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Hao X, Cheng S, Jiang B, Xin S. Applying multi-omics techniques to the discovery of biomarkers for acute aortic dissection. Front Cardiovasc Med 2022; 9:961991. [PMID: 36588568 PMCID: PMC9797526 DOI: 10.3389/fcvm.2022.961991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
Acute aortic dissection (AAD) is a cardiovascular disease that manifests suddenly and fatally. Due to the lack of specific early symptoms, many patients with AAD are often overlooked or misdiagnosed, which is undoubtedly catastrophic for patients. The particular pathogenic mechanism of AAD is yet unknown, which makes clinical pharmacological therapy extremely difficult. Therefore, it is necessary and crucial to find and employ unique biomarkers for Acute aortic dissection (AAD) as soon as possible in clinical practice and research. This will aid in the early detection of AAD and give clear guidelines for the creation of focused treatment agents. This goal has been made attainable over the past 20 years by the quick advancement of omics technologies and the development of high-throughput tissue specimen biomarker screening. The primary histology data support and add to one another to create a more thorough and three-dimensional picture of the disease. Based on the introduction of the main histology technologies, in this review, we summarize the current situation and most recent developments in the application of multi-omics technologies to AAD biomarker discovery and emphasize the significance of concentrating on integration concepts for integrating multi-omics data. In this context, we seek to offer fresh concepts and recommendations for fundamental investigation, perspective innovation, and therapeutic development in AAD.
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Affiliation(s)
- Xinyu Hao
- Department of Vascular Surgery, The First Affiliated Hospital of China Medical University, China Medical University, Shenyang, China,Key Laboratory of Pathogenesis, Prevention and Therapeutics of Aortic Aneurysm, Shenyang, Liaoning, China
| | - Shuai Cheng
- Department of Vascular Surgery, The First Affiliated Hospital of China Medical University, China Medical University, Shenyang, China,Key Laboratory of Pathogenesis, Prevention and Therapeutics of Aortic Aneurysm, Shenyang, Liaoning, China
| | - Bo Jiang
- Department of Vascular Surgery, The First Affiliated Hospital of China Medical University, China Medical University, Shenyang, China,Key Laboratory of Pathogenesis, Prevention and Therapeutics of Aortic Aneurysm, Shenyang, Liaoning, China
| | - Shijie Xin
- Department of Vascular Surgery, The First Affiliated Hospital of China Medical University, China Medical University, Shenyang, China,Key Laboratory of Pathogenesis, Prevention and Therapeutics of Aortic Aneurysm, Shenyang, Liaoning, China,*Correspondence: Shijie Xin,
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2
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Ponzini E, Santambrogio C, De Palma A, Mauri P, Tavazzi S, Grandori R. Mass spectrometry-based tear proteomics for noninvasive biomarker discovery. MASS SPECTROMETRY REVIEWS 2022; 41:842-860. [PMID: 33759206 PMCID: PMC9543345 DOI: 10.1002/mas.21691] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 02/16/2021] [Accepted: 03/03/2021] [Indexed: 05/05/2023]
Abstract
The lacrimal film has attracted increasing interest in the last decades as a potential source of biomarkers of physiopathological states, due to its accessibility, moderate complexity, and responsiveness to ocular and systemic diseases. High-performance liquid chromatography-mass spectrometry (LC-MS) has led to effective approaches to tear proteomics, despite the intrinsic limitations in sample amounts. This review focuses on the recent progress in strategy and technology, with an emphasis on the potential for personalized medicine. After an introduction on lacrimal-film composition, examples of applications to biomarker discovery are discussed, comparing approaches based on pooled-sample and single-tear analysis. Then, the most critical steps of the experimental pipeline, that is, tear collection, sample fractionation, and LC-MS implementation, are discussed with reference to proteome-coverage optimization. Advantages and challenges of the alternative procedures are highlighted. Despite the still limited number of studies, tear quantitative proteomics, including single-tear investigation, could offer unique contributions to the identification of low-invasiveness, sustained-accessibility biomarkers, and to the development of personalized approaches to therapy and diagnosis.
