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Kahnert K, Soattin L, Mills RW, Wilson C, Maurya S, Sorrentino A, Al-Othman S, Tikhomirov R, van de Vegte YJ, Hansen FB, Achter J, Hu W, Zi M, Smith M, van der Harst P, Olesen MS, Boisen Olsen K, Banner J, Jensen THL, Zhang H, Boyett MR, D’Souza A, Lundby A. Proteomics couples electrical remodelling to inflammation in a murine model of heart failure with sinus node dysfunction. Cardiovasc Res 2024; 120:927-942. [PMID: 38661182 PMCID: PMC11218694 DOI: 10.1093/cvr/cvae054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/22/2023] [Accepted: 01/08/2024] [Indexed: 04/26/2024] Open
Abstract
AIMS In patients with heart failure (HF), concomitant sinus node dysfunction (SND) is an important predictor of mortality, yet its molecular underpinnings are poorly understood. Using proteomics, this study aimed to dissect the protein and phosphorylation remodelling within the sinus node in an animal model of HF with concurrent SND. METHODS AND RESULTS We acquired deep sinus node proteomes and phosphoproteomes in mice with heart failure and SND and report extensive remodelling. Intersecting the measured (phospho)proteome changes with human genomics pharmacovigilance data, highlighted downregulated proteins involved in electrical activity such as the pacemaker ion channel, Hcn4. We confirmed the importance of ion channel downregulation for sinus node physiology using computer modelling. Guided by the proteomics data, we hypothesized that an inflammatory response may drive the electrophysiological remodeling underlying SND in heart failure. In support of this, experimentally induced inflammation downregulated Hcn4 and slowed pacemaking in the isolated sinus node. From the proteomics data we identified proinflammatory cytokine-like protein galectin-3 as a potential target to mitigate the effect. Indeed, in vivo suppression of galectin-3 in the animal model of heart failure prevented SND. CONCLUSION Collectively, we outline the protein and phosphorylation remodeling of SND in heart failure, we highlight a role for inflammation in electrophysiological remodelling of the sinus node, and we present galectin-3 signalling as a target to ameliorate SND in heart failure.
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Affiliation(s)
- Konstantin Kahnert
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen N, Denmark
| | - Luca Soattin
- Division of Cardiovascular Sciences, University of Manchester, Core Technology Facility, 46 Grafton Street, Manchester, M13 9NT, UK
| | - Robert W Mills
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen N, Denmark
| | - Claire Wilson
- Division of Cardiovascular Sciences, University of Manchester, Core Technology Facility, 46 Grafton Street, Manchester, M13 9NT, UK
- Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Liverpool, UK
| | - Svetlana Maurya
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen N, Denmark
| | - Andrea Sorrentino
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen N, Denmark
| | - Sami Al-Othman
- Division of Cardiovascular Sciences, University of Manchester, Core Technology Facility, 46 Grafton Street, Manchester, M13 9NT, UK
| | - Roman Tikhomirov
- Division of Cardiovascular Sciences, University of Manchester, Core Technology Facility, 46 Grafton Street, Manchester, M13 9NT, UK
- National Heart and Lung Institute, Imperial College London, Imperial Centre for Translational and Experimental Medicine (ICTEM), 72 Du Cane Road, London W12 0NN, UK
| | - Yordi J van de Vegte
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Finn B Hansen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen N, Denmark
| | - Jonathan Achter
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen N, Denmark
| | - Wei Hu
- Department of Physics & Astronomy, Biological Physics Group, University of Manchester, Manchester, UK
| | - Min Zi
- Division of Cardiovascular Sciences, University of Manchester, Core Technology Facility, 46 Grafton Street, Manchester, M13 9NT, UK
| | - Matthew Smith
- Division of Cardiovascular Sciences, University of Manchester, Core Technology Facility, 46 Grafton Street, Manchester, M13 9NT, UK
- National Heart and Lung Institute, Imperial College London, Imperial Centre for Translational and Experimental Medicine (ICTEM), 72 Du Cane Road, London W12 0NN, UK
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Durrer Center for Cardiogenetic Research, Netherlands Heart Institute, Utrecht, the Netherlands
| | - Morten S Olesen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen N, Denmark
| | - Kristine Boisen Olsen
- Department of Forensic Medicine, University of Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Jytte Banner
- Department of Forensic Medicine, University of Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | | | - Henggui Zhang
- Department of Physics & Astronomy, Biological Physics Group, University of Manchester, Manchester, UK
| | - Mark R Boyett
- Faculty of Life Sciences, University of Bradford, Bradford, UK
| | - Alicia D’Souza
- Division of Cardiovascular Sciences, University of Manchester, Core Technology Facility, 46 Grafton Street, Manchester, M13 9NT, UK
- National Heart and Lung Institute, Imperial College London, Imperial Centre for Translational and Experimental Medicine (ICTEM), 72 Du Cane Road, London W12 0NN, UK
| | - Alicia Lundby
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen N, Denmark
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Chen H, Jing C, Shang L, Zhu X, Zhang R, Liu Y, Wang M, Xu K, Ma T, Jing H, Wang Z, Li X, Chong W, Li L. Molecular characterization and clinical relevance of metabolic signature subtypes in gastric cancer. Cell Rep 2024; 43:114424. [PMID: 38959111 DOI: 10.1016/j.celrep.2024.114424] [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: 12/04/2023] [Revised: 05/06/2024] [Accepted: 06/14/2024] [Indexed: 07/05/2024] Open
Abstract
Metabolic reprogramming dictates tumor molecular attributes and therapeutic potentials. However, the comprehensive metabolic characteristics in gastric cancer (GC) remain obscure. Here, metabolic signature-based clustering analysis identifies three subtypes with distinct molecular and clinical features: MSC1 showed better prognosis and upregulation of the tricarboxylic acid (TCA) cycle and lipid metabolism, combined with frequent TP53 and RHOA mutation; MSC2 had moderate prognosis and elevated nucleotide and amino acid metabolism, enriched by intestinal histology and mismatch repair deficient (dMMR); and MSC3 exhibited poor prognosis and enhanced glycan and energy metabolism, accompanied by diffuse histology and frequent CDH1 mutation. The Shandong Provincial Hospital (SDPH) in-house dataset with matched transcriptomic, metabolomic, and spatial-metabolomic analysis also validated these findings. Further, we constructed the metabolic subtype-related prognosis gene (MSPG) scoring model to quantify the activity of individual tumors and found a positive correlation with cuproptosis signaling. In conclusion, comprehensive recognition of the metabolite signature can enhance the understanding of diversity and heterogeneity in GC.
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Affiliation(s)
- Hao Chen
- Clinical Research Center of Shandong University, Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China.
| | - Changqing Jing
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China
| | - Liang Shang
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China
| | - Xingyu Zhu
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China
| | - Ronghua Zhang
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China
| | - Yuan Liu
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China
| | - Mingfei Wang
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China
| | - Kang Xu
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China
| | - Tianrong Ma
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China
| | - Haiyan Jing
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China
| | - Ze Wang
- Clinical Research Center of Shandong University, Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China
| | - Xin Li
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Wei Chong
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China.
| | - Leping Li
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Key Laboratory of Engineering of Shandong Province, Shandong Provincial Hospital, Jinan 250021, China; Department of Gastrointestinal Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250021, China.
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Piersma SR, Valles-Marti A, Rolfs F, Pham TV, Henneman AA, Jiménez CR. Inferring kinase activity from phosphoproteomic data: Tool comparison and recent applications. MASS SPECTROMETRY REVIEWS 2024; 43:725-751. [PMID: 36156810 DOI: 10.1002/mas.21808] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Aberrant cellular signaling pathways are a hallmark of cancer and other diseases. One of the most important signaling mechanisms involves protein phosphorylation/dephosphorylation. Protein phosphorylation is catalyzed by protein kinases, and over 530 protein kinases have been identified in the human genome. Aberrant kinase activity is one of the drivers of tumorigenesis and cancer progression and results in altered phosphorylation abundance of downstream substrates. Upstream kinase activity can be inferred from the global collection of phosphorylated substrates. Mass spectrometry-based phosphoproteomic experiments nowadays routinely allow identification and quantitation of >10k phosphosites per biological sample. This substrate phosphorylation footprint can be used to infer upstream kinase activities using tools like Kinase Substrate Enrichment Analysis (KSEA), Posttranslational Modification Substrate Enrichment Analysis (PTM-SEA), and Integrative Inferred Kinase Activity Analysis (INKA). Since the topic of kinase activity inference is very active with many new approaches reported in the past 3 years, we would like to give an overview of the field. In this review, an inventory of kinase activity inference tools, their underlying algorithms, statistical frameworks, kinase-substrate databases, and user-friendliness is presented. The most widely-used tools are compared in-depth. Subsequently, recent applications of the tools are described focusing on clinical tissues and hematological samples. Two main application areas for kinase activity inference tools can be discerned. (1) Maximal biological insights can be obtained from large data sets with group comparisons using multiple complementary tools (e.g., PTM-SEA and KSEA or INKA). (2) In the oncology context where personalized treatment requires analysis of single samples, INKA for example, has emerged as tool that can prioritize actionable kinases for targeted inhibition.
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Affiliation(s)
- Sander R Piersma
- OncoProteomics Laboratory Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Andrea Valles-Marti
- OncoProteomics Laboratory Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Frank Rolfs
- OncoProteomics Laboratory Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Thang V Pham
- OncoProteomics Laboratory Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Alex A Henneman
- OncoProteomics Laboratory Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Connie R Jiménez
- OncoProteomics Laboratory Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
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4
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Savage SR, Yi X, Lei JT, Wen B, Zhao H, Liao Y, Jaehnig EJ, Somes LK, Shafer PW, Lee TD, Fu Z, Dou Y, Shi Z, Gao D, Hoyos V, Gao Q, Zhang B. Pan-cancer proteogenomics expands the landscape of therapeutic targets. Cell 2024:S0092-8674(24)00583-X. [PMID: 38917788 DOI: 10.1016/j.cell.2024.05.039] [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: 02/16/2023] [Revised: 04/03/2024] [Accepted: 05/21/2024] [Indexed: 06/27/2024]
Abstract
Fewer than 200 proteins are targeted by cancer drugs approved by the Food and Drug Administration (FDA). We integrate Clinical Proteomic Tumor Analysis Consortium (CPTAC) proteogenomics data from 1,043 patients across 10 cancer types with additional public datasets to identify potential therapeutic targets. Pan-cancer analysis of 2,863 druggable proteins reveals a wide abundance range and identifies biological factors that affect mRNA-protein correlation. Integration of proteomic data from tumors and genetic screen data from cell lines identifies protein overexpression- or hyperactivation-driven druggable dependencies, enabling accurate predictions of effective drug targets. Proteogenomic identification of synthetic lethality provides a strategy to target tumor suppressor gene loss. Combining proteogenomic analysis and MHC binding prediction prioritizes mutant KRAS peptides as promising public neoantigens. Computational identification of shared tumor-associated antigens followed by experimental confirmation nominates peptides as immunotherapy targets. These analyses, summarized at https://targets.linkedomics.org, form a comprehensive landscape of protein and peptide targets for companion diagnostics, drug repurposing, and therapy development.
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Affiliation(s)
- Sara R Savage
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xinpei Yi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jonathan T Lei
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hongwei Zhao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital and Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of China, Fudan University, 180 Fenglin Road, Shanghai 200032, China
| | - Yuxing Liao
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Eric J Jaehnig
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lauren K Somes
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Paul W Shafer
- Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Tobie D Lee
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zile Fu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital and Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of China, Fudan University, 180 Fenglin Road, Shanghai 200032, China
| | - Yongchao Dou
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zhiao Shi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Daming Gao
- Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Valentina Hoyos
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX 77030, USA
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital and Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of China, Fudan University, 180 Fenglin Road, Shanghai 200032, China.
