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Xie Y, Gong S, Wang L, Yang Z, Yang C, Li G, Zha H, Lv S, Xiao B, Chen X, Di Z, He Q, Wang J, Weng Q. Unraveling the treatment effects of huanglian jiedu decoction on drug-induced liver injury based on network pharmacology, molecular docking and experimental validation. BMC Complement Med Ther 2024; 24:219. [PMID: 38849824 PMCID: PMC11157734 DOI: 10.1186/s12906-024-04517-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 05/22/2024] [Indexed: 06/09/2024] Open
Abstract
Huanglian Jiedu Decoction (HJD) is a well-known Traditional Chinese Medicine formula that has been used for liver protection in thousands of years. However, the therapeutic effects and mechanisms of HJD in treating drug-induced liver injury (DILI) remain unknown. In this study, a total of 26 genes related to both HJD and DILI were identified, which are corresponding to a total of 41 potential active compounds in HJD. KEGG analysis revealed that Tryptophan metabolism pathway is particularly important. The overlapped genes from KEGG and GO analysis indicated the significance of CYP1A1, CYP1A2, and CYP1B1. Experimental results confirmed that HJD has a protective effect on DILI through Tryptophan metabolism pathway. In addition, the active ingredients Corymbosin, and Moslosooflavone were found to have relative strong intensity in UPLC-Q-TOF-MS/MS analysis, showing interactions with CYP1A1, CYP1A2, and CYP1B1 through molecule docking. These findings could provide insights into the treatment effects of HJD on DILI.
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Affiliation(s)
- Yaochen Xie
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
| | - Shuchen Gong
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
- Taizhou Institute of Zhejiang University, Taizhou, 318000, China
- Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Lingkun Wang
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
| | - Zhaoxu Yang
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
| | - Chen Yang
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
| | - Guilin Li
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
| | - Huiyan Zha
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
| | - Shuying Lv
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
| | - Boneng Xiao
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
- Hangzhou Institute of Innovative Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Xiaoyu Chen
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
| | - Zhenning Di
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Qiaojun He
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China
- ZJU-Xinchang Joint Innovation Center (TianMu Laboratory), Gaochuang Hi-Tech Park, Xinchang, 312500, Zhejiang, China
- Department of Cardiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Jincheng Wang
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China.
- Taizhou Institute of Zhejiang University, Taizhou, 318000, China.
- Beijing Life Science Academy, Beijing, 102200, China.
| | - Qinjie Weng
- Center for Drug Safety Evaluation and Research, Zhejiang Province Key Laboratory of Anti- Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310007, China.
- Taizhou Institute of Zhejiang University, Taizhou, 318000, China.
- ZJU-Xinchang Joint Innovation Center (TianMu Laboratory), Gaochuang Hi-Tech Park, Xinchang, 312500, Zhejiang, China.
- The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
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Adnane M, de Almeida AM, Chapwanya A. Unveiling the power of proteomics in advancing tropical animal health and production. Trop Anim Health Prod 2024; 56:182. [PMID: 38825622 DOI: 10.1007/s11250-024-04037-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 05/20/2024] [Indexed: 06/04/2024]
Abstract
Proteomics, the large-scale study of proteins in biological systems has emerged as a pivotal tool in the field of animal and veterinary sciences, mainly for investigating local and rustic breeds. Proteomics provides valuable insights into biological processes underlying animal growth, reproduction, health, and disease. In this review, we highlight the key proteomics technologies, methodologies, and their applications in domestic animals, particularly in the tropical context. We also discuss advances in proteomics research, including integration of multi-omics data, single-cell proteomics, and proteogenomics, all of which are promising for improving animal health, adaptation, welfare, and productivity. However, proteomics research in domestic animals faces challenges, such as sample preparation variation, data quality control, privacy and ethical considerations relating to animal welfare. We also provide recommendations for overcoming these challenges, emphasizing the importance of following best practices in sample preparation, data quality control, and ethical compliance. We therefore aim for this review to harness the full potential of proteomics in advancing our understanding of animal biology and ultimately improve animal health and productivity in local breeds of diverse animal species in a tropical context.
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Affiliation(s)
- Mounir Adnane
- Department of Biomedicine, Institute of Veterinary Sciences, University of Tiaret, Tiaret, 14000, Algeria.
| | - André M de Almeida
- LEAF-Linking Landscape, Environment, Agriculture and Food Research Center, Associate Laboratory TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa, 1349-017, Portugal
| | - Aspinas Chapwanya
- Department of Clinical Sciences, Ross University School of Veterinary Medicine, Basseterre, 00265, Saint Kitts and Nevis
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Iacobucci I, Monaco V, Hovasse A, Dupouy B, Keumoe R, Cichocki B, Elhabiri M, Meunier B, Strub JM, Monti M, Cianférani S, Blandin SA, Schaeffer-Reiss C, Davioud-Charvet E. Proteomic Profiling of Antimalarial Plasmodione Using 3-Benz(o)ylmenadione Affinity-Based Probes. Chembiochem 2024:e202400187. [PMID: 38639212 DOI: 10.1002/cbic.202400187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 04/20/2024]
Abstract
Understanding the mechanisms of drug action in malarial parasites is crucial for the development of new drugs to combat infection and to counteract drug resistance. Proteomics is a widely used approach to study host-pathogen systems and to identify drug protein targets. Plasmodione is an antiplasmodial early-lead drug exerting potent activities against young asexual and sexual blood stages in vitro with low toxicity to host cells. To elucidate its molecular mechanisms, an affinity-based protein profiling (AfBPP) approach was applied to yeast and P. falciparum proteomes. New (pro-) AfBPP probes based on the 3-benz(o)yl-6-fluoro-menadione scaffold were synthesized. With optimized conditions of both photoaffinity labeling and click reaction steps, the AfBPP protocol was then applied to a yeast proteome, yielding 11 putative drug-protein targets. Among these, we found four proteins associated with oxidoreductase activities, the hypothesized type of targets for plasmodione and its metabolites, and other proteins associated with the mitochondria. In Plasmodium parasites, the MS analysis revealed 44 potential plasmodione targets that need to be validated in further studies. Finally, the localization of a 3-benzyl-6-fluoromenadione AfBPP probe was studied in the subcellular structures of the parasite at the trophozoite stage.