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Affiliation(s)
- Erika Ponzini
- Materials Science DepartmentUniversity of Milano‐BicoccaMilanItaly
| | - Carlo Santambrogio
- Department of Biotechnology and BiosciencesUniversity of Milano‐BicoccaMilanItaly
| | - Antonella De Palma
- Institute for Biomedical TechnologiesNational Research Council (ITB‐CNR)Segrate (MI)Italy
| | - Pierluigi Mauri
- Institute for Biomedical TechnologiesNational Research Council (ITB‐CNR)Segrate (MI)Italy
| | - Silvia Tavazzi
- Materials Science DepartmentUniversity of Milano‐BicoccaMilanItaly
- COMiBUniversity of Milano‐BicoccaMilanItaly
| | - Rita Grandori
- Department of Biotechnology and BiosciencesUniversity of Milano‐BicoccaMilanItaly
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3
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Cifani P, Kentsis A. Automated Multidimensional Nanoscale Chromatography for Ultrasensitive Targeted Mass Spectrometry. Methods Mol Biol 2022; 2393:207-224. [PMID: 34837181 PMCID: PMC10320743 DOI: 10.1007/978-1-0716-1803-5_11] [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] [Indexed: 06/13/2023]
Abstract
Recent advances in nanoscale separations and high-resolution mass spectrometry permit highly sensitive and accurate analyses of complex protein mixtures. Here, we describe improved methods for nanoscale multidimensional chromatography coupled to targeted mass spectrometry (tMS) to achieve ultrasensitive quantification of peptides in complex proteomes. The presented chromatographic system consists of capillary strong-cation exchange (SCX) chromatography column, from which peptides are eluted directly onto high-resolution reversed-phase (RP) analytical columns and nanoelectrospray ion source. SCX prefractionation is used to separate phosphorylated peptides, permitting their ultrasensitive quantification. Resolution and robustness of this chromatographic system, together with the orthogonality of SCX and RP separations, permit scheduling of large panels of targeted MS assays. This design also enables seamless scaling to three-dimensional separations, thereby enabling large-scale, ultrasensitive quantitative proteomics.
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Affiliation(s)
- Paolo Cifani
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alex Kentsis
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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4
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Bickner AN, Champion MM, Hummon AB, Bruening ML. Electroblotting through a tryptic membrane for LC-MS/MS analysis of proteins separated in electrophoretic gels. Analyst 2021; 145:7724-7735. [PMID: 33000802 DOI: 10.1039/d0an01380c] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Digestion of proteins separated via sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) remains a popular method for protein identification using mass-spectrometry based proteomics. Although robust and routine, the in-gel digestion procedure is laborious and time-consuming. Electroblotting to a capture membrane prior to digestion reduces preparation steps but requires on-membrane digestion that yields fewer peptides than in-gel digestion. This paper develops direct electroblotting through a trypsin-containing membrane to a capture membrane to simplify extraction and digestion of proteins separated by SDS-PAGE. Subsequent liquid chromatography-tandem mass spectrometry (LC-MS/MS) identifies the extracted peptides. Analysis of peptides from different capture membrane pieces shows that electrodigestion does not greatly disturb the spatial resolution of a standard protein mixture separated by SDS-PAGE. Electrodigestion of an Escherichia coli (E. coli) cell lysate requires four hours of total sample preparation and results in only 13% fewer protein identifications than in-gel digestion, which can take 24 h. Compared to simple electroblotting and protein digestion on a poly(vinylidene difluoride) (PVDF) capture membrane, adding a trypsin membrane to the electroblot increases the number of protein identifications by 22%. Additionally, electrodigestion experiments using capture membranes coated with polyelectrolyte layers identify a higher fraction of small proteolytic peptides than capture on PVDF or in-gel digestion.
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Affiliation(s)
- A N Bickner
- Department of Chemistry and Biochemistry University of Notre Dame, Notre Dame, Indiana 46556, USA.