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
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5
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Wuerger LTD, Sprenger H, Krasikova K, Templin M, Stahl A, Herfurth UM, Sieg H, Braeuning A. A multi-omics approach to elucidate okadaic acid-induced changes in human HepaRG hepatocarcinoma cells. Arch Toxicol 2024:10.1007/s00204-024-03796-1. [PMID: 38832940 DOI: 10.1007/s00204-024-03796-1] [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: 03/12/2024] [Accepted: 05/23/2024] [Indexed: 06/06/2024]
Abstract
Okadaic acid (OA), a prevalent marine biotoxin found in shellfish, is known for causing acute gastrointestinal symptoms. Despite its potential to reach the bloodstream and the liver, the hepatic effects of OA are not well understood, highlighting a significant research gap. This study aims to comprehensively elucidate the impact of OA on the liver by examining the transcriptome, proteome, and phosphoproteome alterations in human HepaRG liver cells exposed to non-cytotoxic OA concentrations. We employed an integrative multi-omics approach, encompassing RNA sequencing, shotgun proteomics, phosphoproteomics, and targeted DigiWest analysis. This enabled a detailed exploration of gene and protein expression changes, alongside phosphorylation patterns under OA treatment. The study reveals concentration- and time-dependent deregulation in gene and protein expression, with a significant down-regulation of xenobiotic and lipid metabolism pathways. Up-regulated pathways include actin crosslink formation and a deregulation of apoptotic pathways. Notably, our results revealed that OA, as a potent phosphatase inhibitor, induces alterations in actin filament organization. Phosphoproteomics data highlighted the importance of phosphorylation in enzyme activity regulation, particularly affecting proteins involved in the regulation of the cytoskeleton. OA's inhibition of PP2A further leads to various downstream effects, including alterations in protein translation and energy metabolism. This research expands the understanding of OA's systemic impact, emphasizing its role in modulating the phosphorylation landscape, which influences crucial cellular processes. The results underscore OA's multifaceted effects on the liver, particularly through PP2A inhibition, impacting xenobiotic metabolism, cytoskeletal dynamics, and energy homeostasis. These insights enhance our comprehension of OA's biological significance and potential health risks.
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Affiliation(s)
- Leonie T D Wuerger
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Heike Sprenger
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Ksenia Krasikova
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Markus Templin
- NMI Natural and Medical Sciences Institute at the University Tübingen, Reutlingen, Germany
| | - Aaron Stahl
- NMI Natural and Medical Sciences Institute at the University Tübingen, Reutlingen, Germany
| | - Uta M Herfurth
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
| | - Holger Sieg
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany.
| | - Albert Braeuning
- Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
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6
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Giudice G, Chen H, Koutsandreas T, Petsalaki E. phuEGO: A Network-Based Method to Reconstruct Active Signaling Pathways From Phosphoproteomics Datasets. Mol Cell Proteomics 2024; 23:100771. [PMID: 38642805 PMCID: PMC11134849 DOI: 10.1016/j.mcpro.2024.100771] [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: 10/17/2023] [Revised: 04/08/2024] [Accepted: 04/17/2024] [Indexed: 04/22/2024] Open
Abstract
Signaling networks are critical for virtually all cell functions. Our current knowledge of cell signaling has been summarized in signaling pathway databases, which, while useful, are highly biased toward well-studied processes, and do not capture context specific network wiring or pathway cross-talk. Mass spectrometry-based phosphoproteomics data can provide a more unbiased view of active cell signaling processes in a given context, however, it suffers from low signal-to-noise ratio and poor reproducibility across experiments. While progress in methods to extract active signaling signatures from such data has been made, there are still limitations with respect to balancing bias and interpretability. Here we present phuEGO, which combines up-to-three-layer network propagation with ego network decomposition to provide small networks comprising active functional signaling modules. PhuEGO boosts the signal-to-noise ratio from global phosphoproteomics datasets, enriches the resulting networks for functional phosphosites and allows the improved comparison and integration across datasets. We applied phuEGO to five phosphoproteomics data sets from cell lines collected upon infection with SARS CoV2. PhuEGO was better able to identify common active functions across datasets and to point to a subnetwork enriched for known COVID-19 targets. Overall, phuEGO provides a flexible tool to the community for the improved functional interpretation of global phosphoproteomics datasets.
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Affiliation(s)
- Girolamo Giudice
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom
| | - Haoqi Chen
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom
| | - Thodoris Koutsandreas
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom
| | - Evangelia Petsalaki
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom.
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Hao BB, Ma K, Xu JY, Fan RF, Zhao WS, Jia XL, Zhai LH, Lee S, Xie D, Tan MJ. Proteomics analysis of histone deacetylase inhibitor-resistant solid tumors reveals resistant signatures and potential drug combinations. Acta Pharmacol Sin 2024; 45:1305-1315. [PMID: 38383757 PMCID: PMC11130134 DOI: 10.1038/s41401-024-01236-5] [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: 11/11/2023] [Accepted: 01/29/2024] [Indexed: 02/23/2024] Open
Abstract
Histone deacetylase inhibitors (HDACis) are important drugs for cancer therapy, but the indistinct resistant mechanisms of solid tumor therapy greatly limit their clinical application. In this study we conducted HDACi-perturbated proteomics and phosphoproteomics analyses in HDACi-sensitive and -resistant cell lines using a tandem mass tag (TMT)-based quantitative proteomic strategy. We found that the ribosome biogenesis proteins MRTO4, PES1, WDR74 and NOP16 vital to tumorigenesis might regulate the tumor sensitivity to HDACi. By integrating HDACi-perturbated protein signature with previously reported proteomics and drug sensitivity data, we predicted and validated a series of drug combination pairs potentially to enhance the sensitivity of HDACi in diverse solid tumor. Functional phosphoproteomic analysis further identified the kinase PDK1 and ROCK as potential HDACi-resistant signatures. Overall, this study reveals the potential HDACi-resistant signatures and may provide promising drug combination strategies to attenuate the resistance of solid tumor to HDACi.
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Affiliation(s)
- Bing-Bing Hao
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Ke Ma
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Jun-Yu Xu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, 528400, China.
| | - Ru-Feng Fan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wen-Si Zhao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Xing-Long Jia
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai, 201203, China
| | - Lin-Hui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, 528400, China
| | - SangKyu Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea
| | - Dong Xie
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
| | - Min-Jia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
- Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, 528400, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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Aguadé-Gorgorió J, Jami-Alahmadi Y, Calvanese V, Kardouh M, Fares I, Johnson H, Rezek V, Ma F, Magnusson M, Wang Y, Shin JE, Nance KJ, Goodridge HS, Liebscher S, Schenke-Layland K, Crooks GM, Wohlschlegel JA, Mikkola HKA. MYCT1 controls environmental sensing in human haematopoietic stem cells. Nature 2024; 630:412-420. [PMID: 38839950 PMCID: PMC11168926 DOI: 10.1038/s41586-024-07478-x] [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: 05/30/2023] [Accepted: 04/26/2024] [Indexed: 06/07/2024]
Abstract
The processes that govern human haematopoietic stem cell (HSC) self-renewal and engraftment are poorly understood and challenging to recapitulate in culture to reliably expand functional HSCs1-3. Here we identify MYC target 1 (MYCT1; also known as MTLC) as a crucial human HSC regulator that moderates endocytosis and environmental sensing in HSCs. MYCT1 is selectively expressed in undifferentiated human haematopoietic stem and progenitor cells (HSPCs) and endothelial cells but becomes markedly downregulated during HSC culture. Lentivirus-mediated knockdown of MYCT1 prevented human fetal liver and cord blood (CB) HSPC expansion and engraftment. By contrast, restoring MYCT1 expression improved the expansion and engraftment of cultured CB HSPCs. Single-cell RNA sequencing of human CB HSPCs in which MYCT1 was knocked down or overexpressed revealed that MYCT1 governs important regulatory programmes and cellular properties essential for HSC stemness, such as ETS factor expression and low mitochondrial activity. MYCT1 is localized in the endosomal membrane in HSPCs and interacts with vesicle trafficking regulators and signalling machinery. MYCT1 loss in HSPCs led to excessive endocytosis and hyperactive signalling responses, whereas restoring MYCT1 expression balanced culture-induced endocytosis and dysregulated signalling. Moreover, sorting cultured CB HSPCs on the basis of lowest endocytosis rate identified HSPCs with preserved MYCT1 expression and MYCT1-regulated HSC stemness programmes. Our work identifies MYCT1-moderated endocytosis and environmental sensing as essential regulatory mechanisms required to preserve human HSC stemness. Our data also pinpoint silencing of MYCT1 as a cell-culture-induced vulnerability that compromises human HSC expansion.
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Affiliation(s)
- Júlia Aguadé-Gorgorió
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of California Los Angeles, Los Angeles, CA, USA.
| | - Yasaman Jami-Alahmadi
- Department of Biological Chemistry, University of California Los Angeles, Los Angeles, CA, USA
- Pfizer, Cambridge, MA, USA
| | - Vincenzo Calvanese
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of California Los Angeles, Los Angeles, CA, USA
- Laboratory for Molecular Cell Biology, University College London, London, UK
- Josep Carreras Leukaemia Research Institute, Barcelona, Spain
| | - Maya Kardouh
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
- Oakland University William Beaumont School of Medicine, Rochester, MI, USA
| | - Iman Fares
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
- Kite Pharma, Santa Monica, CA, USA
| | - Haley Johnson
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Valerie Rezek
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of California Los Angeles, Los Angeles, CA, USA
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- UCLA AIDS Institute, University of California Los Angeles, Los Angeles, CA, USA
| | - Feiyang Ma
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
- Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, CA, USA
- Amgen, Thousand Oaks, CA, USA
| | - Mattias Magnusson
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of California Los Angeles, Los Angeles, CA, USA
- Division of Molecular Medicine and Gene Therapy, Lund Stem Cell Center, Lund University, Lund, Sweden
| | - Yanling Wang
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA
| | - Juliana E Shin
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Karina J Nance
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Helen S Goodridge
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Simone Liebscher
- Institute of Biomedical Engineering, Department for Medical Technologies and Regenerative Medicine, Eberhard Karls University, Tübingen, Germany
| | - Katja Schenke-Layland
- Institute of Biomedical Engineering, Department for Medical Technologies and Regenerative Medicine, Eberhard Karls University, Tübingen, Germany
- NMI Natural and Medical Sciences Institute at the University Tübingen, Reutlingen, Germany
| | - Gay M Crooks
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of California Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - James A Wohlschlegel
- Department of Biological Chemistry, University of California Los Angeles, Los Angeles, CA, USA
| | - Hanna K A Mikkola
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of California Los Angeles, Los Angeles, CA, USA.
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA, USA.
- Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, USA.
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9
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Runnebohm AM, Wijeratne HRS, Justice SAP, Wijeratne AB, Roy G, Singh N, Hergenrother P, Boothman DA, Motea EA, Mosley AL. IB-DNQ and Rucaparib dual treatment alters cell cycle regulation and DNA repair in triple negative breast cancer cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.594427. [PMID: 38798459 PMCID: PMC11118307 DOI: 10.1101/2024.05.15.594427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Background Triple negative breast cancer (TNBC), characterized by the lack of three canonical receptors, is unresponsive to commonly used hormonal therapies. One potential TNBC-specific therapeutic target is NQO1, as it is highly expressed in many TNBC patients and lowly expressed in non-cancer tissues. DNA damage induced by NQO1 bioactivatable drugs in combination with Rucaparib-mediated inhibition of PARP1-dependent DNA repair synergistically induces cell death. Methods To gain a better understanding of the mechanisms behind this synergistic effect, we used global proteomics, phosphoproteomics, and thermal proteome profiling to analyze changes in protein abundance, phosphorylation and protein thermal stability. Results Very few protein abundance changes resulted from single or dual agent treatment; however, protein phosphorylation and thermal stability were impacted. Histone H2AX was among several proteins identified to have increased phosphorylation when cells were treated with the combination of IB-DNQ and Rucaparib, validating that the drugs induced persistent DNA damage. Thermal proteome profiling revealed destabilization of H2AX following combination treatment, potentially a result of the increase in phosphorylation. Kinase substrate enrichment analysis predicted altered activity for kinases involved in DNA repair and cell cycle following dual agent treatment. Further biophysical analysis of these two processes revealed alterations in SWI/SNF complex association and tubulin / p53 interactions. Conclusions Our findings that the drugs target DNA repair and cell cycle regulation, canonical cancer treatment targets, in a way that is dependent on increased expression of a protein selectively found to be upregulated in cancers without impacting protein abundance illustrate that multi-omics methodologies are important to gain a deeper understanding of the mechanisms behind treatment induced cancer cell death.
