1
|
Pan H, Wu Z, Liu W, Zhang G. AlphaFun: Structural-Alignment-Based Proteome Annotation Reveals why the Functionally Unknown Proteins (uPE1) Are So Understudied. J Proteome Res 2024; 23:1593-1602. [PMID: 38626392 PMCID: PMC11078154 DOI: 10.1021/acs.jproteome.3c00678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 03/27/2024] [Accepted: 04/03/2024] [Indexed: 04/18/2024]
Abstract
With the rapid expansion of sequencing of genomes, the functional annotation of proteins becomes a bottleneck in understanding proteomes. The Chromosome-centric Human Proteome Project (C-HPP) aims to identify all proteins encoded by the human genome and find functional annotations for them. However, until now there are still 1137 identified human proteins without functional annotation, called uPE1 proteins. Sequence alignment was insufficient to predict their functions, and the crystal structures of most proteins were unavailable. In this study, we demonstrated a new functional annotation strategy, AlphaFun, based on structural alignment using deep-learning-predicted protein structures. Using this strategy, we functionally annotated 99% of the human proteome, including the uPE1 proteins and missing proteins, which have not been identified yet. The accuracy of the functional annotations was validated using the known-function proteins. The uPE1 proteins shared similar functions to the known-function PE1 proteins and tend to express only in very limited tissues. They are evolutionally young genes and thus should conduct functions only in specific tissues and conditions, limiting their occurrence in commonly studied biological models. Such functional annotations provide hints for functional investigations on the uPE1 proteins. This proteome-wide-scale functional annotation strategy is also applicable to any other species.
Collapse
Affiliation(s)
- Hengxin Pan
- MOE Key Laboratory of Tumor
Molecular Biology and Key Laboratory of Functional Protein Research
of Guangdong Higher Education Institutes, Institute of Life and Health
Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Zhenqi Wu
- MOE Key Laboratory of Tumor
Molecular Biology and Key Laboratory of Functional Protein Research
of Guangdong Higher Education Institutes, Institute of Life and Health
Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Wanting Liu
- MOE Key Laboratory of Tumor
Molecular Biology and Key Laboratory of Functional Protein Research
of Guangdong Higher Education Institutes, Institute of Life and Health
Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Gong Zhang
- MOE Key Laboratory of Tumor
Molecular Biology and Key Laboratory of Functional Protein Research
of Guangdong Higher Education Institutes, Institute of Life and Health
Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| |
Collapse
|
2
|
Wang D, Chen Z, Li L. Profiling Human Cerebrospinal Fluid (CSF) Endogenous Peptidome in Alzheimer's Disease. Methods Mol Biol 2024; 2758:445-455. [PMID: 38549029 DOI: 10.1007/978-1-0716-3646-6_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Human cerebrospinal fluid (CSF) is a rich source for central nervous system (CNS)-related disease biomarker discovery due to its direct interchange with the extracellular fluid of the CNS. Though extensive proteome-level profiling has been conducted for CSF, studies targeting at its endogenous peptidome is still limited. It is more difficult to include the post-translational modifications (PTMs) characterization of the peptidome in the mass spectrometry (MS) analysis because of their low abundance and the challenge of data interpretation. In this chapter, we present a peptidomic workflow that combines molecular weight cut-off (MWCO) separation, electron-transfer and higher-energy collision dissociation (EThcD) fragmentation, and a three-step database searching strategy for comprehensive PTM analysis of endogenous peptides including both N-glycosylation and O-glycosylation and other common peptide PTMs. The method has been successfully adopted to analyze CSF samples from healthy donors, mild cognitive impairment (MCI), and Alzheimer's disease (AD) patients to provide a landscape of peptidome in different disease states.
Collapse
Affiliation(s)
- Danqing Wang
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Zhengwei Chen
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.
| |
Collapse
|
3
|
Kozioł A, Pupek M, Lewandowski Ł. Application of metabolomics in diagnostics and differentiation of meningitis: A narrative review with a critical approach to the literature. Biomed Pharmacother 2023; 168:115685. [PMID: 37837878 DOI: 10.1016/j.biopha.2023.115685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/28/2023] [Accepted: 10/08/2023] [Indexed: 10/16/2023] Open
Abstract
Due to its high mortality rate associated with various life-threatening sequelae, meningitis poses a vital problem in contemporary medicine. Numerous algorithms, many of which were derived with the aid of artificial intelligence, were brought up in a strive for perfection in predicting the status of sepsis-related survival or exacerbation. This review aims to provide key insights on the contextual utilization of metabolomics. The aim of this the metabolomic approach set of methods can be used to investigate both bacterial and host metabolite sets from both the host and its microbes in several types of specimens - even in one's breath, mainly with use of two methods - Mass Spectrometry (MS) and Nuclear Magnetic Resonance (NMR). Metabolomics, and has been used to elucidate the mechanisms underlying disease development and metabolic identification changes in a wide range of metabolite contents, leading to improved methods of diagnosis, treatment, and prognosis of meningitis. Mass spectrometry (MS) and Nuclear Magnetic Resonance (NMR) are the main analytical platforms used in metabolomics. Its high sensitivity accounts for the usefulness of metabolomics in studies into meningitis, its sequelae, and concomitant comorbidities. Metabolomics approaches are a double-edged sword, due to not only their flexibility, but also - high complexity, as even minor changes in the multi-step methods can have a massive impact on the results. Information on the differential diagnosis of meningitis act as a background in presenting the merits and drawbacks of the use of metabolomics in context of meningeal infections.
Collapse
Affiliation(s)
- Agata Kozioł
- Department of Immunochemistry and Chemistry, Wrocław Medical University, M. Skłodowskiej-Curie Street 48/50, 50-369 Wrocław, Poland
| | - Małgorzata Pupek
- Department of Immunochemistry and Chemistry, Wrocław Medical University, M. Skłodowskiej-Curie Street 48/50, 50-369 Wrocław, Poland.
| | - Łukasz Lewandowski
- Department of Medical Biochemistry, Wrocław Medical University, T. Chałubińskiego Street 10, 50-368 Wrocław, Poland
| |
Collapse
|
4
|
Waury K, de Wit R, Verberk IMW, Teunissen CE, Abeln S. Deciphering Protein Secretion from the Brain to Cerebrospinal Fluid for Biomarker Discovery. J Proteome Res 2023; 22:3068-3080. [PMID: 37606934 PMCID: PMC10476268 DOI: 10.1021/acs.jproteome.3c00366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Indexed: 08/23/2023]
Abstract
Cerebrospinal fluid (CSF) is an essential matrix for the discovery of neurological disease biomarkers. However, the high dynamic range of protein concentrations in CSF hinders the detection of the least abundant protein biomarkers by untargeted mass spectrometry. It is thus beneficial to gain a deeper understanding of the secretion processes within the brain. Here, we aim to explore if and how the secretion of brain proteins to the CSF can be predicted. By combining a curated CSF proteome and the brain elevated proteome of the Human Protein Atlas, brain proteins were classified as CSF or non-CSF secreted. A machine learning model was trained on a range of sequence-based features to differentiate between CSF and non-CSF groups and effectively predict the brain origin of proteins. The classification model achieves an area under the curve of 0.89 if using high confidence CSF proteins. The most important prediction features include the subcellular localization, signal peptides, and transmembrane regions. The classifier generalized well to the larger brain detected proteome and is able to correctly predict novel CSF proteins identified by affinity proteomics. In addition to elucidating the underlying mechanisms of protein secretion, the trained classification model can support biomarker candidate selection.
Collapse
Affiliation(s)
- Katharina Waury
- Department
of Computer Science, Vrije Universiteit
Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Renske de Wit
- Department
of Computer Science, Vrije Universiteit
Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Inge M. W. Verberk
- Neurochemistry
Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry
Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
| | - Sanne Abeln
- Department
of Computer Science, Vrije Universiteit
Amsterdam, 1081 HV Amsterdam, The Netherlands
| |
Collapse
|
5
|
Downs M, Zaia J, Sethi MK. Mass spectrometry methods for analysis of extracellular matrix components in neurological diseases. MASS SPECTROMETRY REVIEWS 2023; 42:1848-1875. [PMID: 35719114 PMCID: PMC9763553 DOI: 10.1002/mas.21792] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/12/2022] [Accepted: 05/24/2022] [Indexed: 06/15/2023]
Abstract
The brain extracellular matrix (ECM) is a highly glycosylated environment and plays important roles in many processes including cell communication, growth factor binding, and scaffolding. The formation of structures such as perineuronal nets (PNNs) is critical in neuroprotection and neural plasticity, and the formation of molecular networks is dependent in part on glycans. The ECM is also implicated in the neuropathophysiology of disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), and Schizophrenia (SZ). As such, it is of interest to understand both the proteomic and glycomic makeup of healthy and diseased brain ECM. Further, there is a growing need for site-specific glycoproteomic information. Over the past decade, sample preparation, mass spectrometry, and bioinformatic methods have been developed and refined to provide comprehensive information about the glycoproteome. Core ECM molecules including versican, hyaluronan and proteoglycan link proteins, and tenascin are dysregulated in AD, PD, and SZ. Glycomic changes such as differential sialylation, sulfation, and branching are also associated with neurodegeneration. A more thorough understanding of the ECM and its proteomic, glycomic, and glycoproteomic changes in brain diseases may provide pathways to new therapeutic options.
Collapse
Affiliation(s)
- Margaret Downs
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, Boston, Massachusetts, USA
| | - Joseph Zaia
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, Boston, Massachusetts, USA
- Bioinformatics Program, Boston University, Boston, Massachusetts, USA
| | - Manveen K Sethi
- Department of Biochemistry, Center for Biomedical Mass Spectrometry, Boston University, Boston, Massachusetts, USA
| |
Collapse
|
6
|
Rakotomamonjy J, Rylaarsdam L, Fares-Taie L, McDermott S, Davies D, Yang G, Fagbemi F, Epstein M, Fairbanks-Santana M, Rozet JM, Guemez-Gamboa A. PCDH12 loss results in premature neuronal differentiation and impeded migration in a cortical organoid model. Cell Rep 2023; 42:112845. [PMID: 37480564 PMCID: PMC10521973 DOI: 10.1016/j.celrep.2023.112845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/15/2023] [Accepted: 07/06/2023] [Indexed: 07/24/2023] Open
Abstract
Protocadherins (PCDHs) are cell adhesion molecules that regulate many essential neurodevelopmental processes related to neuronal maturation, dendritic arbor formation, axon pathfinding, and synaptic plasticity. Biallelic loss-of-function variants in PCDH12 are associated with several neurodevelopmental disorders (NDDs). Despite the highly deleterious outcome resulting from loss of PCDH12, little is known about its role during brain development and disease. Here, we show that PCDH12 loss severely impairs cerebral organoid development, with reduced proliferative areas and disrupted laminar organization. 2D models further show that neural progenitor cells lacking PCDH12 prematurely exit the cell cycle and differentiate earlier when compared with wild type. Furthermore, we show that PCDH12 regulates neuronal migration and suggest that this could be through a mechanism requiring ADAM10-mediated ectodomain shedding and/or membrane recruitment of cytoskeleton regulators. Our results demonstrate a critical involvement of PCDH12 in cortical organoid development, suggesting a potential cause for the pathogenic mechanisms underlying PCDH12-related NDDs.
Collapse
Affiliation(s)
- Jennifer Rakotomamonjy
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Lauren Rylaarsdam
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Lucas Fares-Taie
- Laboratory of Genetics in Ophthalmology (LGO), INSERM UMR1163, Institute of Genetic Diseases, Imagine and Paris Descartes University, 75015 Paris, France
| | - Sean McDermott
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Devin Davies
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - George Yang
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Fikayo Fagbemi
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Maya Epstein
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Martín Fairbanks-Santana
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Jean-Michel Rozet
- Laboratory of Genetics in Ophthalmology (LGO), INSERM UMR1163, Institute of Genetic Diseases, Imagine and Paris Descartes University, 75015 Paris, France
| | - Alicia Guemez-Gamboa
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
| |
Collapse
|
7
|
Dai L, Gao F, Wang Q, Lv X, Cheng Z, Wu Y, Chai X, Zetterberg H, Blennow K, Levey AI, Shi J, Shen Y. Molecules of senescent glial cells differentiate Alzheimer's disease from ageing. J Neurol Neurosurg Psychiatry 2023:jnnp-2022-330743. [PMID: 37012067 DOI: 10.1136/jnnp-2022-330743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 02/28/2023] [Indexed: 04/05/2023]
Abstract
BACKGROUND Ageing is a major risk factor for Alzheimer's disease (AD), which is accompanied by cellular senescence and thousands of transcriptional changes in the brain. OBJECTIVES To identify the biomarkers in the cerebrospinal fluid (CSF) that could help differentiate healthy ageing from neurodegenerative processes. METHODS Cellular senescence and ageing-related biomarkers were assessed in primary astrocytes and postmortem brains by immunoblotting and immunohistochemistry. The biomarkers were measured in CSF samples from the China Ageing and Neurodegenerative Disorder Initiative cohort using Elisa and the multiplex Luminex platform. RESULTS The cyclin-dependent kinase inhibitors p16/p21-positive senescent cells in human postmortem brains were predominantly astrocytes and oligodendrocyte lineage cells, which accumulated in AD brains. CCL2, YKL-40, HGF, MIF, S100B, TSP2, LCN2 and serpinA3 are biomarkers closely related to human glial senescence. Moreover, we discovered that most of these molecules, which were upregulated in senescent glial cells, were significantly elevated in the AD brain. Notably, CSF YKL-40 (β=0.5412, p<0.0001) levels were markedly elevated with age in healthy older individuals, whereas HGF (β=0.2732, p=0.0001), MIF (β=0.33714, p=0.0017) and TSP2 (β=0.1996, p=0.0297) levels were more susceptible to age in older individuals with AD pathology. We revealed that YKL-40, TSP2 and serpinA3 were useful biomarkers for discriminating patients with AD from CN individuals and non-AD patients. DISCUSSION Our findings demonstrated the different patterns of CSF biomarkers related to senescent glial cells between normal ageing and AD, implicating these biomarkers could identify the road node in healthy path off to neurodegeneration and improve the accuracy of clinical AD diagnosis, which would help promote healthy ageing.