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Affiliation(s)
- Ilaria Iacobucci
- Laboratoire d'Innovation Moléculaire et Applications (LIMA), Team Bio(IN)organic & Medicinal Chemistry, UMR7042 CNRS-Université de Strasbourg-Université Haute-Alsace, European School of Chemistry, Polymers and Materials (ECPM), 25, rue Becquerel, 25, rue Becquerel, F-67087, Strasbourg, France
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178 CNRS, Université de Strasbourg, 67087, Strasbourg, France
- Infrastructure Nationale de Protéomique ProFI - FR2048, F-67087, Strasbourg, France
- Department of Chemical Sciences, University of Naples Federico II, Complesso Universitario di Monte Sant' Angelo, Via Cintia 26, I-80126, Napoli, Italy
| | - Vittoria Monaco
- Laboratoire d'Innovation Moléculaire et Applications (LIMA), Team Bio(IN)organic & Medicinal Chemistry, UMR7042 CNRS-Université de Strasbourg-Université Haute-Alsace, European School of Chemistry, Polymers and Materials (ECPM), 25, rue Becquerel, 25, rue Becquerel, F-67087, Strasbourg, France
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178 CNRS, Université de Strasbourg, 67087, Strasbourg, France
- Infrastructure Nationale de Protéomique ProFI - FR2048, F-67087, Strasbourg, France
- Department of Chemical Sciences, University of Naples Federico II, Complesso Universitario di Monte Sant' Angelo, Via Cintia 26, I-80126, Napoli, Italy
| | - Agnès Hovasse
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178 CNRS, Université de Strasbourg, 67087, Strasbourg, France
- Infrastructure Nationale de Protéomique ProFI - FR2048, F-67087, Strasbourg, France
| | - Baptiste Dupouy
- Laboratoire d'Innovation Moléculaire et Applications (LIMA), Team Bio(IN)organic & Medicinal Chemistry, UMR7042 CNRS-Université de Strasbourg-Université Haute-Alsace, European School of Chemistry, Polymers and Materials (ECPM), 25, rue Becquerel, 25, rue Becquerel, F-67087, Strasbourg, France
| | - Rodrigue Keumoe
- Institut de Biologie Moléculaire et Cellulaire, INSERM U1257 - CNRS UPR9022 - Université de Strasbourg, 2, Allée Konrad Roentgen, -67084, Strasbourg, France
| | - Bogdan Cichocki
- Laboratoire d'Innovation Moléculaire et Applications (LIMA), Team Bio(IN)organic & Medicinal Chemistry, UMR7042 CNRS-Université de Strasbourg-Université Haute-Alsace, European School of Chemistry, Polymers and Materials (ECPM), 25, rue Becquerel, 25, rue Becquerel, F-67087, Strasbourg, France
| | - Mourad Elhabiri
- Laboratoire d'Innovation Moléculaire et Applications (LIMA), Team Bio(IN)organic & Medicinal Chemistry, UMR7042 CNRS-Université de Strasbourg-Université Haute-Alsace, European School of Chemistry, Polymers and Materials (ECPM), 25, rue Becquerel, 25, rue Becquerel, F-67087, Strasbourg, France
| | - Brigitte Meunier
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris-Sud, Université Paris-Saclay, 91198, Gif-Sur-Yvette Cedex, France
| | - Jean-Marc Strub
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178 CNRS, Université de Strasbourg, 67087, Strasbourg, France
- Infrastructure Nationale de Protéomique ProFI - FR2048, F-67087, Strasbourg, France
| | - Maria Monti
- Department of Chemical Sciences, University of Naples Federico II, Complesso Universitario di Monte Sant' Angelo, Via Cintia 26, I-80126, Napoli, Italy
| | - Sarah Cianférani
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178 CNRS, Université de Strasbourg, 67087, Strasbourg, France
- Infrastructure Nationale de Protéomique ProFI - FR2048, F-67087, Strasbourg, France
| | - Stéphanie A Blandin
- Institut de Biologie Moléculaire et Cellulaire, INSERM U1257 - CNRS UPR9022 - Université de Strasbourg, 2, Allée Konrad Roentgen, -67084, Strasbourg, France
| | - Christine Schaeffer-Reiss
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR 7178 CNRS, Université de Strasbourg, 67087, Strasbourg, France
- Infrastructure Nationale de Protéomique ProFI - FR2048, F-67087, Strasbourg, France
| | - Elisabeth Davioud-Charvet
- Laboratoire d'Innovation Moléculaire et Applications (LIMA), Team Bio(IN)organic & Medicinal Chemistry, UMR7042 CNRS-Université de Strasbourg-Université Haute-Alsace, European School of Chemistry, Polymers and Materials (ECPM), 25, rue Becquerel, 25, rue Becquerel, F-67087, Strasbourg, France
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4
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Zhao A, Varady S, O'Kelley-Bangsberg M, Deng V, Platenkamp A, Wijngaard P, Bern M, Gormley W, Kushkowski E, Thompson K, Tibbetts L, Conner AT, Noeckel D, Teran A, Ritz A, Applewhite DA. From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway. BMC Mol Cell Biol 2023; 24:32. [PMID: 37821823 PMCID: PMC10568788 DOI: 10.1186/s12860-023-00492-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 09/29/2023] [Indexed: 10/13/2023] Open
Abstract
The morphogenetic process of apical constriction, which relies on non-muscle myosin II (NMII) generated constriction of apical domains of epithelial cells, is key to the development of complex cellular patterns. Apical constriction occurs in almost all multicellular organisms, but one of the most well-characterized systems is the Folded-gastrulation (Fog)-induced apical constriction that occurs in Drosophila. The binding of Fog to its cognizant receptors Mist/Smog results in a signaling cascade that leads to the activation of NMII-generated contractility. Despite our knowledge of key molecular players involved in Fog signaling, we sought to explore whether other proteins have an undiscovered role in its regulation. We developed a computational method to predict unidentified candidate NMII regulators using a network of pairwise protein-protein interactions called an interactome. We first constructed a Drosophila interactome of over 500,000 protein-protein interactions from several databases that curate high-throughput experiments. Next, we implemented several graph-based algorithms that predicted 14 proteins potentially involved in Fog signaling. To test these candidates, we used RNAi depletion in combination with a cellular contractility assay in Drosophila S2R + cells, which respond to Fog by contracting in a stereotypical manner. Of the candidates we screened using this assay, two proteins, the serine/threonine phosphatase Flapwing and the putative guanylate kinase CG11811 were demonstrated to inhibit cellular contractility when depleted, suggestive of their roles as novel regulators of the Fog pathway.
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Affiliation(s)
- Andy Zhao
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Sophia Varady
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | | | - Vicki Deng
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Amy Platenkamp
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Petra Wijngaard
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Miriam Bern
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Wyatt Gormley
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Elaine Kushkowski
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Kat Thompson
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Logan Tibbetts
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - A Tamar Conner
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - David Noeckel
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Aidan Teran
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA
| | - Anna Ritz
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA.
| | - Derek A Applewhite
- Reed College Department of Biology, 3203 SE Woodstock Blvd, Portland, OR, 97202, USA.
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5
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Hua L, Wang D, Wang K, Wang Y, Gu J, Zhang Q, You Q, Wang L. Design of Tracers in Fluorescence Polarization Assay for Extensive Application in Small Molecule Drug Discovery. J Med Chem 2023; 66:10934-10958. [PMID: 37561645 DOI: 10.1021/acs.jmedchem.3c00881] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Development of fluorescence polarization (FP) assays, especially in a competitive manner, is a potent and mature tool for measuring the binding affinities of small molecules. This approach is suitable for high-throughput screening (HTS) for initial ligands and is also applicable for further study of the structure-activity relationships (SARs) of candidate compounds for drug discovery. Buffer and tracer, especially rational design of the tracer, play a vital role in an FP assay system. In this perspective, we provided different kinds of approaches for tracer design based on successful cases in recent years. We classified these tracers by different types of ligands in tracers, including peptide, nucleic acid, natural product, and small molecule. To make this technology accessible for more targets, we briefly described the basic theory and workflow, followed by highlighting the design and application of typical FP tracers from a perspective of medicinal chemistry.
