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Panda M, Kalita E, Singh S, Rao A, Prajapati VK. Application of functional proteomics in understanding RNA virus-mediated infection. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2023; 138:301-325. [PMID: 38220429 DOI: 10.1016/bs.apcsb.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
Together with the expansion of genome sequencing research, the number of protein sequences whose function is yet unknown is increasing dramatically. The primary goals of functional proteomics, a developing area of study in the realm of proteomic science, are the elucidation of the biological function of unidentified proteins and the molecular description of cellular systems at the molecular level. RNA viruses have emerged as the cause of several human infectious diseases with large morbidity and fatality rates. The introduction of high-throughput sequencing tools and genetic-based screening approaches over the last few decades has enabled researchers to find previously unknown and perplexing elements of RNA virus replication and pathogenesis on a scale never feasible before. Viruses, on the other hand, frequently disrupt cellular proteostasis, macromolecular complex architecture or stoichiometry, and post-translational changes to take over essential host activities. Because of these consequences, structural and global protein and proteoform monitoring is highly necessiated. Mass spectrometry (MS) has the potential to elucidate key details of virus-host interactions and speed up the identification of antiviral targets, giving precise data on the stoichiometry of cellular and viral protein complexes as well as mechanistic insights, has lately emerged as a key part of the RNA virus biology toolbox as a functional proteomics approach. Affinity-based techniques are primarily employed to identify interacting proteins in stable complexes in living organisms. A protein's biological role is strongly suggested by its relationship with other members of a certain protein complex that is involved in a particular process. With a particular emphasis on the most recent advancements in defining host responses and their translational implications to uncover novel tractable antiviral targets, this chapter provides insight on several functional proteomics techniques in RNA virus biology.
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Affiliation(s)
- Mamta Panda
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India; Department of Neurology. Experimental Research in Stroke and Inflammation (ERSI),University Medical Center Hamburg-Eppendorf Martinistraße Hamburg, Germany
| | - Elora Kalita
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India
| | - Satyendra Singh
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India
| | - Abhishek Rao
- Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Ajmer, Rajasthan, India
| | - Vijay Kumar Prajapati
- Department of Biochemistry, University of Delhi South Campus, Dhaula Kuan, New Delhi, India.
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Strotmann VI, Stahl Y. Visualization of in vivo protein-protein interactions in plants. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:3866-3880. [PMID: 35394544 PMCID: PMC9232200 DOI: 10.1093/jxb/erac139] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 04/01/2022] [Indexed: 06/14/2023]
Abstract
Molecular processes depend on the concerted and dynamic interactions of proteins, either by one-on-one interactions of the same or different proteins or by the assembly of larger protein complexes consisting of many different proteins. Here, not only the protein-protein interaction (PPI) itself, but also the localization and activity of the protein of interest (POI) within the cell is essential. Therefore, in all cell biological experiments, preserving the spatio-temporal state of one POI relative to another is key to understanding the underlying complex and dynamic regulatory mechanisms in vivo. In this review, we examine some of the applicable techniques to measure PPIs in planta as well as recent combinatorial advances of PPI methods to measure the formation of higher order complexes with an emphasis on in vivo imaging techniques. We compare the different methods and discuss their benefits and potential pitfalls to facilitate the selection of appropriate techniques by providing a comprehensive overview of how to measure in vivo PPIs in plants.
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Affiliation(s)
- Vivien I Strotmann
- Institute for Developmental Genetics, Heinrich-Heine University, Universitätsstr. 1, D-40225 Düsseldorf, Germany
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Zhu T, Wang SH, Li D, Wang SY, Liu X, Song J, Wang YT, Zhang SY. Progress of tubulin polymerization activity detection methods. Bioorg Med Chem Lett 2021; 37:127698. [PMID: 33468346 DOI: 10.1016/j.bmcl.2020.127698] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 11/05/2020] [Accepted: 11/14/2020] [Indexed: 12/13/2022]
Abstract
Tubulin, an important target in tumor therapy, is one of the hotspots in the field of antineoplastic drugs in recent years, and it is of great significance to design and screen new inhibitors for this target. Natural products and chemical synthetic drugs are the main sources of tubulin inhibitors. However, due to the variety of compound structure types, it has always been difficult for researchers to screen out polymerization inhibitors with simple operation, high efficiency and low cost. A large number of articles have reported the screening methods of tubulin inhibitors and their biological activity. In this article, the biological activity detection methods of tubulin polymerization inhibitors are reviewed. Thus, it provides a theoretical basis for the further study of tubulin polymerization inhibitors and the selection of methods for tubulin inhibitors.
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Affiliation(s)
- Ting Zhu
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China; Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Sheng-Hui Wang
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Dong Li
- Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Shu-Yu Wang
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Xu Liu
- Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Jian Song
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China; Key Laboratory of Advanced Drug Preparation Technologies, Ministry of Education, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.
| | - Ya-Ting Wang
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
| | - Sai-Yang Zhang
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China; Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou 450001, China.
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Wang SY, Liu X, Liu Y, Zhang HY, Zhang YB, Liu C, Song J, Niu JB, Zhang SY. Review of NEDDylation inhibition activity detection methods. Bioorg Med Chem 2021; 29:115875. [DOI: 10.1016/j.bmc.2020.115875] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/05/2020] [Accepted: 11/09/2020] [Indexed: 12/31/2022]
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Yakubu RR, Nieves E, Weiss LM. The Methods Employed in Mass Spectrometric Analysis of Posttranslational Modifications (PTMs) and Protein-Protein Interactions (PPIs). ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1140:169-198. [PMID: 31347048 DOI: 10.1007/978-3-030-15950-4_10] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Mass Spectrometry (MS) has revolutionized the way we study biomolecules, especially proteins, their interactions and posttranslational modifications (PTM). As such MS has established itself as the leading tool for the analysis of PTMs mainly because this approach is highly sensitive, amenable to high throughput and is capable of assigning PTMs to specific sites in the amino acid sequence of proteins and peptides. Along with the advances in MS methodology there have been improvements in biochemical, genetic and cell biological approaches to mapping the interactome which are discussed with consideration for both the practical and technical considerations of these techniques. The interactome of a species is generally understood to represent the sum of all potential protein-protein interactions. There are still a number of barriers to the elucidation of the human interactome or any other species as physical contact between protein pairs that occur by selective molecular docking in a particular spatiotemporal biological context are not easily captured and measured.PTMs massively increase the complexity of organismal proteomes and play a role in almost all aspects of cell biology, allowing for fine-tuning of protein structure, function and localization. There are an estimated 300 PTMS with a predicted 5% of the eukaryotic genome coding for enzymes involved in protein modification, however we have not yet been able to reliably map PTM proteomes due to limitations in sample preparation, analytical techniques, data analysis, and the substoichiometric and transient nature of some PTMs. Improvements in proteomic and mass spectrometry methods, as well as sample preparation, have been exploited in a large number of proteome-wide surveys of PTMs in many different organisms. Here we focus on previously published global PTM proteome studies in the Apicomplexan parasites T. gondii and P. falciparum which offer numerous insights into the abundance and function of each of the studied PTM in the Apicomplexa. Integration of these datasets provide a more complete picture of the relative importance of PTM and crosstalk between them and how together PTM globally change the cellular biology of the Apicomplexan protozoa. A multitude of techniques used to investigate PTMs, mostly techniques in MS-based proteomics, are discussed for their ability to uncover relevant biological function.