Collapse
Affiliation(s)
- Linbin Dai
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Neurodegenerative Disorder Research Center, School of Life Sciences, Division of Life Sciences and Medicine, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, People's Republic of China
| | - Feng Gao
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Qiong Wang
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Xinyi Lv
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Zhaozhao Cheng
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Yan Wu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Xianliang Chai
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease,UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, People's Republic of China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Allan I Levey
- Department of Neurology, Goizueta Alzheimer's Disease Research Center, Emory University, Atlanta, Georgia, USA
| | - Jiong Shi
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yong Shen
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
- Neurodegenerative Disorder Research Center, School of Life Sciences, Division of Life Sciences and Medicine, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, People's Republic of China
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology, Hefei, Anhui, China
- Centre for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| |
Collapse
|
8
|
Mun DG, Budhraja R, Bhat FA, Zenka RM, Johnson KL, Moghekar A, Pandey A. Four-dimensional proteomics analysis of human cerebrospinal fluid with trapped ion mobility spectrometry using PASEF. Proteomics 2023; 23:e2200507. [PMID: 36752121 DOI: 10.1002/pmic.202200507] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/02/2023] [Accepted: 02/03/2023] [Indexed: 02/09/2023]
Abstract
A quadrupole time-of-flight mass spectrometer coupled with a trapped ion mobility spectrometry (timsTOF) operated in parallel accumulation-serial fragmentation (PASEF) mode has recently emerged as a platform capable of providing four-dimensional (4D) features comprising of elution time, collision cross section (CCS), mass-to-charge ratio, and intensity of peptides. The PASEF mode provides ∼100% ion sampling efficiency both in data-dependent acquisition (DDA) and data-independent acquisition (DIA) modes without sacrificing sensitivity. In addition, targeted measurements using PASEF integrated parallel reaction monitoring (PRM) mode have also been described. However, only limited number of studies have used timsTOF for analysis of clinical samples. Although Orbitrap mass spectrometers have been used for biomarker discovery from cerebrospinal fluid (CSF) in a variety of neurological diseases, these Orbitrap-derived datasets cannot readily be applied for driving experiments on timsTOF mass spectrometers. We generated a catalog of peptides and proteins in human CSF in DDA mode on a timsTOF mass spectrometer and used these data to build a spectral library. This strategy allowed us to use elution times and ion mobility values from the spectral library to design PRM experiments for quantifying previously discovered biomarkers from CSF samples in Alzheimer's disease. When the same samples were analyzed using a DIA approach combined with a spectral library search, a higher number of proteins were identified than in a library-free approach. Overall, we have established a spectral library of CSF as a resource and demonstrated its utility for PRM and DIA studies, which should facilitate studies of neurological disorders.
Collapse
Affiliation(s)
- Dong-Gi Mun
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Rohit Budhraja
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Firdous A Bhat
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Roman M Zenka
- Proteomics Core, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Akhilesh Pandey
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.,Manipal Academy of Higher Education, Manipal, Karnataka, India.,Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, USA
| |
Collapse
|
9
|
Rakotomamonjy J, Rylaarsdam L, Fares-Taie L, McDermott S, Davies D, Yang G, Fagbemi F, Epstein M, Guemez-Gamboa A. Impaired migration and premature differentiation underlie the neurological phenotype associated with PCDH12 loss of function. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.05.522934. [PMID: 36711630 PMCID: PMC9881913 DOI: 10.1101/2023.01.05.522934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Protocadherins (PCDHs) are cell adhesion molecules that regulate many essential neurodevelopmental processes related to neuronal maturation, dendritic arbor formation, axon pathfinding, and synaptic plasticity. Bi-allelic loss-of-function variants in PCDH12 are associated with several neurodevelopmental disorders (NDDs) such as diencephalic-mesencephalic dysplasia syndrome, cerebral palsy, cerebellar ataxia, and microcephaly. Despite the highly deleterious outcome resulting from loss of PCDH12, little is known about its role during brain development and disease. Here, we show that PCDH12 loss severely impairs cerebral organoid development with reduced proliferative areas and disrupted laminar organization. 2D models further show that neural progenitor cells lacking PCDH12 prematurely exit cell cycle and differentiate earlier when compared to wildtype. Furthermore, we show that PCDH12 regulates neuronal migration through a mechanism requiring ADAM10-mediated ectodomain shedding and membrane recruitment of cytoskeleton regulators. Our data demonstrate a critical and broad involvement of PCDH12 in cortical development, revealing the pathogenic mechanisms underlying PCDH12-related NDDs.
Collapse
|
10
|
Ayoub I, Dauvilliers Y, Barateau L, Vermeulen T, Mouton-Barbosa E, Marcellin M, Gonzalez-de-Peredo A, Gross CC, Saoudi A, Liblau R. Cerebrospinal fluid proteomics in recent-onset Narcolepsy type 1 reveals activation of the complement system. Front Immunol 2023; 14:1108682. [PMID: 37122721 PMCID: PMC10130643 DOI: 10.3389/fimmu.2023.1108682] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 03/20/2023] [Indexed: 05/02/2023] Open
Abstract
Introduction Narcolepsy type 1 (NT1) is a rare, chronic and disabling neurological disease causing excessive daytime sleepiness and cataplexy. NT1 is characterized pathologically by an almost complete loss of neurons producing the orexin neuropeptides in the lateral hypothalamus. Genetic and environmental factors strongly suggest the involvement of the immune system in the loss of orexin neurons. The cerebrospinal fluid (CSF), secreted locally and surrounding the central nervous system (CNS), represents an accessible window into CNS pathological processes. Methods To gain insight into the biological and molecular changes in NT1 patients, we performed a comparative proteomics analysis of the CSF from 21 recent-onset NT1 patients and from two control groups: group 1 with somatoform disorders, and group 2 patients with hypersomnia other than NT1, to control for any potential effect of sleep disturbances on CSF composition. To achieve an optimal proteomic coverage analysis, the twelve most abundant CSF proteins were depleted, and samples were analyzed by nano-flow liquid chromatography tandem mass spectrometry (nano-LC-MS/MS) using the latest generation of hybrid Orbitrap mass spectrometer. Results and discussion Our study allowed the identification and quantification of up to 1943 proteins, providing a remarkably deep analysis of the CSF proteome. Interestingly, gene set enrichment analysis indicated that the complement and coagulation systems were enriched and significantly activated in NT1 patients in both cohorts analyzed. Notably, the lectin and alternative complement pathway as well as the downstream lytic membrane attack complex were congruently increased in NT1. Our data suggest that the complement dysregulation in NT1 patients can contribute to immunopathology either by directly promoting tissue damage or as part of local inflammatory responses. We therefore reveal an altered composition of the CSF proteome in NT1 patients, which points to an ongoing inflammatory process contributed, at least in part, by the complement system.
Collapse
Affiliation(s)
- Ikram Ayoub
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), University of Toulouse, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et De la Recherche Médicale (INSERM), Université Toulouse III - Paul Sabatier (UPS), Toulouse, France
| | - Yves Dauvilliers
- National Reference Center for Orphan Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, Department of Neurology, Gui-de-Chauliac Hospital, Centre Hospitalier Universitaire (CHU) de Montpellier, and Institute for Neurosciences of Montpellier, Montpellier, France
| | - Lucie Barateau
- National Reference Center for Orphan Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, Department of Neurology, Gui-de-Chauliac Hospital, Centre Hospitalier Universitaire (CHU) de Montpellier, and Institute for Neurosciences of Montpellier, Montpellier, France
| | - Thaïs Vermeulen
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), University of Toulouse, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et De la Recherche Médicale (INSERM), Université Toulouse III - Paul Sabatier (UPS), Toulouse, France
| | - Emmanuelle Mouton-Barbosa
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Toulouse III - Paul Sabatier (UPS), Toulouse, France
| | - Marlène Marcellin
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Toulouse III - Paul Sabatier (UPS), Toulouse, France
| | - Anne Gonzalez-de-Peredo
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, Centre National de la Recherche Scientifique (CNRS), Université Toulouse III - Paul Sabatier (UPS), Toulouse, France
| | - Catharina C. Gross
- Department of Neurology with Institute of Translational Neurology, University and University Hospital Münster, Münster, Germany
| | - Abdelhadi Saoudi
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), University of Toulouse, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et De la Recherche Médicale (INSERM), Université Toulouse III - Paul Sabatier (UPS), Toulouse, France
| | - Roland Liblau
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), University of Toulouse, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et De la Recherche Médicale (INSERM), Université Toulouse III - Paul Sabatier (UPS), Toulouse, France
- Department of Immunology, Toulouse University Hospitals, Toulouse, France
- *Correspondence: Roland Liblau,
| |
Collapse
|
11
|
Charpignon ML, Vakulenko-Lagun B, Zheng B, Magdamo C, Su B, Evans K, Rodriguez S, Sokolov A, Boswell S, Sheu YH, Somai M, Middleton L, Hyman BT, Betensky RA, Finkelstein SN, Welsch RE, Tzoulaki I, Blacker D, Das S, Albers MW. Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nat Commun 2022; 13:7652. [PMID: 36496454 PMCID: PMC9741618 DOI: 10.1038/s41467-022-35157-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 11/21/2022] [Indexed: 12/13/2022] Open
Abstract
Metformin, a diabetes drug with anti-aging cellular responses, has complex actions that may alter dementia onset. Mixed results are emerging from prior observational studies. To address this complexity, we deploy a causal inference approach accounting for the competing risk of death in emulated clinical trials using two distinct electronic health record systems. In intention-to-treat analyses, metformin use associates with lower hazard of all-cause mortality and lower cause-specific hazard of dementia onset, after accounting for prolonged survival, relative to sulfonylureas. In parallel systems pharmacology studies, the expression of two AD-related proteins, APOE and SPP1, was suppressed by pharmacologic concentrations of metformin in differentiated human neural cells, relative to a sulfonylurea. Together, our findings suggest that metformin might reduce the risk of dementia in diabetes patients through mechanisms beyond glycemic control, and that SPP1 is a candidate biomarker for metformin's action in the brain.
Collapse
Affiliation(s)
- Marie-Laure Charpignon
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Bang Zheng
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
| | - Colin Magdamo
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Bowen Su
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Kyle Evans
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
| | - Steve Rodriguez
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
| | - Artem Sokolov
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
| | - Sarah Boswell
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA
| | - Yi-Han Sheu
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Melek Somai
- Inception Labs, Collaborative for Health Delivery Sciences, Medical College of Wisconsin, Wauwatosa, WI, USA
| | - Lefkos Middleton
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
- Public Health Directorate, Imperial College London NHS Healthcare Trust, London, UK
| | - Bradley T Hyman
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Rebecca A Betensky
- Department of Biostatistics, School of Global Public Health, New York University, New York, NY, USA
| | - Stan N Finkelstein
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
- Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Roy E Welsch
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA
- Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
- Dementia Research Institute, Imperial College London, London, UK.
- Department of Hygiene and Epidemiology, University of Ioannina, Ioannina, Greece.
| | - Deborah Blacker
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Sudeshna Das
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
| | - Mark W Albers
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
- Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
12
|
Shultz SR, Shah AD, Huang C, Dill LK, Schittenhelm RB, Morganti-Kossmann MC, Semple BD. Temporal proteomics of human cerebrospinal fluid after severe traumatic brain injury. J Neuroinflammation 2022; 19:291. [PMID: 36482407 PMCID: PMC9730674 DOI: 10.1186/s12974-022-02654-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 11/21/2022] [Indexed: 12/13/2022] Open
Abstract
The pathophysiology of traumatic brain injury (TBI) requires further characterization to fully elucidate changes in molecular pathways. Cerebrospinal fluid (CSF) provides a rich repository of brain-associated proteins. In this retrospective observational study, we implemented high-resolution mass spectrometry to evaluate changes to the CSF proteome after severe TBI. 91 CSF samples were analyzed with mass spectrometry, collected from 16 patients with severe TBI (mean 32 yrs; 81% male) on day 0, 1, 2, 4, 7 and/or 10 post-injury (8-16 samples/timepoint) and compared to CSF obtained from 11 non-injured controls. We quantified 1152 proteins with mass spectrometry, of which approximately 80% were associated with CSF. 1083 proteins were differentially regulated after TBI compared to control samples. The most highly-upregulated proteins at each timepoint included neutrophil elastase, myeloperoxidase, cathepsin G, matrix metalloproteinase-8, and S100 calcium-binding proteins A8, A9 and A12-all proteins involved in neutrophil activation, recruitment, and degranulation. Pathway enrichment analysis confirmed the robust upregulation of proteins associated with innate immune responses. Conversely, downregulated pathways included those involved in nervous system development, and several proteins not previously identified after TBI such as testican-1 and latrophilin-1. We also identified 7 proteins (GM2A, Calsyntenin 1, FAT2, GANAB, Lumican, NPTX1, SFRP2) positively associated with an unfavorable outcome at 6 months post-injury. Together, these findings highlight the robust innate immune response that occurs after severe TBI, supporting future studies to target neutrophil-related processes. In addition, the novel proteins we identified to be differentially regulated by severe TBI warrant further investigation as potential biomarkers of brain damage or therapeutic targets.
Collapse
Affiliation(s)
- Sandy R. Shultz
- grid.1002.30000 0004 1936 7857Department of Neuroscience, Monash University, Melbourne, VIC Australia ,grid.267362.40000 0004 0432 5259Alfred Health, Prahran, VIC Australia ,grid.1008.90000 0001 2179 088XDepartment of Medicine (Royal Melbourne Hospital), The University of Melbourne, Parkville, VIC Australia ,grid.267756.70000 0001 2183 6550Health and Human Services, Vancouver Island University, Nanaimo, Canada
| | - Anup D. Shah
- grid.1002.30000 0004 1936 7857Monash Proteomics and Metabolomics Facility, Monash University, Clayton, VIC Australia ,grid.1002.30000 0004 1936 7857Monash Bioinformatics Platform, Monash University, Clayton, VIC Australia
| | - Cheng Huang
- grid.1002.30000 0004 1936 7857Monash Proteomics and Metabolomics Facility, Monash University, Clayton, VIC Australia
| | - Larissa K. Dill
- grid.1002.30000 0004 1936 7857Department of Neuroscience, Monash University, Melbourne, VIC Australia ,grid.267362.40000 0004 0432 5259Alfred Health, Prahran, VIC Australia ,grid.482226.80000 0004 0437 5686The Perron Institute for Neurological and Translational Science, Nedlands, WA 6009 Australia
| | - Ralf B. Schittenhelm
- grid.1002.30000 0004 1936 7857Monash Proteomics and Metabolomics Facility, Monash University, Clayton, VIC Australia
| | - M. Cristina Morganti-Kossmann
- grid.1002.30000 0004 1936 7857Department of Epidemiology & Preventive Medicine, Monash University, Prahran, VIC Australia ,grid.427785.b0000 0001 0664 3531Department of Child Health, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ USA ,grid.134563.60000 0001 2168 186XUniversity of Arizona College of Medicine, Phoenix, AZ USA
| | - Bridgette D. Semple
- grid.1002.30000 0004 1936 7857Department of Neuroscience, Monash University, Melbourne, VIC Australia ,grid.267362.40000 0004 0432 5259Alfred Health, Prahran, VIC Australia ,grid.1008.90000 0001 2179 088XDepartment of Medicine (Royal Melbourne Hospital), The University of Melbourne, Parkville, VIC Australia
| |
Collapse
|
13
|
Mackmull MT, Nagel L, Sesterhenn F, Muntel J, Grossbach J, Stalder P, Bruderer R, Reiter L, van de Berg WDJ, de Souza N, Beyer A, Picotti P. Global, in situ analysis of the structural proteome in individuals with Parkinson's disease to identify a new class of biomarker. Nat Struct Mol Biol 2022; 29:978-989. [PMID: 36224378 DOI: 10.1038/s41594-022-00837-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/18/2022] [Indexed: 12/23/2022]
Abstract
Parkinson's disease (PD) is a prevalent neurodegenerative disease for which robust biomarkers are needed. Because protein structure reflects function, we tested whether global, in situ analysis of protein structural changes provides insight into PD pathophysiology and could inform a new concept of structural disease biomarkers. Using limited proteolysis-mass spectrometry (LiP-MS), we identified 76 structurally altered proteins in cerebrospinal fluid (CSF) of individuals with PD relative to healthy donors. These proteins were enriched in processes misregulated in PD, and some proteins also showed structural changes in PD brain samples. CSF protein structural information outperformed abundance information in discriminating between healthy participants and those with PD and improved the discriminatory performance of CSF measures of the hallmark PD protein α-synuclein. We also present the first analysis of inter-individual variability of a structural proteome in healthy individuals, identifying biophysical features of variable protein regions. Although independent validation is needed, our data suggest that global analyses of the human structural proteome will guide the development of novel structural biomarkers of disease and enable hypothesis generation about underlying disease processes.