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Affiliation(s)
- Liwen Hua
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China
| | - Danni Wang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China
| | - Keran Wang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China
| | - Yuxuan Wang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China
| | - Jinying Gu
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China
| | - Qiuyue Zhang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China
| | - Qidong You
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China
| | - Lei Wang
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China
- Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China
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Hasman M, Mayr M, Theofilatos K. Uncovering Protein Networks in Cardiovascular Proteomics. Mol Cell Proteomics 2023; 22:100607. [PMID: 37356494 PMCID: PMC10460687 DOI: 10.1016/j.mcpro.2023.100607] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 05/01/2023] [Accepted: 06/20/2023] [Indexed: 06/27/2023] Open
Abstract
Biological networks have been widely used in many different diseases to identify potential biomarkers and design drug targets. In the present review, we describe the main computational techniques for reconstructing and analyzing different types of protein networks and summarize the previous applications of such techniques in cardiovascular diseases. Existing tools are critically compared, discussing when each method is preferred such as the use of co-expression networks for functional annotation of protein clusters and the use of directed networks for inferring regulatory associations. Finally, we are presenting examples of reconstructing protein networks of different types (regulatory, co-expression, and protein-protein interaction networks). We demonstrate the necessity to reconstruct networks separately for each cardiovascular tissue type and disease entity and provide illustrative examples of the importance of taking into consideration relevant post-translational modifications. Finally, we demonstrate and discuss how the findings of protein networks could be interpreted using single-cell RNA-sequencing data.
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Affiliation(s)
- Maria Hasman
- King's British Heart Foundation Centre, Kings College London, London, United Kingdom
| | - Manuel Mayr
- King's British Heart Foundation Centre, Kings College London, London, United Kingdom
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7
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Iacobucci I, La Manna S, Cipollone I, Monaco V, Canè L, Cozzolino F. From the Discovery of Targets to Delivery Systems: How to Decipher and Improve the Metallodrugs' Actions at a Molecular Level. Pharmaceutics 2023; 15:1997. [PMID: 37514183 PMCID: PMC10385150 DOI: 10.3390/pharmaceutics15071997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/13/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
Metals are indispensable for the life of all organisms, and their dysregulation leads to various disorders due to the disruption of their homeostasis. Nowadays, various transition metals are used in pharmaceutical products as diagnostic and therapeutic agents because their electronic structure allows them to adjust the properties of molecules differently from organic molecules. Therefore, interest in the study of metal-drug complexes from different aspects has been aroused, and numerous approaches have been developed to characterize, activate, deliver, and clarify molecular mechanisms. The integration of these different approaches, ranging from chemoproteomics to nanoparticle systems and various activation strategies, enables the understanding of the cellular responses to metal drugs, which may form the basis for the development of new drugs and/or the modification of currently used drugs. The purpose of this review is to briefly summarize the recent advances in this field by describing the technological platforms and their potential applications for identifying protein targets for discovering the mechanisms of action of metallodrugs and improving their efficiency during delivery.
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Affiliation(s)
- Ilaria Iacobucci
- UMR7042 CNRS-Unistra-UHA, Laboratoire d'Innovation Moléculaire et Applications (LIMA), European School of Chemistry, Polymers and Materials (ECPM), 67087 Strasbourg, France
- Department of Chemical Sciences, University of Naples Federico II, 80126 Naples, Italy
| | - Sara La Manna
- Department of Pharmacy, University of Naples Federico II, 80131 Naples, Italy
| | - Irene Cipollone
- Department of Chemical Sciences, University of Naples Federico II, 80126 Naples, Italy
- CEINGE Biotecnologie Avanzate "Franco Salvatore" S.c.a r.l., 80131 Naples, Italy
| | - Vittoria Monaco
- Department of Chemical Sciences, University of Naples Federico II, 80126 Naples, Italy
- CEINGE Biotecnologie Avanzate "Franco Salvatore" S.c.a r.l., 80131 Naples, Italy
| | - Luisa Canè
- CEINGE Biotecnologie Avanzate "Franco Salvatore" S.c.a r.l., 80131 Naples, Italy
- Department of Translational Medical Sciences, University of Naples "Federico II", 80131 Naples, Italy
| | - Flora Cozzolino
- Department of Chemical Sciences, University of Naples Federico II, 80126 Naples, Italy
- CEINGE Biotecnologie Avanzate "Franco Salvatore" S.c.a r.l., 80131 Naples, Italy
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Bartolec TK, Vázquez-Campos X, Norman A, Luong C, Johnson M, Payne RJ, Wilkins MR, Mackay JP, Low JKK. Cross-linking mass spectrometry discovers, evaluates, and corroborates structures and protein-protein interactions in the human cell. Proc Natl Acad Sci U S A 2023; 120:e2219418120. [PMID: 37071682 PMCID: PMC10151615 DOI: 10.1073/pnas.2219418120] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 03/16/2023] [Indexed: 04/19/2023] Open
Abstract
Significant recent advances in structural biology, particularly in the field of cryoelectron microscopy, have dramatically expanded our ability to create structural models of proteins and protein complexes. However, many proteins remain refractory to these approaches because of their low abundance, low stability, or-in the case of complexes-simply not having yet been analyzed. Here, we demonstrate the power of using cross-linking mass spectrometry (XL-MS) for the high-throughput experimental assessment of the structures of proteins and protein complexes. This included those produced by high-resolution but in vitro experimental data, as well as in silico predictions based on amino acid sequence alone. We present the largest XL-MS dataset to date, describing 28,910 unique residue pairs captured across 4,084 unique human proteins and 2,110 unique protein-protein interactions. We show that models of proteins and their complexes predicted by AlphaFold2, and inspired and corroborated by the XL-MS data, offer opportunities to deeply mine the structural proteome and interactome and reveal mechanisms underlying protein structure and function.
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Affiliation(s)
- Tara K. Bartolec
- Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Randwick, NSW2052, Australia
| | - Xabier Vázquez-Campos
- Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Randwick, NSW2052, Australia
| | - Alexander Norman
- School of Chemistry, University of Sydney, Sydney, NSW2006, Australia
| | - Clement Luong
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW2006, Australia
| | - Marcus Johnson
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW2006, Australia
| | - Richard J. Payne
- School of Chemistry, University of Sydney, Sydney, NSW2006, Australia
- Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Sydney, Sydney, NSW2006, Australia
| | - Marc R. Wilkins
- Systems Biology Initiative, School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Randwick, NSW2052, Australia
| | - Joel P. Mackay
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW2006, Australia
| | - Jason K. K. Low
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW2006, Australia
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Buneeva O, Kopylov A, Gnedenko O, Medvedeva M, Veselovsky A, Ivanov A, Zgoda V, Medvedev A. Proteomic Profiling of Mouse Brain Pyruvate Kinase Binding Proteins: A Hint for Moonlighting Functions of PKM1? Int J Mol Sci 2023; 24:ijms24087634. [PMID: 37108803 PMCID: PMC10143413 DOI: 10.3390/ijms24087634] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 04/29/2023] Open
Abstract
Affinity-based proteomic profiling is widely used for the identification of proteins involved in the formation of various interactomes. Since protein-protein interactions (PPIs) reflect the role of particular proteins in the cell, identification of interaction partners for a protein of interest can reveal its function. The latter is especially important for the characterization of multifunctional proteins, which can play different roles in the cell. Pyruvate kinase (PK), a classical glycolytic enzyme catalyzing the last step of glycolysis, exists in four isoforms: PKM1, PKM2, PKL, and PKR. The enzyme isoform expressed in actively dividing cells, PKM2, exhibits many moonlighting (noncanonical) functions. In contrast to PKM2, PKM1, predominantly expressed in adult differentiated tissues, lacks well-documented moonlighting functions. However, certain evidence exists that it can also perform some functions unrelated to glycolysis. In order to evaluate protein partners, bound to PKM1, in this study we have combined affinity-based separation of mouse brain proteins with mass spectrometry identification. The highly purified PKM1 and a 32-mer synthetic peptide (PK peptide), sharing high sequence homology with the interface contact region of all PK isoforms, were used as the affinity ligands. This proteomic profiling resulted in the identification of specific and common proteins bound to both affinity ligands. Quantitative affinity binding to the affinity ligands of selected identified proteins was validated using a surface plasmon resonance (SPR) biosensor. Bioinformatic analysis has shown that the identified proteins, bound to both full-length PKM1 and the PK peptide, form a protein network (interactome). Some of these interactions are relevant for the moonlighting functions of PKM1. The proteomic dataset is available via ProteomeXchange with the identifier PXD041321.