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Affiliation(s)
- Rama R Yakubu
- Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Edward Nieves
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY, USA.,Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Louis M Weiss
- Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, USA. .,Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
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Ngounou Wetie AG, Sokolowska I, Channaveerappa D, Dupree EJ, Jayathirtha M, Woods AG, Darie CC. Proteomics and Non-proteomics Approaches to Study Stable and Transient Protein-Protein Interactions. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1140:121-142. [DOI: 10.1007/978-3-030-15950-4_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Sundar S, Singh B. Understanding Leishmania parasites through proteomics and implications for the clinic. Expert Rev Proteomics 2018; 15:371-390. [PMID: 29717934 PMCID: PMC5970101 DOI: 10.1080/14789450.2018.1468754] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
INTRODUCTION Leishmania spp. are causative agents of leishmaniasis, a broad-spectrum neglected vector-borne disease. Genomic and transcriptional studies are not capable of solving intricate biological mysteries, leading to the emergence of proteomics, which can provide insights into the field of parasite biology and its interactions with the host. Areas covered: The combination of genomics and informatics with high throughput proteomics may improve our understanding of parasite biology and pathogenesis. This review analyses the roles of diverse proteomic technologies that facilitate our understanding of global protein profiles and definition of parasite development, survival, virulence and drug resistance mechanisms for disease intervention. Additionally, recent innovations in proteomics have provided insights concerning the drawbacks associated with conventional chemotherapeutic approaches and Leishmania biology, host-parasite interactions and the development of new therapeutic approaches. Expert commentary: With progressive breakthroughs in the foreseeable future, proteome profiles could provide target molecules for vaccine development and therapeutic intervention. Furthermore, proteomics, in combination with genomics and informatics, could facilitate the elimination of several diseases. Taken together, this review provides an outlook on developments in Leishmania proteomics and their clinical implications.
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Affiliation(s)
- Shyam Sundar
- a Department of Medicine, Institute of Medical Sciences , Banaras Hindu University , Varanasi , India
| | - Bhawana Singh
- a Department of Medicine, Institute of Medical Sciences , Banaras Hindu University , Varanasi , India
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Elucidation of the dynamic nature of interactome networks: A practical tutorial. J Proteomics 2018; 171:116-126. [DOI: 10.1016/j.jprot.2017.04.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 03/23/2017] [Accepted: 04/10/2017] [Indexed: 01/12/2023]
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Sannam Khan R, Khurshid Z, Akhbar S, Faraz Moin S. Advances of Salivary Proteomics in Oral Squamous Cell Carcinoma (OSCC) Detection: An Update. Proteomes 2016; 4:proteomes4040041. [PMID: 28248250 PMCID: PMC5260973 DOI: 10.3390/proteomes4040041] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 11/28/2016] [Accepted: 12/06/2016] [Indexed: 11/16/2022] Open
Abstract
Oral cancer refers to malignancies that have higher morbidity and mortality rates due to the late stage diagnosis and no early detection of a reliable diagnostic marker, while oral squamous cell carcinoma (OSCC) is amongst the world’s top ten most common cancers. Diagnosis of cancer requires highly sensitive and specific diagnostic tools which can support untraceable hidden sites of OSCC, yet to be unleashed, for which plenty of biomarkers are identified; the most recommended biomarker detection medium for OSCC includes biological fluids, such as blood and saliva. Saliva holds a promising future in the search for new clinical biomarkers that are easily accessible, less complex, accurate, and cost effective as well as being a non-invasive technique to follow, by analysing the malignant cells’ molecular pathology obtained from saliva through proteomic, genomic and transcriptomic approaches. However, protein biomarkers provide an immense potential for developing novel marker-based assays for oral cancer, hence this current review offers an overall focus on the discovery of a panel of candidates as salivary protein biomarkers, as well as the proteomic tools used for their identification and their significance in early oral cancer detection.
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Affiliation(s)
- Rabia Sannam Khan
- Department of Oral Pathology, College of Dentistry, Baqai University, Super Highway, P.O. Box: 2407, Karachi 74600, Pakistan.
| | - Zohaib Khurshid
- Department of Prosthodontics and Implantology, College of Dentistry, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
| | - Shazia Akhbar
- Department of Oral Pathology, Dow Dental College, Dow University of Heath Sciences (DUHS), Baba-E-Urdu Road, Karachi 74200, Pakistan.
| | - Syed Faraz Moin
- National Center for Proteomics, University of Karachi, University Road, Karachi 75270, Pakistan.
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Ma Y, Tian S, Wang Z, Wang C, Chen X, Li W, Yang Y, He S. CMP‑N‑acetylneuraminic acid synthetase interacts with fragile X related protein 1. Mol Med Rep 2016; 14:1501-8. [PMID: 27357083 PMCID: PMC4940058 DOI: 10.3892/mmr.2016.5438] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2015] [Accepted: 05/25/2016] [Indexed: 11/30/2022] Open
Abstract
Fragile X mental retardation protein (FMRP), fragile X related 1 protein (FXR1P) and FXR2P are the members of the FMR protein family. These proteins contain two KH domains and a RGG box, which are characteristic of RNA binding proteins. The absence of FMRP, causes fragile X syndrome (FXS), the leading cause of hereditary mental retardation. FXR1P is expressed throughout the body and important for normal muscle development, and its absence causes cardiac abnormality. To investigate the functions of FXR1P, a screen was performed to identify FXR1P-interacting proteins and determine the biological effect of the interaction. The current study identified CMP-N-acetylneuraminic acid synthetase (CMAS) as an interacting protein using the yeast two-hybrid system, and the interaction between FXR1P and CMAS was validated in yeast using a β-galactosidase assay and growth studies with selective media. Furthermore, co-immunoprecipitation was used to analyze the FXR1P/CMAS association and immunofluorescence microscopy was performed to detect expression and intracellular localization of the proteins. The results of the current study indicated that FXR1P and CMAS interact, and colocalize in the cytoplasm and the nucleus of HEK293T and HeLa cells. Accordingly, a fragile X related 1 (FXR1) gene overexpression vector was constructed to investigate the effect of FXR1 overexpression on the level of monosialotetrahexosylganglioside 1 (GM1). The results of the current study suggested that FXR1P is a tissue-specific regulator of GM1 levels in SH-SY5Y cells, but not in HEK293T cells. Taken together, the results initially indicate that FXR1P interacts with CMAS, and that FXR1P may enhance the activation of sialic acid via interaction with CMAS, and increase GM1 levels to affect the development of the nervous system, thus providing evidence for further research into the pathogenesis of FXS.