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Affiliation(s)
- Avery M Runnebohm
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - H R Sagara Wijeratne
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - Sarah A Peck Justice
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
- Department of Biology, Marian University, Indianapolis, IN
| | - Aruna B Wijeratne
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
- IU Simon Comprehensive Cancer Center, Indianapolis, IN
| | - Gitanjali Roy
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | | | - Paul Hergenrother
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL
| | - David A Boothman
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
- IU Simon Comprehensive Cancer Center, Indianapolis, IN
| | - Edward A Motea
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
- IU Simon Comprehensive Cancer Center, Indianapolis, IN
| | - Amber L Mosley
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
- IU Simon Comprehensive Cancer Center, Indianapolis, IN
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN
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10
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Modak RV, de Oliveira Rebola KG, McClatchy J, Mohammadhosseini M, Damnernsawad A, Kurtz SE, Eide CA, Wu G, Laderas T, Nechiporuk T, Gritsenko MA, Hansen JR, Hutchinson C, Gosline SJ, Piehowski P, Bottomly D, Short N, Rodland K, McWeeney SK, Tyner JW, Agarwal A. Targeting CCL2/CCR2 Signaling Overcomes MEK Inhibitor Resistance in Acute Myeloid Leukemia. Clin Cancer Res 2024; 30:2245-2259. [PMID: 38451486 PMCID: PMC11094423 DOI: 10.1158/1078-0432.ccr-23-2654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 12/29/2023] [Accepted: 03/05/2024] [Indexed: 03/08/2024]
Abstract
PURPOSE Emerging evidence underscores the critical role of extrinsic factors within the microenvironment in protecting leukemia cells from therapeutic interventions, driving disease progression, and promoting drug resistance in acute myeloid leukemia (AML). This finding emphasizes the need for the identification of targeted therapies that inhibit intrinsic and extrinsic signaling to overcome drug resistance in AML. EXPERIMENTAL DESIGN We performed a comprehensive analysis utilizing a cohort of ∼300 AML patient samples. This analysis encompassed the evaluation of secreted cytokines/growth factors, gene expression, and ex vivo drug sensitivity to small molecules. Our investigation pinpointed a notable association between elevated levels of CCL2 and diminished sensitivity to the MEK inhibitors (MEKi). We validated this association through loss-of-function and pharmacologic inhibition studies. Further, we deployed global phosphoproteomics and CRISPR/Cas9 screening to identify the mechanism of CCR2-mediated MEKi resistance in AML. RESULTS Our multifaceted analysis unveiled that CCL2 activates multiple prosurvival pathways, including MAPK and cell-cycle regulation in MEKi-resistant cells. Employing combination strategies to simultaneously target these pathways heightened growth inhibition in AML cells. Both genetic and pharmacologic inhibition of CCR2 sensitized AML cells to trametinib, suppressing proliferation while enhancing apoptosis. These findings underscore a new role for CCL2 in MEKi resistance, offering combination therapies as an avenue to circumvent this resistance. CONCLUSIONS Our study demonstrates a compelling rationale for translating CCL2/CCR2 axis inhibitors in combination with MEK pathway-targeting therapies, as a potent strategy for combating drug resistance in AML. This approach has the potential to enhance the efficacy of treatments to improve AML patient outcomes.
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MESH Headings
- Humans
- Leukemia, Myeloid, Acute/drug therapy
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/metabolism
- Leukemia, Myeloid, Acute/pathology
- Receptors, CCR2/metabolism
- Receptors, CCR2/antagonists & inhibitors
- Receptors, CCR2/genetics
- Drug Resistance, Neoplasm/genetics
- Chemokine CCL2/metabolism
- Chemokine CCL2/genetics
- Protein Kinase Inhibitors/pharmacology
- Protein Kinase Inhibitors/therapeutic use
- Signal Transduction/drug effects
- Cell Line, Tumor
- Cell Proliferation/drug effects
- Animals
- Pyridones/pharmacology
- Pyridones/therapeutic use
- Mice
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Affiliation(s)
- Rucha V. Modak
- Division of Oncological Sciences, Oregon Health & Science University, Portland, Oregon
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, Oregon
- Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, Oregon
| | - Katia G. de Oliveira Rebola
- Division of Oncological Sciences, Oregon Health & Science University, Portland, Oregon
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, Oregon
- Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, Oregon
| | - John McClatchy
- Division of Oncological Sciences, Oregon Health & Science University, Portland, Oregon
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, Oregon
- Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, Oregon
| | - Mona Mohammadhosseini
- Division of Oncological Sciences, Oregon Health & Science University, Portland, Oregon
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, Oregon
- Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, Oregon
| | - Alisa Damnernsawad
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
- Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, Oregon
- Department of Biology, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Stephen E. Kurtz
- Division of Oncological Sciences, Oregon Health & Science University, Portland, Oregon
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
- Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, Oregon
| | - Christopher A. Eide
- Division of Oncological Sciences, Oregon Health & Science University, Portland, Oregon
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
| | - Guanming Wu
- Division of Bioinformatics & Computational Biology, Oregon Health & Science University, Portland, Oregon
| | - Ted Laderas
- Division of Bioinformatics & Computational Biology, Oregon Health & Science University, Portland, Oregon
| | - Tamilla Nechiporuk
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
- Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, Oregon
| | | | | | | | - Sara J.C. Gosline
- Pacific Northwest National Laboratory, Richland, Washington
- Department of Biomedical Engineering, School of Medicine, Oregon Health & Science University, Portland, Oregon
| | - Paul Piehowski
- Pacific Northwest National Laboratory, Richland, Washington
| | - Daniel Bottomly
- Division of Bioinformatics & Computational Biology, Oregon Health & Science University, Portland, Oregon
| | - Nicholas Short
- Department of Leukemia, MD Anderson Cancer Center, Houston, Texas
| | - Karin Rodland
- Pacific Northwest National Laboratory, Richland, Washington
| | - Shannon K. McWeeney
- Division of Bioinformatics & Computational Biology, Oregon Health & Science University, Portland, Oregon
| | - Jeffrey W. Tyner
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
- Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, Oregon
| | - Anupriya Agarwal
- Division of Oncological Sciences, Oregon Health & Science University, Portland, Oregon
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, Oregon
- Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, Oregon
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11
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Tong M, Liu Z, Li J, Wei X, Shi W, Liang C, Yu C, Huang R, Lin Y, Wang X, Wang S, Wang Y, Huang J, Wang Y, Li T, Qin J, Zhan D, Ji ZL. PhosMap: An ensemble bioinformatic platform to empower interactive analysis of quantitative phosphoproteomics. Comput Biol Med 2024; 174:108391. [PMID: 38613887 DOI: 10.1016/j.compbiomed.2024.108391] [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: 02/22/2024] [Revised: 03/18/2024] [Accepted: 04/01/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Liquid chromatography-mass spectrometry (LC-MS)-based quantitative phosphoproteomics has been widely used to detect thousands of protein phosphorylation modifications simultaneously from the biological specimens. However, the complicated procedures for analyzing phosphoproteomics data has become a bottleneck to widening its application. METHODS Here, we develop PhosMap, a versatile and scalable tool to accomplish phosphoproteomics data analysis. A standardized phosphorylation data format was created for data analyses, from data preprocessing to downstream bioinformatic analyses such as dimension reduction, differential phosphorylation analysis, kinase activity, survival analysis, and so on. For better usability, we distribute PhosMap as a Docker image for easy local deployment upon any of Windows, Linux, and Mac system. RESULTS The source code is deposited at https://github.com/BADD-XMU/PhosMap. A free PhosMap webserver (https://huggingface.co/spaces/Bio-Add/PhosMap), with easy-to-follow fashion of dashboards, is curated for interactive data analysis. CONCLUSIONS PhosMap fills the technical gap of large-scale phosphorylation research by empowering researchers to process their own phosphoproteomics data expediently and efficiently, and facilitates better data interpretation.
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Affiliation(s)
- Mengsha Tong
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Zan Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Jiaao Li
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Xin Wei
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Wenhao Shi
- Analysis Center, Chemistry Department, Tsinghua University, Beijing, 100084, China
| | - Chenyu Liang
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Chunyu Yu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, 311121, China
| | - Rongting Huang
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Yuxiang Lin
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Xinkang Wang
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Shun Wang
- Departments of Pathology, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yi Wang
- Beijing Pineal Diagnostics Co., Ltd., Beijing, 102206, China; State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Jialiang Huang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 361102, China
| | - Yini Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Tingting Li
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
| | - Jun Qin
- Beijing Pineal Diagnostics Co., Ltd., Beijing, 102206, China; State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
| | - Dongdong Zhan
- Beijing Pineal Diagnostics Co., Ltd., Beijing, 102206, China.
| | - Zhi-Liang Ji
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 361102, China.
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12
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Pichol-Thievend C, Anezo O, Pettiwala AM, Bourmeau G, Montagne R, Lyne AM, Guichet PO, Deshors P, Ballestín A, Blanchard B, Reveilles J, Ravi VM, Joseph K, Heiland DH, Julien B, Leboucher S, Besse L, Legoix P, Dingli F, Liva S, Loew D, Giani E, Ribecco V, Furumaya C, Marcos-Kovandzic L, Masliantsev K, Daubon T, Wang L, Diaz AA, Schnell O, Beck J, Servant N, Karayan-Tapon L, Cavalli FMG, Seano G. VC-resist glioblastoma cell state: vessel co-option as a key driver of chemoradiation resistance. Nat Commun 2024; 15:3602. [PMID: 38684700 PMCID: PMC11058782 DOI: 10.1038/s41467-024-47985-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 04/17/2024] [Indexed: 05/02/2024] Open
Abstract
Glioblastoma (GBM) is a highly lethal type of cancer. GBM recurrence following chemoradiation is typically attributed to the regrowth of invasive and resistant cells. Therefore, there is a pressing need to gain a deeper understanding of the mechanisms underlying GBM resistance to chemoradiation and its ability to infiltrate. Using a combination of transcriptomic, proteomic, and phosphoproteomic analyses, longitudinal imaging, organotypic cultures, functional assays, animal studies, and clinical data analyses, we demonstrate that chemoradiation and brain vasculature induce cell transition to a functional state named VC-Resist (vessel co-opting and resistant cell state). This cell state is midway along the transcriptomic axis between proneural and mesenchymal GBM cells and is closer to the AC/MES1-like state. VC-Resist GBM cells are highly vessel co-opting, allowing significant infiltration into the surrounding brain tissue and homing to the perivascular niche, which in turn induces even more VC-Resist transition. The molecular and functional characteristics of this FGFR1-YAP1-dependent GBM cell state, including resistance to DNA damage, enrichment in the G2M phase, and induction of senescence/stemness pathways, contribute to its enhanced resistance to chemoradiation. These findings demonstrate how vessel co-option, perivascular niche, and GBM cell plasticity jointly drive resistance to therapy during GBM recurrence.