Collapse
Affiliation(s)
- Marie-Therese Mackmull
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
| | - Luise Nagel
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Fabian Sesterhenn
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
| | | | - Jan Grossbach
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Patrick Stalder
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
| | | | | | - Wilma D J van de Berg
- Amsterdam UMC location Vrije Universiteit Amsterdam, Section Clinical Neuroanatomy and Biobanking, Department Anatomy and Neurosciences, Amsterdam, the Netherlands.,Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Natalie de Souza
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.,Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Andreas Beyer
- Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany. .,Faculty of Medicine and University Hospital of Cologne, and Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany. .,Institute for Genetics, Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, Germany.
| | - Paola Picotti
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.
| |
Collapse
|
14
|
Liu Y, Wang C, Zhang C, Chen R, Liu B, Zhang K. Nonenzymatic Multiamplified Electrochemical Detection of Medulloblastoma-Relevant MicroRNAs from Cerebrospinal Fluid. ACS Sens 2022; 7:2320-2327. [PMID: 35925869 DOI: 10.1021/acssensors.2c00956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The sensitive analysis of microRNAs (miRNAs) in cerebrospinal fluid (CSF) holds promise for the minimally invasive early diagnosis of brain cancers such as pediatric medulloblastoma but remains challenging due partially to a lack of facile yet sensitive sensing methods. Herein, an enzyme-free triple-signal amplification electrochemical assay for miRNA was developed by integrating the target-triggered cyclic strand-displacement reaction (TCSDR), hybridization chain reaction (HCR), and methylene blue (MB) intercalation. In this assay, the presence of target miRNA (miR-9) initiated the TCSDR and produced primers that triggered the subsequent HCR amplification to generate copious double-stranded DNAs (dsDNAs) on the electrode surface. Intercalation of a large number of MB reporters into the long nicked double helixes of dsDNAs yielded a more enhanced signal of differential pulse voltammetry. The enzyme-free multiple-amplification approach allowed for highly sensitive (detection limit: 6.5 fM) and sequence-specific (single-base mismatch resolution) detection of miR-9 from tumor cells and human CSF with minimal sample consumption (10 μL). Moreover, the clinical utilization of this method was documented by accurate discrimination of five medulloblastoma patients from the nontumoral controls. In light of its sensitivity, specificity, and convenience of use, this electrochemical method was expected to facilitate the early detection of malignant brain tumors.
Collapse
Affiliation(s)
- Yujie Liu
- Shanghai Institute of Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Chen Wang
- Department of Pediatric Neurosurgery, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Chenran Zhang
- Department of Pediatric Neurosurgery, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Ruoping Chen
- Department of Pediatric Neurosurgery, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Baohong Liu
- Department of Chemistry, Shanghai Stomatological Hospital, State Key Lab of Molecular Engineering of Polymers, Institutes of Biomedical Sciences Fudan University, Shanghai 200438, China
| | - Kun Zhang
- Shanghai Institute of Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| |
Collapse
|
15
|
Lilley LM, Sanche S, Moore SC, Salemi MR, Vu D, Iyer S, Hengartner NW, Mukundan H. Methods to capture proteomic and metabolomic signatures from cerebrospinal fluid and serum of healthy individuals. Sci Rep 2022; 12:13339. [PMID: 35922450 PMCID: PMC9349260 DOI: 10.1038/s41598-022-16598-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 05/17/2022] [Indexed: 11/20/2022] Open
Abstract
Discovery of reliable signatures for the empirical diagnosis of neurological diseases-both infectious and non-infectious-remains unrealized. One of the primary challenges encountered in such studies is the lack of a comprehensive database representative of a signature background that exists in healthy individuals, and against which an aberrant event can be assessed. For neurological insults and injuries, it is important to understand the normal profile in the neuronal (cerebrospinal fluid) and systemic fluids (e.g., blood). Here, we present the first comparative multi-omic human database of signatures derived from a population of 30 individuals (15 males, 15 females, 23-74 years) of serum and cerebrospinal fluid. In addition to empirical signatures, we also assigned common pathways between serum and CSF. Together, our findings provide a cohort against which aberrant signature profiles in individuals with neurological injuries/disease can be assessed-providing a pathway for comprehensive diagnostics and therapeutics discovery.
Collapse
Affiliation(s)
- Laura M Lilley
- Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM, 87545, USA
| | - Steven Sanche
- Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM, 87545, USA
| | - Shepard C Moore
- Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM, 87545, USA
| | - Michelle R Salemi
- Genome Center, Proteomics Core Facility, University of California, Davis, CA, 95616, USA
| | - Dung Vu
- Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM, 87545, USA
| | - Srinivas Iyer
- Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM, 87545, USA
| | | | - Harshini Mukundan
- Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM, 87545, USA.
| |
Collapse
|
16
|
Dayon L, Cominetti O, Affolter M. Proteomics of Human Biological Fluids for Biomarker Discoveries: Technical Advances and Recent Applications. Expert Rev Proteomics 2022; 19:131-151. [PMID: 35466824 DOI: 10.1080/14789450.2022.2070477] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Biological fluids are routine samples for diagnostic testing and monitoring. Blood samples are typically measured because of their moderate collection invasiveness and high information content on health and disease. Several body fluids, such as cerebrospinal fluid (CSF), are also studied and suited to specific pathologies. Over the last two decades proteomics has quested to identify protein biomarkers but with limited success. Recent technologies and refined pipelines have accelerated the profiling of human biological fluids. AREAS COVERED We review proteomic technologies for the identification of biomarkers. Those are based on antibodies/aptamers arrays or mass spectrometry (MS), but new ones are emerging. Advances in scalability and throughput have allowed to better design studies and cope with the limited sample size that had until now prevailed due to technological constraints. With these enablers, plasma/serum, CSF, saliva, tears, urine, and milk proteomes have been further profiled; we provide a non-exhaustive picture of some recent highlights (mainly covering literature from last five years in the Scopus database) using MS-based proteomics. EXPERT OPINION While proteomics has been in the shadow of genomics for years, proteomic tools and methodologies have reached a certain maturity. They are better suited to discover innovative and robust biofluid biomarkers.
Collapse
Affiliation(s)
- Loïc Dayon
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, CH-1015 Lausanne, Switzerland.,Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
| | - Ornella Cominetti
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, CH-1015 Lausanne, Switzerland
| | - Michael Affolter
- Proteomics, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, CH-1015 Lausanne, Switzerland
| |
Collapse
|
17
|
Martín-de-Saavedra MD, Dos Santos M, Culotta L, Varea O, Spielman BP, Parnell E, Forrest MP, Gao R, Yoon S, McCoig E, Jalloul HA, Myczek K, Khalatyan N, Hall EA, Turk LS, Sanz-Clemente A, Comoletti D, Lichtenthaler SF, Burgdorf JS, Barbolina MV, Savas JN, Penzes P. Shed CNTNAP2 ectodomain is detectable in CSF and regulates Ca 2+ homeostasis and network synchrony via PMCA2/ATP2B2. Neuron 2022; 110:627-643.e9. [PMID: 34921780 PMCID: PMC8857041 DOI: 10.1016/j.neuron.2021.11.025] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/11/2021] [Accepted: 11/19/2021] [Indexed: 11/29/2022]
Abstract
Although many neuronal membrane proteins undergo proteolytic cleavage, little is known about the biological significance of neuronal ectodomain shedding (ES). Here, we show that the neuronal sheddome is detectable in human cerebrospinal fluid (hCSF) and is enriched in neurodevelopmental disorder (NDD) risk factors. Among shed synaptic proteins is the ectodomain of CNTNAP2 (CNTNAP2-ecto), a prominent NDD risk factor. CNTNAP2 undergoes activity-dependent ES via MMP9 (matrix metalloprotease 9), and CNTNAP2-ecto levels are reduced in the hCSF of individuals with autism spectrum disorder. Using mass spectrometry, we identified the plasma membrane Ca2+ ATPase (PMCA) extrusion pumps as novel CNTNAP2-ecto binding partners. CNTNAP2-ecto enhances the activity of PMCA2 and regulates neuronal network dynamics in a PMCA2-dependent manner. Our data underscore the promise of sheddome analysis in discovering neurobiological mechanisms, provide insight into the biology of ES and its relationship with the CSF, and reveal a mechanism of regulation of Ca2+ homeostasis and neuronal network synchrony by a shed ectodomain.
Collapse
Affiliation(s)
| | - Marc Dos Santos
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lorenza Culotta
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Olga Varea
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Benjamin P Spielman
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Euan Parnell
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Marc P Forrest
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Ruoqi Gao
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Sehyoun Yoon
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Emmarose McCoig
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Hiba A Jalloul
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Kristoffer Myczek
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Natalia Khalatyan
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Elizabeth A Hall
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Liam S Turk
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA; Department of Neuroscience and Cell Biology, Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Antonio Sanz-Clemente
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Davide Comoletti
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA; Department of Neuroscience and Cell Biology, Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey, New Brunswick, NJ 08901, USA; Department of Pediatrics, Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey, New Brunswick, NJ 08901, USA; School of Biological Sciences, Victoria University of Wellington, Wellington 6140, New Zealand
| | - Stefan F Lichtenthaler
- German Center for Neurodegenerative Diseases (DZNE), 81377 Munich, Germany; Department of Neuroproteomics, School of Medicine, Klinikum rechts der Isar, and Institute for Advanced Study, Technical University of Munich, 81675 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), 81377 Munich, Germany
| | - Jeffrey S Burgdorf
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Autism and Neurodevelopment, Northwestern University, Chicago, IL 60611, USA; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Maria V Barbolina
- Department of Biopharmaceutical Sciences, University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Jeffrey N Savas
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Peter Penzes
- Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Center for Autism and Neurodevelopment, Northwestern University, Chicago, IL 60611, USA; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
| |
Collapse
|
18
|
Liu K, Salvati A, Sabirsh A. Physiology, pathology and the biomolecular corona: the confounding factors in nanomedicine design. NANOSCALE 2022; 14:2136-2154. [PMID: 35103268 DOI: 10.1039/d1nr08101b] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The biomolecular corona that forms on nanomedicines in different physiological and pathological environments confers a new biological identity. How the recipient biological system's state can potentially affect nanomedicine corona formation, and how this can be modulated, remains obscure. With this perspective, this review summarizes the current knowledge about the content of biological fluids in various compartments and how they can be affected by pathological states, thus impacting biomolecular corona formation. The content of representative biological fluids is explored, and the urgency of integrating corona formation, as an essential component of nanomedicine designs for effective cargo delivery, is highlighted.
Collapse
Affiliation(s)
- Kai Liu
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D, AstraZeneca, Gothenburg, Sweden.
| | - Anna Salvati
- Department of Nanomedicine & Drug Targeting, Groningen Research Institute of Pharmacy, University of Groningen, Groningen 9713AV, The Netherlands
| | - Alan Sabirsh
- Advanced Drug Delivery, Pharmaceutical Sciences, R&D, AstraZeneca, Gothenburg, Sweden.
| |
Collapse
|
19
|
Salazar IL, Lourenço AST, Manadas B, Baldeiras I, Ferreira C, Teixeira AC, Mendes VM, Novo AM, Machado R, Batista S, Macário MDC, Grãos M, Sousa L, Saraiva MJ, Pais AACC, Duarte CB. Posttranslational modifications of proteins are key features in the identification of CSF biomarkers of multiple sclerosis. J Neuroinflammation 2022; 19:44. [PMID: 35135578 PMCID: PMC8822857 DOI: 10.1186/s12974-022-02404-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 01/26/2022] [Indexed: 12/27/2022] Open
Abstract
Background Multiple sclerosis is an inflammatory and degenerative disease of the central nervous system (CNS) characterized by demyelination and concomitant axonal loss. The lack of a single specific test, and the similarity to other inflammatory diseases of the central nervous system, makes it difficult to have a clear diagnosis of multiple sclerosis. Therefore, laboratory tests that allows a clear and definite diagnosis, as well as to predict the different clinical courses of the disease are of utmost importance. Herein, we compared the cerebrospinal fluid (CSF) proteome of patients with multiple sclerosis (in the relapse–remitting phase of the disease) and other diseases of the CNS (inflammatory and non-inflammatory) aiming at identifying reliable biomarkers of multiple sclerosis. Methods CSF samples from the discovery group were resolved by 2D-gel electrophoresis followed by identification of the protein spots by mass spectrometry. The results were analyzed using univariate (Student’s t test) and multivariate (Hierarchical Cluster Analysis, Principal Component Analysis, Linear Discriminant Analysis) statistical and numerical techniques, to identify a set of protein spots that were differentially expressed in CSF samples from patients with multiple sclerosis when compared with other two groups. Validation of the results was performed in samples from a different set of patients using quantitative (e.g., ELISA) and semi-quantitative (e.g., Western Blot) experimental approaches. Results Analysis of the 2D-gels showed 13 protein spots that were differentially expressed in the three groups of patients: Alpha-1-antichymotrypsin, Prostaglandin-H2-isomerase, Retinol binding protein 4, Transthyretin (TTR), Apolipoprotein E, Gelsolin, Angiotensinogen, Agrin, Serum albumin, Myosin-15, Apolipoprotein B-100 and EF-hand calcium-binding domain—containing protein. ELISA experiments allowed validating part of the results obtained in the proteomics analysis and showed that some of the alterations in the CSF proteome are also mirrored in serum samples from multiple sclerosis patients. CSF of multiple sclerosis patients was characterized by TTR oligomerization, thus highlighting the importance of analyzing posttranslational modifications of the proteome in the identification of novel biomarkers of the disease. Conclusions The model built based on the results obtained upon analysis of the 2D-gels and in the validation phase attained an accuracy of about 80% in distinguishing multiple sclerosis patients and the other two groups. Supplementary Information The online version contains supplementary material available at 10.1186/s12974-022-02404-2.