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Affiliation(s)
- Yun Ma
- Department of Biochemistry & Biology, University of South China, Hengyang, Hunan 421001, P.R. China
| | - Shuai Tian
- Department of Biochemistry & Biology, University of South China, Hengyang, Hunan 421001, P.R. China
| | - Zongbao Wang
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Institute of Pharmaceutical and Biological Sciences, University of South China, Hengyang, Hunan 421001, P.R. China
| | - Changbo Wang
- Department of Biochemistry & Biology, University of South China, Hengyang, Hunan 421001, P.R. China
| | - Xiaowei Chen
- Department of Biochemistry & Biology, University of South China, Hengyang, Hunan 421001, P.R. China
| | - Wei Li
- Department of Biochemistry & Biology, University of South China, Hengyang, Hunan 421001, P.R. China
| | - Yang Yang
- Department of Biochemistry & Biology, University of South China, Hengyang, Hunan 421001, P.R. China
| | - Shuya He
- Department of Biochemistry & Biology, University of South China, Hengyang, Hunan 421001, P.R. China
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Bundalovic-Torma C, Parkinson J. Comparative Genomics and Evolutionary Modularity of Prokaryotes. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2015; 883:77-96. [PMID: 26621462 DOI: 10.1007/978-3-319-23603-2_4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The soaring number of high-quality genomic sequences has ushered in the era of post-genomic research where our understanding of organisms has dramatically shifted towards defining the function of genes within their larger biological contexts. As a result, novel high-throughput experimental technologies are being increasingly employed to uncover physical and functional associations of genes and proteins in complex biological processes. Through the construction and analysis of physical, genetic and metabolic networks generated for the model organisms, such as Escherichia coli, organizational principles of the genome have been deduced, such as modularity, which has important implications toward understanding prokaryotic evolution and adaptation to novel lifestyles.
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Affiliation(s)
- Cedoljub Bundalovic-Torma
- Department of Molecular Structure and Function, The Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay St. Rm 21-9830, Toronto, ON, Canada, M5G 0A4.
| | - John Parkinson
- Department of Molecular Structure and Function, The Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay St. Rm 20-9709, Toronto, ON, Canada, M5G 0A4.
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Monti M, Cozzolino M, Cozzolino F, Vitiello G, Tedesco R, Flagiello A, Pucci P. Puzzle of protein complexesin vivo: a present and future challenge for functional proteomics. Expert Rev Proteomics 2014; 6:159-69. [DOI: 10.1586/epr.09.7] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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Mass Spectrometric Analysis of Post-translational Modifications (PTMs) and Protein–Protein Interactions (PPIs). ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2014; 806:205-35. [DOI: 10.1007/978-3-319-06068-2_9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Ngounou Wetie AG, Sokolowska I, Woods AG, Roy U, Deinhardt K, Darie CC. Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches. Cell Mol Life Sci 2014; 71:205-28. [PMID: 23579629 PMCID: PMC11113707 DOI: 10.1007/s00018-013-1333-1] [Citation(s) in RCA: 86] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2012] [Revised: 03/25/2013] [Accepted: 03/26/2013] [Indexed: 11/28/2022]
Abstract
Following the sequencing of the human genome and many other organisms, research on protein-coding genes and their functions (functional genomics) has intensified. Subsequently, with the observation that proteins are indeed the molecular effectors of most cellular processes, the discipline of proteomics was born. Clearly, proteins do not function as single entities but rather as a dynamic network of team players that have to communicate. Though genetic (yeast two-hybrid Y2H) and biochemical methods (co-immunoprecipitation Co-IP, affinity purification AP) were the methods of choice at the beginning of the study of protein-protein interactions (PPI), in more recent years there has been a shift towards proteomics-based methods and bioinformatics-based approaches. In this review, we first describe in depth PPIs and we make a strong case as to why unraveling the interactome is the next challenge in the field of proteomics. Furthermore, classical methods of investigation of PPIs and structure-based bioinformatics approaches are presented. The greatest emphasis is placed on proteomic methods, especially native techniques that were recently developed and that have been shown to be reliable. Finally, we point out the limitations of these methods and the need to set up a standard for the validation of PPI experiments.
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Affiliation(s)
- Armand G. Ngounou Wetie
- Department of Chemistry and Biomolecular Science, Biochemistry and Proteomics Group, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Izabela Sokolowska
- Department of Chemistry and Biomolecular Science, Biochemistry and Proteomics Group, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Alisa G. Woods
- Department of Chemistry and Biomolecular Science, Biochemistry and Proteomics Group, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Urmi Roy
- Department of Chemistry and Biomolecular Science, Biochemistry and Proteomics Group, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Katrin Deinhardt
- Centre for Biological Sciences, University of Southampton, Life Sciences Building 85, Southampton, SO17 1BJ UK
- Institute for Life Sciences, University of Southampton, Life Sciences Building 85, Southampton, SO17 1BJ UK
| | - Costel C. Darie
- Department of Chemistry and Biomolecular Science, Biochemistry and Proteomics Group, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
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Ibrahim B, Henze R, Gruenert G, Egbert M, Huwald J, Dittrich P. Spatial rule-based modeling: a method and its application to the human mitotic kinetochore. Cells 2013; 2:506-44. [PMID: 24709796 PMCID: PMC3972674 DOI: 10.3390/cells2030506] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2013] [Revised: 06/05/2013] [Accepted: 06/25/2013] [Indexed: 12/23/2022] Open
Abstract
A common problem in the analysis of biological systems is the combinatorial explosion that emerges from the complexity of multi-protein assemblies. Conventional formalisms, like differential equations, Boolean networks and Bayesian networks, are unsuitable for dealing with the combinatorial explosion, because they are designed for a restricted state space with fixed dimensionality. To overcome this problem, the rule-based modeling language, BioNetGen, and the spatial extension, SRSim, have been developed. Here, we describe how to apply rule-based modeling to integrate experimental data from different sources into a single spatial simulation model and how to analyze the output of that model. The starting point for this approach can be a combination of molecular interaction data, reaction network data, proximities, binding and diffusion kinetics and molecular geometries at different levels of detail. We describe the technique and then use it to construct a model of the human mitotic inner and outer kinetochore, including the spindle assembly checkpoint signaling pathway. This allows us to demonstrate the utility of the procedure, show how a novel perspective for understanding such complex systems becomes accessible and elaborate on challenges that arise in the formulation, simulation and analysis of spatial rule-based models.
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Affiliation(s)
- Bashar Ibrahim
- Bio Systems Analysis Group, Institute of Computer Science, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, D-0007743 Jena, Germany.
| | - Richard Henze
- Bio Systems Analysis Group, Institute of Computer Science, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, D-0007743 Jena, Germany.
| | - Gerd Gruenert
- Bio Systems Analysis Group, Institute of Computer Science, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, D-0007743 Jena, Germany.
| | - Matthew Egbert
- Bio Systems Analysis Group, Institute of Computer Science, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, D-0007743 Jena, Germany.
| | - Jan Huwald
- Bio Systems Analysis Group, Institute of Computer Science, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, D-0007743 Jena, Germany.
| | - Peter Dittrich
- Bio Systems Analysis Group, Institute of Computer Science, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, D-0007743 Jena, Germany.