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5
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Dor M, Eperon S, Lalive PH, Guex-Crosier Y, Hamedani M, Salvisberg C, Turck N. Investigation of the global protein content from healthy human tears. Exp Eye Res 2019; 179:64-74. [DOI: 10.1016/j.exer.2018.10.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 09/01/2018] [Accepted: 10/11/2018] [Indexed: 01/03/2023]
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6
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Cifani P, Kentsis A. Towards comprehensive and quantitative proteomics for diagnosis and therapy of human disease. Proteomics 2016; 17. [PMID: 27775219 DOI: 10.1002/pmic.201600079] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 10/06/2016] [Accepted: 10/21/2016] [Indexed: 12/21/2022]
Abstract
Given superior analytical features, MS proteomics is well suited for the basic investigation and clinical diagnosis of human disease. Modern MS enables detailed functional characterization of the pathogenic biochemical processes, as achieved by accurate and comprehensive quantification of proteins and their regulatory chemical modifications. Here, we describe how high-accuracy MS in combination with high-resolution chromatographic separations can be leveraged to meet these analytical requirements in a mechanism-focused manner. We review the quantification methods capable of producing accurate measurements of protein abundance and posttranslational modification stoichiometries. We then discuss how experimental design and chromatographic resolution can be leveraged to achieve comprehensive functional characterization of biochemical processes in complex biological proteomes. Finally, we describe current approaches for quantitative analysis of a common functional protein modification: reversible phosphorylation. In all, current instrumentation and methods of high-resolution chromatography and MS proteomics are poised for immediate translation into improved diagnostic strategies for pediatric and adult diseases.
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Affiliation(s)
- Paolo Cifani
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alex Kentsis
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Pediatrics, Weill Cornell College of Cornell University and Memorial Sloan Kettering Cancer Center, New York, NY, USA
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7
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A Simplified Workflow for Protein Quantitation of Rat Brain Tissues Using Label-Free Proteomics and Spectral Counting. Methods Mol Biol 2016. [PMID: 27604744 DOI: 10.1007/978-1-4939-3816-2_36] [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
Mass spectrometry-based proteomics is an increasingly valuable tool for determining relative or quantitative protein abundance in brain tissues. A plethora of technical and analytical methods are available, but straightforward and practical approaches are often needed to facilitate reproducibility. This aspect is particularly important as an increasing number of studies focus on models of traumatic brain injury or brain trauma, for which brain tissue proteomes have not yet been fully described. This text provides suggested techniques for robust identification and quantitation of brain proteins by using molecular weight fractionation prior to mass spectrometry-based proteomics. Detailed sample preparation and generalized protocols for chromatography, mass spectrometry, spectral counting, and normalization are described. The rat cerebral cortex isolated from a model of blast-overpressure was used as an exemplary source of brain tissue. However, these techniques may be adapted for lysates generated from several types of cells or tissues and adapted by the end user.
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8
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Waldemarson S, Kurbasic E, Krogh M, Cifani P, Berggård T, Borg Å, James P. Proteomic analysis of breast tumors confirms the mRNA intrinsic molecular subtypes using different classifiers: a large-scale analysis of fresh frozen tissue samples. Breast Cancer Res 2016; 18:69. [PMID: 27357824 PMCID: PMC4928264 DOI: 10.1186/s13058-016-0732-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Accepted: 06/19/2016] [Indexed: 12/11/2022] Open
Abstract
Background Breast cancer is a complex and heterogeneous disease that is usually characterized by histological parameters such as tumor size, cellular arrangements/rearrangments, necrosis, nuclear grade and the mitotic index, leading to a set of around twenty subtypes. Together with clinical markers such as hormone receptor status, this classification has considerable prognostic value but there is a large variation in patient response to therapy. Gene expression profiling has provided molecular profiles characteristic of distinct subtypes of breast cancer that reflect the divergent cellular origins and degree of progression. Methods Here we present a large-scale proteomic and transcriptomic profiling study of 477 sporadic and hereditary breast cancer tumors with matching mRNA expression analysis. Unsupervised hierarchal clustering was performed and selected proteins from large-scale tandem mass spectrometry (MS/MS) analysis were transferred into a highly multiplexed targeted selected reaction monitoring assay to classify tumors using a hierarchal cluster and support vector machine with leave one out cross-validation. Results The subgroups formed upon unsupervised clustering agree very well with groups found at transcriptional level; however, the classifiers (genes or their respective protein products) differ almost entirely between the two datasets. In-depth analysis shows clear differences in pathways unique to each type, which may lie behind their different clinical outcomes. Targeted mass spectrometry analysis and supervised clustering correlate very well with subgroups determined by RNA classification and show convincing agreement with clinical parameters. Conclusions This work demonstrates the merits of protein expression profiling for breast cancer stratification. These findings have important implications for the use of genomics and expression analysis for the prediction of protein expression, such as receptor status and drug target expression. The highly multiplexed MS assay is easily implemented in standard clinical chemistry practice, allowing rapid and cheap characterization of tumor tissue suitable for directing the choice of treatment. Electronic supplementary material The online version of this article (doi:10.1186/s13058-016-0732-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Sofia Waldemarson
- Department of Immunotechnology, Lund University, Medicon Village, 223 81, Lund, Sweden
| | - Emila Kurbasic
- Department of Immunotechnology, Lund University, Medicon Village, 223 81, Lund, Sweden
| | - Morten Krogh
- Amber Biosciences AB, Skrivarevägen 9, 226 57, Lund, Sweden
| | - Paolo Cifani
- Department of Immunotechnology, Lund University, Medicon Village, 223 81, Lund, Sweden
| | | | - Åke Borg
- Department of Oncology, Lund University, Medicon Village, 223 81, Lund, Sweden
| | - Peter James
- Department of Immunotechnology, Lund University, Medicon Village, 223 81, Lund, Sweden. .,Turku Centre for Biotechnology, Åbo Akademi University, University of Turku Biocity, Tykistokatu 6, 20520, Turku, Finland.