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Affiliation(s)
- Olga Buneeva
- Institute of Biomedical Chemistry, 10 Pogodinskaya Street, Moscow 119121, Russia
| | - Arthur Kopylov
- Institute of Biomedical Chemistry, 10 Pogodinskaya Street, Moscow 119121, Russia
| | - Oksana Gnedenko
- Institute of Biomedical Chemistry, 10 Pogodinskaya Street, Moscow 119121, Russia
| | - Marina Medvedeva
- Department of Biochemistry, School of Biology, Moscow State University, Moscow 119991, Russia
| | - Alexander Veselovsky
- Institute of Biomedical Chemistry, 10 Pogodinskaya Street, Moscow 119121, Russia
| | - Alexis Ivanov
- Institute of Biomedical Chemistry, 10 Pogodinskaya Street, Moscow 119121, Russia
| | - Victor Zgoda
- Institute of Biomedical Chemistry, 10 Pogodinskaya Street, Moscow 119121, Russia
| | - Alexei Medvedev
- Institute of Biomedical Chemistry, 10 Pogodinskaya Street, Moscow 119121, Russia
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10
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O'Reilly FJ, Graziadei A, Forbrig C, Bremenkamp R, Charles K, Lenz S, Elfmann C, Fischer L, Stülke J, Rappsilber J. Protein complexes in cells by AI-assisted structural proteomics. Mol Syst Biol 2023; 19:e11544. [PMID: 36815589 PMCID: PMC10090944 DOI: 10.15252/msb.202311544] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 01/24/2023] [Accepted: 02/07/2023] [Indexed: 02/24/2023] Open
Abstract
Accurately modeling the structures of proteins and their complexes using artificial intelligence is revolutionizing molecular biology. Experimental data enable a candidate-based approach to systematically model novel protein assemblies. Here, we use a combination of in-cell crosslinking mass spectrometry and co-fractionation mass spectrometry (CoFrac-MS) to identify protein-protein interactions in the model Gram-positive bacterium Bacillus subtilis. We show that crosslinking interactions prior to cell lysis reveals protein interactions that are often lost upon cell lysis. We predict the structures of these protein interactions and others in the SubtiWiki database with AlphaFold-Multimer and, after controlling for the false-positive rate of the predictions, we propose novel structural models of 153 dimeric and 14 trimeric protein assemblies. Crosslinking MS data independently validates the AlphaFold predictions and scoring. We report and validate novel interactors of central cellular machineries that include the ribosome, RNA polymerase, and pyruvate dehydrogenase, assigning function to several uncharacterized proteins. Our approach uncovers protein-protein interactions inside intact cells, provides structural insight into their interaction interfaces, and is applicable to genetically intractable organisms, including pathogenic bacteria.
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Affiliation(s)
- Francis J O'Reilly
- Chair of BioanalyticsTechnische Universität BerlinBerlinGermany
- Present address:
Center for Structural Biology, Center for Cancer ResearchNational Cancer Institute (NCI)FrederickMDUSA
| | | | | | - Rica Bremenkamp
- Department of General Microbiology, Institute of Microbiology and GeneticsAugust‐University GöttingenGöttingenGermany
| | | | - Swantje Lenz
- Chair of BioanalyticsTechnische Universität BerlinBerlinGermany
| | - Christoph Elfmann
- Department of General Microbiology, Institute of Microbiology and GeneticsAugust‐University GöttingenGöttingenGermany
| | - Lutz Fischer
- Chair of BioanalyticsTechnische Universität BerlinBerlinGermany
| | - Jörg Stülke
- Department of General Microbiology, Institute of Microbiology and GeneticsAugust‐University GöttingenGöttingenGermany
| | - Juri Rappsilber
- Chair of BioanalyticsTechnische Universität BerlinBerlinGermany
- Wellcome Centre for Cell BiologyUniversity of EdinburghEdinburghUK
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11
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Fasano M, Alberio T. Neurodegenerative disorders: From clinicopathology convergence to systems biology divergence. HANDBOOK OF CLINICAL NEUROLOGY 2023; 192:73-86. [PMID: 36796949 DOI: 10.1016/b978-0-323-85538-9.00007-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Neurodegenerative diseases are multifactorial. This means that several genetic, epigenetic, and environmental factors contribute to their emergence. Therefore, for the future management of these highly prevalent diseases, it is necessary to change perspective. If a holistic viewpoint is assumed, the phenotype (the clinicopathological convergence) emerges from the perturbation of a complex system of functional interactions among proteins (systems biology divergence). The systems biology top-down approach starts with the unbiased collection of sets of data generated through one or more -omics techniques and has the aim to identify the networks and the components that participate in the generation of a phenotype (disease), often without any available a priori knowledge. The principle behind the top-down method is that the molecular components that respond similarly to experimental perturbations are somehow functionally related. This allows the study of complex and relatively poorly characterized diseases without requiring extensive knowledge of the processes under investigation. In this chapter, the use of a global approach will be applied to the comprehension of neurodegeneration, with a particular focus on the two most prevalent ones, Alzheimer's and Parkinson's diseases. The final purpose is to distinguish disease subtypes (even with similar clinical manifestations) to launch a future of precision medicine for patients with these disorders.
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Affiliation(s)
- Mauro Fasano
- Department of Science and High Technology, University of Insubria, Busto Arsizio and Como, Italy; Center of Neuroscience, University of Insubria, Busto Arsizio and Como, Italy.
| | - Tiziana Alberio
- Department of Science and High Technology, University of Insubria, Busto Arsizio and Como, Italy; Center of Neuroscience, University of Insubria, Busto Arsizio and Como, Italy
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12
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Abstract
The combination of large-scale protein separation techniques, sophisticated mass spectrometry, and systems bioinformatics has led to the establishment of proteomics as a distinct discipline within the wider field of protein biochemistry. Both discovery proteomics and targeted proteomics are widely used in biological and biomedical research, whereby the analytical approaches can be broadly divided into proteoform-centric top-down proteomics versus peptide-centric bottom-up proteomics. This chapter outlines the scientific value of top-down proteomics and describes how fluorescence two-dimensional difference gel electrophoresis can be combined with the systematic analysis of crucial post-translational modifications. The concept of on-membrane digestion following the electrophoretic transfer of proteins and the usefulness of comparative two-dimensional immunoblotting are discussed.
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Affiliation(s)
- Kay Ohlendieck
- Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland.