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Zhu L, Fu Y. Analysis of in vivo ROP GTPase activity at the subcellular level by fluorescence resonance energy transfer microscopy. Methods Mol Biol 2012; 876:145-52. [PMID: 22576092 DOI: 10.1007/978-1-61779-809-2_11] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Proteins generally interact with some other proteins to achieve their cellular functions. Fluorescence resonance energy transfer (FRET) microscopy provides a powerful technique to elucidate such interactions in vivo. FRET occurs when two properly chosen fluorophores are sufficiently close (less than 10 nm). Aided by multiple colored fluorescent proteins (FPs), FRET microscopy has been widely used in live cells for detection of protein-protein interaction and in some cases protein activity in a real-time in vivo manner, which contributes to the understanding of the mechanisms for the regulation of many cellular activities, such as signal transduction pathways. Here, we describe a convenient and fast FRET imaging microscopy involving transiently expressed proteins fused with an FRET pair of fluorescent proteins (e.g., cyn fluorescent protein and yellow fluorescent protein). We describe an example of the FRET-based assay used to analyze ROP GTPase activity in live plant cells.
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Affiliation(s)
- Lei Zhu
- State Key Laboratory of Plant Physiology and Biochemistry, Department of Plant Sciences, College of Biological Sciences, China Agricultural University, Beijing, China
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Li J, Guo W, Li F, He J, Yu Q, Wu X, Li J, Mao X. HnRNPL as a key factor in spermatogenesis: Lesson from functional proteomic studies of azoospermia patients with sertoli cell only syndrome. J Proteomics 2012; 75:2879-91. [DOI: 10.1016/j.jprot.2011.12.040] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2011] [Revised: 12/26/2011] [Accepted: 12/28/2011] [Indexed: 11/30/2022]
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Nie Y, Viola C, Bieniossek C, Trowitzsch S, Vijay-Achandran LS, Chaillet M, Garzoni F, Berger I. Getting a grip on complexes. Curr Genomics 2011; 10:558-72. [PMID: 20514218 PMCID: PMC2817887 DOI: 10.2174/138920209789503923] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2009] [Revised: 07/15/2009] [Accepted: 07/24/2009] [Indexed: 02/03/2023] Open
Abstract
We are witnessing tremendous advances in our understanding of the organization of life. Complete genomes are being deciphered with ever increasing speed and accuracy, thereby setting the stage for addressing the entire gene product repertoire of cells, towards understanding whole biological systems. Advances in bioinformatics and mass spectrometric techniques have revealed the multitude of interactions present in the proteome. Multiprotein complexes are emerging as a paramount cornerstone of biological activity, as many proteins appear to participate, stably or transiently, in large multisubunit assemblies. Analysis of the architecture of these assemblies and their manifold interactions is imperative for understanding their function at the molecular level. Structural genomics efforts have fostered the development of many technologies towards achieving the throughput required for studying system-wide single proteins and small interaction motifs at high resolution. The present shift in focus towards large multiprotein complexes, in particular in eukaryotes, now calls for a likewise concerted effort to develop and provide new technologies that are urgently required to produce in quality and quantity the plethora of multiprotein assemblies that form the complexome, and to routinely study their structure and function at the molecular level. Current efforts towards this objective are summarized and reviewed in this contribution.
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Affiliation(s)
- Yan Nie
- European Molecular Biology Laboratory (EMBL), Grenoble Outstation and Unit of Virus Host-Cell Interactions (UVHCI), UJF-EMBL-CNRS, UMR 5233, 6 rue Jules Horowitz, 38042 Grenoble CEDEX 9, France
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20
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Amoresano A, Di Costanzo A, Leo G, Di Cunto F, La Mantia G, Guerrini L, Calabrò V. Identification of ΔNp63α Protein Interactions by Mass Spectrometry. J Proteome Res 2010; 9:2042-8. [DOI: 10.1021/pr9011156] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Angela Amoresano
- Dipartimento di Chimica Organica e Biologica, Università Federico II, Napoli, Italy, Dipartimento di Biologia Strutturale e Funzionale, Università di Napoli, Federico II, Italy, Centro di Biotecnologie Molecolari, Università di Torino, Torino, Italy, and Dipartimento di Scienze Biomolecolari e Biotecnologie, Università di Milano, Italy
| | - Antonella Di Costanzo
- Dipartimento di Chimica Organica e Biologica, Università Federico II, Napoli, Italy, Dipartimento di Biologia Strutturale e Funzionale, Università di Napoli, Federico II, Italy, Centro di Biotecnologie Molecolari, Università di Torino, Torino, Italy, and Dipartimento di Scienze Biomolecolari e Biotecnologie, Università di Milano, Italy
| | - Gabriella Leo
- Dipartimento di Chimica Organica e Biologica, Università Federico II, Napoli, Italy, Dipartimento di Biologia Strutturale e Funzionale, Università di Napoli, Federico II, Italy, Centro di Biotecnologie Molecolari, Università di Torino, Torino, Italy, and Dipartimento di Scienze Biomolecolari e Biotecnologie, Università di Milano, Italy
| | - Ferdinando Di Cunto
- Dipartimento di Chimica Organica e Biologica, Università Federico II, Napoli, Italy, Dipartimento di Biologia Strutturale e Funzionale, Università di Napoli, Federico II, Italy, Centro di Biotecnologie Molecolari, Università di Torino, Torino, Italy, and Dipartimento di Scienze Biomolecolari e Biotecnologie, Università di Milano, Italy
| | - Girolama La Mantia
- Dipartimento di Chimica Organica e Biologica, Università Federico II, Napoli, Italy, Dipartimento di Biologia Strutturale e Funzionale, Università di Napoli, Federico II, Italy, Centro di Biotecnologie Molecolari, Università di Torino, Torino, Italy, and Dipartimento di Scienze Biomolecolari e Biotecnologie, Università di Milano, Italy
| | - Luisa Guerrini
- Dipartimento di Chimica Organica e Biologica, Università Federico II, Napoli, Italy, Dipartimento di Biologia Strutturale e Funzionale, Università di Napoli, Federico II, Italy, Centro di Biotecnologie Molecolari, Università di Torino, Torino, Italy, and Dipartimento di Scienze Biomolecolari e Biotecnologie, Università di Milano, Italy
| | - Viola Calabrò
- Dipartimento di Chimica Organica e Biologica, Università Federico II, Napoli, Italy, Dipartimento di Biologia Strutturale e Funzionale, Università di Napoli, Federico II, Italy, Centro di Biotecnologie Molecolari, Università di Torino, Torino, Italy, and Dipartimento di Scienze Biomolecolari e Biotecnologie, Università di Milano, Italy
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21
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The ribosomal protein L2 interacts with the RNA polymerase alpha subunit and acts as a transcription modulator in Escherichia coli. J Bacteriol 2010; 192:1882-9. [PMID: 20097853 DOI: 10.1128/jb.01503-09] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Identification of interacting proteins in stable complexes is essential to understand the mechanisms that regulate cellular processes at the molecular level. Transcription initiation in prokaryotes requires coordinated protein-protein and protein-DNA interactions that often involve one or more transcription factors in addition to RNA polymerase (RNAP) subunits. The RNAP alpha subunit (RNAPalpha) is a key regulatory element in gene transcription and functions through direct interaction with other proteins to control all stages of this process. A clear description of the RNAPalpha protein partners should greatly increase our understanding of transcription modulation. A functional proteomics approach was employed to investigate protein components that specifically interact with RNAPalpha. A tagged form of Escherichia coli RNAPalpha was used as bait to determine the molecular partners of this subunit in a whole-cell extract. Among other interacting proteins, 50S ribosomal protein L2 (RPL2) was clearly identified by mass spectrometry. The direct interaction between RNAPalpha and RPL2 was confirmed both in vivo and in vitro by performing coimmunoprecipitation and bacterial two-hybrid experiments. The functional role of this interaction was also investigated in the presence of a ribosomal promoter by using a beta-galactosidase gene reporter assay. The results clearly demonstrated that RPL2 was able to increase beta-galactosidase expression only in the presence of a specific ribosomal promoter, whereas it was inactive when it was assayed with an unrelated promoter. Interestingly, other ribosomal proteins (L1, L3, L20, and L27) did not have any effect on rRNA expression. The findings reported here strongly suggest that in addition to its role in ribosome assembly the highly conserved RPL2 protein plays a specific and direct role in regulation of transcription.