Collapse
Affiliation(s)
- Ivan L Salazar
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.,Institute for Interdisciplinary Research, University of Coimbra, Coimbra, Portugal
| | - Ana S T Lourenço
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.,Institute for Interdisciplinary Research, University of Coimbra, Coimbra, Portugal
| | - Bruno Manadas
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.,Institute for Interdisciplinary Research, University of Coimbra, Coimbra, Portugal
| | - Inês Baldeiras
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.,Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Cláudia Ferreira
- Coimbra Chemistry Centre, Department of Chemistry, University of Coimbra, Coimbra, Portugal
| | - Anabela Claro Teixeira
- Molecular Neurobiology Group, Instituto de Biologia Molecular e Celular (IBMC), Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
| | - Vera M Mendes
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
| | - Ana Margarida Novo
- Neurology Department, CHUC-Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Rita Machado
- Neurology Department, CHUC-Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Sónia Batista
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.,Neurology Department, CHUC-Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Maria do Carmo Macário
- Neurology Department, CHUC-Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Mário Grãos
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.,Institute for Interdisciplinary Research, University of Coimbra, Coimbra, Portugal.,Biocant-Associação de Transferência de Tecnologia, Cantanhede, Portugal
| | - Lívia Sousa
- Neurology Department, CHUC-Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Maria João Saraiva
- Molecular Neurobiology Group, Instituto de Biologia Molecular e Celular (IBMC), Instituto de Investigação e Inovação em Saúde (i3S), University of Porto, Porto, Portugal
| | - Alberto A C C Pais
- Coimbra Chemistry Centre, Department of Chemistry, University of Coimbra, Coimbra, Portugal
| | - Carlos B Duarte
- CNC-Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal. .,Department of Life Sciences, University of Coimbra, Coimbra, Portugal.
| |
Collapse
|
20
|
Wang Y, Liu Y, Chen R, Qiao L. Metabolomic Characterization of Cerebrospinal Fluid from Intracranial Bacterial Infection Pediatric Patients: A Pilot Study. Molecules 2021; 26:molecules26226871. [PMID: 34833963 PMCID: PMC8622478 DOI: 10.3390/molecules26226871] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 11/09/2021] [Accepted: 11/10/2021] [Indexed: 01/20/2023] Open
Abstract
Intracranial bacterial infection remains a major cause of morbidity and mortality in neurosurgical cases. Metabolomic profiling of cerebrospinal fluid (CSF) holds great promise to gain insights into the pathogenesis of central neural system (CNS) bacterial infections. In this pilot study, we analyzed the metabolites in CSF of CNS infection patients and controls in a pseudo-targeted manner, aiming at elucidating the metabolic dysregulation in response to postoperative intracranial bacterial infection of pediatric cases. Untargeted analysis uncovered 597 metabolites, and screened out 206 differential metabolites in case of infection. Targeted verification and pathway analysis filtered out the glycolysis, amino acids metabolism and purine metabolism pathways as potential pathological pathways. These perturbed pathways are involved in the infection-induced oxidative stress and immune response. Characterization of the infection-induced metabolic changes can provide robust biomarkers of CNS bacterial infection for clinical diagnosis, novel pathways for pathological investigation, and new targets for treatment.
Collapse
Affiliation(s)
- Yiwen Wang
- Department of Chemistry, Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China;
| | - Yu Liu
- Department of Neurosurgery, Shanghai Children’s Hospital, Shanghai Jiao Tong University, Shanghai 200062, China;
| | - Ruoping Chen
- Department of Pediatric Neurosurgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
- Correspondence: (R.C.); (L.Q.)
| | - Liang Qiao
- Department of Chemistry, Shanghai Stomatological Hospital, Fudan University, Shanghai 200000, China;
- Correspondence: (R.C.); (L.Q.)
| |
Collapse
|
21
|
Ma R, Johnson JHR, Tang Y, Fitzgerald MC. Analysis of Brain Protein Stability Changes in Mouse Models of Normal Aging and α-Synucleinopathy Reveals Age- and Disease-Related Differences. J Proteome Res 2021; 20:5156-5168. [PMID: 34606284 DOI: 10.1021/acs.jproteome.1c00653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Here, we utilize the stability of proteins from rates of oxidation (SPROX) technique, to profile the thermodynamic stabilities of proteins in brain tissue cell lysates from Huα-Syn(A53T) transgenic mice at three time points including at 1 month (n = 9), at 6 months (n = 7), and at the time (between 9 and 16 months) a mouse became symptomatic (n = 8). The thermodynamic stability profiles generated here on 332 proteins were compared to thermodynamic stability profiles generated on the same proteins from similarly aged wild-type mice using a two-way unbalanced analysis of variance (ANOVA) analysis. This analysis identified a group of 22 proteins with age-related protein stability changes and a group of 11 proteins that were differentially stabilized in the Huα-Syn(A53T) transgenic mouse model. A total of 9 of the 11 proteins identified here with disease-related stability changes have been previously detected in human cerebral spinal fluid and thus have potential utility as biomarkers of Parkinson's disease (PD). The differential stability observed for one protein, glutamate decarboxylase 2 (Gad2), with an age-related change in stability, was consistent with the differential presence of a known, age-related truncation product of this protein, which is shown here to have a higher folding stability than full-length Gad2. Mass spectrometry data were deposited at ProteomeXchange (PXD016985).
Collapse
Affiliation(s)
- Renze Ma
- Department of Chemistry, Duke University, Box 90346, Durham, North Carolina 27708-0346, United States
| | - Julia H R Johnson
- Department of Chemistry, Duke University, Box 90346, Durham, North Carolina 27708-0346, United States
| | - Yun Tang
- Department of Chemistry, Duke University, Box 90346, Durham, North Carolina 27708-0346, United States
| | - Michael C Fitzgerald
- Department of Chemistry, Duke University, Box 90346, Durham, North Carolina 27708-0346, United States
| |
Collapse
|
22
|
Shao D, Huang L, Wang Y, Cui X, Li Y, Wang Y, Ma Q, Du W, Cui J. HBFP: a new repository for human body fluid proteome. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2021; 2021:6395039. [PMID: 34642750 PMCID: PMC8516408 DOI: 10.1093/database/baab065] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 09/23/2021] [Accepted: 09/28/2021] [Indexed: 12/15/2022]
Abstract
Body fluid proteome has been intensively studied as a primary source for disease
biomarker discovery. Using advanced proteomics technologies, early research
success has resulted in increasingly accumulated proteins detected in different
body fluids, among which many are promising biomarkers. However, despite a
handful of small-scale and specific data resources, current research is clearly
lacking effort compiling published body fluid proteins into a centralized and
sustainable repository that can provide users with systematic analytic tools. In
this study, we developed a new database of human body fluid proteome (HBFP) that
focuses on experimentally validated proteome in 17 types of human body fluids.
The current database archives 11 827 unique proteins reported by 164
scientific publications, with a maximal false discovery rate of 0.01 on both the
peptide and protein levels since 2001, and enables users to query, analyze and
download protein entries with respect to each body fluid. Three unique features
of this new system include the following: (i) the protein annotation page
includes detailed abundance information based on relative qualitative measures
of peptides reported in the original references, (ii) a new score is calculated
on each reported protein to indicate the discovery confidence and (iii) HBFP
catalogs 7354 proteins with at least two non-nested uniquely mapping peptides of
nine amino acids according to the Human Proteome Project Data Interpretation
Guidelines, while the remaining 4473 proteins have more than two unique peptides
without given sequence information. As an important resource for human protein
secretome, we anticipate that this new HBFP database can be a powerful tool that
facilitates research in clinical proteomics and biomarker discovery. Database URL:https://bmbl.bmi.osumc.edu/HBFP/
Collapse
Affiliation(s)
- Dan Shao
- Department of Computer Science and Engineering, University of Nebraska-Lincoln, 122E Avery Hall, 1144 T St., Lincoln, NE 68588, USA.,Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China.,Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Lan Huang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Yan Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Xueteng Cui
- Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Yufei Li
- Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Yao Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Qin Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, 310G Lincoln tower, 1800 cannon drive, Columbus, OH 43210, USA
| | - Wei Du
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Juan Cui
- Department of Computer Science and Engineering, University of Nebraska-Lincoln, 122E Avery Hall, 1144 T St., Lincoln, NE 68588, USA
| |
Collapse
|
23
|
Xiong LL, Xue LL, Chen YJ, Du RL, Wang Q, Wen S, Zhou L, Liu T, Wang TH, Yu CY. Proteomics Study on the Cerebrospinal Fluid of Patients with Encephalitis. ACS OMEGA 2021; 6:16288-16296. [PMID: 34235299 PMCID: PMC8246475 DOI: 10.1021/acsomega.1c00367] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 05/28/2021] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Label-free quantitative proteomics was applied to analyze differentially expressed proteins (DEPs) in the cerebrospinal fluid (CSF) of patients with encephalitis. The database was used to screen for possible biomarkers in encephalitis, followed by validation and preliminary investigation of the role of some DEPs in the pathogenesis of encephalitis using enzyme-linked immunosorbent assay (ELISA). METHODS We performed label-free quantitative proteomics on 16 cerebrospinal fluid samples (EM group, encephalitis with mental and behavioral disorders patients, n = 5; NED group, encephalitis without mental and behavioral disorders patients, n = 6; N group, healthy individuals, n = 5). The extracted CSF proteins were examined by mass spectrometry and enzymatic digestion and detected using protein profiling and data analysis. Interproscan was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the DEPs. ELISA was used to verify the changes in the levels of some DEPs in the CSF. RESULTS A total of 941 proteins were found to be significantly differentially expressed, including 250 upregulated DEPs and 691 downregulated DEPs. GO analysis suggested that there were six enriched functions that intersect among the EM, NED, and N groups, including synapse organization, membrane, integral component of membrane, membrane part, G-protein-coupled receptor signaling pathway, and transmembrane signaling receptor activity. KEGG analysis revealed that there were three signaling pathways that intersect among the EM, NED, and N groups, including fructose and mannose metabolism, inositol phosphate metabolism, and Jak-STAT signaling pathway. Furthermore, four downregulated encephalitis-related neurological synapse proteins were identified after screening for differentially expressed proteins, including NRXN3, NFASC, LRRC4B, and NLGN2. The result of ELISA further verified that the expression of NLGN2 and LRRC4B was obviously higher in the NED group than in the N group. CONCLUSIONS These findings demonstrated that NLGN2 and LRRC4B proteins were upregulated in the NED group and could be potential biomarkers for the diagnosis of encephalitis, but still needs a lot of multiomics studies to be used in clinical.
Collapse
Affiliation(s)
- Liu-Lin Xiong
- Department of Anesthesiology, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Huichuan
District, Guizhou 550000, China
| | - Lu-Lu Xue
- Institute of Neuroscience, Kunming Medical University, Kunming 650031, China
| | - Yan-Jun Chen
- Institute of Neurological Disease, West China Hospital, Sichuan University, No. 88 Keyuan South Road, Chengdu 610041, Sichuan, China
| | - Ruo-Lan Du
- Institute of Neurological Disease, West China Hospital, Sichuan University, No. 88 Keyuan South Road, Chengdu 610041, Sichuan, China
| | - Qian Wang
- Department of Neurology, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Huichuan District, Guizhou 550000, China
| | - Song Wen
- Department of Anesthesiology, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Huichuan
District, Guizhou 550000, China
| | - Lin Zhou
- Department of Anesthesiology, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Huichuan
District, Guizhou 550000, China
| | - Tao Liu
- Department of Neurology, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Huichuan District, Guizhou 550000, China
| | - Ting-Hua Wang
- Institute of Neurological Disease, West China Hospital, Sichuan University, No. 88 Keyuan South Road, Chengdu 610041, Sichuan, China
| | - Chang-Yin Yu
- Department of Neurology, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Huichuan District, Guizhou 550000, China
| |
Collapse
|
24
|
Abbasi DA, Nguyen TTA, Hall DA, Robertson-Dick E, Berry-Kravis E, Cologna SM. Characterization of the Cerebrospinal Fluid Proteome in Patients with Fragile X-Associated Tremor/Ataxia Syndrome. THE CEREBELLUM 2021; 21:86-98. [PMID: 34046842 DOI: 10.1007/s12311-021-01262-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/16/2021] [Indexed: 01/11/2023]
Abstract
Fragile X-associated tremor/ataxia syndrome (FXTAS), first described in 2001, is a neurodegenerative and movement disorder, caused by a premutation in the fragile X mental retardation 1 (FMR1) gene. To date, the biological mechanisms causing this condition are still not well understood, as not all premutation carriers develop FXTAS. To further understand this syndrome, we quantitatively compared the cerebrospinal fluid (CSF) proteome of FXTAS patients with age-matched controls using mass spectrometry. We identified 415 proteins of which 97 were altered in FXTAS patients. These proteins suggest changes in acute phase response signaling, liver X receptor/ retinoid X receptor (LXR/RXR) activation, and farnesoid X receptor (FXR)/RXR activation, which are the main pathways found to be affected. Additionally, we detected changes in many other proteins including amyloid-like protein 2, contactin-1, afamin, cell adhesion molecule 4, NPC intracellular cholesterol transporter 2, and cathepsin B, that had been previously noted to hold important roles in other movement disorders. Specific to RXR pathways, several apolipoproteins (APOA1, APOA2, APOA4, APOC2, and APOD) showed significant changes in the CSF of FXTAS patients. Lastly, CSF parameters were analyzed to investigate abnormalities in blood brain barrier function. Correlations were observed between patient albumin quotient values, a measure of permeability, and CGG repeat length as well as FXTAS rating scale scores.
Collapse
Affiliation(s)
- Diana A Abbasi
- Department of Pediatrics and Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Thu T A Nguyen
- Department of Chemistry, University of Illinois At Chicago, Chicago, IL, USA
| | - Deborah A Hall
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Erin Robertson-Dick
- Department of Communication Sciences and Disorders, Northwestern University, Chicago, IL, USA
| | - Elizabeth Berry-Kravis
- Department of Pediatrics and Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Stephanie M Cologna
- Department of Chemistry, University of Illinois At Chicago, Chicago, IL, USA.
- Laboratory of Integrated Neuroscience, University of Illinois At Chicago, 845 W Taylor Street, Room 4500, Chicago, IL, 60607, USA.
| |
Collapse
|
25
|
McKetney J, Panyard DJ, Johnson SC, Carlsson CM, Engelman CD, Coon JJ. Pilot proteomic analysis of cerebrospinal fluid in Alzheimer's disease. Proteomics Clin Appl 2021; 15:e2000072. [PMID: 33682374 PMCID: PMC8197734 DOI: 10.1002/prca.202000072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 02/24/2021] [Accepted: 03/01/2021] [Indexed: 01/10/2023]
Abstract
Proteomic analysis of cerebrospinal fluid (CSF) holds great promise in understanding the progression of neurodegenerative diseases, including Alzheimer's disease (AD). As one of the primary reservoirs of neuronal biomolecules, CSF provides a window into the biochemical and cellular aspects of the neurological environment. CSF can be drawn from living participants allowing the potential alignment of clinical changes with these biochemical markers. Using cutting-edge mass spectrometry technologies, we perform a streamlined proteomic analysis of CSF. We quantify greater than 700 proteins across 10 pairs of age- and sex-matched participants in approximately one hour of analysis time each. Using the paired participant study structure, we identify a small group of biologically relevant proteins that show substantial changes in abundance between cognitive normal and AD participants, which were then analyzed at the peptide level using parallel reaction monitoring experiments. Our findings suggest the utility of fractionating a single sample and using matching to increase proteomic depth in cerebrospinal fluid, as well as the potential power of an expanded study.