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13
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Iacobucci I, Monaco V, Canè L, Bibbò F, Cioffi V, Cozzolino F, Guarino A, Zollo M, Monti M. Spike S1 domain interactome in non-pulmonary systems: A role beyond the receptor recognition. Front Mol Biosci 2022; 9:975570. [PMID: 36225252 PMCID: PMC9550266 DOI: 10.3389/fmolb.2022.975570] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 08/29/2022] [Indexed: 12/05/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes Coronavirus Disease 2019 (COVID-19), which, since 2019 in China, has rapidly become a worldwide pandemic. The aggressiveness and global spread were enhanced by the many SARS-CoV-2 variants that have been isolated up to now. These mutations affect mostly the viral glycoprotein Spike (S), the capsid protein mainly involved in the early stages of viral entry processes, through the recognition of specific receptors on the host cell surface. In particular, the subunit S1 of the Spike glycoprotein contains the Receptor Binding Domain (RBD) and it is responsible for the interaction with the angiotensin-converting enzyme 2 (ACE2). Although ACE2 is the primary Spike host receptor currently studied, it has been demonstrated that SARS-CoV-2 is also able to infect cells expressing low levels of ACE2, indicating that the virus may have alternative receptors on the host cells. The identification of the alternative receptors can better elucidate the pathogenicity and the tropism of SARS-CoV-2. Therefore, we investigated the Spike S1 interactomes, starting from host membrane proteins of non-pulmonary cell lines, such as human kidney (HK-2), normal colon (NCM460D), and colorectal adenocarcinoma (Caco-2). We employed an affinity purification-mass spectrometry (AP-MS) to pull down, from the membrane protein extracts of all cell lines, the protein partners of the recombinant form of the Spike S1 domain. The purified interactors were identified by a shotgun proteomics approach. The lists of S1 potential interacting proteins were then clusterized according to cellular localization, biological processes, and pathways, highlighting new possible S1 intracellular functions, crucial not only for the entrance mechanisms but also for viral replication and propagation processes.
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Affiliation(s)
- Ilaria Iacobucci
- Department of Chemical Sciences, University of Naples “Federico II”, Naples, Italy
- CEINGE Advanced Biotechnologies, Naples, Italy
| | - Vittoria Monaco
- Department of Chemical Sciences, University of Naples “Federico II”, Naples, Italy
- CEINGE Advanced Biotechnologies, Naples, Italy
| | - Luisa Canè
- CEINGE Advanced Biotechnologies, Naples, Italy
- Department of Translational Medical Sciences, University of Naples “Federico II”, Naples, Italy
| | - Francesca Bibbò
- CEINGE Advanced Biotechnologies, Naples, Italy
- Department of Molecular Medicine and Medical Biotechnologies (DMMBM), University of Naples “Federico II”, Naples, Italy
| | - Valentina Cioffi
- Department of Translational Medical Science, Section of Pediatrics, University of Naples “Federico II”, Naples, Italy
| | - Flora Cozzolino
- Department of Chemical Sciences, University of Naples “Federico II”, Naples, Italy
- CEINGE Advanced Biotechnologies, Naples, Italy
| | - Alfredo Guarino
- Department of Translational Medical Science, Section of Pediatrics, University of Naples “Federico II”, Naples, Italy
| | - Massimo Zollo
- CEINGE Advanced Biotechnologies, Naples, Italy
- Department of Molecular Medicine and Medical Biotechnologies (DMMBM), University of Naples “Federico II”, Naples, Italy
| | - Maria Monti
- Department of Chemical Sciences, University of Naples “Federico II”, Naples, Italy
- CEINGE Advanced Biotechnologies, Naples, Italy
- *Correspondence: Maria Monti,
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14
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Ferreira de Oliveira N, Sachetto ATA, Santoro ML. Two-Dimensional Blue Native/SDS Polyacrylamide Gel Electrophoresis for Analysis of Brazilian Bothrops Snake Venoms. Toxins (Basel) 2022; 14:toxins14100661. [PMID: 36287928 PMCID: PMC9611221 DOI: 10.3390/toxins14100661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/16/2022] [Accepted: 09/19/2022] [Indexed: 11/16/2022] Open
Abstract
Viperidae snakes are the most important agents of snakebites in Brazil. The protein composition of snake venoms has been frequently analyzed by means of electrophoretic techniques, but the interaction of proteins in venoms has barely been addressed. An electrophoretic technique that has gained prominence to study this type of interaction is blue native polyacrylamide gel electrophoresis (BN-PAGE), which allows for the high-resolution separation of proteins in their native form. These protein complexes can be further discriminated by a second-dimension gel electrophoresis (SDS-PAGE) from lanes cut from BN-PAGE. Once there is no study on the use of bidimensional BN/SDS-PAGE with snake venoms, this study initially standardized the BN/SDS-PAGE technique in order to evaluate protein interactions in Bothrops atrox, Bothrops erythromelas, and Bothrops jararaca snake venoms. Results of BN/SDS-PAGE showed that native protein complexes were present, and that snake venom metalloproteinases and venom serine proteinases maintained their enzymatic activity after BN/SDS-PAGE. C-type lectin-like proteins were identified by Western blotting. Therefore, bidimensional BN/SDS-PAGE proved to be an easy, practical, and efficient method for separating functional venom proteins according to their assemblage in complexes, as well as to analyze their biological activities in further details.
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Affiliation(s)
- Natacha Ferreira de Oliveira
- Laboratório de Fisiopatologia, Instituto Butantan, São Paulo 05503-900, SP, Brazil
- Escola Superior do Instituto Butantan (ESIB), Instituto Butantan, São Paulo 05503-900, SP, Brazil
| | - Ana Teresa Azevedo Sachetto
- Laboratório de Fisiopatologia, Instituto Butantan, São Paulo 05503-900, SP, Brazil
- Escola Superior do Instituto Butantan (ESIB), Instituto Butantan, São Paulo 05503-900, SP, Brazil
- Programa de Pós-Graduação em Ciências Médicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-000, SP, Brazil
| | - Marcelo Larami Santoro
- Laboratório de Fisiopatologia, Instituto Butantan, São Paulo 05503-900, SP, Brazil
- Escola Superior do Instituto Butantan (ESIB), Instituto Butantan, São Paulo 05503-900, SP, Brazil
- Programa de Pós-Graduação em Ciências Médicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-000, SP, Brazil
- Correspondence: or ; Tel.: +55-11-2627-9559
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15
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Li Q, Wu X, Zheng J, Wu B, Jian H, Sun C, Tang Y. Determination of Pork Meat Storage Time Using Near-Infrared Spectroscopy Combined with Fuzzy Clustering Algorithms. Foods 2022; 11:foods11142101. [PMID: 35885343 PMCID: PMC9323386 DOI: 10.3390/foods11142101] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/09/2022] [Accepted: 07/12/2022] [Indexed: 02/04/2023] Open
Abstract
The identification of pork meat quality is a significant issue in food safety. In this paper, a novel strategy was proposed for identifying pork meat samples at different storage times via Fourier transform near-infrared (FT-NIR) spectroscopy and fuzzy clustering algorithms. Firstly, the FT-NIR spectra of pork meat samples were collected by an Antaris II spectrometer. Secondly, after spectra preprocessing with multiplicative scatter correction (MSC), the orthogonal linear discriminant analysis (OLDA) method was applied to reduce the dimensionality of the FT-NIR spectra to obtain the discriminant information. Finally, fuzzy C-means (FCM) clustering, K-harmonic means (KHM) clustering, and Gustafson–Kessel (GK) clustering were performed to establish the recognition model and classify the feature information. The highest clustering accuracies of FCM and KHM were both 93.18%, and GK achieved a clustering accuracy of 65.90%. KHM performed the best in the FT-NIR data of pork meat considering the clustering accuracy and computation. The overall experiment results demonstrated that the combination of FT-NIR spectroscopy and fuzzy clustering algorithms is an effective method for distinguishing pork meat storage times and has great application potential in quality evaluation of other kinds of meat.