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Abstract
Proteomic profiling of subcellular compartments has many advantages over traditional proteomic approaches using whole cell lysates as it allows for detailed proteome analysis of a specific organelle and corresponding functional characteristics. The microsome is a critical, membranous compartment involved in the synthesis, sorting, and secretion of proteins as well as other metabolic functions. This chapter will describe detailed methods for the isolation of microsomal organelles including the ER, Golgi, and prechylomicron transport vesicle (PCTV), a recently identified vesicular system involved in intestinal lipoprotein assembly and secretion. Particular focus is given to the isolation of microsomes from primary hepatocytes and enterocytes freshly isolated from rodent liver and intestinal tissue, and their proteomic profiling using a combination of two-dimensional gel electrophoresis and mass spectrometry.
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Affiliation(s)
- Diana M Wong
- Molecular Structure and Function, the Hospital for Sick Children, Research Institute, University of Toronto, Toronto, ON, Canada
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Amoresano A, Carpentieri A, Giangrande C, Palmese A, Chiappetta G, Marino G, Pucci P. Technical advances in proteomics mass spectrometry: identification of post-translational modifications. Clin Chem Lab Med 2009; 47:647-65. [DOI: 10.1515/cclm.2009.154] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Bieniossek C, Berger I. Towards eukaryotic structural complexomics. ACTA ACUST UNITED AC 2008; 10:37-46. [PMID: 19009368 DOI: 10.1007/s10969-008-9047-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2008] [Accepted: 10/30/2008] [Indexed: 11/24/2022]
Abstract
Many eukaryotic proteins exist in large multisubunit assemblies and often show compromised folding or activity when their interaction partners are not present. Protein complexes in eukaryotes can contain ten or more subunits with individual polypeptides ranging in size up to several hundred kilodalton, severely restricting the application of conventional cloning strategies and imposing constraints on the choice of the expression host. Modern structural molecular biology often depends on introducing diversity into the specimens under investigation, including mutation, truncation and placement of purification aids. Current recombinant expression methods often require a disproportionate labor investment prior to multiprotein expression, and subsequent to expression and analysis do not provide for rapid revision of the experiment. We have developed reagents and protocols for rapid and flexible multiprotein complex expressions suitable for structural biology, focusing on multigene baculoviral vectors and their recombination mediated assembly. A top priority in protein science is automation. Our strategy can be readily adapted in a robotics setup, for baculovirus/insect cell expression of protein complexes, but likewise also for mammalian or prokaryotic hosts.
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Affiliation(s)
- Christoph Bieniossek
- Institute for Molecular Biology and Biophysics, ETH Hönggerberg, 8093, Zurich, Switzerland
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25
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Miernyk JA, Thelen JJ. Biochemical approaches for discovering protein-protein interactions. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2008; 53:597-609. [PMID: 18269571 DOI: 10.1111/j.1365-313x.2007.03316.x] [Citation(s) in RCA: 75] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Protein-protein interactions or protein complexes are integral in nearly all cellular processes, ranging from metabolism to structure. Elucidating both individual protein associations and complex protein interaction networks, while challenging, is an essential goal of functional genomics. For example, discovering interacting partners for a 'protein of unknown function' can provide insight into actual function far beyond what is possible with sequence-based predictions, and provide a platform for future research. Synthetic genetic approaches such as two-hybrid screening often reveal a perplexing array of potential interacting partners for any given target protein. It is now known, however, that this type of anonymous screening approach can yield high levels of false-positive results, and therefore putative interactors must be confirmed by independent methods. In vitro biochemical strategies for identifying interacting proteins are varied and time-honored, some being as old as the field of protein chemistry itself. Herein we discuss five biochemical approaches for isolating and characterizing protein-protein interactions in vitro: co-immunoprecipitation, blue native gel electrophoresis, in vitro binding assays, protein cross-linking, and rate-zonal centrifugation. A perspective is provided for each method, and where appropriate specific, trial-tested methods are included.
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Affiliation(s)
- Jan A Miernyk
- Department of Biochemistry, University of Missouri-Columbia, 109 Christopher S. Bond Life Sciences Center, 1201 E. Rollins St., Columbia, MO 65211, USA
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26
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The possible interaction of CDA14 and protein elongation factor 1α. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2008; 1784:312-8. [DOI: 10.1016/j.bbapap.2007.10.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2007] [Revised: 10/03/2007] [Accepted: 10/03/2007] [Indexed: 12/24/2022]
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27
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Metz TO, Qian WJ, Jacobs JM, Gritsenko MA, Moore RJ, Polpitiya AD, Monroe ME, Camp DG, Mueller PW, Smith RD. Application of proteomics in the discovery of candidate protein biomarkers in a diabetes autoantibody standardization program sample subset. J Proteome Res 2007; 7:698-707. [PMID: 18092746 DOI: 10.1021/pr700606w] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Novel biomarkers of type 1 diabetes must be identified and validated in initial, exploratory studies before they can be assessed in proficiency evaluations. Currently, untargeted "-omics" approaches are underutilized in profiling studies of clinical samples. This report describes the evaluation of capillary liquid chromatography (LC) coupled with mass spectrometry (MS) in a pilot proteomic analysis of human plasma and serum from a subset of control and type 1 diabetic individuals enrolled in the Diabetes Autoantibody Standardization Program, with the goal of identifying candidate biomarkers of type 1 diabetes. Initial high-resolution capillary LC-MS/MS experiments were performed to augment an existing plasma peptide database, while subsequent LC-FTICR studies identified quantitative differences in the abundance of plasma proteins. Analysis of LC-FTICR proteomic data identified five candidate protein biomarkers of type 1 diabetes. alpha-2-Glycoprotein 1 (zinc), corticosteroid-binding globulin, and lumican were 2-fold up-regulated in type 1 diabetic samples relative to control samples, whereas clusterin and serotransferrin were 2-fold up-regulated in control samples relative to type 1 diabetic samples. Observed perturbations in the levels of all five proteins are consistent with the metabolic aberrations found in type 1 diabetes. While the discovery of these candidate protein biomarkers of type 1 diabetes is encouraging, follow up studies are required for validation in a larger population of individuals and for determination of laboratory-defined sensitivity and specificity values using blinded samples.