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Affiliation(s)
- Cathy Pichol-Thievend
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Oceane Anezo
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Aafrin M Pettiwala
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
- Institut Curie, PSL University, 75005, Paris, France
| | - Guillaume Bourmeau
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Remi Montagne
- Institut Curie, PSL University, 75005, Paris, France
- INSERM U900, 75005, Paris, France
- MINES ParisTeach, CBIO-Centre for Computational Biology, PSL Research University, 75006, Paris, France
| | - Anne-Marie Lyne
- Institut Curie, PSL University, 75005, Paris, France
- INSERM U900, 75005, Paris, France
- MINES ParisTeach, CBIO-Centre for Computational Biology, PSL Research University, 75006, Paris, France
| | - Pierre-Olivier Guichet
- Université de Poitiers, CHU Poitiers, ProDiCeT, F-86000, Poitiers, France
- CHU Poitiers, Laboratoire de Cancérologie Biologique, F-86000, Poitiers, France
| | - Pauline Deshors
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Alberto Ballestín
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Benjamin Blanchard
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Juliette Reveilles
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Vidhya M Ravi
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
| | - Kevin Joseph
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
| | - Dieter H Heiland
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
| | - Boris Julien
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | | | - Laetitia Besse
- Institut Curie, PSL University, Université Paris-Saclay, CNRS UMS2016, INSERM US43, Multimodal Imaging Center, 91400, Orsay, France
| | - Patricia Legoix
- Institut Curie, PSL University, ICGex Next-Generation Sequencing Platform, 75005, Paris, France
| | - Florent Dingli
- Institut Curie, PSL University, CurieCoreTech Spectrométrie de Masse Protéomique, 75005, Paris, France
| | - Stephane Liva
- Institut Curie, PSL University, 75005, Paris, France
- INSERM U900, 75005, Paris, France
- MINES ParisTeach, CBIO-Centre for Computational Biology, PSL Research University, 75006, Paris, France
| | - Damarys Loew
- Institut Curie, PSL University, CurieCoreTech Spectrométrie de Masse Protéomique, 75005, Paris, France
| | - Elisa Giani
- Department of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Italy
| | - Valentino Ribecco
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Charita Furumaya
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Laura Marcos-Kovandzic
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France
| | - Konstantin Masliantsev
- Université de Poitiers, CHU Poitiers, ProDiCeT, F-86000, Poitiers, France
- CHU Poitiers, Laboratoire de Cancérologie Biologique, F-86000, Poitiers, France
| | - Thomas Daubon
- Université Bordeaux, CNRS, IBGC, UMR5095, Bordeaux, France
| | - Lin Wang
- Department of Computational and Quantitative Medicine, Hematologic Malignancies Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Aaron A Diaz
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Oliver Schnell
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
| | - Jürgen Beck
- Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg, Germany
| | - Nicolas Servant
- Institut Curie, PSL University, 75005, Paris, France
- INSERM U900, 75005, Paris, France
- MINES ParisTeach, CBIO-Centre for Computational Biology, PSL Research University, 75006, Paris, France
| | - Lucie Karayan-Tapon
- Université de Poitiers, CHU Poitiers, ProDiCeT, F-86000, Poitiers, France
- CHU Poitiers, Laboratoire de Cancérologie Biologique, F-86000, Poitiers, France
| | - Florence M G Cavalli
- Institut Curie, PSL University, 75005, Paris, France
- INSERM U900, 75005, Paris, France
- MINES ParisTeach, CBIO-Centre for Computational Biology, PSL Research University, 75006, Paris, France
| | - Giorgio Seano
- Institut Curie, INSERM U1021, CNRS UMR3347, Tumor Microenvironment Lab, Paris-Saclay University, 91400, Orsay, France.
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13
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Justice JL, Reed TJ, Phelan B, Greco TM, Hutton JE, Cristea IM. DNA-PK and ATM drive phosphorylation signatures that antagonistically regulate cytokine responses to herpesvirus infection or DNA damage. Cell Syst 2024; 15:339-361.e8. [PMID: 38593799 PMCID: PMC11098675 DOI: 10.1016/j.cels.2024.03.003] [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: 08/17/2023] [Revised: 01/09/2024] [Accepted: 03/15/2024] [Indexed: 04/11/2024]
Abstract
The DNA-dependent protein kinase, DNA-PK, is an essential regulator of DNA damage repair. DNA-PK-driven phosphorylation events and the activated DNA damage response (DDR) pathways are also components of antiviral intrinsic and innate immune responses. Yet, it is not clear whether and how the DNA-PK response differs between these two forms of nucleic acid stress-DNA damage and DNA virus infection. Here, we define DNA-PK substrates and the signature cellular phosphoproteome response to DNA damage or infection with the nuclear-replicating DNA herpesvirus, HSV-1. We establish that DNA-PK negatively regulates the ataxia-telangiectasia-mutated (ATM) DDR kinase during viral infection. In turn, ATM blocks the binding of DNA-PK and the nuclear DNA sensor IFI16 to viral DNA, thereby inhibiting cytokine responses. However, following DNA damage, DNA-PK enhances ATM activity, which is required for IFN-β expression. These findings demonstrate that the DDR autoregulates cytokine expression through the opposing modulation of DDR kinases.
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Affiliation(s)
- Joshua L Justice
- Department of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA
| | - Tavis J Reed
- Department of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA
| | - Brett Phelan
- Department of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA
| | - Todd M Greco
- Department of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA
| | - Josiah E Hutton
- Department of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA
| | - Ileana M Cristea
- Department of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA.
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14
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Gay SM, Chartampila E, Lord JS, Grizzard S, Maisashvili T, Ye M, Barker NK, Mordant AL, Mills CA, Herring LE, Diering GH. Developing forebrain synapses are uniquely vulnerable to sleep loss. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.06.565853. [PMID: 37986967 PMCID: PMC10659326 DOI: 10.1101/2023.11.06.565853] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Sleep is an essential behavior that supports lifelong brain health and cognition. Neuronal synapses are a major target for restorative sleep function and a locus of dysfunction in response to sleep deprivation (SD). Synapse density is highly dynamic during development, becoming stabilized with maturation to adulthood, suggesting sleep exerts distinct synaptic functions between development and adulthood. Importantly, problems with sleep are common in neurodevelopmental disorders including autism spectrum disorder (ASD). Moreover, early life sleep disruption in animal models causes long lasting changes in adult behavior. Different plasticity engaged during sleep necessarily implies that developing and adult synapses will show differential vulnerability to SD. To investigate distinct sleep functions and mechanisms of vulnerability to SD across development, we systematically examined the behavioral and molecular responses to acute SD between juvenile (P21-28), adolescent (P42-49) and adult (P70-100) mice of both sexes. Compared to adults, juveniles lack robust adaptations to SD, precipitating cognitive deficits in the novel object recognition test. Subcellular fractionation, combined with proteome and phosphoproteome analysis revealed the developing synapse is profoundly vulnerable to SD, whereas adults exhibit comparative resilience. SD in juveniles, and not older mice, aberrantly drives induction of synapse potentiation, synaptogenesis, and expression of peri-neuronal nets. Our analysis further reveals the developing synapse as a convergent node between vulnerability to SD and ASD genetic risk. Together, our systematic analysis supports a distinct developmental function of sleep and reveals how sleep disruption impacts key aspects of brain development, providing mechanistic insights for ASD susceptibility.
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15
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Manzar N, Khan UK, Goel A, Carskadon S, Gupta N, Palanisamy N, Ateeq B. An integrative proteomics approach identifies tyrosine kinase KIT as a therapeutic target for SPINK1-positive prostate cancer. iScience 2024; 27:108794. [PMID: 38384854 PMCID: PMC10879682 DOI: 10.1016/j.isci.2024.108794] [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] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 08/05/2023] [Accepted: 01/02/2024] [Indexed: 02/23/2024] Open
Abstract
Elevated serine peptidase inhibitor, Kazal type 1 (SPINK1) levels in ∼10%-25% of prostate cancer (PCa) patients associate with aggressive phenotype, for which there are limited treatment choices and dismal clinical outcomes. Using an integrative proteomics approach involving label-free phosphoproteome and proteome profiling, we delineated the downstream signaling pathways involved in SPINK1-mediated tumorigenesis and identified tyrosine kinase KIT as highly enriched. Furthermore, high to moderate levels of KIT expression were detected in ∼85% of SPINK1-positive PCa specimens. We show KIT signaling orchestrates SPINK1-mediated oncogenesis, and treatment with KIT inhibitor reduces tumor growth and metastases in preclinical mice models. Mechanistically, KIT signaling modulates WNT/β-catenin pathway and confers stemness-related features in PCa. Notably, inhibiting KIT signaling led to restoration of AR/REST levels, forming a feedback loop enabling SPINK1 repression. Overall, we uncover the role of KIT signaling downstream of SPINK1 in maintaining lineage plasticity and provide distinct treatment modalities for advanced-stage SPINK1-positive patients.
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Affiliation(s)
- Nishat Manzar
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, UP 208016, India
| | - Umar Khalid Khan
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, UP 208016, India
| | - Ayush Goel
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, UP 208016, India
| | - Shannon Carskadon
- Vattikuti Urology Institute, Department of Urology, Henry Ford Health System, Detroit, MI 48202, USA
| | - Nilesh Gupta
- Department of Pathology, Henry Ford Health System, Detroit, MI 48202, USA
| | - Nallasivam Palanisamy
- Vattikuti Urology Institute, Department of Urology, Henry Ford Health System, Detroit, MI 48202, USA
| | - Bushra Ateeq
- Molecular Oncology Laboratory, Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, UP 208016, India
- Mehta Family Center for Engineering in Medicine, Indian Institute of Technology Kanpur, Kanpur, UP 208016, India
- Centre of Excellence for Cancer - Gangwal School of Medical Sciences and Technology, Indian Institute of Technology Kanpur, Kanpur, UP 208016, India
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16
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Billing AM, Kim YC, Gullaksen S, Schrage B, Raabe J, Hutzfeldt A, Demir F, Kovalenko E, Lassé M, Dugourd A, Fallegger R, Klampe B, Jaegers J, Li Q, Kravtsova O, Crespo-Masip M, Palermo A, Fenton RA, Hoxha E, Blankenberg S, Kirchhof P, Huber TB, Laugesen E, Zeller T, Chrysopoulou M, Saez-Rodriguez J, Magnussen C, Eschenhagen T, Staruschenko A, Siuzdak G, Poulsen PL, Schwab C, Cuello F, Vallon V, Rinschen MM. Metabolic Communication by SGLT2 Inhibition. Circulation 2024; 149:860-884. [PMID: 38152989 PMCID: PMC10922673 DOI: 10.1161/circulationaha.123.065517] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 11/22/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND SGLT2 (sodium-glucose cotransporter 2) inhibitors (SGLT2i) can protect the kidneys and heart, but the underlying mechanism remains poorly understood. METHODS To gain insights on primary effects of SGLT2i that are not confounded by pathophysiologic processes or are secondary to improvement by SGLT2i, we performed an in-depth proteomics, phosphoproteomics, and metabolomics analysis by integrating signatures from multiple metabolic organs and body fluids after 1 week of SGLT2i treatment of nondiabetic as well as diabetic mice with early and uncomplicated hyperglycemia. RESULTS Kidneys of nondiabetic mice reacted most strongly to SGLT2i in terms of proteomic reconfiguration, including evidence for less early proximal tubule glucotoxicity and a broad downregulation of the apical uptake transport machinery (including sodium, glucose, urate, purine bases, and amino acids), supported by mouse and human SGLT2 interactome studies. SGLT2i affected heart and liver signaling, but more reactive organs included the white adipose tissue, showing more lipolysis, and, particularly, the gut microbiome, with a lower relative abundance of bacteria taxa capable of fermenting phenylalanine and tryptophan to cardiovascular uremic toxins, resulting in lower plasma levels of these compounds (including p-cresol sulfate). SGLT2i was detectable in murine stool samples and its addition to human stool microbiota fermentation recapitulated some murine microbiome findings, suggesting direct inhibition of fermentation of aromatic amino acids and tryptophan. In mice lacking SGLT2 and in patients with decompensated heart failure or diabetes, the SGLT2i likewise reduced circulating p-cresol sulfate, and p-cresol impaired contractility and rhythm in human induced pluripotent stem cell-derived engineered heart tissue. CONCLUSIONS SGLT2i reduced microbiome formation of uremic toxins such as p-cresol sulfate and thereby their body exposure and need for renal detoxification, which, combined with direct kidney effects of SGLT2i, including less proximal tubule glucotoxicity and a broad downregulation of apical transporters (including sodium, amino acid, and urate uptake), provides a metabolic foundation for kidney and cardiovascular protection.