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Cifani P, Kirik U, Waldemarson S, James P. Molecular Portrait of Breast-Cancer-Derived Cell Lines Reveals Poor Similarity with Tumors. J Proteome Res 2015; 14:2819-27. [PMID: 26055192 DOI: 10.1021/acs.jproteome.5b00375] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Breast-cancer-derived cell lines are an important sample source for cancer proteomics and can be classified on the basis of transcriptomic analysis into subgroups corresponding to the molecular subtypes observed in mammary tumors. This study describes a tridimensional fractionation method that allows high sequence coverage and proteome-wide estimation of protein expression levels. This workflow has been used to conduct an in-depth quantitative proteomic survey of five breast cancer cell lines matching all major cancer subgroups and shows that despite their different classification, these cell lines display a very high level of similarity. A proteome-wide comparison with the RNA levels observed in the same samples showed very little to no correlation. Finally, we demonstrate that the proteomes of in vitro models of breast cancer display surprisingly little overlap with those of clinical samples.
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Affiliation(s)
- Paolo Cifani
- Department of Immunotechnology, CREATE Health, Lund University, House 406, Medicon Village, 223 81 Lund, Sweden
| | - Ufuk Kirik
- Department of Immunotechnology, CREATE Health, Lund University, House 406, Medicon Village, 223 81 Lund, Sweden
| | - Sofia Waldemarson
- Department of Immunotechnology, CREATE Health, Lund University, House 406, Medicon Village, 223 81 Lund, Sweden
| | - Peter James
- Department of Immunotechnology, CREATE Health, Lund University, House 406, Medicon Village, 223 81 Lund, Sweden
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10
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Mitulović G. New HPLC Techniques for Proteomics Analysis: A Short Overview of Latest Developments. J LIQ CHROMATOGR R T 2014. [DOI: 10.1080/10826076.2014.941266] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Goran Mitulović
- a Clinical Institute of Laboratory Medicine and Proteomics Core Facility , Medical University of Vienna , Wien , Austria
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11
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Rabilloud T, Lescuyer P. Proteomics in mechanistic toxicology: History, concepts, achievements, caveats, and potential. Proteomics 2014; 15:1051-74. [DOI: 10.1002/pmic.201400288] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Revised: 07/25/2014] [Accepted: 08/25/2014] [Indexed: 12/19/2022]
Affiliation(s)
- Thierry Rabilloud
- Laboratory of Chemistry and Biology of Metals; CNRS UMR; 5249 Grenoble France
- Laboratory of Chemistry and Biology of Metals; Université Grenoble Alpes; Grenoble France
- Laboratory of Chemistry and Biology of Metals; CEA Grenoble; iRTSV/CBM; Grenoble France
| | - Pierre Lescuyer
- Department of Human Protein Sciences; Clinical Proteomics and Chemistry Group; Geneva University; Geneva Switzerland
- Toxicology and Therapeutic Drug Monitoring Laboratory; Department of Genetic and Laboratory Medicine; Geneva University Hospitals; Geneva Switzerland
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12
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Moreda-Piñeiro A, García-Otero N, Bermejo-Barrera P. A review on preparative and semi-preparative offgel electrophoresis for multidimensional protein/peptide assessment. Anal Chim Acta 2014; 836:1-17. [PMID: 24974865 DOI: 10.1016/j.aca.2014.04.053] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2013] [Revised: 04/23/2014] [Accepted: 04/27/2014] [Indexed: 11/29/2022]
Abstract