Collapse
Affiliation(s)
- Justin McKetney
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI
- National Center for Quantitative Biology of Complex Systems, Madison, WI
| | - Daniel J. Panyard
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI
| | - Sterling C. Johnson
- Geriatric Research Education and Clinical Center, Middleton Memorial Veterans Hospital, Madison, WI
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine, Madison, WI
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine, Madison, WI
| | - Cynthia M. Carlsson
- Geriatric Research Education and Clinical Center, Middleton Memorial Veterans Hospital, Madison, WI
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine, Madison, WI
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine, Madison, WI
| | - Corinne D. Engelman
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI
- Wisconsin Alzheimer’s Institute, University of Wisconsin-Madison School of Medicine, Madison, WI
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin-Madison School of Medicine, Madison, WI
| | - Joshua J. Coon
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI
- National Center for Quantitative Biology of Complex Systems, Madison, WI
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI
- Morgridge Institute for Research, Madison, WI
| |
Collapse
|
26
|
Voukali E, Veetil NK, Němec P, Stopka P, Vinkler M. Comparison of plasma and cerebrospinal fluid proteomes identifies gene products guiding adult neurogenesis and neural differentiation in birds. Sci Rep 2021; 11:5312. [PMID: 33674647 PMCID: PMC7935914 DOI: 10.1038/s41598-021-84274-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 02/10/2021] [Indexed: 11/27/2022] Open
Abstract
Cerebrospinal fluid (CSF) proteins regulate neurogenesis, brain homeostasis and participate in signalling during neuroinflammation. Even though birds represent valuable models for constitutive adult neurogenesis, current proteomic studies of the avian CSF are limited to chicken embryos. Here we use liquid chromatography-tandem mass spectrometry (nLC-MS/MS) to explore the proteomic composition of CSF and plasma in adult chickens (Gallus gallus) and evolutionarily derived parrots: budgerigar (Melopsittacus undulatus) and cockatiel (Nymphicus hollandicus). Because cockatiel lacks a complete genome information, we compared the cross-species protein identifications using the reference proteomes of three model avian species: chicken, budgerigar and zebra finch (Taeniopygia guttata) and found the highest identification rates when mapping against the phylogenetically closest species, the budgerigar. In total, we identified 483, 641 and 458 unique proteins consistently represented in the CSF and plasma of all chicken, budgerigar and cockatiel conspecifics, respectively. Comparative pathways analyses of CSF and blood plasma then indicated clusters of proteins involved in neurogenesis, neural development and neural differentiation overrepresented in CSF in each species. This study provides the first insight into the proteomics of adult avian CSF and plasma and brings novel evidence supporting the adult neurogenesis in birds.
Collapse
Affiliation(s)
- Eleni Voukali
- Department of Zoology, Faculty of Science, Charles University, Viničná 7, 128 44, Prague, Czech Republic.
| | - Nithya Kuttiyarthu Veetil
- Department of Zoology, Faculty of Science, Charles University, Viničná 7, 128 44, Prague, Czech Republic
| | - Pavel Němec
- Department of Zoology, Faculty of Science, Charles University, Viničná 7, 128 44, Prague, Czech Republic
| | - Pavel Stopka
- Department of Zoology, Faculty of Science, Charles University, Viničná 7, 128 44, Prague, Czech Republic
| | - Michal Vinkler
- Department of Zoology, Faculty of Science, Charles University, Viničná 7, 128 44, Prague, Czech Republic.
| |
Collapse
|
27
|
Lee JH, Hwang YJ, Li H, Kim H, Suh MW, Han D, Oh SH. In-depth proteome of perilymph in guinea pig model. Proteomics 2021; 21:e2000138. [PMID: 33459488 DOI: 10.1002/pmic.202000138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 11/13/2020] [Accepted: 12/07/2020] [Indexed: 01/10/2023]
Abstract
The vast majority of sensorineural hearing loss is caused by impairment of the inner ear cells. Proteomic analysis of perilymph may therefore improve our understanding of inner ear diseases and hearing loss. However, the investigation of the human perilymph proteome was limited due to technical difficulties in perilymph sampling. The guinea pig (Cavia porcellus) is frequently used as an experimental model in preclinical hearing research. In this study, we analyzed samples of perilymph collected from 12 guinea pigs to overcome limited experimental information regarding its proteome. We identified a total of 1413 proteins, establishing a greatly expanded proteome of the previously inferred guinea pig perilymph. This provides a comprehensive proteomic resource for the research community, which will facilitate future molecular-phenotypic studies using the guinea pig as an experimental model of relevance to human inner ear biology.
Collapse
Affiliation(s)
- Jung Hun Lee
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Yu-Jung Hwang
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Hospital, Seoul, South Korea
| | - Hui Li
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Hospital, Seoul, South Korea
| | - Hyeyoon Kim
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Myung-Whan Suh
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Hospital, Seoul, South Korea
| | - Dohyun Han
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Seung-Ha Oh
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Hospital, Seoul, South Korea
| |
Collapse
|
28
|
Otero BA, Poukalov K, Hildebrandt RP, Thornton CA, Jinnai K, Fujimura H, Kimura T, Hagerman KA, Sampson JB, Day JW, Wang ET. Transcriptome alterations in myotonic dystrophy frontal cortex. Cell Rep 2021; 34:108634. [PMID: 33472074 PMCID: PMC9272850 DOI: 10.1016/j.celrep.2020.108634] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 11/16/2020] [Accepted: 12/21/2020] [Indexed: 12/13/2022] Open
Abstract
Myotonic dystrophy (DM) is caused by expanded CTG/CCTG repeats, causing symptoms in skeletal muscle, heart, and central nervous system (CNS). CNS issues are debilitating and include hypersomnolence, executive dysfunction, white matter atrophy, and neurofibrillary tangles. Here, we generate RNA-seq transcriptomes from DM and unaffected frontal cortex and identify 130 high-confidence splicing changes, most occurring only in cortex, not skeletal muscle or heart. Mis-spliced exons occur in neurotransmitter receptors, ion channels, and synaptic scaffolds, and GRIP1 mis-splicing modulates kinesin association. Optical mapping of expanded CTG repeats reveals extreme mosaicism, with some alleles showing >1,000 CTGs. Mis-splicing severity correlates with CTG repeat length across individuals. Upregulated genes tend to be microglial and endothelial, suggesting neuroinflammation, and downregulated genes tend to be neuronal. Many gene expression changes strongly correlate with mis-splicing, suggesting candidate biomarkers of disease. These findings provide a framework for mechanistic and therapeutic studies of the DM CNS. Otero et al. characterize DM1 frontal cortex transcriptomes and observe extreme CTG repeat lengths even in individuals showing modest mis-splicing. Mis-splicing is enriched in ion channels, neurotransmitter receptors, and synaptic scaffolds, in some cases potentially altering synaptic trafficking. Inferred expression signatures from microglia and endothelial cells suggest neuroinflammation.
Collapse
Affiliation(s)
- Brittney A Otero
- Department of Molecular Genetics & Microbiology, Center for NeuroGenetics, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Kiril Poukalov
- Department of Molecular Genetics & Microbiology, Center for NeuroGenetics, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Ryan P Hildebrandt
- Department of Molecular Genetics & Microbiology, Center for NeuroGenetics, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Charles A Thornton
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Kenji Jinnai
- Department of Neurology, National Hospital Organization Hyogo-Chuo Hospital, Sanda, Japan
| | - Harutoshi Fujimura
- Department of Neurology, National Hospital Organization Toneyama Hospital, Osaka, Japan
| | - Takashi Kimura
- Department of Neurology, Hyogo College of Medicine, Nichinomiya, Japan
| | | | | | - John W Day
- Department of Neurology, Stanford University, Palo Alto, CA, USA
| | - Eric T Wang
- Department of Molecular Genetics & Microbiology, Center for NeuroGenetics, Genetics Institute, University of Florida, Gainesville, FL, USA.
| |
Collapse
|
29
|
Gerasimov A, Golderman V, Gofrit SG, Aharoni SA, Zohar DN, Itsekson-Hayosh Z, Fay-Karmon T, Hassin-Baer S, Chapman J, Maggio N, Shavit-Stein E. Markers for neural degeneration and regeneration: novel highly sensitive methods for the measurement of thrombin and activated protein C in human cerebrospinal fluid. Neural Regen Res 2021; 16:2086-2092. [PMID: 33642398 PMCID: PMC8343305 DOI: 10.4103/1673-5374.308098] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Inflammation and coagulation are tightly interconnected in the pathophysiology of neuronal diseases. Thrombin, a pro-coagulant serine protease is associated with neurodegeneration and its indirect inhibitor, activated protein C (aPC), is considered neuroprotective. While levels of thrombin and aPC activity are readily measured in the blood, similar assays in the cerebrospinal fluid (CSF) have not been described. The aim of this study was to establish a specific and sensitive enzymatic assay to measure both thrombin and aPC activity in the CSF. CSF was collected from 14 patients with suspected normal pressure hydrocephalus served as a control group, while seven patients with central nervous system infections served as an acute neuro-inflammatory study group and one sample of CSF following traumatic lumbar puncture served as a positive control. Thrombin and aPC activities were measured by fluorescence released by specific proteolytic cleavage in the presence of endopeptidase and amino-peptidase inhibitors to ensure specificity. Specificity of the method was verified by thrombin and serine-protease inhibitors N-alpha-((2-naphthylsulfinyl)glycyl)-DL-p-amidinophenylalanylpiperidine and phenylmethanesulfonyl fluoride. Inhibition of thrombin activity by CSF samples and levels of specific thrombin inhibitors were also assessed. Thrombin and aPC activities were reliably measured and were significantly higher in the CSF of patients with central nervous system infections compared to normal pressure hydrocephalus controls, suggesting the involvement of these factors in neuro-inflammation. CSF thrombin activity levels in the presence of known thrombin concentration were high in patients with central nervous system infections, and low in normal pressure hydrocephalus patients. Quantification of endogenous thrombin inhibitors protease nexin 1, amyloid precursor protein and anti-thrombin III in CSF by western blot indicated a significant elevation of amyloid precursor protein in infectious CSF. In conclusion, this study describes a novel and sensitive assay aimed at the detection of thrombin and aPC activity in CSF. This method may be useful for measuring these factors that reflect degenerative and protective influences of coagulation on neurological disorders. The study procedure was approved by the Ethics Committee of the Chaim Sheba Medical Center (approval No. 4245-17-SMC) on October 18, 2018.
Collapse
Affiliation(s)
| | - Valery Golderman
- Department of Neurology and Neurosurgery, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Shany Guly Gofrit
- Department of Neurology, The Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Shay Anat Aharoni
- Department of Neurology, The Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Daniela Noa Zohar
- Department of Neurology, The Chaim Sheba Medical Center, Ramat Gan, Israel
| | | | - Tsviya Fay-Karmon
- Department of Neurology; The Movement Disorders Institute, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Sharon Hassin-Baer
- Department of Neurology, The Chaim Sheba Medical Center, Ramat Gan; Department of Neurology and Neurosurgery, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv; The Movement Disorders Institute, Chaim Sheba Medical Center, Ramat Gan; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Joab Chapman
- Department of Neurology, The Chaim Sheba Medical Center, Ramat Gan; Department of Neurology and Neurosurgery, Sackler Faculty of Medicine; Sagol School of Neuroscience; Department of Physiology and Pharmacology, Sackler Faculty of Medicine; Robert and Martha Harden Chair in Mental and Neurological Diseases, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Nicola Maggio
- Department of Neurology, The Chaim Sheba Medical Center, Ramat Gan; Department of Neurology and Neurosurgery, Sackler Faculty of Medicine; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv; Talpiot Medical Leadership Program, The Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Efrat Shavit-Stein
- Department of Neurology, The Chaim Sheba Medical Center, Ramat Gan; Department of Neurology and Neurosurgery, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| |
Collapse
|
30
|
Lachén-Montes M, Mendizuri N, Ausín K, Pérez-Mediavilla A, Azkargorta M, Iloro I, Elortza F, Kondo H, Ohigashi I, Ferrer I, de la Torre R, Robledo P, Fernández-Irigoyen J, Santamaría E. Smelling the Dark Proteome: Functional Characterization of PITH Domain-Containing Protein 1 (C1orf128) in Olfactory Metabolism. J Proteome Res 2020; 19:4826-4843. [PMID: 33185454 DOI: 10.1021/acs.jproteome.0c00452] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The Human Proteome Project (HPP) consortium aims to functionally characterize the dark proteome. On the basis of the relevance of olfaction in early neurodegeneration, we have analyzed the dark proteome using data mining in public resources and omics data sets derived from the human olfactory system. Multiple dark proteins localize at synaptic terminals and may be involved in amyloidopathies such as Alzheimer's disease (AD). We have characterized the dark PITH domain-containing protein 1 (PITHD1) in olfactory metabolism using bioinformatics, proteomics, in vitro and in vivo studies, and neuropathology. PITHD1-/- mice exhibit olfactory bulb (OB) proteome changes related to synaptic transmission, cognition, and memory. OB PITHD1 expression increases with age in wild-type (WT) mice and decreases in Tg2576 AD mice at late stages. The analysis across 6 neurological disorders reveals that olfactory tract (OT) PITHD1 is specifically upregulated in human AD. Stimulation of olfactory neuroepithelial (ON) cells with PITHD1 alters the ON phosphoproteome, modifies the proliferation rate, and induces a pro-inflammatory phenotype. This workflow applied by the Spanish C-HPP and Human Brain Proteome Project (HBPP) teams across the ON-OB-OT axis can be adapted as a guidance to decipher functional features of dark proteins. Data are available via ProteomeXchange with identifiers PXD018784 and PXD021634.