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Affiliation(s)
- Qiulin Li
- Institute of Talented Engineering Students, Jiangsu University, Zhenjiang 212013, China; (Q.L.); (C.S.); (Y.T.)
| | - Xiaohong Wu
- School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China;
- High-Tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province, Jiangsu University, Zhenjiang 212013, China
| | - Jun Zheng
- Department of Electrical and Control Engineering, Research Institute of Zhejiang University-Taizhou, Taizhou 318000, China
- Correspondence:
| | - Bin Wu
- Department of Information Engineering, Chuzhou Polytechnic, Chuzhou 239000, China;
| | - Hao Jian
- China Railway Construction Electrification Bureau Group Co., Ltd., Beijing 100020, China;
| | - Changzhi Sun
- Institute of Talented Engineering Students, Jiangsu University, Zhenjiang 212013, China; (Q.L.); (C.S.); (Y.T.)
| | - Yibiao Tang
- Institute of Talented Engineering Students, Jiangsu University, Zhenjiang 212013, China; (Q.L.); (C.S.); (Y.T.)
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16
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Tay DJW, Lew ZZR, Chu JJH, Tan KS. Uncovering Novel Viral Innate Immune Evasion Strategies: What Has SARS-CoV-2 Taught Us? Front Microbiol 2022; 13:844447. [PMID: 35401477 PMCID: PMC8984613 DOI: 10.3389/fmicb.2022.844447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 02/17/2022] [Indexed: 11/13/2022] Open
Abstract
The ongoing SARS-CoV-2 pandemic has tested the capabilities of public health and scientific community. Since the dawn of the twenty-first century, viruses have caused several outbreaks, with coronaviruses being responsible for 2: SARS-CoV in 2007 and MERS-CoV in 2013. As the border between wildlife and the urban population continue to shrink, it is highly likely that zoonotic viruses may emerge more frequently. Furthermore, it has been shown repeatedly that these viruses are able to efficiently evade the innate immune system through various strategies. The strong and abundant antiviral innate immunity evasion strategies shown by SARS-CoV-2 has laid out shortcomings in our approach to quickly identify and modulate these mechanisms. It is thus imperative that there be a systematic framework for the study of the immune evasion strategies of these viruses, to guide development of therapeutics and curtail transmission. In this review, we first provide a brief overview of general viral evasion strategies against the innate immune system. Then, we utilize SARS-CoV-2 as a case study to highlight the methods used to identify the mechanisms of innate immune evasion, and pinpoint the shortcomings in the current paradigm with its focus on overexpression and protein-protein interactions. Finally, we provide a recommendation for future work to unravel viral innate immune evasion strategies and suitable methods to aid in the study of virus-host interactions. The insights provided from this review may then be applied to other viruses with outbreak potential to remain ahead in the arms race against viral diseases.
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Affiliation(s)
- Douglas Jie Wen Tay
- Biosafety Level 3 Core Facility, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Infectious Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Zhe Zhang Ryan Lew
- Infectious Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Justin Jang Hann Chu
- Biosafety Level 3 Core Facility, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Infectious Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Collaborative and Translation Unit for Hand, Foot and Mouth Disease (HFMD), Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
| | - Kai Sen Tan
- Biosafety Level 3 Core Facility, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Infectious Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- *Correspondence: Kai Sen Tan,
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17
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Cabrera-Orefice A, Potter A, Evers F, Hevler JF, Guerrero-Castillo S. Complexome Profiling-Exploring Mitochondrial Protein Complexes in Health and Disease. Front Cell Dev Biol 2022; 9:796128. [PMID: 35096826 PMCID: PMC8790184 DOI: 10.3389/fcell.2021.796128] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/08/2021] [Indexed: 12/14/2022] Open
Abstract
Complexome profiling (CP) is a state-of-the-art approach that combines separation of native proteins by electrophoresis, size exclusion chromatography or density gradient centrifugation with tandem mass spectrometry identification and quantification. Resulting data are computationally clustered to visualize the inventory, abundance and arrangement of multiprotein complexes in a biological sample. Since its formal introduction a decade ago, this method has been mostly applied to explore not only the composition and abundance of mitochondrial oxidative phosphorylation (OXPHOS) complexes in several species but also to identify novel protein interactors involved in their assembly, maintenance and functions. Besides, complexome profiling has been utilized to study the dynamics of OXPHOS complexes, as well as the impact of an increasing number of mutations leading to mitochondrial disorders or rearrangements of the whole mitochondrial complexome. Here, we summarize the major findings obtained by this approach; emphasize its advantages and current limitations; discuss multiple examples on how this tool could be applied to further investigate pathophysiological mechanisms and comment on the latest advances and opportunity areas to keep developing this methodology.
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Affiliation(s)
- Alfredo Cabrera-Orefice
- Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Alisa Potter
- Department of Pediatrics, Radboud Center for Mitochondrial Medicine, Radboud University Medical Center, Nijmegen, Netherlands
| | - Felix Evers
- Department of Medical Microbiology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Johannes F Hevler
- Biomolecular Mass Spectrometry and Proteomics, University of Utrecht, Utrecht, Netherlands.,Bijvoet Center for Biomolecular Research, University of Utrecht, Utrecht, Netherlands.,Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, Netherlands.,Netherlands Proteomics Center, Utrecht, Netherlands
| | - Sergio Guerrero-Castillo
- University Children's Research@Kinder-UKE, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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18
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Turilli ES, Lualdi M, Fasano M. Looking at COVID-19 from a Systems Biology Perspective. Biomolecules 2022; 12:188. [PMID: 35204689 PMCID: PMC8961533 DOI: 10.3390/biom12020188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/15/2022] [Accepted: 01/20/2022] [Indexed: 11/16/2022] Open
Abstract
The sudden outbreak and worldwide spread of the SARS-CoV-2 pandemic pushed the scientific community to find fast solutions to cope with the health emergency. COVID-19 complexity, in terms of clinical outcomes, severity, and response to therapy suggested the use of multifactorial strategies, characteristic of the network medicine, to approach the study of the pathobiology. Proteomics and interactomics especially allow to generate datasets that, reduced and represented in the forms of networks, can be analyzed with the tools of systems biology to unveil specific pathways central to virus-human host interaction. Moreover, artificial intelligence tools can be implemented for the identification of druggable targets and drug repurposing. In this review article, we provide an overview of the results obtained so far, from a systems biology perspective, in the understanding of COVID-19 pathobiology and virus-host interactions, and in the development of disease classifiers and tools for drug repurposing.