Mass spectrometry (MS) techniques are commonly used for protein identification and further analysis of selected protein spots after high resolution 2-D electrophoresis. Complementary gel-free approaches have been developed during the last few years and have shown to be useful tools in modern proteomics. The development and application of various gel-free electrophoresis devices for performing protein fractionation according to the pI differences is therefore a topic of interest. This review describes the current state of isoelectric focusing (IEF) gel-free electrophoresis based on the Agilent offgel 3100 fractionator. The review includes, therefore, (i) an overview on IEF as well as other previous IEF gel-free electrophoresis developments; (ii) offgel fundamentals and future trends; (iii) advantages and disadvantages of current offgel procedures; (iv) requirements of isolated protein pellets for further offgel fractionation; (v) offgel fraction requirements to perform the second dimensional analysis by advance electrophoresis and chromatographic techniques; and (vi) effect of the offgel operating conditions on the stability of metal-protein complexes.
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Affiliation(s)
- Antonio Moreda-Piñeiro
- Department of Analytical Chemistry, Nutrition and Bromatology, Faculty of Chemistry, University of Santiago de Compostela, Avenida das Ciencias, s/n. 15782 Santiago de Compostela, Spain.
| | - Natalia García-Otero
- Department of Analytical Chemistry, Nutrition and Bromatology, Faculty of Chemistry, University of Santiago de Compostela, Avenida das Ciencias, s/n. 15782 Santiago de Compostela, Spain
| | - Pilar Bermejo-Barrera
- Department of Analytical Chemistry, Nutrition and Bromatology, Faculty of Chemistry, University of Santiago de Compostela, Avenida das Ciencias, s/n. 15782 Santiago de Compostela, Spain
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13
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Paleoproteomics explained to youngsters: how did the wedding of two-dimensional electrophoresis and protein sequencing spark proteomics on: let there be light. J Proteomics 2014; 107:5-12. [PMID: 24657497 DOI: 10.1016/j.jprot.2014.03.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2014] [Revised: 02/26/2014] [Accepted: 03/04/2014] [Indexed: 11/22/2022]
Abstract
UNLABELLED Taking the opportunity of the 20th anniversary of the word "proteomics", this young adult age is a good time to remember how proteomics came from enormous progress in protein separation and protein microanalysis techniques, and from the conjugation of these advances into a high performance and streamlined working setup. However, in the history of the almost three decades that encompass the first attempts to perform large scale analysis of proteins to the current high throughput proteomics that we can enjoy now, it is also interesting to underline and to recall how difficult the first decade was. Indeed when the word was cast, the battle was already won. This recollection is mostly devoted to the almost forgotten period where proteomics was being conceived and put to birth, as this collective scientific work will never appear when searched through the keyword "proteomics". BIOLOGICAL SIGNIFICANCE The significance of this manuscript is to recall and review the two decades that separated the first attempts of performing large scale analysis of proteins from the solid technical corpus that existed when the word "proteomics" was coined twenty years ago. This recollection is made within the scientific historical context of this decade, which also saw the blossoming of DNA cloning and sequencing. This article is part of a Special Issue entitled: 20 years of Proteomics in memory of Viatliano Pallini. Guest Editors: Luca Bini , Juan J. Calvete, Natacha Turck, Denis Hochstrasser and Jean-Charles Sanchez.