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Affiliation(s)
- Anja M. Billing
- Departments of Biomedicine (A.M.B., F.D., E.K., J.J., R.A.F., M.C., M.M.R.), Aarhus University, Denmark
| | - Young Chul Kim
- Departments of Medicine and Pharmacology, University of California San Diego, La Jolla (Y.C.K., M.C.-M., V.V.)
- VA San Diego Healthcare System, CA (Y.C.K., M.C.-M., V.V.)
| | - Søren Gullaksen
- Clinical Medicine (S.G., P.L.P.), Aarhus University, Denmark
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Denmark (S.G., E.L.)
| | - Benedikt Schrage
- Department of Cardiology, University Heart and Vascular Center Hamburg, Germany (B.S., S.B., P.K., T.Z., C.M.)
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany (B.S., J.R., S.B., P.K., T.Z., C.M., T.E., F.C.)
| | - Janice Raabe
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany (B.S., J.R., S.B., P.K., T.Z., C.M., T.E., F.C.)
- Institute of Experimental Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.R., B.K., T.E., F.C.)
| | - Arvid Hutzfeldt
- III Department of Medicine and Hamburg Center for Kidney Health, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (A.H., M.L., E.H., T.B.H., M.M.R.)
| | - Fatih Demir
- Departments of Biomedicine (A.M.B., F.D., E.K., J.J., R.A.F., M.C., M.M.R.), Aarhus University, Denmark
| | - Elina Kovalenko
- Departments of Biomedicine (A.M.B., F.D., E.K., J.J., R.A.F., M.C., M.M.R.), Aarhus University, Denmark
| | - Moritz Lassé
- III Department of Medicine and Hamburg Center for Kidney Health, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (A.H., M.L., E.H., T.B.H., M.M.R.)
| | - Aurelien Dugourd
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, BioQuant, Heidelberg, Germany (A.D., R.F., J.S.-R.)
| | - Robin Fallegger
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, BioQuant, Heidelberg, Germany (A.D., R.F., J.S.-R.)
| | - Birgit Klampe
- Institute of Experimental Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.R., B.K., T.E., F.C.)
| | - Johannes Jaegers
- Departments of Biomedicine (A.M.B., F.D., E.K., J.J., R.A.F., M.C., M.M.R.), Aarhus University, Denmark
| | - Qing Li
- Engineering (Q.L., C.S.), Aarhus University, Denmark
| | - Olha Kravtsova
- Departments of Biomedicine (A.M.B., F.D., E.K., J.J., R.A.F., M.C., M.M.R.), Aarhus University, Denmark
| | - Maria Crespo-Masip
- Departments of Medicine and Pharmacology, University of California San Diego, La Jolla (Y.C.K., M.C.-M., V.V.)
- VA San Diego Healthcare System, CA (Y.C.K., M.C.-M., V.V.)
| | - Amelia Palermo
- Scripps Research, Center for Metabolomics, San Diego, CA (A.P., G.S., M.M.R.)
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles (A.P.)
| | - Robert A. Fenton
- Departments of Biomedicine (A.M.B., F.D., E.K., J.J., R.A.F., M.C., M.M.R.), Aarhus University, Denmark
| | - Elion Hoxha
- III Department of Medicine and Hamburg Center for Kidney Health, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (A.H., M.L., E.H., T.B.H., M.M.R.)
| | - Stefan Blankenberg
- Department of Cardiology, University Heart and Vascular Center Hamburg, Germany (B.S., S.B., P.K., T.Z., C.M.)
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany (B.S., J.R., S.B., P.K., T.Z., C.M., T.E., F.C.)
| | - Paulus Kirchhof
- Department of Cardiology, University Heart and Vascular Center Hamburg, Germany (B.S., S.B., P.K., T.Z., C.M.)
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany (B.S., J.R., S.B., P.K., T.Z., C.M., T.E., F.C.)
- Institute of Cardiovascular Sciences, University of Birmingham, United Kingdom (P.K.)
| | - Tobias B. Huber
- III Department of Medicine and Hamburg Center for Kidney Health, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (A.H., M.L., E.H., T.B.H., M.M.R.)
| | - Esben Laugesen
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Denmark (S.G., E.L.)
- Diagnostic Centre, Silkeborg Regional Hospital, Denmark (E.L.)
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular Center Hamburg, Germany (B.S., S.B., P.K., T.Z., C.M.)
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany (B.S., J.R., S.B., P.K., T.Z., C.M., T.E., F.C.)
| | - Maria Chrysopoulou
- Departments of Biomedicine (A.M.B., F.D., E.K., J.J., R.A.F., M.C., M.M.R.), Aarhus University, Denmark
| | - Julio Saez-Rodriguez
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, BioQuant, Heidelberg, Germany (A.D., R.F., J.S.-R.)
| | - Christina Magnussen
- Department of Cardiology, University Heart and Vascular Center Hamburg, Germany (B.S., S.B., P.K., T.Z., C.M.)
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany (B.S., J.R., S.B., P.K., T.Z., C.M., T.E., F.C.)
| | - Thomas Eschenhagen
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany (B.S., J.R., S.B., P.K., T.Z., C.M., T.E., F.C.)
- Institute of Experimental Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.R., B.K., T.E., F.C.)
| | - Alexander Staruschenko
- Department of Molecular Pharmacology and Physiology, University of South Florida, Tampa (O.K., A.S.)
| | - Gary Siuzdak
- Scripps Research, Center for Metabolomics, San Diego, CA (A.P., G.S., M.M.R.)
| | - Per L. Poulsen
- Clinical Medicine (S.G., P.L.P.), Aarhus University, Denmark
- Steno Diabetes Center (P.L.P.), Aarhus University, Denmark
| | | | - Friederike Cuello
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Hamburg, Germany (B.S., J.R., S.B., P.K., T.Z., C.M., T.E., F.C.)
- Institute of Experimental Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (J.R., B.K., T.E., F.C.)
| | - Volker Vallon
- Departments of Medicine and Pharmacology, University of California San Diego, La Jolla (Y.C.K., M.C.-M., V.V.)
- VA San Diego Healthcare System, CA (Y.C.K., M.C.-M., V.V.)
| | - Markus M. Rinschen
- Departments of Biomedicine (A.M.B., F.D., E.K., J.J., R.A.F., M.C., M.M.R.), Aarhus University, Denmark
- Aarhus Institute of Advanced Studies (M.M.R.), Aarhus University, Denmark
- III Department of Medicine and Hamburg Center for Kidney Health, University Medical Center Hamburg-Eppendorf, Hamburg, Germany (A.H., M.L., E.H., T.B.H., M.M.R.)
- Scripps Research, Center for Metabolomics, San Diego, CA (A.P., G.S., M.M.R.)
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17
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Rii J, Sakamoto S, Mizokami A, Xu M, Fujimoto A, Saito S, Koike H, Tamura T, Arai T, Yamada Y, Goto Y, Sazuka T, Imamura Y, Suzuki K, Kanai Y, Anzai N, Ichikawa T. L-type amino acid transporter 1 inhibitor JPH203 prevents the growth of cabazitaxel-resistant prostate cancer by inhibiting cyclin-dependent kinase activity. Cancer Sci 2024; 115:937-953. [PMID: 38186218 PMCID: PMC10920979 DOI: 10.1111/cas.16062] [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: 05/25/2023] [Revised: 11/29/2023] [Accepted: 12/13/2023] [Indexed: 01/09/2024] Open
Abstract
L-type amino acid transporter 1 (LAT1, SLC7A5) is an amino acid transporter expressed in various carcinomas, and it is postulated to play an important role in the proliferation of cancer cells through the uptake of essential amino acids. Cabazitaxel is a widely used anticancer drug for treating castration-resistant prostate cancer (CRPC); however, its effectiveness is lost when cancer cells acquire drug resistance. In this study, we investigated the expression of LAT1 and the effects of a LAT1-specific inhibitor, JPH203, in cabazitaxel-resistant prostate cancer cells. LAT1 was more highly expressed in the cabazitaxel-resistant strains than in the normal strains. Administration of JPH203 inhibited the growth, migration, and invasive ability of cabazitaxel-resistant strains in vitro. Phosphoproteomics using liquid chromatography-mass spectrometry to comprehensively investigate changes in phosphorylation due to JPH203 administration revealed that cell cycle-related pathways were affected by JPH203, and that JPH203 significantly reduced the kinase activity of cyclin-dependent kinases 1 and 2. Moreover, JPH203 inhibited the proliferation of cabazitaxel-resistant cells in vivo. Taken together, the present study results suggest that LAT1 might be a valuable therapeutic target in cabazitaxel-resistant prostate cancer.
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Grants
- #20K09555 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- #20H03813 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- #20K09572 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- #20K18087 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
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Affiliation(s)
- Junryo Rii
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
| | - Shinichi Sakamoto
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
| | - Atsushi Mizokami
- Department of Integrative Cancer Therapy and Urology, Graduate School of Medical ScienceKanazawa UniversityKanazawaJapan
| | - Minhui Xu
- Bio‐System PharmacologyOsaka University Graduate School of MedicineOsakaJapan
| | - Ayumi Fujimoto
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
| | - Shinpei Saito
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
- Department of PharmacologyChiba University Graduate School of MedicineChibaJapan
| | - Hidekazu Koike
- Department of UrologyGunma University Graduate School of MedicineMaebashiJapan
| | - Takaaki Tamura
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
| | - Takayuki Arai
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
| | - Yasutaka Yamada
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
| | - Yusuke Goto
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
| | - Tomokazu Sazuka
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
| | - Yusuke Imamura
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
| | - Kazuhiro Suzuki
- Department of UrologyGunma University Graduate School of MedicineMaebashiJapan
| | - Yoshikatsu Kanai
- Bio‐System PharmacologyOsaka University Graduate School of MedicineOsakaJapan
| | - Naohiko Anzai
- Department of PharmacologyChiba University Graduate School of MedicineChibaJapan
| | - Tomohiko Ichikawa
- Department of UrologyChiba University Graduate School of MedicineChibaJapan
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18
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Provenzale I, Solari FA, Schönichen C, Brouns SLN, Fernández DI, Kuijpers MJE, van der Meijden PEJ, Gibbins JM, Sickmann A, Jones C, Heemskerk JWM. Endothelium-mediated regulation of platelet activation: Involvement of multiple protein kinases. FASEB J 2024; 38:e23468. [PMID: 38334433 DOI: 10.1096/fj.202300360rr] [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: 02/25/2023] [Revised: 01/11/2024] [Accepted: 01/23/2024] [Indexed: 02/10/2024]
Abstract
The endothelial regulation of platelet activity is incompletely understood. Here we describe novel approaches to find molecular pathways implicated on the platelet-endothelium interaction. Using high-shear whole-blood microfluidics, employing coagulant or non-coagulant conditions at physiological temperature, we observed that the presence of human umbilical vein endothelial cells (HUVEC) strongly suppressed platelet adhesion and activation, via the collagen receptor glycoprotein VI (GPVI) and the PAR receptors for thrombin. Real-time monitoring of the cytosolic Ca2+ rises in the platelets indicated no major improvement of inhibition by prostacyclin or nitric oxide. Similarly under stasis, exposure of isolated platelets to HUVEC reduced the Ca2+ responses by collagen-related peptide (CRP-XL, GPVI agonist) and thrombin (PAR agonist). We then analyzed the label-free phosphoproteome of platelets (three donors), exposed to HUVEC, CRP-XL, and/or thrombin. High-resolution mass spectrometry gave 5463 phosphopeptides, corresponding to 1472 proteins, with good correlation between biological and technical replicates (R > .86). Stringent filtering steps revealed 26 regulatory pathways (Reactome) and 143 regulated kinase substrates (PhosphoSitePlus), giving a set of protein phosphorylation sites that was differentially (44) or similarly (110) regulated by HUVEC or agonist exposure. The differential regulation was confirmed by stable-isotope analysis of platelets from two additional donors. Substrate analysis indicated major roles of poorly studied protein kinase classes (MAPK, CDK, DYRK, STK, PKC members). Collectively, these results reveal a resetting of the protein phosphorylation profile in platelets exposed to endothelium or to conventional agonists and to endothelium-promoted activity of a multi-kinase network, beyond classical prostacyclin and nitric oxide actors, that may contribute to platelet inhibition.