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Affiliation(s)
- Emily Samuela Turilli
- Department of Science and High Technology, University of Insubria, I-21052 Busto Arsizio, Italy
| | - Marta Lualdi
- Department of Science and High Technology, University of Insubria, I-21052 Busto Arsizio, Italy
| | - Mauro Fasano
- Department of Science and High Technology, University of Insubria, I-21052 Busto Arsizio, Italy
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19
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Badkas A, De Landtsheer S, Sauter T. Construction and contextualization approaches for protein-protein interaction networks. Comput Struct Biotechnol J 2022; 20:3280-3290. [PMID: 35832626 PMCID: PMC9251778 DOI: 10.1016/j.csbj.2022.06.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 06/15/2022] [Accepted: 06/15/2022] [Indexed: 11/17/2022] Open
Abstract
Protein-protein interaction network (PPIN) analysis is a widely used method to study the contextual role of proteins of interest, to predict novel disease genes, disease or functional modules, and to identify novel drug targets. PPIN-based analysis uses both generic and context-specific networks. Multiple contextualization methodologies have been described, such as shortest-path algorithms, neighborhood-based methods, and diffusion/propagation algorithms. This review discusses these methods, provides intuitive representations of PPIN contextualization, and also examines how the quality of such context-specific networks could be improved by considering additional sources of evidence. As a heuristic, we observe that tasks such as identifying disease genes, drug targets, and protein complexes should consider local neighborhoods, while uncovering disease mechanisms and discovering disease-pathways would gain from diffusion-based construction.
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20
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Agamennone M, Nicoli A, Bayer S, Weber V, Borro L, Gupta S, Fantacuzzi M, Di Pizio A. Protein-protein interactions at a glance: Protocols for the visualization of biomolecular interactions. Methods Cell Biol 2021; 166:271-307. [PMID: 34752337 DOI: 10.1016/bs.mcb.2021.06.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Protein-protein interactions (PPIs) play a key role in many biological processes and are intriguing targets for drug discovery campaigns. Advancements in experimental and computational techniques are leading to a growth of data accessibility, and, with it, an increased need for the analysis of PPIs. In this respect, visualization tools are essential instruments to represent and analyze biomolecular interactions. In this chapter, we reviewed some of the available tools, highlighting their features, and describing their functions with practical information on their usage.
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Affiliation(s)
| | - Alessandro Nicoli
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
| | - Sebastian Bayer
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
| | - Verena Weber
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
| | - Luca Borro
- Department of Imaging, Advanced Cardiovascular Imaging Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Shailendra Gupta
- Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany
| | | | - Antonella Di Pizio
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany.
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21
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Complexome Profiling: Assembly and Remodeling of Protein Complexes. Int J Mol Sci 2021; 22:ijms22157809. [PMID: 34360575 PMCID: PMC8346016 DOI: 10.3390/ijms22157809] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 07/13/2021] [Accepted: 07/19/2021] [Indexed: 02/06/2023] Open
Abstract
Many proteins have been found to operate in a complex with various biomolecules such as proteins, nucleic acids, carbohydrates, or lipids. Protein complexes can be transient, stable or dynamic and their association is controlled under variable cellular conditions. Complexome profiling is a recently developed mass spectrometry-based method that combines mild separation techniques, native gel electrophoresis, and density gradient centrifugation with quantitative mass spectrometry to generate inventories of protein assemblies within a cell or subcellular fraction. This review summarizes applications of complexome profiling with respect to assembly ranging from single subunits to large macromolecular complexes, as well as their stability, and remodeling in health and disease.
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22
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Laserna V, Istrate A, Kafuta K, Hakala TA, Knowles TPJ, Alcarazo M, Bernardes GJL. Protein Conjugation by Electrophilic Alkynylation Using 5-(Alkynyl)dibenzothiophenium Triflates. Bioconjug Chem 2021; 32:1570-1575. [PMID: 34232618 DOI: 10.1021/acs.bioconjchem.1c00317] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
5-(Alkynyl)dibenzothiophenium triflates are introduced as new reagents to prepare different protein conjugates through site-selective cysteine alkynylation. The protocol developed allows a highly efficient label of free cysteine-containing proteins with relevant biological roles, such as ubiquitin, the C2A domain of Synaptotagmin-I, or HER2 targeting nanobodies. An electrophilic bis-alkynylating reagent was also designed. The second alkynylating handle thus introduced in the desired protein enables access to protein-thiol, protein-peptide, and protein-protein conjugates, and even diubiquitin dimers can be prepared through this approach. The low excess of reagent needed, mild reaction conditions used, short reaction times, and stability of the S-C(alkyne) bonds at physiological conditions make this approach an interesting addition to the toolbox of classical, site-selective cysteine-conjugation methods.
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Affiliation(s)
- Victor Laserna
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, CB2 1EW Cambridge, United Kingdom
| | - Alena Istrate
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, CB2 1EW Cambridge, United Kingdom
| | - Kevin Kafuta
- Institut für Organische und Biomolekulare Chemie, Georg-August-Universität Göttingen, Tammannstr. 2, 37077-Göttingen, Germany
| | - Tuuli A Hakala
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, CB2 1EW Cambridge, United Kingdom
| | - Tuomas P J Knowles
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, CB2 1EW Cambridge, United Kingdom.,Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, United Kingdom
| | - Manuel Alcarazo
- Institut für Organische und Biomolekulare Chemie, Georg-August-Universität Göttingen, Tammannstr. 2, 37077-Göttingen, Germany
| | - Gonçalo J L Bernardes
- Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, CB2 1EW Cambridge, United Kingdom.,Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028 Lisboa, Portugal
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23
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Kushner J, Papa A, Marx SO. Use of Proximity Labeling in Cardiovascular Research. JACC Basic Transl Sci 2021; 6:598-609. [PMID: 34368510 PMCID: PMC8326230 DOI: 10.1016/j.jacbts.2021.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 12/11/2020] [Accepted: 01/06/2021] [Indexed: 10/31/2022]
Abstract
Protein-protein interactions are of paramount importance in regulating normal cardiac physiology. Methodologies to elucidate these interactions in vivo have been limited. Recently, proximity-dependent biotinylation, with the use of BioID, TurboID, and ascorbate peroxidase, has been developed to uncover cellular neighborhoods and novel protein-protein interactions. These cutting-edge techniques have enabled the identification of subcellular localizations of specific proteins and the neighbors or interacting proteins within these subcellular regions. In contrast to classic methods such as affinity purification and subcellular fractionation, these techniques add covalently bound tags in living cells, such that spatial relationships and interaction networks are not disrupted. Recently, these methodologies have been used to identify novel protein-protein interactions relevant to the cardiovascular system. In this review, we discuss the development and current use of proximity biotin-labeling for cardiovascular research.
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Affiliation(s)
- Jared Kushner
- Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Arianne Papa
- Department of Physiology and Cellular Biophysics, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Steven O. Marx
- Division of Cardiology, Department of Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, New York, USA
- Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
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24
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Smythers AL, Hicks LM. Mapping the plant proteome: tools for surveying coordinating pathways. Emerg Top Life Sci 2021; 5:203-220. [PMID: 33620075 PMCID: PMC8166341 DOI: 10.1042/etls20200270] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 02/07/2021] [Accepted: 02/09/2021] [Indexed: 12/14/2022]
Abstract
Plants rapidly respond to environmental fluctuations through coordinated, multi-scalar regulation, enabling complex reactions despite their inherently sessile nature. In particular, protein post-translational signaling and protein-protein interactions combine to manipulate cellular responses and regulate plant homeostasis with precise temporal and spatial control. Understanding these proteomic networks are essential to addressing ongoing global crises, including those of food security, rising global temperatures, and the need for renewable materials and fuels. Technological advances in mass spectrometry-based proteomics are enabling investigations of unprecedented depth, and are increasingly being optimized for and applied to plant systems. This review highlights recent advances in plant proteomics, with an emphasis on spatially and temporally resolved analysis of post-translational modifications and protein interactions. It also details the necessity for generation of a comprehensive plant cell atlas while highlighting recent accomplishments within the field.