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van der Plas-Duivesteijn SJ, Mohammed Y, Dalebout H, Meijer A, Botermans A, Hoogendijk JL, Henneman AA, Deelder AM, Spaink HP, Palmblad M. Identifying proteins in zebrafish embryos using spectral libraries generated from dissected adult organs and tissues. J Proteome Res 2014; 13:1537-44. [PMID: 24460240 DOI: 10.1021/pr4010585] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Spectral libraries provide a sensitive and accurate method for identifying peptides from tandem mass spectra, complementary to searching genome-derived databases or sequencing de novo. Their application requires comprehensive libraries including peptides from low-abundant proteins. Here we describe a method for constructing such libraries using biological differentiation to "fractionate" the proteome by harvesting adult organs and tissues and build comprehensive libraries for identifying proteins in zebrafish (Danio rerio) embryos and larvae (an important and widely used model system). Hierarchical clustering using direct comparison of spectra was used to prioritize organ selection. The resulting and publicly available library covers 14,164 proteins, significantly improved the number of peptide-spectrum matches in zebrafish developmental stages, and can be used on data from different instruments and laboratories. The library contains information on tissue and organ expression of these proteins and is also applicable for adult experiments. The approach itself is not limited to zebrafish but would work for any model system.
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15
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Krey JF, Wilmarth PA, Shin JB, Klimek J, Sherman NE, Jeffery ED, Choi D, David LL, Barr-Gillespie PG. Accurate label-free protein quantitation with high- and low-resolution mass spectrometers. J Proteome Res 2013; 13:1034-1044. [PMID: 24295401 DOI: 10.1021/pr401017h] [Citation(s) in RCA: 106] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Label-free quantitation of proteins analyzed by tandem mass spectrometry uses either integrated peak intensity from the parent-ion mass analysis (MS1) or features from fragment-ion analysis (MS2), such as spectral counts or summed fragment-ion intensity. We directly compared MS1 and MS2 quantitation by analyzing human protein standards diluted into Escherichia coli extracts on an Orbitrap mass spectrometer. We found that summed MS2 intensities were nearly as accurate as integrated MS1 intensities, and both outperformed MS2 spectral counting in accuracy and linearity. We compared these results to those obtained from two low-resolution ion-trap mass spectrometers; summed MS2 intensities from LTQ and LTQ Velos instruments were similar in accuracy to those from the Orbitrap. Data from all three instruments are available via ProteomeXchange with identifier PXD000602. Abundance measurements using MS1 or MS2 intensities had limitations, however. While measured protein concentration was on average well-correlated with the known concentration, there was considerable protein-to-protein variation. Moreover, not all human proteins diluted to a mole fraction of 10(-3) or lower were detected, with a strong falloff below 10(-4) mole fraction. These results show that MS1 and MS2 intensities are simple measures of protein abundance that are on average accurate but should be limited to quantitation of proteins of intermediate to higher fractional abundance.
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Affiliation(s)
- Jocelyn F Krey
- Oregon Hearing Research Center & Vollum Institute, Oregon Health & Science University, Portland, OR
| | - Phillip A Wilmarth
- Department of Biochemistry and Molecular Biology, Oregon Health & Science University, Portland, OR
| | - Jung-Bum Shin
- Oregon Hearing Research Center & Vollum Institute, Oregon Health & Science University, Portland, OR
| | - John Klimek
- Proteomics Shared Resource, Oregon Health & Science University, Portland, OR
| | - Nicholas E Sherman
- W.M. Keck Biomedical Mass Spectrometry Lab, University of Virginia, Charlottesville, VA
| | - Erin D Jeffery
- W.M. Keck Biomedical Mass Spectrometry Lab, University of Virginia, Charlottesville, VA
| | - Dongseok Choi
- Department of Public Health & Preventative Medicine, Oregon Health & Science University, Portland, OR
| | - Larry L David
- Department of Biochemistry and Molecular Biology, Oregon Health & Science University, Portland, OR.,Proteomics Shared Resource, Oregon Health & Science University, Portland, OR
| | - Peter G Barr-Gillespie
- Oregon Hearing Research Center & Vollum Institute, Oregon Health & Science University, Portland, OR
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16
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Mayr M, Rabilloud T. Multidimensional separation prior to mass spectrometry: Getting closer to the bottom of the iceberg. Proteomics 2013; 13:2942-3. [DOI: 10.1002/pmic.201300400] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Accepted: 09/12/2013] [Indexed: 11/09/2022]