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Affiliation(s)
- Isabella Provenzale
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Institute for Cardiovascular and Metabolic Research (ICMR), School of Biological Sciences, University of Reading, Reading, UK
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany
| | - Fiorella A Solari
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany
| | - Claudia Schönichen
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Center for Thrombosis and Haemostasis, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sanne L N Brouns
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Delia I Fernández
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Marijke J E Kuijpers
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Thrombosis Expertise Center, Heart and Vascular Center, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Paola E J van der Meijden
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Thrombosis Expertise Center, Heart and Vascular Center, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Jonathan M Gibbins
- Institute for Cardiovascular and Metabolic Research (ICMR), School of Biological Sciences, University of Reading, Reading, UK
| | - Albert Sickmann
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany
- Medizinische Fakultät, Medizinische Proteom-Center, Ruhr-Universität Bochum, Bochum, Germany
- Department of Chemistry, College of Physical Sciences, University of Aberdeen, Aberdeen, UK
| | - Chris Jones
- Institute for Cardiovascular and Metabolic Research (ICMR), School of Biological Sciences, University of Reading, Reading, UK
| | - Johan W M Heemskerk
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
- Synapse Research Institute Maastricht, Maastricht, The Netherlands
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19
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Kaneko T, Ezra S, Abdo R, Voss C, Zhong S, Liu X, Hovey O, Slessarev M, Van Nynatten LR, Ye M, Fraser DD, Li SSC. Kinome and phosphoproteome reprogramming underlies the aberrant immune responses in critically ill COVID-19 patients. Clin Proteomics 2024; 21:13. [PMID: 38389037 PMCID: PMC10882830 DOI: 10.1186/s12014-024-09457-w] [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: 06/14/2023] [Accepted: 01/29/2024] [Indexed: 02/24/2024] Open
Abstract
SARS-CoV-2 infection triggers extensive host immune reactions, leading to severe diseases in certain individuals. However, the molecular basis underlying the excessive yet non-productive immune responses in severe COVID-19 remains incompletely understood. In this study, we conducted a comprehensive analysis of the peripheral blood mononuclear cell (PBMC) proteome and phosphoproteome in sepsis patients positive or negative for SARS-CoV-2 infection, as well as healthy subjects, using quantitative mass spectrometry. Our findings demonstrate dynamic changes in the COVID-19 PBMC proteome and phosphoproteome during disease progression, with distinctive protein or phosphoprotein signatures capable of distinguishing longitudinal disease states. Furthermore, SARS-CoV-2 infection induces a global reprogramming of the kinome and phosphoproteome, resulting in defective adaptive immune response mediated by the B and T lymphocytes, compromised innate immune responses involving the SIGLEC and SLAM family of immunoreceptors, and excessive cytokine-JAK-STAT signaling. In addition to uncovering host proteome and phosphoproteome aberrations caused by SARS-CoV-2, our work recapitulates several reported therapeutic targets for COVID-19 and identified numerous new candidates, including the kinases PKG1, CK2, ROCK1/2, GRK2, SYK, JAK2/3, TYK2, DNA-PK, PKCδ, and the cytokine IL-12.
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Affiliation(s)
- Tomonori Kaneko
- Departments of Biochemistry, Western University, London, ON, N6A 5C1, Canada
| | - Sally Ezra
- Departments of Biochemistry, Western University, London, ON, N6A 5C1, Canada
| | - Rober Abdo
- Department of Pathology and Laboratory Medicine, Western University, London, Canada
| | - Courtney Voss
- Departments of Biochemistry, Western University, London, ON, N6A 5C1, Canada
| | - Shanshan Zhong
- Departments of Biochemistry, Western University, London, ON, N6A 5C1, Canada
| | - Xuguang Liu
- Departments of Biochemistry, Western University, London, ON, N6A 5C1, Canada
| | - Owen Hovey
- Departments of Biochemistry, Western University, London, ON, N6A 5C1, Canada
| | - Marat Slessarev
- Departments of Medicine and Pediatrics, Western University, London, Canada
| | | | - Mingliang Ye
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian, 116023, China
| | - Douglas D Fraser
- Departments of Medicine and Pediatrics, Western University, London, Canada
- Lawson Health Research Institute, 750 Base Line Rd E, London, ON, N6C 2R5, Canada
| | - Shawn Shun-Cheng Li
- Departments of Biochemistry, Western University, London, ON, N6A 5C1, Canada.
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20
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Tang S, Wang Y, Luo R, Fang R, Liu Y, Xiang H, Ran P, Tong Y, Sun M, Tan S, Huang W, Huang J, Lv J, Xu N, Yao Z, Zhang Q, Xu Z, Yue X, Yu Z, Akesu S, Ding Y, Xu C, Lu W, Zhou Y, Hou Y, Ding C. Proteomic characterization identifies clinically relevant subgroups of soft tissue sarcoma. Nat Commun 2024; 15:1381. [PMID: 38360860 PMCID: PMC10869728 DOI: 10.1038/s41467-024-45306-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: 04/29/2023] [Accepted: 01/18/2024] [Indexed: 02/17/2024] Open
Abstract
Soft tissue sarcoma is a broad family of mesenchymal malignancies exhibiting remarkable histological diversity. We portray the proteomic landscape of 272 soft tissue sarcomas representing 12 major subtypes. Hierarchical classification finds the similarity of proteomic features between angiosarcoma and epithelial sarcoma, and elevated expression of SHC1 in AS and ES is correlated with poor prognosis. Moreover, proteomic clustering classifies patients of soft tissue sarcoma into 3 proteomic clusters with diverse driven pathways and clinical outcomes. In the proteomic cluster featured with the high cell proliferation rate, APEX1 and NPM1 are found to promote cell proliferation and drive the progression of cancer cells. The classification based on immune signatures defines three immune subtypes with distinctive tumor microenvironments. Further analysis illustrates the potential association between immune evasion markers (PD-L1 and CD80) and tumor metastasis in soft tissue sarcoma. Overall, this analysis uncovers sarcoma-type-specific changes in proteins, providing insights about relationships of soft tissue sarcoma.
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Affiliation(s)
- Shaoshuai Tang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Yunzhi Wang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Rongkui Luo
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Rundong Fang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Yufeng Liu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hang Xiang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Peng Ran
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Yexin Tong
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Mingjun Sun
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Subei Tan
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Wen Huang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Huang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jiacheng Lv
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Ning Xu
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Zhenmei Yao
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Qiao Zhang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Ziyan Xu
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Xuetong Yue
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China
| | - Zixiang Yu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Sujie Akesu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuqin Ding
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
| | - Chen Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Weiqi Lu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Yuhong Zhou
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Yingyong Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Chen Ding
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Human Phenome Institute, Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200433, China.
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21
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Yi X, Wen B, Ji S, Saltzman AB, Jaehnig EJ, Lei JT, Gao Q, Zhang B. Deep Learning Prediction Boosts Phosphoproteomics-Based Discoveries Through Improved Phosphopeptide Identification. Mol Cell Proteomics 2024; 23:100707. [PMID: 38154692 PMCID: PMC10831110 DOI: 10.1016/j.mcpro.2023.100707] [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: 01/10/2023] [Revised: 11/06/2023] [Accepted: 12/23/2023] [Indexed: 12/30/2023] Open
Abstract
Shotgun phosphoproteomics enables high-throughput analysis of phosphopeptides in biological samples. One of the primary challenges associated with this technology is the relatively low rate of phosphopeptide identification during data analysis. This limitation hampers the full realization of the potential offered by shotgun phosphoproteomics. Here we present DeepRescore2, a computational workflow that leverages deep learning-based retention time and fragment ion intensity predictions to improve phosphopeptide identification and phosphosite localization. Using a state-of-the-art computational workflow as a benchmark, DeepRescore2 increases the number of correctly identified peptide-spectrum matches by 17% in a synthetic dataset and identifies 19% to 46% more phosphopeptides in biological datasets. In a liver cancer dataset, 30% of the significantly altered phosphosites between tumor and normal tissues and 60% of the prognosis-associated phosphosites identified from DeepRescore2-processed data could not be identified based on the state-of-the-art workflow. Notably, DeepRescore2-processed data uniquely identifies EGFR hyperactivation as a new target in poor-prognosis liver cancer, which is validated experimentally. Integration of deep learning prediction in DeepRescore2 improves phosphopeptide identification and facilitates biological discoveries.
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Affiliation(s)
- Xinpei Yi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Shuyi Ji
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital and Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of China, Fudan University, Shanghai, China
| | - Alexander B Saltzman
- Mass Spectrometry Proteomics Core, Advanced Technology Cores, Baylor College of Medicine, Houston, Texas, USA
| | - Eric J Jaehnig
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Jonathan T Lei
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital and Key Laboratory of Carcinogenesis and Cancer Invasion of the Ministry of China, Fudan University, Shanghai, China
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
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22
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Liu Y, Lian G, Chen T. A novel multi-omics data analysis of dose-dependent and temporal changes in regulatory pathways due to chemical perturbation: a case study on caffeine. Toxicol Mech Methods 2024; 34:164-175. [PMID: 37794615 DOI: 10.1080/15376516.2023.2265462] [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: 07/19/2023] [Accepted: 09/26/2023] [Indexed: 10/06/2023]
Abstract
Comprehensive analysis of multi-omics data can reveal alterations in regulatory pathways induced by cellular exposure to chemicals by characterizing biological processes at the molecular level. Data-driven omics analysis, conducted in a dose-dependent or dynamic manner, can facilitate comprehending toxicity mechanisms. This study introduces a novel multi-omics data analysis designed to concurrently examine dose-dependent and temporal patterns of cellular responses to chemical perturbations. This analysis, encompassing preliminary exploration, pattern deconstruction, and network reconstruction of multi-omics data, provides a comprehensive perspective on the dynamic behaviors of cells exposed to varying levels of chemical stimuli. Importantly, this analysis is adaptable to any number of omics layers, including site-specific phosphoproteomics. We implemented this analysis on multi-omics data obtained from HepG2 cells exposed to a range of caffeine doses over varying durations and identified six response patterns, along with their associated biomolecules and pathways. Our study demonstrates the effectiveness of the proposed multi-omics data analysis in capturing multidimensional patterns of cellular response to chemical perturbation, enhancing understanding of pathway regulation for chemical risk assessment.
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Affiliation(s)
- Yufan Liu
- School of Chemistry and Chemical Engineering, University of Surrey, Guildford, UK
| | - Guoping Lian
- School of Chemistry and Chemical Engineering, University of Surrey, Guildford, UK
- Unilever R&D Colworth, Bedford, UK
| | - Tao Chen
- School of Chemistry and Chemical Engineering, University of Surrey, Guildford, UK
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23
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Watts ME, Giadone RM, Ordureau A, Holton KM, Harper JW, Rubin LL. Analyzing the ER stress response in ALS patient derived motor neurons identifies druggable neuroprotective targets. Front Cell Neurosci 2024; 17:1327361. [PMID: 38314348 PMCID: PMC10834640 DOI: 10.3389/fncel.2023.1327361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 12/15/2023] [Indexed: 02/06/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a degenerative motor neuron (MN) disease with severely limited treatment options. Identification of effective treatments has been limited in part by the lack of predictive animal models for complex human disorders. Here, we utilized pharmacologic ER stressors to exacerbate underlying sensitivities conferred by ALS patient genetics in induced pluripotent stem cell (iPSC)-derived motor neurons (MNs). In doing so, we found that thapsigargin and tunicamycin exposure recapitulated ALS-associated degeneration, and that we could rescue this degeneration via MAP4K4 inhibition (MAP4K4i). We subsequently identified mechanisms underlying MAP4K4i-mediated protection by performing phosphoproteomics on iPSC-derived MNs treated with ER stressors ±MAP4K4i. Through these analyses, we found JNK, PKC, and BRAF to be differentially modulated in MAP4K4i-protected MNs, and that inhibitors to these proteins could also rescue MN toxicity. Collectively, this study highlights the value of utilizing ER stressors in ALS patient MNs to identify novel druggable targets.