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Affiliation(s)
- Amanda L Smythers
- Department of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, U.S.A
| | - Leslie M Hicks
- Department of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, U.S.A
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25
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Petit-Pedrol M, Groc L. Regulation of membrane NMDA receptors by dynamics and protein interactions. J Cell Biol 2021; 220:211609. [PMID: 33337489 PMCID: PMC7754687 DOI: 10.1083/jcb.202006101] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 11/19/2020] [Accepted: 11/20/2020] [Indexed: 12/16/2022] Open
Abstract
Understanding neurotransmitter system crosstalk in the brain is a major challenge in neurobiology. Several intracellular and genomic cascades have been identified in this crosstalk. However, the discovery that neurotransmitter receptors are highly diffusive in the plasma membrane of neurons, where they form heterocomplexes with other proteins, has profoundly changed our view of neurotransmitter signaling. Here, we review new insights into neurotransmitter crosstalk at the plasma membrane. We focus on the membrane organization and interactome of the ionotropic glutamate N-methyl-D-aspartate receptor (NMDAR) that plays a central role in excitatory synaptic and network physiology and is involved in the etiology of several major neuropsychiatric disorders. The nanoscale organization and dynamics of NMDAR is a key regulatory process for glutamate synapse transmission, plasticity, and crosstalk with other neurotransmitter systems, such as the monoaminergic ones. The plasma membrane appears to be a prime regulatory compartment for spatial and temporal crosstalk between neurotransmitter systems in the healthy and diseased brain. Understanding the molecular mechanisms regulating membrane neurotransmitter receptor crosstalk will likely open research avenues for innovative therapeutical strategies.
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Affiliation(s)
- Mar Petit-Pedrol
- Université de Bordeaux, Centre National de la Recherche Scientifique, Interdisciplinary Institute for Neuroscience, Unité Mixte de Recherche 5297, Bordeaux, France
| | - Laurent Groc
- Université de Bordeaux, Centre National de la Recherche Scientifique, Interdisciplinary Institute for Neuroscience, Unité Mixte de Recherche 5297, Bordeaux, France
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26
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Cozzolino F, Iacobucci I, Monaco V, Monti M. Protein-DNA/RNA Interactions: An Overview of Investigation Methods in the -Omics Era. J Proteome Res 2021; 20:3018-3030. [PMID: 33961438 PMCID: PMC8280749 DOI: 10.1021/acs.jproteome.1c00074] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
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The fields of application
of functional proteomics are not limited
to the study of protein–protein interactions; they also extend
to those involving protein complexes that bind DNA or RNA. These interactions
affect fundamental processes such as replication, transcription, and
repair in the case of DNA, as well as transport, translation, splicing,
and silencing in the case of RNA. Analytical or preparative experimental
approaches, both in vivo and in vitro, have been developed to isolate and identify DNA/RNA binding proteins
by exploiting the advantage of the affinity shown by these proteins
toward a specific oligonucleotide sequence. The present review proposes
an overview of the approaches most commonly employed in proteomics
applications for the identification of nucleic acid-binding proteins,
such as affinity purification (AP) protocols, EMSA, chromatin purification
methods, and CRISPR-based chromatin affinity purification, which are
generally associated with mass spectrometry methodologies for the
unbiased protein identification.
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Affiliation(s)
- Flora Cozzolino
- Department of Chemical Sciences, University Federico II of Naples, Strada Comunale Cinthia, 26, 80126 Naples, Italy.,CEINGE Advanced Biotechnologies, Via G. Salvatore 486, 80145 Naples, Italy
| | - Ilaria Iacobucci
- Department of Chemical Sciences, University Federico II of Naples, Strada Comunale Cinthia, 26, 80126 Naples, Italy.,CEINGE Advanced Biotechnologies, Via G. Salvatore 486, 80145 Naples, Italy
| | - Vittoria Monaco
- CEINGE Advanced Biotechnologies, Via G. Salvatore 486, 80145 Naples, Italy.,Interuniversity Consortium National Institute of Biostructures and Biosystems (INBB), Viale Medaglie d'Oro, 305-00136 Rome, Italy
| | - Maria Monti
- Department of Chemical Sciences, University Federico II of Naples, Strada Comunale Cinthia, 26, 80126 Naples, Italy.,CEINGE Advanced Biotechnologies, Via G. Salvatore 486, 80145 Naples, Italy
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Jorrin Novo JV. Proteomics and plant biology: contributions to date and a look towards the next decade. Expert Rev Proteomics 2021; 18:93-103. [PMID: 33770454 DOI: 10.1080/14789450.2021.1910028] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
INTRODUCTION This review presents the view of the author, that is opinionable and even speculative, on the field of proteomics, its application to plant biology knowledge, and translation to biotechnology. Written in a more academic than scientific style, it is based on past original and review articles by the author´s group, and those published by leading scientists in the last two years. AREAS COVERED Starting with a general definition and references to historical milestones, it covers sections devoted to the different platforms employed, the plant biology discourse in the protein language, challenges and future prospects, ending with the author opinion. EXPERT OPINION In 25 years, five proteomics platform generations have appeared. We are now moving from proteomics to Systems Biology. While feasible with model organisms, proteomics of orphan species remains challenging. Proteomics, even in its simplest approach, sheds light on plant biological processes, central dogma, and molecular bases of phenotypes of interest, and it can be translated to areas such as food traceability and allergen detection. Proteomics should be validated and optimized to each experimental system, objectives, and hypothesis. It has limitations, artifacts, and biases. We should not blindly accept proteomics data and just create a list of proteins, networks, and avoid speculative biological interpretations. From the hundred to thousand proteins identified and quantified, it is important to obtain a focus and validate some of them, otherwise it is merely. We are starting to have the protein pieces, so let, from now, build the proteomics and biological puzzle.
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Affiliation(s)
- J V Jorrin Novo
- Dpt. Biochemistry and Molecular Biology, Agroforestry and Plant Biochemistry, Proteomics and Systems Biology, ETSIAM, University of Cordoba, Cordoba , Spain
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28
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Probing ion channel neighborhoods using proximity proteomics. Methods Enzymol 2021; 654:115-136. [PMID: 34120710 DOI: 10.1016/bs.mie.2021.01.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Protein-protein interactions are critically important for cellular functions, including regulation of ion channels. Ion channels are typically part of large macromolecular complexes that impact their function. These complexes have traditionally been elucidated via standard biochemical techniques including immunoprecipitation, pull-down assays and mass spectrometry. Recently, several methods have been developed to provide a more complete depiction of the microenvironment or "neighborhood" of proteins of interest. These new methods, which fall broadly under the category of proximity-dependent labeling techniques, aim to overcome the limitations imposed by antibody-based techniques and mass spectrometry. In this chapter, we describe the use of proximity labeling to elucidate the cardiac CaV1.2 macromolecular complex under basal conditions and after β-adrenergic stimulation. Using these methodologies, we have identified the mechanism underlying adrenergic stimulation of the Ca2+ current in the heart.
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