Affiliation(s)
- Manuel Mayr
- King's British Heart Foundation Centre; King's College London; London UK
| | - Thierry Rabilloud
- UMR CNRS 5249; Laboratoire de Chimie et Biologie des Métaux; UMR CNRS-CEA-UJF, Grenoble France
- Laboratoire de Chimie et Biologie des Métaux; UMR CNRS-CEA-UJF; Université Joseph Fourier; Grenoble France
- Laboratoire de Chimie et Biologie des Métaux; CEA Grenoble; iRTSV/LCBM; UMR CNRS-CEA-UJF; Grenoble France
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17
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Sample loading influences studies comparing isoelectric focusing vs. strong cation exchange peptide fractionation. J Chromatogr A 2013; 1307:207-8. [DOI: 10.1016/j.chroma.2013.06.080] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2013] [Revised: 06/26/2013] [Accepted: 06/30/2013] [Indexed: 01/28/2023]
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18
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Ferreira R, Rocha H, Almeida V, Padrão AI, Santa C, Vilarinho L, Amado F, Vitorino R. Mitochondria proteome profiling: a comparative analysis between gel- and gel-free approaches. Talanta 2013; 115:277-83. [PMID: 24054592 DOI: 10.1016/j.talanta.2013.04.026] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2012] [Revised: 03/29/2013] [Accepted: 04/08/2013] [Indexed: 12/22/2022]
Abstract
Mitochondrial proteomics emerged aiming to disclose the dynamics of mitochondria under various pathophysiological conditions. In the present study we investigated the relative merits of gel-based (2DE and SDS-LC) and gel-free (2D-LC) protein separation approaches and protein identification algorithms (Mascot and Paragon) in the proteome profiling of mitochondria isolated from cultured fibroblasts, a sample traditionally used for diagnosis purposes. Combining data retrieved from 2DE, 2D-LC and SDS-LC and search methods, a total of 696 non-redundant proteins were identified. An overlap of only 19% between the proteins identified by the three different methods was observed when Mascot and Paragon were used. Regarding protein ID, a consistency in the number of identified proteins per sample was noticed for 2DE approach. Independent of the methodological approach chosen, it was noticed that the predominance in mitochondria of hydrophilic proteins with 20-50 kDa and pI 5-6 and 8-9; however, 2D-LC and SDS-LC allowed the enrichment of proteins with a mass below 30 kDa and of basic proteins with pI values above 8. In conclusion, data from the present study highlight the power of integrating different separation technologies and protein identification algorithms.
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Affiliation(s)
- Rita Ferreira
- QOPNA, Department of Chemistry, University of Aveiro, Aveiro, Portugal
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Millioni R, Franchin C, Tessari P, Polati R, Cecconi D, Arrigoni G. Pros and cons of peptide isolectric focusing in shotgun proteomics. J Chromatogr A 2013; 1293:1-9. [PMID: 23639126 DOI: 10.1016/j.chroma.2013.03.073] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2012] [Revised: 03/27/2013] [Accepted: 03/28/2013] [Indexed: 02/03/2023]
Abstract
In shotgun proteomics, protein mixtures are proteolytically digested before tandem mass spectrometry (MS/MS) analysis. Biological samples are generally characterized by a very high complexity, therefore a step of peptides fractionation before the MS analysis is essential. This passage reduces the sample complexity and increases its compatibility with the sampling performance of the instrument. Among all the existing approaches for peptide fractionation, isoelectric focusing has several peculiarities that are theoretically known but practically rarely exploited by the proteomics community. The main aim of this review is to draw the readers' attention to these unique qualities, which are not accessible with other common approaches, and that represent important tools to increase confidence in the identification of proteins and some post-translational modifications. The general characteristics of different methods to perform peptide isoelectric focusing with natural and artificial pH gradients, the existing instrumentation, and the informatics tools available for isoelectric point calculation are also critically described. Finally, we give some general conclusions on this strategy, underlying its principal limitations.
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Affiliation(s)
- Renato Millioni
- Department of Medicine, University of Padova, Via Giustiniani 2, 35121 Padova, Italy; Proteomics Center of Padova University, VIMM and Padova University Hospital, Via G. Orus 2/B, 35129 Padova, Italy.
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Mostovenko E, Hassan C, Rattke J, Deelder AM, van Veelen PA, Palmblad M. Comparison of peptide and protein fractionation methods in proteomics. EUPA OPEN PROTEOMICS 2013. [DOI: 10.1016/j.euprot.2013.09.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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