Collapse
Affiliation(s)
- Mercedes Lachén-Montes
- Clinical Neuroproteomics Unit, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.,Proteored-ISCIII, Proteomics Platform, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
| | - Naroa Mendizuri
- Clinical Neuroproteomics Unit, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.,Proteored-ISCIII, Proteomics Platform, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
| | - Karina Ausín
- Clinical Neuroproteomics Unit, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.,Proteored-ISCIII, Proteomics Platform, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
| | - Alberto Pérez-Mediavilla
- IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain.,Neurobiology of Alzheimer's Disease, Department of Biochemistry, Center for Applied Medical Research (CIMA), Neurosciences Division, University of Navarra, 31008 Pamplona, Spain
| | - Mikel Azkargorta
- Proteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Bizkaia Science and Technology Park, 48160 Derio, Spain
| | - Ibon Iloro
- Proteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Bizkaia Science and Technology Park, 48160 Derio, Spain
| | - Felix Elortza
- Proteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Bizkaia Science and Technology Park, 48160 Derio, Spain
| | - Hiroyuki Kondo
- Division of Experimental Immunology, Institute of Advanced Medical Sciences, Tokushima University, Tokushima 770-8503, Japan
| | - Izumi Ohigashi
- Division of Experimental Immunology, Institute of Advanced Medical Sciences, Tokushima University, Tokushima 770-8503, Japan
| | - Isidre Ferrer
- Bellvitge Biomedical Research Institute (IDIBELL), 08908 Hospitalet de Llobregat, Spain.,CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, 28029 Madrid, Spain.,Department of Pathology and Experimental Therapeutics, University of Barcelona, 08908 Hospitalet de Llobregat, Spain.,Institute of Neurosciences, University of Barcelona, 08007 Barcelona, Spain
| | - Rafael de la Torre
- Integrative Pharmacology and Systems Neuroscience Research Group, Neurosciences Research Program, IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain.,Department of Experimental and Health Sciences, Pompeu Fabra University (CEXS-UPF), 08002 Barcelona, Spain.,School of Medicine, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain.,CIBER de Fisiopatología de la Obesidad y Nutrición (CB06/03), CIBEROBN, 28029 Madrid, Spain
| | - Patricia Robledo
- Integrative Pharmacology and Systems Neuroscience Research Group, Neurosciences Research Program, IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain.,Department of Experimental and Health Sciences, Pompeu Fabra University (CEXS-UPF), 08002 Barcelona, Spain
| | - Joaquín Fernández-Irigoyen
- Clinical Neuroproteomics Unit, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.,Proteored-ISCIII, Proteomics Platform, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
| | - Enrique Santamaría
- Clinical Neuroproteomics Unit, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.,Proteored-ISCIII, Proteomics Platform, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Irunlarrea 3, 31008 Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research, Irunlarrea 3, 31008 Pamplona, Spain
| |
Collapse
|
31
|
Tristán-Noguero A, Borràs E, Molero-Luis M, Wassenberg T, Peters T, Verbeek MM, Willemsen M, Opladen T, Jeltsch K, Pons R, Thony B, Horvath G, Yapici Z, Friedman J, Hyland K, Agosta GE, López-Laso E, Artuch R, Sabidó E, García-Cazorla À. Novel Protein Biomarkers of Monoamine Metabolism Defects Correlate with Disease Severity. Mov Disord 2020; 36:690-703. [PMID: 33152132 DOI: 10.1002/mds.28362] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 09/29/2020] [Accepted: 09/30/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Genetic defects of monoamine neurotransmitters are rare neurological diseases amenable to treatment with variable response. They are major causes of early parkinsonism and other spectrum of movement disorders including dopa-responsive dystonia. OBJECTIVES The objective of this study was to conduct proteomic studies in cerebrospinal fluid (CSF) samples of patients with monoamine defects to detect biomarkers involved in pathophysiology, clinical phenotypes, and treatment response. METHODS A total of 90 patients from diverse centers of the International Working Group on Neurotransmitter Related Disorders were included in the study (37 untreated before CSF collection, 48 treated and 5 unknown at the collection time). Clinical and molecular metadata were related to the protein abundances in the CSF. RESULTS Concentrations of 4 proteins were significantly altered, detected by mass spectrometry, and confirmed by immunoassays. First, decreased levels of apolipoprotein D were found in severe cases of aromatic L-amino acid decarboxylase deficiency. Second, low levels of apolipoprotein H were observed in patients with the severe phenotype of tyrosine hydroxylase deficiency, whereas increased concentrations of oligodendrocyte myelin glycoprotein were found in the same subset of patients with tyrosine hydroxylase deficiency. Third, decreased levels of collagen6A3 were observed in treated patients with tetrahydrobiopterin deficiency. CONCLUSION This study with the largest cohort of patients with monoamine defects studied so far reports the proteomic characterization of CSF and identifies 4 novel biomarkers that bring new insights into the consequences of early dopaminergic deprivation in the developing brain. They open new possibilities to understand their role in the pathophysiology of these disorders, and they may serve as potential predictors of disease severity and therapies. © 2020 International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Alba Tristán-Noguero
- Synaptic Metabolism Laboratory, Sant Joan de Déu Foundation, Research Pediatric Institute (IPR), Sant Joan de Déu Hospital, Barcelona, Spain
| | - Eva Borràs
- Proteomics Unit, Center for Genomics Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marta Molero-Luis
- Department of Clinical Biochemistry, IPR and CIBERER-ISCIII, Sant Joan de Déu Hospital, Barcelona, Spain
| | - Tessa Wassenberg
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Tessa Peters
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Marcel M Verbeek
- Department of Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands.,Department of Pediatric Neurology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Michel Willemsen
- Department Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Thomas Opladen
- Division of Neuropediatrics & Metabolic Medicine, University Children's Hospital, Heidelberg, Germany
| | - Kathrin Jeltsch
- Division of Neuropediatrics & Metabolic Medicine, University Children's Hospital, Heidelberg, Germany
| | - Roser Pons
- First Department of Pediatrics, Pediatric Neurology Unit, Agia Sofia Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Beat Thony
- Division of Metabolism and Children's Research Centre, University Children's Hospital, Zurich, Switzerland
| | - Gabriella Horvath
- Department of Pediatrics, University of British Columbia, Vancouver, Canada
| | - Zuhal Yapici
- Division of Child Neurology, Department of Neurology, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey
| | - Jennifer Friedman
- Departments of Neuroscience and Pediatrics, University of California, San Diego, California, USA.,Rady Children's Hospital and Rady Children's Institute for Genomic Medicine, San Diego, California, USA
| | - Keith Hyland
- Medical Neurogenetics, LLC, Atlanta, Georgia, USA
| | | | - Eduardo López-Laso
- Pediatric Neurology Unit, Department of Pediatrics, University Hospital Reina Sofía, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), and CIBERER, Córdoba, Spain
| | - Rafael Artuch
- Department of Clinical Biochemistry, IPR and CIBERER-ISCIII, Sant Joan de Déu Hospital, Barcelona, Spain
| | - Eduard Sabidó
- Proteomics Unit, Center for Genomics Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Àngels García-Cazorla
- Synaptic Metabolism Laboratory, Sant Joan de Déu Foundation, Research Pediatric Institute (IPR), Sant Joan de Déu Hospital, Barcelona, Spain.,Neurometabolic Unit, Neurology Department, IPR, CIBER ("Centro de investigación Biomédica en Red") of Rare Diseases and Carlos III Healthcare Institute (CIBERER-ISCIII), European Reference Network for Hereditary Metabolic Disorders (MetabERN), Sant Joan de Déu Hospital, Barcelona, Spain
| |
Collapse
|
32
|
Sun Z, Li W, Xu J, Ren K, Gao F, Jiang Z, Ji F, Pan D. Proteomic Analysis of Cerebrospinal Fluid in Children with Acute Enterovirus-Associated Meningoencephalitis Identifies Dysregulated Host Processes and Potential Biomarkers. J Proteome Res 2020; 19:3487-3498. [PMID: 32678604 DOI: 10.1021/acs.jproteome.0c00307] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Enteroviruses (EVs) are major causes of viral meningoencephalitis in children. To better understand the pathogenesis and identify potential biomarkers, cerebrospinal fluid proteome in children (n = 52) suffering from EV meningoencephalitis was compared to that in EV-negative control subjects (n = 53) using the BoxCar acquisition technique. Among 1697 proteins identified, 1193 with robust assay readouts were used for quantitative analyses. Differential expression analyses identified 154 upregulated and 227 downregulated proteins in the EV-positive group. Functional analyses showed that the upregulated proteins are mainly related to activities of lymphocytes and cytokines, inflammation, and responses to stress and viral invasion, while the downregulated proteins are mainly related to neuronal integrity and activity as well as neurogenesis. According to receiver operating characteristic analysis results, Rho-GDP-dissociation inhibitor 2 exhibited the highest sensitivity (96.2%) and specificity (100%) for discriminating EV-positive from EV-negative patients. The chemokine CXCL10 was most upregulated (>300-fold) with also high sensitivity (92.3%) and specificity (94.3%) for indicating EV positivity. Thus, this study uncovered perturbations of multiple host processes due to EV meningoencephalitis, especially the general trend of enhanced immune responses but impaired neuronal functions. The identified dysregulated proteins may also prompt biomarker development.
Collapse
Affiliation(s)
- Zeyu Sun
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China
| | - Wei Li
- Department of Clinical Laboratory, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Jialu Xu
- Department of Neurology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Keyi Ren
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China
| | - Feng Gao
- Department of Neurology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Zhengyi Jiang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China
| | - Feiyang Ji
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China
| | - Dongli Pan
- Department of Medical Microbiology and Parasitology, and Department of Infectious Diseases of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| |
Collapse
|
33
|
Macron C, Núñez Galindo A, Cominetti O, Dayon L. A Versatile Workflow for Cerebrospinal Fluid Proteomic Analysis with Mass Spectrometry: A Matter of Choice between Deep Coverage and Sample Throughput. Methods Mol Biol 2020; 2044:129-154. [PMID: 31432411 DOI: 10.1007/978-1-4939-9706-0_9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Human cerebrospinal fluid (CSF) is a sample of choice in the study of brain disorders. This biological fluid circulates in the brain and the spinal cord and contains tissue-specific proteins, indicative of health and disease conditions. Despite its potential as a valid source of biological markers, CSF remains largely understudied as compared to blood, in particular due to its more invasive way of sampling.Challenges remain when performing proteomic analysis in clinical research studies. State-of-the-art mass spectrometry (MS) enables deep characterization of the human proteome. But some technical limitations are cardinal to be addressed, such as the capacity to routinely analyze large cohorts of samples. Importantly, a trade-off still needs to be made between the proteome coverage depth and the number of measured samples. In this context, we developed a scalable automated proteomic pipeline for the analysis of CSF. Because of its versatility, this workflow can be adapted to accommodate proteome coverage and/or sample throughput. It allows us to prepare and quantitatively analyze hundreds to thousands of CSF samples; it can also allow identification of more than 3000 proteins in a CSF sample when coupled with isoelectric focusing fractionation.In this chapter, we describe an end-to-end pipeline for the proteomic analysis of CSF. The main steps of the sample preparation comprise spiking of a standard, protein digestion, isobaric labeling, and purification; these are performed in a 96-well plate format enabling automation. Depending on the targeted depth of the CSF proteome, optional analytical steps can be included, such as the removal of abundant proteins and sample pre-fractionation. Liquid chromatography tandem MS as well as data processing and analysis complete the pipeline.
Collapse
Affiliation(s)
- Charlotte Macron
- Proteomics, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Antonio Núñez Galindo
- Proteomics, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Ornella Cominetti
- Proteomics, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland
| | - Loïc Dayon
- Proteomics, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland.
| |
Collapse
|
34
|
Macklin A, Khan S, Kislinger T. Recent advances in mass spectrometry based clinical proteomics: applications to cancer research. Clin Proteomics 2020; 17:17. [PMID: 32489335 PMCID: PMC7247207 DOI: 10.1186/s12014-020-09283-w] [Citation(s) in RCA: 147] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 05/15/2020] [Indexed: 02/07/2023] Open
Abstract
Cancer biomarkers have transformed current practices in the oncology clinic. Continued discovery and validation are crucial for improving early diagnosis, risk stratification, and monitoring patient response to treatment. Profiling of the tumour genome and transcriptome are now established tools for the discovery of novel biomarkers, but alterations in proteome expression are more likely to reflect changes in tumour pathophysiology. In the past, clinical diagnostics have strongly relied on antibody-based detection strategies, but these methods carry certain limitations. Mass spectrometry (MS) is a powerful method that enables increasingly comprehensive insights into changes of the proteome to advance personalized medicine. In this review, recent improvements in MS-based clinical proteomics are highlighted with a focus on oncology. We will provide a detailed overview of clinically relevant samples types, as well as, consideration for sample preparation methods, protein quantitation strategies, MS configurations, and data analysis pipelines currently available to researchers. Critical consideration of each step is necessary to address the pressing clinical questions that advance cancer patient diagnosis and prognosis. While the majority of studies focus on the discovery of clinically-relevant biomarkers, there is a growing demand for rigorous biomarker validation. These studies focus on high-throughput targeted MS assays and multi-centre studies with standardized protocols. Additionally, improvements in MS sensitivity are opening the door to new classes of tumour-specific proteoforms including post-translational modifications and variants originating from genomic aberrations. Overlaying proteomic data to complement genomic and transcriptomic datasets forges the growing field of proteogenomics, which shows great potential to improve our understanding of cancer biology. Overall, these advancements not only solidify MS-based clinical proteomics' integral position in cancer research, but also accelerate the shift towards becoming a regular component of routine analysis and clinical practice.
Collapse
Affiliation(s)
- Andrew Macklin
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Shahbaz Khan
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Thomas Kislinger
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| |
Collapse
|
35
|
Macron C, Lavigne R, Núñez Galindo A, Affolter M, Pineau C, Dayon L. Exploration of human cerebrospinal fluid: A large proteome dataset revealed by trapped ion mobility time-of-flight mass spectrometry. Data Brief 2020; 31:105704. [PMID: 32478154 PMCID: PMC7251648 DOI: 10.1016/j.dib.2020.105704] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 05/06/2020] [Indexed: 01/16/2023] Open
Abstract
Cerebrospinal fluid (CSF) is a biofluid in direct contact with the brain and as such constitutes a sample of choice in neurological disorder research, including neurodegenerative diseases such as Alzheimer or Parkinson. Human CSF has still been less studied using proteomic technologies compared to other biological fluids such as blood plasma or serum. In this work, a pool of "normal" human CSF samples was analysed using a shotgun proteomic workflow that combined removal of highly abundant proteins by immunoaffinity depletion and isoelectric focussing fractionation of tryptic peptides to alleviate the complexity of the biofluid. The resulting 24 fractions were analysed using liquid chromatography coupled to a high-resolution and high-accuracy timsTOF Pro mass spectrometer. This state-of-the-art mass spectrometry-based proteomic workflow allowed the identification of 3'174 proteins in CSF. The dataset reported herein completes the pool of the most comprehensive human CSF proteomes obtained so far. An overview of the identified proteins is provided based on gene ontology annotation. Mass and tandem mass spectra are made available as a possible starting point for further studies exploring the human CSF proteome.
Collapse
Affiliation(s)
- Charlotte Macron
- Proteomics, Nestlé Institute for Food Safety & Analytical Sciences, Nestlé Research, 1015 Lausanne, Switzerland
| | - Regis Lavigne
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, 35042 Rennes cedex, France.,Protim, Univ Rennes, F-35042 Rennes, France
| | - Antonio Núñez Galindo
- Proteomics, Nestlé Institute for Food Safety & Analytical Sciences, Nestlé Research, 1015 Lausanne, Switzerland
| | - Michael Affolter
- Proteomics, Nestlé Institute for Food Safety & Analytical Sciences, Nestlé Research, 1015 Lausanne, Switzerland
| | - Charles Pineau
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, 35042 Rennes cedex, France.,Protim, Univ Rennes, F-35042 Rennes, France
| | - Loïc Dayon
- Proteomics, Nestlé Institute for Food Safety & Analytical Sciences, Nestlé Research, 1015 Lausanne, Switzerland.,Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| |
Collapse
|
36
|
András IE, Sewell BB, Toborek M. HIV-1 and Amyloid Beta Remodel Proteome of Brain Endothelial Extracellular Vesicles. Int J Mol Sci 2020; 21:ijms21082741. [PMID: 32326569 PMCID: PMC7215366 DOI: 10.3390/ijms21082741] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 04/06/2020] [Accepted: 04/07/2020] [Indexed: 01/01/2023] Open
Abstract
Amyloid beta (Aβ) depositions are more abundant in HIV-infected brains. The blood-brain barrier, with its backbone created by endothelial cells, is assumed to be a core player in Aβ homeostasis and may contribute to Aβ accumulation in the brain. Exposure to HIV increases shedding of extracellular vesicles (EVs) from human brain endothelial cells and alters EV-Aβ levels. EVs carrying various cargo molecules, including a complex set of proteins, can profoundly affect the biology of surrounding neurovascular unit cells. In the current study, we sought to examine how exposure to HIV, alone or together with Aβ, affects the surface and total proteomic landscape of brain endothelial EVs. By using this unbiased approach, we gained an unprecedented, high-resolution insight into these changes. Our data suggest that HIV and Aβ profoundly remodel the proteome of brain endothelial EVs, altering the pathway networks and functional interactions among proteins. These events may contribute to the EV-mediated amyloid pathology in the HIV-infected brain and may be relevant to HIV-1-associated neurocognitive disorders.