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Affiliation(s)
- Thomas O Metz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
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28
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Conrotto P, Yakymovych I, Yakymovych M, Souchelnytskyi S. Interactome of transforming growth factor-beta type I receptor (TbetaRI): inhibition of TGFbeta signaling by Epac1. J Proteome Res 2007; 6:287-97. [PMID: 17203972 DOI: 10.1021/pr060427q] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Transforming growth factor-beta (TGFbeta) is a potent regulator of cell growth, differentiation, and apoptosis. Type I TGFbeta receptor (TbetaRI) is the key receptor for initiation of intracellular signaling by TGFbeta. Here we report proteomics-based identification of proteins that form a complex with TbetaRI. Using 2D-GE and MALDI TOF mass spectrometry, we identified 16 proteins that specifically interacted with a GST-fused TbetaRI Thr204Asp construct with constitutively active serine/threonine kinase. We confirmed interactions of the receptor with cAMP regulated guanine nucleotide exchange factor 1 (Epac1), beta-spectrin, PIASy, and beta-catenin proteins using immunoblotting. Interaction of the receptor with Epac1 required intact kinase activity of TbetaRI but was not affected by deletion of cAMP-binding domain of Epac1. TGFbeta1-induced C-terminal phosphorylation of Smad2 was inhibited in vivo and in vitro in the presence of Epac1. Epac1 inhibited also TGFbeta1/TbetaRI-dependent transcriptional activation, as evaluated by luciferase reporter assays. We observed that expression of Epac1 counteracted TGFbeta/TbetaRI-dependent decrease of cell adhesion and TGFbeta/TbetaRI-induced stimulation of cell migration. Thus, we have reported novel TRI-interacting proteins and have shown that Epac1 inhibited TGFbeta-dependent regulation of cell migration and adhesion.
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Affiliation(s)
- Paolo Conrotto
- Ludwig Institute for Cancer Research, Uppsala University, Box 595, BMC, SE-751 24, Uppsala, Sweden
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29
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Markham K, Bai Y, Schmitt-Ulms G. Co-immunoprecipitations revisited: an update on experimental concepts and their implementation for sensitive interactome investigations of endogenous proteins. Anal Bioanal Chem 2007; 389:461-73. [PMID: 17583802 DOI: 10.1007/s00216-007-1385-x] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2007] [Revised: 05/14/2007] [Accepted: 05/22/2007] [Indexed: 10/23/2022]
Abstract
The study of protein-protein interactions involving endogenous proteins frequently relies on the immunoaffinity capture of a protein of interest followed by mass spectrometry-based identification of co-purifying interactors. A notorious problem with this approach is the difficulty of distinguishing physiological interactors from unspecific binders. Additional challenges pose the need to employ a strategy that is compatible with downstream mass spectrometry and minimizes sample losses during handling steps. Finally, the complexity of data sets demands solutions for data filtering. Here we present an update on co-immunoprecipitation procedures for sensitive interactome mapping applications. We define the relevant terminology, review methodological advances that reduce sample losses, and discuss experimental strategies that facilitate recognition of candidate interactors through a combination of informative controls and data filtering. Finally, we provide starting points for initial validation experiments and propose conventions for manuscripts which report on co-immunoprecipitation work.
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Affiliation(s)
- Kelly Markham
- Centre for Research in Neurodegenerative Diseases, University of Toronto, Tanz Neuroscience Building, 6 Queen's Park Crescent West, Toronto, ON M5S 3H2, Canada
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30
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Smith JC, Lambert JP, Elisma F, Figeys D. Proteomics in 2005/2006: developments, applications and challenges. Anal Chem 2007; 79:4325-43. [PMID: 17477510 DOI: 10.1021/ac070741j] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Jeffrey C Smith
- Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ontario, Canada K1H 8M5
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31
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Kültz D, Fiol D, Valkova N, Gomez-Jimenez S, Chan SY, Lee J. Functional genomics and proteomics of the cellular osmotic stress response in `non-model' organisms. J Exp Biol 2007; 210:1593-601. [PMID: 17449824 DOI: 10.1242/jeb.000141] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
SUMMARY
All organisms are adapted to well-defined extracellular salinity ranges. Osmoregulatory mechanisms spanning all levels of biological organization, from molecules to behavior, are central to salinity adaptation. Functional genomics and proteomics approaches represent powerful tools for gaining insight into the molecular basis of salinity adaptation and euryhalinity in animals. In this review, we discuss our experience in applying such tools to so-called`non-model' species, including euryhaline animals that are well-suited for studies of salinity adaptation. Suppression subtractive hybridization,RACE-PCR and mass spectrometry-driven proteomics can be used to identify genes and proteins involved in salinity adaptation or other environmental stress responses in tilapia, sharks and sponges. For protein identification in non-model species, algorithms based on sequence homology searches such as MSBLASTP2 are most powerful. Subsequent gene ontology and pathway analysis can then utilize sets of identified genes and proteins for modeling molecular mechanisms of environmental adaptation. Current limitations for proteomics in non-model species can be overcome by improving sequence coverage, N- and C-terminal sequencing and analysis of intact proteins. Dependence on information about biochemical pathways and gene ontology databases for model species represents a more severe barrier for work with non-model species. To minimize such dependence, focusing on a single biological process (rather than attempting to describe the system as a whole) is key when applying `omics'approaches to non-model organisms.
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Affiliation(s)
- Dietmar Kültz
- Physiological Genomics Group, Department of Animal Science, One Shields Avenue, University of California, Davis, CA 95616, USA.
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32
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Gloerich J, Wevers RA, Smeitink JAM, van Engelen BG, van den Heuvel LP. Proteomics approaches to study genetic and metabolic disorders. J Proteome Res 2007; 6:506-12. [PMID: 17269707 DOI: 10.1021/pr060487w] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Several proteomics approaches to study different aspects of genetic and metabolic diseases are presented. The choice of technique is strongly dependent on the biological question to be addressed and the availability and amount of sample. In general, there are three approaches that may be used to study genetic and metabolic diseases: protein profiling of complex biological samples, identification of affected proteins, or a functional proteomics approach to study protein interactions and function.
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Affiliation(s)
- Jolein Gloerich
- Laboratory for Pediatrics and Neurology, Nijmegen Centre for Mitochondrial Disorders, Department of Pediatrics, Neuromuscular Center Nijmegen, 6500 HB Nijmegen, The Netherlands
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33
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Chang IF. Mass spectrometry-based proteomic analysis of the epitope-tag affinity purified protein complexes in eukaryotes. Proteomics 2007; 6:6158-66. [PMID: 17072909 DOI: 10.1002/pmic.200600225] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
In recent years, MS has been widely used to study protein complex in eukaryotes. The identification of interacting proteins of a particular target protein may help defining protein-protein interaction and proteins of unknown functions. To isolate protein complexes, high-speed ultracentrifugation, sucrose density-gradient centrifugation, and coimmunoprecipitation have been widely used. However, the probability of getting nonspecific binding is comparatively high. Alternatively, by use of one- or two-step (tandem affinity purification) epitope-tag affinity purification, protein complexes can be isolated by affinity or immunoaffinity columns. These epitope-tags include protein A, hexahistidine (His), c-Myc, hemaglutinin (HA), calmodulin-binding protein, FLAG, maltose-binding protein, Strep, etc. The isolated protein complex can then be subjected to protease (i.e., trypsin) digestion followed by an MS analysis for protein identification. An example, the epitope-tag purification of the Arabidopsis cytosolic ribosomes, is addressed in this article to show the success of the application. Several representative protein complexes in eukaryotes been isolated and characterized by use of this approach are listed. In this review, the comparison among different tag systems, validation of interacting relationship, and choices of MS analysis method are addressed. The successful rate, advantages, limitations, and challenges of the epitope-tag purification are also discussed.
