the restriction of studies to animal models, human post-mortem brain tissues, or samples obtained from invasive surgical procedures. Here, we report a protocol to generate human functional astrocytes from cerebral organoids derived from human pluripotent stem cells. The cellular isolation of cerebral organoids yielded cells that were morphologically and functionally like astrocytes. Immunolabelling and proteomic assays revealed that human organoid-derived astrocytes express the main astrocytic molecular markers, including glutamate transporters, specific enzymes and cytoskeletal proteins. We found that organoid-derived astrocytes strongly supported neuronal survival and neurite outgrowth and responded to ATP through transient calcium wave elevations, which are hallmarks of astrocyte physiology. Additionally, these astrocytes presented similar functional pathways to those isolated from adult human cortex by surgical procedures. This is the first study to provide proteomic and functional analyses of astrocytes isolated from human cerebral organoids. The isolation of these astrocytes holds great potential for the investigation of developmental and evolutionary features of the human brain and provides a useful approach to drug screening and neurodegenerative disease modelling.

Psychiatric disorders biochemical pathways unraveled by human brain proteomics.

Approximately 25 % of the world population is affected by a mental disorder at some point in their life. Yet, only in the mid-twentieth century a biological cause has been proposed for these diseases. Since then, several studies have been conducted toward a better comprehension of those disorders, and although a strong genetic influence was revealed, the role of these genes in disease mechanism is still unclear. This led most recent studies to focus on the molecular basis of mental disorders. One line of investigation that has risen in the post-genomic era is proteomics, due to its power of revealing proteins and biochemical pathways associated with biological systems. Therefore, this review compiled and analyzed data of differentially expressed proteins, which were found in postmortem brain studies of the three most prevalent psychiatric diseases: schizophrenia, bipolar disorder and major depressive disorders. Overviewing both the proteomic methods used in postmortem brain studies, the most consistent metabolic pathways found altered in these diseases. We have unraveled those disorders share about 21 % of proteins affected, and though most are related to energy metabolism pathways deregulation, the main differences found are 14-3-3-mediated signaling in schizophrenia, mitochondrial dysfunction in bipolar disorder and oxidative phosphorylation in depression.

Proteomics and molecular tools for unveiling missing links in the biochemical understanding of schizophrenia.

Psychiatric disorders are one of the biggest burdens to society, with significant personal and economical costs. Schizophrenia (SCZ), among them, is still poorly understood, and its molecular characterization is crucial to improve patients' diagnosis and treatment. The combination of genetic, biochemical, and environmental factors leads to systemic alterations, which are yet to be fully comprehended. Thus, understanding those missing links by connecting some molecular reports of SCZ is essential. From postmortem brain to animal models and cell culture, new tools are emerging, including recent advances in proteomics, and there is a need to apply them to solve these problems. Here, we review some of those features, mainly related to where proteomics could help, and discuss whether those new technologies could and should be applied to psychiatric disorder studies.

Differential proteome and phosphoproteome may impact cell signaling in the corpus callosum of schizophrenia patients.

Schizophrenia is a multifactorial disease in both clinical and molecular terms. Thus, depicting the molecular aspects of the disease will contribute to the understanding of its biochemical mechanisms and consequently may lead to the development of new treatment strategies. The protein phosphorylation/dephosphorylation switch acts as the main mechanism for regulating cellular signaling. Moreover, approximately onethird of human proteins are phosphorylable. Thus, identifying proteins differentially phosphorylated in schizophrenia postmortem brains may improve our understanding of the molecular basis of brain function in this disease. Hence, we quantified the phosphoproteome of corpus callosum samples collected post mortem from schizophrenia patients and healthy controls. We used state-of-the-art, bottom-up shotgun mass spectrometry in a two-dimensional liquid chromatography-tandem mass spectrometry setup in the MSE mode with label-free quantification. We identified 60,634 peptides, belonging to 3283 proteins. Of these, 68 proteins were differentially phosphorylated, and 56 were differentially expressed. These proteins are mostly involved in signaling pathways, such as ephrin B and ciliary neurotrophic factor signaling. The data presented here are novel because this was the very first phosphoproteome analysis of schizophrenia brains. They support the important role of glial cells, especially astrocytes, in schizophrenia and help to further the understanding of the molecular aspects of this disease. Our findings indicate a need for further studies on cell signaling, which might shape the development of treatment strategies.

Proteomics of the corpus callosum unravel pivotal players in the dysfunction of cell signaling, structure, and myelination in schizophrenia brains.

Schizophrenia is an incurable and debilitating mental disorder that may affect up to 1% of the world population. Morphological, electrophysiological, and neurophysiological studies suggest that the corpus callosum (CC), which is the largest portion of white matter in the human brain and responsible for inter-hemispheric communication, is altered in schizophrenia patients. Here, we employed mass spectrometry-based proteomics to investigate the molecular underpinnings of schizophrenia. Brain tissue samples were collected postmortem from nine schizophrenia patients and seven controls at the University of Heidelberg, Germany. Because the CC has a signaling role, we collected cytoplasmic (soluble) proteins and submitted them to nano-liquid chromatography-mass spectrometry (nano LC-MS/MS). Proteomes were quantified by label-free spectral counting. We identified 5678 unique peptides that corresponded to 1636 proteins belonging to 1512 protein families. Of those proteins, 65 differed significantly in expression: 28 were upregulated and 37 downregulated. Our data increased significantly the knowledge derived from an earlier proteomic study of the CC. Among the differentially expressed proteins are those associated with cell growth and maintenance, such as neurofilaments and tubulins; cell communication and signaling, such as 14-3-3 proteins; and oligodendrocyte function, such as myelin basic protein and myelin-oligodendrocyte glycoprotein. Additionally, 30 of the differentially expressed proteins were found previously in other proteomic studies in postmortem brains; this overlap in findings validates the present study and indicates that these proteins may be markers consistently associated with schizophrenia. Our findings increase the understanding of schizophrenia pathophysiology and may serve as a foundation for further treatment strategies.