Collapse
|
37
|
Oeckl P, Weydt P, Thal DR, Weishaupt JH, Ludolph AC, Otto M. Proteomics in cerebrospinal fluid and spinal cord suggests UCHL1, MAP2 and GPNMB as biomarkers and underpins importance of transcriptional pathways in amyotrophic lateral sclerosis. Acta Neuropathol 2020; 139:119-134. [PMID: 31701227 DOI: 10.1007/s00401-019-02093-x] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 10/11/2019] [Accepted: 11/01/2019] [Indexed: 01/09/2023]
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease and the proteins and pathways involved in the pathophysiology are not fully understood. Even less is known about the preclinical disease phase. To uncover new ALS-related proteins and pathways, we performed a comparative proteomic analysis in cerebrospinal fluid (CSF) of asymptomatic (n = 14) and symptomatic (n = 14) ALS mutation carriers and sporadic ALS patients (n = 12) as well as post-mortem human spinal cord tissue (controls: n = 7, ALS, n = 8). Using a CSF-optimized proteomic workflow, we identified novel (e.g., UCHL1, MAP2, CAPG, GPNMB, HIST1H4A, HIST1H2B) and well-described (e.g., NEFL, NEFH, NEFM, CHIT1, CHI3L1) protein level changes in CSF of sporadic and genetic ALS patients with enrichment of proteins related to transcription, cell cycle and lipoprotein remodeling (total protein IDs: 2303). No significant alteration was observed in asymptomatic ALS mutation carriers representing the prodromal disease phase. We confirmed UCHL1, MAP2, CAPG and GPNMB as novel biomarker candidates for ALS in an independent validation cohort of patients (n = 117) using multiple reaction monitoring. In spinal cord tissue, 292 out of 6810 identified proteins were significantly changed in ALS with enrichment of proteins involved in mRNA splicing and of the neurofilament compartment. In conclusion, our proteomic data in asymptomatic ALS mutation carriers support the hypothesis of a sudden disease onset instead of a long preclinical phase. Both CSF and tissue proteomic data indicate transcriptional pathways to be amongst the most affected. UCHL1, MAP2 and GPNMB are promising ALS biomarker candidates which might provide additional value to the established neurofilaments in patient follow-up and clinical trials.
Collapse
Affiliation(s)
- Patrick Oeckl
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Patrick Weydt
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg 45, 89081, Ulm, Germany
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Dietmar R Thal
- Laboratory of Neuropathology, Institute of Pathology, Ulm University, Ulm, Germany
- Department of Imaging and Pathology, KU Leuven and Department of Pathology, UZ Leuven, Louvain, Belgium
| | - Jochen H Weishaupt
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Markus Otto
- Department of Neurology, Ulm University Hospital, Oberer Eselsberg 45, 89081, Ulm, Germany.
| |
Collapse
|
38
|
Omenn GS, Lane L, Overall CM, Corrales FJ, Schwenk JM, Paik YK, Van Eyk JE, Liu S, Pennington S, Snyder MP, Baker MS, Deutsch EW. Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project. J Proteome Res 2019; 18:4098-4107. [PMID: 31430157 PMCID: PMC6898754 DOI: 10.1021/acs.jproteome.9b00434] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
The Human Proteome Project (HPP) annually reports on progress made throughout the field in credibly identifying and characterizing the complete human protein parts list and making proteomics an integral part of multiomics studies in medicine and the life sciences. NeXtProt release 2019-01-11 contains 17 694 proteins with strong protein-level evidence (PE1), compliant with HPP Guidelines for Interpretation of MS Data v2.1; these represent 89% of all 19 823 neXtProt predicted coding genes (all PE1,2,3,4 proteins), up from 17 470 one year earlier. Conversely, the number of neXtProt PE2,3,4 proteins, termed the "missing proteins" (MPs), has been reduced from 2949 to 2129 since 2016 through efforts throughout the community, including the chromosome-centric HPP. PeptideAtlas is the source of uniformly reanalyzed raw mass spectrometry data for neXtProt; PeptideAtlas added 495 canonical proteins between 2018 and 2019, especially from studies designed to detect hard-to-identify proteins. Meanwhile, the Human Protein Atlas has released version 18.1 with immunohistochemical evidence of expression of 17 000 proteins and survival plots as part of the Pathology Atlas. Many investigators apply multiplexed SRM-targeted proteomics for quantitation of organ-specific popular proteins in studies of various human diseases. The 19 teams of the Biology and Disease-driven B/D-HPP published a total of 160 publications in 2018, bringing proteomics to a broad array of biomedical research.
Collapse
Affiliation(s)
- Gilbert S. Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, Michigan 48109-2218, United States
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109-5263, United States
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, CMU, Michel-Servet 1, 1211 Geneva 4, Switzerland
| | - Christopher M. Overall
- Life Sciences Institute, Faculty of Dentistry, University of British Columbia, 2350 Health Sciences Mall, Room 4.401, Vancouver, British Columbia V6T 1Z3, Canada
| | | | - Jochen M. Schwenk
- Science for Life Laboratory, KTH Royal Institute of Technology, Tomtebodavägen 23A, 17165 Solna, Sweden
| | - Young-Ki Paik
- Yonsei Proteome Research Center, Yonsei University, Room 425, Building #114, 50 Yonsei-ro, Seodaemoon-ku, Seoul 120-749, South Korea
| | - Jennifer E. Van Eyk
- Advanced Clinical BioSystems Research Institute, Cedars Sinai Precision Biomarker Laboratories, Barbra Streisand Women’s Heart Center, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Siqi Liu
- BGI Group-Shenzhen, Yantian District, Shenzhen 518083, China
| | - Stephen Pennington
- School of Medicine, University College Dublin, Conway Institute Belfield, Dublin 4, Ireland
| | - Michael P. Snyder
- Department of Genetics, Stanford University, Alway Building, 300 Pasteur Drive and 3165 Porter Drive, Palo Alto, California 94304, United States
| | - Mark S. Baker
- Department of Biomedical Sciences, Faculty of Medicine & Health Sciences, Macquarie University, 75 Talavera Road, North Ryde, NSW 2109, Australia
| | - Eric W. Deutsch
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109-5263, United States
| |
Collapse
|
39
|
Bharucha T, Gangadharan B, Kumar A, de Lamballerie X, Newton PN, Winterberg M, Dubot-Pérès A, Zitzmann N. Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review. J Infect 2019; 79:407-418. [PMID: 31404562 PMCID: PMC6838782 DOI: 10.1016/j.jinf.2019.08.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 08/04/2019] [Accepted: 08/05/2019] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Central nervous system (CNS) infections account for considerable death and disability every year. An urgent research priority is scaling up diagnostic capacity, and introduction of point-of-care tests. We set out to assess current evidence for the application of mass spectrometry (MS) peptide sequencing in identification of diagnostic biomarkers for CNS infections. METHODS We performed a systematic review (PROSPEROCRD42018104257) using PRISMA guidelines on use of MS to identify cerebrospinal fluid (CSF) biomarkers for diagnosing CNS infections. We searched PubMed, Embase, Web of Science, and Cochrane for articles published from 1 January 2000 to 1 February 2019, and contacted experts. Inclusion criteria involved primary research except case reports, on the diagnosis of infectious diseases except HIV, applying MS to human CSF samples, and English language. RESULTS 4,620 papers were identified, of which 11 were included, largely confined to pre-clinical biomarker discovery, and eight (73%) published in the last five years. 6 studies performed further work termed verification or validation. In 2 of these studies, it was possible to extract data on sensitivity and specificity of the biomarkers detected by ELISA, ranging from 89-94% and 58-92% respectively. CONCLUSIONS The findings demonstrate feasibility and potential of the methods in a variety of infectious diseases, but emphasise the need for strong interdisciplinary collaborations to ensure appropriate study design and biomarker validation.
Collapse
Affiliation(s)
- Tehmina Bharucha
- Institute of Glycobiology, Department of Biochemistry, South Parks Road, Oxford OX1 3RQ, United Kingdom; Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao Democratic People's Republic.
| | - Bevin Gangadharan
- Institute of Glycobiology, Department of Biochemistry, South Parks Road, Oxford OX1 3RQ, United Kingdom
| | - Abhinav Kumar
- Institute of Glycobiology, Department of Biochemistry, South Parks Road, Oxford OX1 3RQ, United Kingdom
| | - Xavier de Lamballerie
- Unité des Virus Émergents (UVE: Aix-Marseille Univ - IRD 190 - Inserm 1207 - IHU Méditerranée Infection), Marseille, France
| | - Paul N Newton
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao Democratic People's Republic; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom
| | - Markus Winterberg
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom; Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 3/F, 60th Anniversary Chalermprakiat Building, 420/6 Rajvithi Road, Bangkok 10400, Thailand
| | - Audrey Dubot-Pérès
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao Democratic People's Republic; Unité des Virus Émergents (UVE: Aix-Marseille Univ - IRD 190 - Inserm 1207 - IHU Méditerranée Infection), Marseille, France; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Churchill Hospital, Oxford, United Kingdom
| | - Nicole Zitzmann
- Institute of Glycobiology, Department of Biochemistry, South Parks Road, Oxford OX1 3RQ, United Kingdom
| |
Collapse
|
40
|
Deutsch EW, Lane L, Overall CM, Bandeira N, Baker MS, Pineau C, Moritz RL, Corrales F, Orchard S, Van Eyk JE, Paik YK, Weintraub ST, Vandenbrouck Y, Omenn GS. Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0. J Proteome Res 2019; 18:4108-4116. [PMID: 31599596 DOI: 10.1021/acs.jproteome.9b00542] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The Human Proteome Organization's (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year. The revised 3.0 guidelines address several major and minor identified gaps. We have added guidelines for emerging data independent acquisition (DIA) MS workflows and for use of the new Universal Spectrum Identifier (USI) system being developed by the HUPO Proteomics Standards Initiative (PSI). In addition, we discuss updates to the standard HPP pipeline for collecting MS evidence for all proteins in the HPP, including refinements to minimum evidence. We present a new plan for incorporating MassIVE-KB into the HPP pipeline for the next (HPP 2020) cycle in order to obtain more comprehensive coverage of public MS data sets. The main checklist has been reorganized under headings and subitems, and related guidelines have been grouped. In sum, Version 2.1 of the HPP MS Data Interpretation Guidelines has served well, and this timely update to version 3.0 will aid the HPP as it approaches its goal of collecting and curating MS evidence of translation and expression for all predicted ∼20 000 human proteins encoded by the human genome.
Collapse
Affiliation(s)
- Eric W Deutsch
- Institute for Systems Biology , Seattle , Washington 98109 , United States
| | - Lydie Lane
- SIB Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, Faculty of Medicine , University of Geneva , CMU, Michel Servet 1 , 1211 Geneva 4 , Switzerland
| | - Christopher M Overall
- Centre for Blood Research, Departments of Oral Biological & Medical Sciences, and Biochemistry & Molecular Biology, Faculty of Dentistry , The University of British Columbia , Vancouver , BC V6T 1Z4 , Canada
| | - Nuno Bandeira
- Center for Computational Mass Spectrometry and Department of Computer Science and Engineering, Skaggs School of Pharmacy and Pharmaceutical Sciences , University of California San Diego , La Jolla , California 92093 , United States
| | - Mark S Baker
- Department of Biomedical Sciences, Faculty of Medicine and Health Science , Macquarie University , Macquarie Park , NSW 2109 , Australia
| | - Charles Pineau
- Univ. Rennes , Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085 , F-35042 Rennes cedex , France
| | - Robert L Moritz
- Institute for Systems Biology , Seattle , Washington 98109 , United States
| | - Fernando Corrales
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología , Spanish Research Council , ProteoRed-.ISCIII , Madrid 117 , Spain
| | - Sandra Orchard
- European Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , U.K
| | - Jennifer E Van Eyk
- Advanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Department of Medicine , Cedars Sinai Medical Center , Los Angeles , California 90048 , United States
| | - Young-Ki Paik
- Yonsei Proteome Research Center , Yonsei University , 50 Yonsei-ro , Sudaemoon-ku , Seoul 03720 , Korea
| | - Susan T Weintraub
- The University of Texas Health Science Center at San Antonio , San Antonio , Texas 78229 , United States
| | - Yves Vandenbrouck
- Univ. Grenoble Alpes , CEA, INSERM, IRIG-BGE, U1038 , F-38000 Grenoble , France
| | - Gilbert S Omenn
- Institute for Systems Biology , Seattle , Washington 98109 , United States.,Departments of Computational Medicine & Bioinformatics, Internal Medicine, and Human Genetics and School of Public Health , University of Michigan , Ann Arbor , Michigan 48109-2218 , United States
| |
Collapse
|
41
|
Paik YK, Overall CM, Corrales F, Deutsch EW, Lane L, Omenn GS. Toward Completion of the Human Proteome Parts List: Progress Uncovering Proteins That Are Missing or Have Unknown Function and Developing Analytical Methods. J Proteome Res 2019; 17:4023-4030. [PMID: 30985145 PMCID: PMC6288998 DOI: 10.1021/acs.jproteome.8b00885] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Young-Ki Paik
- Yonsei Proteome Research Center, College of Life Science and Technology, Yonsei University
| | - Christopher M Overall
- Centre for Blood Research, Departments of Oral Biological & Medical Sciences and Biochemistry & Molecular Biology, Faculty of Dentistry, University of British Columbia
| | - Fernando Corrales
- Functional Proteomics Laboratory National Center of Biotechnology, CSIC
| | | | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, Faculty of Medicine, CMU, University of Geneva
| | - Gilbert S Omenn
- Institute for Systems Biology, Departments of Computational Medicine & Bioinformatics, Internal Medicine, and Human Genetics & School of Public Health, University of Michigan
| |
Collapse
|
42
|
Bell PA, Solis N, Kizhakkedathu JN, Matthew I, Overall CM. Proteomic and N-Terminomic TAILS Analyses of Human Alveolar Bone Proteins: Improved Protein Extraction Methodology and LysargiNase Digestion Strategies Increase Proteome Coverage and Missing Protein Identification. J Proteome Res 2019; 18:4167-4179. [DOI: 10.1021/acs.jproteome.9b00445] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
|
43
|
Levitsky LI, Kliuchnikova AA, Kuznetsova KG, Karpov DS, Ivanov MV, Pyatnitskiy MA, Kalinina OV, Gorshkov MV, Moshkovskii SA. Adenosine-to-Inosine RNA Editing in Mouse and Human Brain Proteomes. Proteomics 2019; 19:e1900195. [PMID: 31576663 DOI: 10.1002/pmic.201900195] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 09/25/2019] [Indexed: 12/30/2022]
Abstract
Proteogenomics is based on the use of customized genome or RNA sequencing databases for interrogation of shotgun proteomics data in search for proteome-level evidence of genome variations or RNA editing. In this work, the products of adenosine-to-inosine RNA editing in human and murine brain proteomes are identified using publicly available brain proteome LC-MS/MS datasets and an RNA editome database compiled from several sources. After filtering of false-positive results, 20 and 37 sites of editing in proteins belonging to 14 and 32 genes are identified for murine and human brain proteomes, respectively. Eight sites of editing identified with high spectral counts overlapped between human and mouse brain samples. Some of these sites have been previously reported using orthogonal methods, such as α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) glutamate receptors, CYFIP2, coatomer alpha. Also, differential editing between neurons and microglia is demonstrated in this work for some of the proteins from primary murine brain cell cultures. Because many edited sites are still not characterized functionally at the protein level, the results provide a necessary background for their further analysis in normal and diseased cells and tissues using targeted proteomic approaches.