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Affiliation(s)
- Ing-Feng Chang
- Department of Biochemistry and Molecular Biology, University of Nevada, Reno, NV 89557, USA.
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34
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Zhou M, Veenstra TD. Multiplexed immunofluorescence microscopy for the interrogation of cellular protein complexes. Expert Rev Proteomics 2007; 3:581-3. [PMID: 17181472 DOI: 10.1586/14789450.3.6.581] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Knowing that a specific protein is present within a cell provides little insight into its function. In a study by Schubert and colleagues, the investigators present a multidimensional method that utilizes fluorescence microscopy and automated antibody introduction and detection, which is potentially capable of localizing hundreds of proteins within individual cells. The method, referred to as multiepitope-ligand cartography, is validated in the analysis of cell-surface receptors in peripheral mononuclear blood cells, and then used to map protein complexes in a series of disease models, including psoriasis and chronic constriction injury. Within each experiment, the locales of each protein are presented in a binary format and the data are interpreted to recognize specific proteins that control the topology of the protein network. The hope is that by identifying partnerships between proteins and those proteins that are most responsible for these interactions, novel diagnostic features and therapeutic targets can be established.
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Affiliation(s)
- Ming Zhou
- National Cancer Institute at Frederick, Laboratory of Proteomics and Analytical Technologies, SAIC-Frederick Inc., Frederick, MD 21702-1201, USA.
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35
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Orrù S, Aspesi A, Armiraglio M, Caterino M, Loreni F, Ruoppolo M, Santoro C, Dianzani I. Analysis of the ribosomal protein S19 interactome. Mol Cell Proteomics 2006; 6:382-93. [PMID: 17151020 DOI: 10.1074/mcp.m600156-mcp200] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Ribosomal protein S19 (RPS19) is a 16-kDa protein found mainly as a component of the ribosomal 40 S subunit. Its mutations are responsible for Diamond Blackfan anemia, a congenital disease characterized by defective erythroid progenitor maturation. Dysregulation of RPS19 has therefore been implicated in this defective erythropoiesis, although the link between them is still unclear. Two not mutually exclusive hypotheses have been proposed: altered protein synthesis and loss of unknown functions not directly connected with the structural role of RPS19 in the ribosome. A role in rRNA processing has been surmised for the yeast ortholog, whereas the extracellular RPS19 dimer has a monocyte chemotactic activity. Three proteins are known to interact with RPS19: FGF2, complement component 5 receptor 1, and a nucleolar protein called RPS19-binding protein. We have used a yeast two-hybrid approach to identify a fourth protein: the serine-threonine kinase PIM1. The present study describes our use of proteomics strategies to look for proteins interacting with RPS19 to determine its functions. Proteins were isolated by affinity purification with a GST-RPS19 recombinant protein and identified using LCMS/MS analysis coupled to bioinformatics tools. We identified 159 proteins from the following Gene Ontology categories: NTPases (ATPases and GTPases; five proteins), hydrolases/helicases (19 proteins), isomerases (two proteins), kinases (three proteins), splicing factors (five proteins), structural constituents of ribosome (29 proteins), transcription factors (11 proteins), transferases (five proteins), transporters (nine proteins), DNA/RNA-binding protein species (53 proteins), other (one dehydrogenase protein, one ligase protein, one peptidase protein, one receptor protein, and one translation elongation factor), and 13 proteins of still unknown function. Proteomics results were validated by affinity purification and Western blotting. These interactions were further confirmed by co-immunoprecipitation using a monoclonal RPS19 antibody. Many interactors are nucleolar proteins and thus are expected to take part in the RPS19 interactome; however, some proteins suggest additional functional roles for RPS19.
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Affiliation(s)
- Stefania Orrù
- Centro di Ingegneria Genetica (CEINGE) Advanced Biotechnologies scarl, 80131 Napoli, Italy
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36
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Wu JC, Cao F, Dutta S, Xie X, Kim E, Chungfat N, Gambhir S, Mathewson S, Connolly AJ, Brown M, Wang EW. Proteomic analysis of reporter genes for molecular imaging of transplanted embryonic stem cells. Proteomics 2006; 6:6234-49. [PMID: 17080479 PMCID: PMC3683542 DOI: 10.1002/pmic.200600150] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Study of stem cells may reveal promising treatment for diseases. The fate and function of transplanted stem cells remain poorly defined. Recent studies demonstrate that reporter genes can monitor real-time survival of transplanted stem cells in living subjects. We examined the effects of a novel and versatile triple fusion (TF) reporter gene construction on embryonic stem (ES) cell function by proteomic analysis. Murine ES cells were stably transduced with a self-inactivating lentiviral vector containing fluorescence (firefly luciferase; Fluc), bioluminescence (monomeric red fluorescence protein; mRFP), and positron emission tomography (herpes simplex virus type 1 truncated thymidine kinase; tTK) reporter genes. Fluorescence-activated cell sorting (FACS) analysis isolated stably transduced populations. TF reporter gene effects on cellular function were evaluated by quantitative proteomic profiling of control ES cells versus ES cells stably expressing the TF construct (ES-TF). Overall, no significant changes in protein quantity were observed. TF reporter gene expression had no effect on ES cell viability, proliferation, and differentiation capability. Molecular imaging studies tracked ES-TF cell survival and proliferation in living animals. In summary, this is the first proteomic study, demonstrating the unique potential of reporter gene imaging for tracking ES cell transplantation non-invasively, repetitively, and quantitatively.