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Affiliation(s)
- Michelle E. Watts
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, United States
| | - Richard M. Giadone
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, United States
| | - Alban Ordureau
- Department of Cell Biology, Harvard Medical School, Boston, MA, United States
| | - Kristina M. Holton
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, United States
| | - J. Wade Harper
- Department of Cell Biology, Harvard Medical School, Boston, MA, United States
| | - Lee L. Rubin
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, United States
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24
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Leung TCN, Lu SN, Chu CN, Lee J, Liu X, Ngai SM. Temporal Quantitative Proteomic and Phosphoproteomic Profiling of SH-SY5Y and IMR-32 Neuroblastoma Cells during All- Trans-Retinoic Acid-Induced Neuronal Differentiation. Int J Mol Sci 2024; 25:1047. [PMID: 38256121 PMCID: PMC10816102 DOI: 10.3390/ijms25021047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/05/2024] [Accepted: 01/13/2024] [Indexed: 01/24/2024] Open
Abstract
The human neuroblastoma cell lines SH-SY5Y and IMR-32 can be differentiated into neuron-like phenotypes through treatment with all-trans-retinoic acid (ATRA). After differentiation, these cell lines are extensively utilized as in vitro models to study various aspects of neuronal cell biology. However, temporal and quantitative profiling of the proteome and phosphoproteome of SH-SY5Y and IMR-32 cells throughout ATRA-induced differentiation has been limited. Here, we performed relative quantification of the proteomes and phosphoproteomes of SH-SY5Y and IMR-32 cells at multiple time points during ATRA-induced differentiation. Relative quantification of proteins and phosphopeptides with subsequent gene ontology analysis revealed that several biological processes, including cytoskeleton organization, cell division, chaperone function and protein folding, and one-carbon metabolism, were associated with ATRA-induced differentiation in both cell lines. Furthermore, kinase-substrate enrichment analysis predicted altered activities of several kinases during differentiation. Among these, CDK5 exhibited increased activity, while CDK2 displayed reduced activity. The data presented serve as a valuable resource for investigating temporal protein and phosphoprotein abundance changes in SH-SY5Y and IMR-32 cells during ATRA-induced differentiation.
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Affiliation(s)
- Thomas C. N. Leung
- State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China
| | - Scott Ninghai Lu
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China; (S.N.L.); (C.N.C.); (J.L.); (X.L.)
| | - Cheuk Ning Chu
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China; (S.N.L.); (C.N.C.); (J.L.); (X.L.)
| | - Joy Lee
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China; (S.N.L.); (C.N.C.); (J.L.); (X.L.)
| | - Xingyu Liu
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China; (S.N.L.); (C.N.C.); (J.L.); (X.L.)
| | - Sai Ming Ngai
- State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, China
- School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China; (S.N.L.); (C.N.C.); (J.L.); (X.L.)
- AoE Centre for Genomic Studies on Plant-Environment Interaction for Sustainable Agriculture and Food Security, The Chinese University of Hong Kong, Hong Kong, China
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25
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Zou J, Qin Z, Li R, Yan X, Huang H, Yang B, Zhou F, Zhang L. iProPhos: A Web-Based Interactive Platform for Integrated Proteome and Phosphoproteome Analysis. Mol Cell Proteomics 2024; 23:100693. [PMID: 38097182 PMCID: PMC10828474 DOI: 10.1016/j.mcpro.2023.100693] [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: 06/15/2023] [Revised: 11/06/2023] [Accepted: 12/11/2023] [Indexed: 01/29/2024] Open
Abstract
Large-scale omics studies have generated a wealth of mass spectrometry-based proteomics data, which provide additional insights into disease biology spanning genomic boundaries. However, there is a notable lack of web-based analysis and visualization tools that facilitate the reutilization of these data. Given this challenge, we present iProPhos, a user-friendly web server to deliver interactive and customizable functionalities. iProPhos incorporates a large number of samples, including 1444 tumor samples and 746 normal samples across 12 cancer types, sourced from the Clinical Proteomic Tumor Analysis Consortium. Additionally, users can also upload their own proteomics/phosphoproteomics data for analysis and visualization. In iProPhos, users can perform profiling plotting and differential expression, patient survival, clinical feature-related, and correlation analyses, including protein-protein, mRNA-protein, and kinase-substrate correlations. Furthermore, functional enrichment, protein-protein interaction network, and kinase-substrate enrichment analyses are accessible. iProPhos displays the analytical results in interactive figures and tables with various selectable parameters. It is freely accessible at http://longlab-zju.cn/iProPhos without login requirement. We present two case studies to demonstrate that iProPhos can identify potential drug targets and upstream kinases contributing to site-specific phosphorylation. Ultimately, iProPhos allows end-users to leverage the value of big data in cancer proteomics more effectively and accelerates the discovery of novel therapeutic targets.
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Affiliation(s)
- Jing Zou
- The Second Affiliated Hospital and Life Sciences Institute and School of Medicine, The MOE Key Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Zhejiang University, Hangzhou, China
| | - Ziran Qin
- The Second Affiliated Hospital and Life Sciences Institute and School of Medicine, The MOE Key Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Zhejiang University, Hangzhou, China
| | - Ran Li
- School of Medicine, Hangzhou City University, Hangzhou, China.
| | - Xiaohua Yan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Nanchang University, Nanchang, China
| | - Huizhe Huang
- The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Bing Yang
- The Second Affiliated Hospital and Life Sciences Institute and School of Medicine, The MOE Key Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Zhejiang University, Hangzhou, China; Department of Pharmaceutical Chemistry and the Cardiovascular Research Institute, University of California, San Francisco, California, USA
| | - Fangfang Zhou
- Institutes of Biology and Medical Sciences, Soochow University, Suzhou, China.
| | - Long Zhang
- The Second Affiliated Hospital and Life Sciences Institute and School of Medicine, The MOE Key Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Zhejiang University, Hangzhou, China; Cancer Center, Zhejiang University, Hangzhou, China.
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26
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Mayayo-Peralta I, Debets DO, Prekovic S, Schuurman K, Beerthuijzen S, Almekinders M, Sanders J, Moelans CB, Saleiro S, Wesseling J, van Diest PJ, Henrique R, Jerónimo C, Altelaar M, Zwart W. Proteomics on malignant pleural effusions reveals ERα loss in metastatic breast cancer associates with SGK1-NDRG1 deregulation. Mol Oncol 2024; 18:156-169. [PMID: 37854018 PMCID: PMC10766196 DOI: 10.1002/1878-0261.13540] [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: 05/02/2023] [Revised: 09/06/2023] [Accepted: 10/17/2023] [Indexed: 10/20/2023] Open
Abstract
Breast cancer (BCa) is a highly heterogeneous disease, with hormone receptor status being a key factor in patient prognostication and treatment decision-making. The majority of primary tumours are positive for oestrogen receptor alpha (ERα), which plays a key role in tumorigenesis and disease progression, and represents the major target for treatment of BCa. However, around one-third of patients with ERα-positive BCa relapse and progress into the metastatic stage, with 20% of metastatic cases characterised by loss of ERα expression after endocrine treatment, known as ERα-conversion. It remains unclear whether ERα-converted cancers are biologically similar to bona fide ERα-negative disease and which signalling cascades compensate for ERα loss and drive tumour progression. To better understand the biological changes that occur in metastatic BCa upon ERα loss, we performed (phospho)proteomics analysis of 47 malignant pleural effusions derived from 37 BCa patients, comparing ERα-positive, ERα-converted and ERα-negative cases. Our data revealed that the loss of ERα-dependency in this metastatic site leads to only a partial switch to an ERα-negative molecular phenotype, with preservation of a luminal-like proteomic landscape. Furthermore, we found evidence for decreased activity of several key kinases, including serum/glucocorticoid regulated kinase 1 (SGK1), in ERα-converted metastases. Loss of SGK1 substrate phosphorylation may compensate for the loss of ERα-dependency in advanced disease and exposes a potential therapeutic vulnerability that may be exploited in treating these patients.
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Affiliation(s)
- Isabel Mayayo-Peralta
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Donna O Debets
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, Utrecht University and Netherlands Proteomics Centre, The Netherlands
| | - Stefan Prekovic
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Karianne Schuurman
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Suzanne Beerthuijzen
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Mathilde Almekinders
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Joyce Sanders
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Cathy B Moelans
- Department of Pathology, University Medical Center Utrecht, The Netherlands
| | - Sandra Saleiro
- Lung Cancer Clinics, Portuguese Oncology Institute of Porto, Portugal
| | - Jelle Wesseling
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Pathology, Leiden University Medical Center, The Netherlands
| | - Paul J van Diest
- Department of Pathology, University Medical Center Utrecht, The Netherlands
| | - Rui Henrique
- Cancer Biology and Epigenetics Group, Research Center of the Portuguese Oncology Institute-Porto, Portugal
- Department of Pathology, Portuguese Oncology Institute of Porto, Portugal
- Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Portugal
| | - Carmen Jerónimo
- Cancer Biology and Epigenetics Group, Research Center of the Portuguese Oncology Institute-Porto, Portugal
- Department of Pathology, Portuguese Oncology Institute of Porto, Portugal
- Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Portugal
| | - Maarten Altelaar
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research, Utrecht Institute for Pharmaceutical Sciences, Utrecht University and Netherlands Proteomics Centre, The Netherlands
| | - Wilbert Zwart
- Division of Oncogenomics, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Laboratory of Chemical Biology and Institute for Complex Molecular Systems, Department of Biomedical Engineering, Eindhoven University of Technology, The Netherlands
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27
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Xing X, Hu E, Ouyang J, Zhong X, Wang F, Liu K, Cai L, Zhou Y, Wang Y, Chen G, Li Z, Wu L, Liu X. Integrated omics landscape of hepatocellular carcinoma suggests proteomic subtypes for precision therapy. Cell Rep Med 2023; 4:101315. [PMID: 38091986 PMCID: PMC10783603 DOI: 10.1016/j.xcrm.2023.101315] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 09/20/2023] [Accepted: 11/15/2023] [Indexed: 12/22/2023]
Abstract
Patients with hepatocellular carcinoma (HCC) at the same clinical stage can have extremely different prognoses, and molecular subtyping provides an opportunity for individualized precision treatment. In this study, genomic, transcriptomic, proteomic, and phosphoproteomic profiling of primary tumor tissues and paired para-tumor tissues from HCC patients (N = 160) are integrated. Proteomic profiling identifies three HCC subtypes with different clinical prognosis, which are validated in three publicly available external validation sets. A simplified panel of nine proteins associated with metabolic reprogramming is further identified as a potential subtype-specific biomarker for clinical application. Multi-omics analysis further reveals that three proteomic subtypes have significant differences in genetic alterations, microenvironment dysregulation, kinase-substrate regulatory networks, and therapeutic responses. Patient-derived cell-based drug tests (N = 26) show personalized responses for sorafenib in three proteomic subtypes, which can be predicted by a machine-learning response prediction model. Overall, this study provides a valuable resource for better understanding of HCC subtypes for precision clinical therapy.
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Affiliation(s)
- Xiaohua Xing
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - En Hu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Jiahe Ouyang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Xianyu Zhong
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Fei Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Kaixin Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Linsheng Cai
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Yang Zhou
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Yingchao Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Geng Chen
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Zhenli Li
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Liming Wu
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China.
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China.