Collapse
Affiliation(s)
- Lev I Levitsky
- V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center of Chemical Physics, Russian Academy of Sciences, Moscow, 119991, Russia
| | - Anna A Kliuchnikova
- Institute of Biomedical Chemistry, 10 Pogodinskaya st., Moscow, 119121, Russia.,Department of Biochemistry, Pirogov Russian National Research Medical University, 1 Ostrovityanova st., Moscow, 117997, Russia
| | - Ksenia G Kuznetsova
- Institute of Biomedical Chemistry, 10 Pogodinskaya st., Moscow, 119121, Russia
| | - Dmitry S Karpov
- Institute of Biomedical Chemistry, 10 Pogodinskaya st., Moscow, 119121, Russia.,Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russia
| | - Mark V Ivanov
- V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center of Chemical Physics, Russian Academy of Sciences, Moscow, 119991, Russia
| | - Mikhail A Pyatnitskiy
- Institute of Biomedical Chemistry, 10 Pogodinskaya st., Moscow, 119121, Russia.,Onco Genotest LLC, Moscow, 125047, Russia.,Department of Technologies for Complex System Modelling, National Research University Higher School of Economics, Moscow, 101000, Russia
| | - Olga V Kalinina
- Helmholtz Institute for Pharmaceutical Research Saarland, Helmholtz Centre for Infection Research, Saarbrücken, 66123, Germany.,Medical Faculty, Saarland University, Kirrberger Straße, Homburg, 66421, Germany
| | - Mikhail V Gorshkov
- V. L. Talrose Institute for Energy Problems of Chemical Physics, N. N. Semenov Federal Research Center of Chemical Physics, Russian Academy of Sciences, Moscow, 119991, Russia.,Moscow Institute of Physics and Technology (State University), Dolgoprudny, 141700, Moscow Region, Russia
| | - Sergei A Moshkovskii
- Institute of Biomedical Chemistry, 10 Pogodinskaya st., Moscow, 119121, Russia.,Department of Biochemistry, Pirogov Russian National Research Medical University, 1 Ostrovityanova st., Moscow, 117997, Russia
| |
Collapse
|
44
|
Bioinformatics to Tackle the Biological Meaning of Human Cerebrospinal Fluid Proteome. Methods Mol Biol 2019. [PMID: 31432428 DOI: 10.1007/978-1-4939-9706-0_26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Cerebrospinal fluid (CSF) is a source of valuable information concerning brain disorders. The technical advances of high-throughput omics platforms to analyze body fluids can generate a huge amount of data, whose translation to biological meaning is a challenge. Several bioinformatic tools have emerged to help handling this data into systems biology comprehensively. Herein, we describe a step-by-step tutorial for CSF proteome data analysis in the set of neurodegenerative diseases using (1) ClueGO+CluePedia tool to perform cluster-based analysis envisioning the characterization of the biological processes dysregulated in neurodegenerative diseases including Alzheimer's and Parkinson's diseases; (2) Cytoscape to map disease-specific proteins; (3) SecretomeP to inquire the secretion pathway of CSF proteins; and (4) STRING to identify biological processes modulated by secreted CSF proteins based on protein-protein interaction analysis. This step-by-step guide might help researchers to better characterize disease pathogenesis and to identify putative disease biomarkers.
Collapse
|
45
|
Essential Features and Use Cases of the Cerebrospinal Fluid Proteome Resource (CSF-PR). Methods Mol Biol 2019. [PMID: 31432427 DOI: 10.1007/978-1-4939-9706-0_25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Every year, a large number of published studies present biomarkers for various neurological disorders. Many of these studies are based on mass spectrometry proteomics data and describe comparison of the abundance of proteins in cerebrospinal fluid between two or more disease groups. As the number of such studies is growing, it is no longer straightforward to obtain an overview of which specific proteins are increased or decreased between the numerous relevant diseases and their many subcategories, or to see the larger picture or trends between related diseases. To alleviate this situation, we therefore mined the literature for mass spectrometry-based proteomics studies including quantitative protein data from cerebrospinal fluid of patients with multiple sclerosis, Alzheimer's disease, and Parkinson's disease and organized the extracted data in the Cerebrospinal Fluid Proteome Resource (CSF-PR). CSF-PR is freely available online at http://probe.uib.no/csf-pr , is highly interactive, and allows for easy navigation, visualization, and export of the published scientific data. This chapter will guide the user through some of the most important features of the tool and show examples of the suggested use cases.
Collapse
|
46
|
Hedl TJ, San Gil R, Cheng F, Rayner SL, Davidson JM, De Luca A, Villalva MD, Ecroyd H, Walker AK, Lee A. Proteomics Approaches for Biomarker and Drug Target Discovery in ALS and FTD. Front Neurosci 2019; 13:548. [PMID: 31244593 PMCID: PMC6579929 DOI: 10.3389/fnins.2019.00548] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 05/13/2019] [Indexed: 12/11/2022] Open
Abstract
Neurodegenerative disorders such as amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are increasing in prevalence but lack targeted therapeutics. Although the pathological mechanisms behind these diseases remain unclear, both ALS and FTD are characterized pathologically by aberrant protein aggregation and inclusion formation within neurons, which correlates with neurodegeneration. Notably, aggregation of several key proteins, including TAR DNA binding protein of 43 kDa (TDP-43), superoxide dismutase 1 (SOD1), and tau, have been implicated in these diseases. Proteomics methods are being increasingly applied to better understand disease-related mechanisms and to identify biomarkers of disease, using model systems as well as human samples. Proteomics-based approaches offer unbiased, high-throughput, and quantitative results with numerous applications for investigating proteins of interest. Here, we review recent advances in the understanding of ALS and FTD pathophysiology obtained using proteomics approaches, and we assess technical and experimental limitations. We compare findings from various mass spectrometry (MS) approaches including quantitative proteomics methods such as stable isotope labeling by amino acids in cell culture (SILAC) and tandem mass tagging (TMT) to approaches such as label-free quantitation (LFQ) and sequential windowed acquisition of all theoretical fragment ion mass spectra (SWATH-MS) in studies of ALS and FTD. Similarly, we describe disease-related protein-protein interaction (PPI) studies using approaches including immunoprecipitation mass spectrometry (IP-MS) and proximity-dependent biotin identification (BioID) and discuss future application of new techniques including proximity-dependent ascorbic acid peroxidase labeling (APEX), and biotinylation by antibody recognition (BAR). Furthermore, we explore the use of MS to detect post-translational modifications (PTMs), such as ubiquitination and phosphorylation, of disease-relevant proteins in ALS and FTD. We also discuss upstream technologies that enable enrichment of proteins of interest, highlighting the contributions of new techniques to isolate disease-relevant protein inclusions including flow cytometric analysis of inclusions and trafficking (FloIT). These recently developed approaches, as well as related advances yet to be applied to studies of these neurodegenerative diseases, offer numerous opportunities for discovery of potential therapeutic targets and biomarkers for ALS and FTD.
Collapse
Affiliation(s)
- Thomas J Hedl
- Neurodegeneration Pathobiology Laboratory, Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - Rebecca San Gil
- Neurodegeneration Pathobiology Laboratory, Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - Flora Cheng
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Stephanie L Rayner
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Jennilee M Davidson
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Alana De Luca
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Maria D Villalva
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Heath Ecroyd
- School of Chemistry and Molecular Bioscience, University of Wollongong, Wollongong, NSW, Australia.,Illawarra Health and Medical Research Institute, Wollongong, NSW, Australia
| | - Adam K Walker
- Neurodegeneration Pathobiology Laboratory, Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia.,Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Albert Lee
- Centre for Motor Neuron Disease Research, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, North Ryde, NSW, Australia
| |
Collapse
|
47
|
Huffman RG, Chen A, Specht H, Slavov N. DO-MS: Data-Driven Optimization of Mass Spectrometry Methods. J Proteome Res 2019; 18:2493-2500. [PMID: 31081635 DOI: 10.1021/acs.jproteome.9b00039] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The performance of ultrasensitive liquid chromatography and tandem mass spectrometry (LC-MS/MS) methods, such as single-cell proteomics by mass spectrometry (SCoPE-MS), depends on multiple interdependent parameters. This interdependence makes it challenging to specifically pinpoint the sources of problems in the LC-MS/MS methods and approaches for resolving them. For example, a low signal at the MS2 level can be due to poor LC separation, ionization, apex targeting, ion transfer, or ion detection. We sought to specifically diagnose such problems by interactively visualizing data from all levels of bottom-up LC-MS/MS analysis. Many software packages, such as MaxQuant, already provide such data, and we developed an open source platform for their interactive visualization and analysis: Data-driven Optimization of MS (DO-MS). We found that in many cases DO-MS not only specifically diagnosed LC-MS/MS problems but also enabled us to rationally optimize them. For example, by using DO-MS to optimize the sampling of the elution peak apexes, we increased ion accumulation times and apex sampling, which resulted in a 370% more efficient delivery of ions for MS2 analysis. DO-MS is easy to install and use, and its GUI allows for interactive data subsetting and high-quality figure generation. The modular design of DO-MS facilitates customization and expansion. DO-MS v1.0.8 is available for download from GitHub: https://github.com/SlavovLab/DO-MS . Additional documentation is available at https://do-ms.slavovlab.net .
Collapse
Affiliation(s)
- R Gray Huffman
- Department of Bioengineering , Northeastern University , Boston , Massachusetts 02115 , United States.,Barnett Institute , Northeastern University , Boston , Massachusetts 02115 , United States
| | - Albert Chen
- Department of Bioengineering , Northeastern University , Boston , Massachusetts 02115 , United States.,Barnett Institute , Northeastern University , Boston , Massachusetts 02115 , United States
| | - Harrison Specht
- Department of Bioengineering , Northeastern University , Boston , Massachusetts 02115 , United States.,Barnett Institute , Northeastern University , Boston , Massachusetts 02115 , United States
| | - Nikolai Slavov
- Department of Bioengineering , Northeastern University , Boston , Massachusetts 02115 , United States.,Barnett Institute , Northeastern University , Boston , Massachusetts 02115 , United States.,Department of Biology , Northeastern University , Boston , Massachusetts 02115 , United States
| |
Collapse
|
48
|
Dayon L, Cominetti O, Wojcik J, Galindo AN, Oikonomidi A, Henry H, Migliavacca E, Kussmann M, Bowman GL, Popp J. Proteomes of Paired Human Cerebrospinal Fluid and Plasma: Relation to Blood–Brain Barrier Permeability in Older Adults. J Proteome Res 2019; 18:1162-1174. [DOI: 10.1021/acs.jproteome.8b00809] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Loïc Dayon
- Nestlé Institute of Health Sciences, 1015 Lausanne, Switzerland
| | | | | | | | | | - Hugues Henry
- Department of Laboratories, CHUV, 1011 Lausanne, Switzerland
| | | | - Martin Kussmann
- Nestlé Institute of Health Sciences, 1015 Lausanne, Switzerland
| | - Gene L. Bowman
- Nestlé Institute of Health Sciences, 1015 Lausanne, Switzerland
| | - Julius Popp
- Old Age Psychiatry, Department of Psychiatry, CHUV, 1011 Lausanne, Switzerland
- Geriatric Psychiatry, Department of Mental Health and Psychiatry, HUG, 1226 Geneva, Switzerland
| |
Collapse
|
49
|
Fernández-Irigoyen J, Corrales F, Santamaría E. The Human Brain Proteome Project: Biological and Technological Challenges. Methods Mol Biol 2019; 2044:3-23. [PMID: 31432403 DOI: 10.1007/978-1-4939-9706-0_1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
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.
Collapse
Affiliation(s)
- Joaquín Fernández-Irigoyen
- Proteomics Unit, Clinical Neuroproteomics Laboratory, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Proteored-ISCIII, Pamplona, Spain
| | - Fernando Corrales
- Functional Proteomics Laboratory,, Proteored-ISCIII, CIBERehd, Madrid, Spain
| | - Enrique Santamaría
- Proteomics Unit, Clinical Neuroproteomics Laboratory, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Proteored-ISCIII, Pamplona, Spain.
| |
Collapse
|
50
|
González-Morales A, Lachén-Montes M, Fernández-Irigoyen J, Santamaría E. Monitoring the Cerebrospinal Fluid Cytokine Profile Using Membrane-Based Antibody Arrays. Methods Mol Biol 2019; 2044:233-246. [PMID: 31432416 DOI: 10.1007/978-1-4939-9706-0_14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
The brain is the most complex organ of the human body, and the study of the different diseases and injuries that affect it is far behind the ones that affect other organs. Some of these pathologies such as neurodegenerative diseases, physical injuries, and cancer present an important alteration in its inflammatory component, which affects their outcome in a positive or negative way. For this reason, it is important to characterize the joint expression of the cytokines and growth factors (GF) that are part of this inflammatory component. The cerebrospinal fluid (CSF) is in direct contact with the brain and spinal cord, being the best biofluid to study the cytokine and GF secretion patterns of these conditions. Currently, the proteomic workflows based on mass spectrometry (MS) are unable to easily detect these proteins in CSF. In this chapter, we describe a method based on cytokine membrane arrays to characterize, in a straightforward way, the secretion profile of different cytokines and GF at once in CSF.
Collapse
Affiliation(s)
- Andrea González-Morales
- Proteomics Unit, Clinical Neuroproteomics Laboratory, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Proteored-ISCIII, Pamplona, Spain
| | - Mercedes Lachén-Montes
- Proteomics Unit, Clinical Neuroproteomics Laboratory, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Proteored-ISCIII, Pamplona, Spain
| | - Joaquín Fernández-Irigoyen
- Proteomics Unit, Clinical Neuroproteomics Laboratory, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Proteored-ISCIII, Pamplona, Spain
| | - Enrique Santamaría
- Proteomics Unit, Clinical Neuroproteomics Laboratory, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Proteored-ISCIII, Pamplona, Spain.
| |
Collapse
|