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Affiliation(s)
- Joseph C. Wu
- Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, CA, USA
| | - Feng Cao
- Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, CA, USA
| | - Sucharita Dutta
- Department of Pathology, Stanford Proteomics and Integrative Research Facility (SPIR), Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaoyan Xie
- Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, CA, USA
| | - Elmer Kim
- Department of Pathology, Stanford Proteomics and Integrative Research Facility (SPIR), Stanford University School of Medicine, Stanford, CA, USA
| | - Neil Chungfat
- Department of Pathology, Stanford Proteomics and Integrative Research Facility (SPIR), Stanford University School of Medicine, Stanford, CA, USA
| | - Sanjiv Gambhir
- Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford, CA, USA
| | - Sean Mathewson
- Department of Pathology, Stanford Proteomics and Integrative Research Facility (SPIR), Stanford University School of Medicine, Stanford, CA, USA
| | - Andrew J. Connolly
- The Department of Pathology and Developmental Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew Brown
- Department of Pathology, Stanford Proteomics and Integrative Research Facility (SPIR), Stanford University School of Medicine, Stanford, CA, USA
| | - Evelyn W. Wang
- Department of Pathology, Stanford Proteomics and Integrative Research Facility (SPIR), Stanford University School of Medicine, Stanford, CA, USA
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Abstract
Phosphoproteomics can be defined as the comprehensive study of protein phosphorylation by identification of the phosphoproteins, exact mapping of the phosphorylation sites, quantification of phosphorylation, and eventually, revealing their biological function. Its place in today's research is vitally important to address the most fundamental question - how the phosphorylation events control most, if not all, of the cellular processes in a given organism? Despite the immense importance of phosphorylation, the analysis of phosphoproteins on a proteome-wide scale remains a formidable challenge. Nevertheless, several technologies have been developed, mostly in yeast and mammals, to conduct a large-scale phosphoproteomic study. Some of these technologies have been successfully applied to plants with a few modifications, resulting in documentation of phosphoproteins, phosphorylation site mapping, identification of protein kinase substrates, etc. at the global level. In this review, we summarize in vitro and in vivo approaches for detection and analysis of phosphoproteins including protein kinases and we discuss the importance of phosphoproteomics in understanding plant biology. These approaches along with bioinformatics will help plant researchers to design and apply suitable phosphoproteomic strategies in helping to find answers to their biological questions.
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Affiliation(s)
- Birgit Kersten
- RZPD German Resource Center for Genome Research GmbH, Berlin, Germany
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Krause F. Detection and analysis of protein–protein interactions in organellar and prokaryotic proteomes by native gel electrophoresis: (Membrane) protein complexes and supercomplexes. Electrophoresis 2006; 27:2759-81. [PMID: 16817166 DOI: 10.1002/elps.200600049] [Citation(s) in RCA: 144] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
It is an essential and challenging task to unravel protein-protein interactions in their actual in vivo context. Native gel systems provide a separation platform allowing the analysis of protein complexes on a rather proteome-wide scale in a single experiment. This review focus on blue-native (BN)-PAGE as the most versatile and successful gel-based approach to separate soluble and membrane protein complexes of intricate protein mixtures derived from all biological sources. BN-PAGE is a charge-shift method with a running pH of 7.5 relying on the gentle binding of anionic CBB dye to all membrane and many soluble protein complexes, leading to separation of protein species essentially according to their size and superior resolution than other fractionation techniques can offer. The closely related colorless-native (CN)-PAGE, whose applicability is restricted to protein species with intrinsic negative net charge, proved to provide an especially mild separation capable of preserving weak protein-protein interactions better than BN-PAGE. The essential conditions determining the success of detecting protein-protein interactions are the sample preparations, e.g. the efficiency/mildness of the detergent solubilization of membrane protein complexes. A broad overview about the achievements of BN- and CN-PAGE studies to elucidate protein-protein interactions in organelles and prokaryotes is presented, e.g. the mitochondrial protein import machinery and oxidative phosphorylation supercomplexes. In many cases, solubilization with digitonin was demonstrated to facilitate an efficient and particularly gentle extraction of membrane protein complexes prone to dissociation by treatment with other detergents. In general, analyses of protein interactomes should be carried out by both BN- and CN-PAGE.
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Affiliation(s)
- Frank Krause
- Department of Chemistry, Physical Biochemistry, Darmstadt University of Technology, Germany.
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Buhimschi CS, Weiner CP, Buhimschi IA. Clinical Proteomics: A Novel Diagnostic Tool for the New Biology of Preterm Labor, Part I: Proteomics Tools. Obstet Gynecol Surv 2006; 61:481-6. [PMID: 16787551 DOI: 10.1097/01.ogx.0000224617.11789.ab] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The molecular mechanisms regulating myometrial contractility and preterm premature rupture of the membranes leading to preterm birth are poorly understood. The completion of the human genome sequence led to the development of functional genomics and gene array technology to simultaneously identify candidate genes potentially involved in regulation of human parturition. However, the study of living systems can now be expanded past genomics based on the rationale that it is the protein products of the genes, not simply gene expression, that have effects and cause disturbances at the cellular level. Therefore, identification of disease biomarkers, followed by a description of their functional networks, has the potential to significantly aid the development of new strategies for the prediction, diagnosis, and prevention of preterm birth. Interest in mass spectrometry and its use as a new clinical diagnostic tool has grown rapidly and is poised to become an important medical field for the next century.
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Affiliation(s)
- Catalin S Buhimschi
- Department of Obstetrics, Gynecology and Reproductive Science, Yale University School of Medicine, New Haven, Connecticut 06520-8063, USA.
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Kim N, Lee Y, Kim H, Joo H, Youm JB, Park WS, Warda M, Cuong DV, Han J. Potential biomarkers for ischemic heart damage identified in mitochondrial proteins by comparative proteomics. Proteomics 2006; 6:1237-49. [PMID: 16402359 DOI: 10.1002/pmic.200500291] [Citation(s) in RCA: 83] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
We used proteomics to detect regional differences in protein expression levels from mitochondrial fractions of control, ischemia-reperfusion (IR), and ischemic preconditioned (IPC) rabbit hearts. Using 2-DE, we identified 25 mitochondrial proteins that were differentially expressed in the IR heart compared with the control and IPC hearts. For three of the spots, the expression patterns were confirmed by Western blotting analysis. These proteins included 3-hydroxybutyrate dehydrogenase, prohibitin, 2-oxoglutarate dehydrogenase, adenosine triphosphate synthases, the reduced form of nicotinamide adenine dinucleotide (NADH) oxidoreductase, translation elongation factor, actin alpha, malate dehydrogenase, NADH dehydrogenase, pyruvate dehydrogenase and the voltage-dependent anion channel. Interestingly, most of these proteins are associated with the mitochondrial respiratory chain and energy metabolism. The successful use of multiple techniques, including 2-DE, MALDI-TOF-MS and Western blotting analysis demonstrates that proteomic analysis provides appropriate means for identifying cardiac markers for detection of ischemia-induced cardiac injury.
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Affiliation(s)
- Nari Kim
- Mitochondrial Signaling Laboratory, Department of Physiology and Biophysics, College of Medicine, Cardiovascular and Metabolic Diseases Research Center, Biohealth Products Research Center, Inje University, Busanjin-Gu, Busan, Korea
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41
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Abstract
It has now become apparent that a full understanding of a biological process (e.g. a disease state) is only possible if all biomolecular interactions are taken into account. Systems biology works towards understanding the intricacies of cellular life through the collaborative efforts of biologists, chemists, mathematicians and computer scientists and recently, a number of laboratories around the world have embarked upon such research agendas. The fields of genomics and proteomics are foundational in systems biology studies and a great deal of research is currently being conducted in each worldwide. Moreover, many technological advances (particularly in mass spectrometry) have led to a dramatic rise in the number of proteomic studies over the past two decades. This short review summarizes a selection of technological innovations in proteomics that contribute to systems biology studies.
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Affiliation(s)
- Jeffrey C Smith
- Ottawa Institute of Systems Biology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
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