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28
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Stephenson EH, Higgins JMG. Pharmacological approaches to understanding protein kinase signaling networks. Front Pharmacol 2023; 14:1310135. [PMID: 38164473 PMCID: PMC10757940 DOI: 10.3389/fphar.2023.1310135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 11/27/2023] [Indexed: 01/03/2024] Open
Abstract
Protein kinases play vital roles in controlling cell behavior, and an array of kinase inhibitors are used successfully for treatment of disease. Typical drug development pipelines involve biological studies to validate a protein kinase target, followed by the identification of small molecules that effectively inhibit this target in cells, animal models, and patients. However, it is clear that protein kinases operate within complex signaling networks. These networks increase the resilience of signaling pathways, which can render cells relatively insensitive to inhibition of a single kinase, and provide the potential for pathway rewiring, which can result in resistance to therapy. It is therefore vital to understand the properties of kinase signaling networks in health and disease so that we can design effective multi-targeted drugs or combinations of drugs. Here, we outline how pharmacological and chemo-genetic approaches can contribute to such knowledge, despite the known low selectivity of many kinase inhibitors. We discuss how detailed profiling of target engagement by kinase inhibitors can underpin these studies; how chemical probes can be used to uncover kinase-substrate relationships, and how these tools can be used to gain insight into the configuration and function of kinase signaling networks.
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Affiliation(s)
| | - Jonathan M. G. Higgins
- Faculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle uponTyne, United Kingdom
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29
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Zhao S, Cordes J, Caban KM, Götz MJ, Mackens-Kiani T, Veltri AJ, Sinha NK, Weickert P, Kaya S, Hewitt G, Nedialkova DD, Fröhlich T, Beckmann R, Buskirk AR, Green R, Stingele J. RNF14-dependent atypical ubiquitylation promotes translation-coupled resolution of RNA-protein crosslinks. Mol Cell 2023; 83:4290-4303.e9. [PMID: 37951216 PMCID: PMC10783637 DOI: 10.1016/j.molcel.2023.10.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/17/2023] [Accepted: 10/13/2023] [Indexed: 11/13/2023]
Abstract
Reactive aldehydes are abundant endogenous metabolites that challenge homeostasis by crosslinking cellular macromolecules. Aldehyde-induced DNA damage requires repair to prevent cancer and premature aging, but it is unknown whether cells also possess mechanisms that resolve aldehyde-induced RNA lesions. Here, we establish photoactivatable ribonucleoside-enhanced crosslinking (PAR-CL) as a model system to study RNA crosslinking damage in the absence of confounding DNA damage in human cells. We find that such RNA damage causes translation stress by stalling elongating ribosomes, which leads to collisions with trailing ribosomes and activation of multiple stress response pathways. Moreover, we discovered a translation-coupled quality control mechanism that resolves covalent RNA-protein crosslinks. Collisions between translating ribosomes and crosslinked mRNA-binding proteins trigger their modification with atypical K6- and K48-linked ubiquitin chains. Ubiquitylation requires the E3 ligase RNF14 and leads to proteasomal degradation of the protein adduct. Our findings identify RNA lesion-induced translational stress as a central component of crosslinking damage.
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Affiliation(s)
- Shubo Zhao
- Department of Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Jacqueline Cordes
- Department of Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Karolina M Caban
- Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Maximilian J Götz
- Department of Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Timur Mackens-Kiani
- Department of Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Anthony J Veltri
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Niladri K Sinha
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Pedro Weickert
- Department of Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Selay Kaya
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Graeme Hewitt
- King's College London School of Cancer & Pharmaceutical Sciences, London, UK
| | - Danny D Nedialkova
- Max Planck Institute of Biochemistry, Martinsried, Germany; Technical University of Munich, TUM School of Natural Sciences, Department of Bioscience, Garching, Germany
| | - Thomas Fröhlich
- Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Roland Beckmann
- Department of Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Allen R Buskirk
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Rachel Green
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, USA; Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Julian Stingele
- Department of Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany.
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30
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Suryo Rahmanto A, Blum CJ, Scalera C, Heidelberger JB, Mesitov M, Horn-Ghetko D, Gräf JF, Mikicic I, Hobrecht R, Orekhova A, Ostermaier M, Ebersberger S, Möckel MM, Krapoth N, Da Silva Fernandes N, Mizi A, Zhu Y, Chen JX, Choudhary C, Papantonis A, Ulrich HD, Schulman BA, König J, Beli P. K6-linked ubiquitylation marks formaldehyde-induced RNA-protein crosslinks for resolution. Mol Cell 2023; 83:4272-4289.e10. [PMID: 37951215 DOI: 10.1016/j.molcel.2023.10.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/17/2023] [Accepted: 10/13/2023] [Indexed: 11/13/2023]
Abstract
Reactive aldehydes are produced by normal cellular metabolism or after alcohol consumption, and they accumulate in human tissues if aldehyde clearance mechanisms are impaired. Their toxicity has been attributed to the damage they cause to genomic DNA and the subsequent inhibition of transcription and replication. However, whether interference with other cellular processes contributes to aldehyde toxicity has not been investigated. We demonstrate that formaldehyde induces RNA-protein crosslinks (RPCs) that stall the ribosome and inhibit translation in human cells. RPCs in the messenger RNA (mRNA) are recognized by the translating ribosomes, marked by atypical K6-linked ubiquitylation catalyzed by the RING-in-between-RING (RBR) E3 ligase RNF14, and subsequently resolved by the ubiquitin- and ATP-dependent unfoldase VCP. Our findings uncover an evolutionary conserved formaldehyde-induced stress response pathway that protects cells against RPC accumulation in the cytoplasm, and they suggest that RPCs contribute to the cellular and tissue toxicity of reactive aldehydes.
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Affiliation(s)
- Aldwin Suryo Rahmanto
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany; Institute of Developmental Biology and Neurobiology (IDN), Johannes Gutenberg-Universität, 55128 Mainz, Germany
| | | | | | | | | | - Daniel Horn-Ghetko
- Department of Molecular Machines and Signaling, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Justus F Gräf
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany; Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Ivan Mikicic
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
| | | | - Anna Orekhova
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
| | | | | | | | - Nils Krapoth
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
| | | | - Athanasia Mizi
- Institute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Yajie Zhu
- Institute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Jia-Xuan Chen
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
| | - Chunaram Choudhary
- Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Argyris Papantonis
- Institute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Helle D Ulrich
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
| | - Brenda A Schulman
- Department of Molecular Machines and Signaling, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Julian König
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany
| | - Petra Beli
- Institute of Molecular Biology (IMB), 55128 Mainz, Germany; Institute of Developmental Biology and Neurobiology (IDN), Johannes Gutenberg-Universität, 55128 Mainz, Germany.
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31
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Lin D, Dong X, Xiao X, Xiang Z, Lei X, Wang J. Proteomic and phosphoproteomic analysis of responses to enterovirus A71 infection reveals novel targets for antiviral and viral replication. Antiviral Res 2023; 220:105761. [PMID: 37992763 DOI: 10.1016/j.antiviral.2023.105761] [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: 09/21/2023] [Revised: 11/06/2023] [Accepted: 11/17/2023] [Indexed: 11/24/2023]
Abstract
Hand, foot, and mouth disease (HFMD) is a common infectious disease in infants and children, especially those under five years of age. EV-A71 is a common pathogen that causes HFMD and the primary pathogen leading to severe or fatal HFMD, which is characterized by neurological complications. However, the underlying mechanisms of EV-A71 pathogenesis remain largely unknown. In this report, we used proteomic and phosphorylated proteomic methods to characterize the proteome and phosphoproteome profiles of EV-A71-infected human neuroblastoma SK-N-SH cells. More than 7744 host proteins and 10069 phosphorylation modification sites were successfully quantified. Among them, 974 proteins and 3648 phosphorylation modification sites were regulated significantly during EV-A71 infection. KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis revealed that EV-A71 altered cell biological processes, including protein synthesis, RNA splicing and metabolism in SK-N-SH cells. Notably, based on the prediction of upregulated kinases during EV-A71 infection, we identified specific kinase inhibitors approved by the FDA, with ceralasertib, bosutinib, flavin mononucleotide, minocycline, pimasertib and acetylcysteine inhibiting EV-A71 infection. Finally, EV-A71 proteins were found to be phosphorylated during infection, with one site (S184 on 3D polymerase) observed to be crucial for viral replication because a S184A mutation knocked out viral replication. The results improve our understanding of the host response to EV-A71 infection of neuroblastoma cells and provide potential targets for developing anti-EV-A71 strategies.
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Affiliation(s)
- Dandan Lin
- NHC Key Laboratory of System Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, PR China
| | - Xiaojing Dong
- NHC Key Laboratory of System Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, PR China
| | - Xia Xiao
- NHC Key Laboratory of System Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, PR China
| | - Zichun Xiang
- NHC Key Laboratory of System Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, PR China; State Key Laboratory of Respiratory Health and Multimorbidity, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China
| | - Xiaobo Lei
- NHC Key Laboratory of System Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, PR China; State Key Laboratory of Respiratory Health and Multimorbidity, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, PR China.
| | - Jianwei Wang
- NHC Key Laboratory of System Biology of Pathogens and Christophe Mérieux Laboratory, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, PR China.
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32
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Claridge B, Rai A, Lees JG, Fang H, Lim SY, Greening DW. Cardiomyocyte intercellular signalling increases oxidative stress and reprograms the global- and phospho-proteome of cardiac fibroblasts. JOURNAL OF EXTRACELLULAR BIOLOGY 2023; 2:e125. [PMID: 38938901 PMCID: PMC11080892 DOI: 10.1002/jex2.125] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/20/2023] [Accepted: 11/14/2023] [Indexed: 06/29/2024]
Abstract
Pathological reprogramming of cardiomyocyte and fibroblast proteome landscapes drive the initiation and progression of cardiac fibrosis. Although the secretome of dysfunctional cardiomyocytes is emerging as an important driver of pathological fibroblast reprogramming, our understanding of the downstream molecular players remains limited. Here, we show that cardiac fibroblast activation (αSMA+) and oxidative stress mediated by the secretome of TGFβ-stimulated cardiomyocytes is associated with a profound reprogramming of their proteome and phosphoproteome landscape. Within the fibroblast global proteome there was a striking dysregulation of proteins implicated in extracellular matrix, protein localisation/metabolism, KEAP1-NFE2L2 pathway, lysosomes, carbohydrate metabolism, and transcriptional regulation. Kinase substrate enrichment analysis of phosphopeptides revealed potential role of kinases (CK2, CDK2, PKC, GSK3B) during this remodelling. We verified upregulated activity of casein kinase 2 (CK2) in secretome-treated fibroblasts, and pharmacological CK2 inhibitor TBB (4,5,6,7-Tetrabromobenzotriazole) significantly abrogated fibroblast activation and oxidative stress. Our data provides molecular insights into cardiomyocyte to cardiac fibroblast crosstalk, and the potential role of CK2 in regulating cardiac fibroblast activation and oxidative stress.
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Affiliation(s)
- Bethany Claridge
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
- Baker Department of Cardiovascular Research Translation and ImplementationLa Trobe UniversityMelbourneVictoriaAustralia
- Department of Biochemistry and Chemistry, School of Agriculture, Biomedicine and EnvironmentLa Trobe UniversityMelbourneVictoriaAustralia
| | - Alin Rai
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
- Baker Department of Cardiovascular Research Translation and ImplementationLa Trobe UniversityMelbourneVictoriaAustralia
- Baker Department of Cardiometabolic HealthUniversity of MelbourneMelbourneVictoriaAustralia
- Central Clinical SchoolMonash UniversityMelbourneVictoriaAustralia
| | - Jarmon G. Lees
- O'Brien Institute DepartmentSt Vincent's Institute of Medical ResearchFitzroyVictoriaAustralia
- Department of Surgery and MedicineUniversity of MelbourneMelbourneVictoriaAustralia
| | - Haoyun Fang
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
- Baker Department of Cardiometabolic HealthUniversity of MelbourneMelbourneVictoriaAustralia
| | - Shiang Y. Lim
- O'Brien Institute DepartmentSt Vincent's Institute of Medical ResearchFitzroyVictoriaAustralia
- Department of Surgery and MedicineUniversity of MelbourneMelbourneVictoriaAustralia
- National Heart Research Institute SingaporeNational Heart CentreSingaporeSingapore
- Drug Discovery Biology, Faculty of Pharmacy and Pharmaceutical SciencesMonash UniversityMelbourneVictoriaAustralia
| | - David W. Greening
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
- Baker Department of Cardiovascular Research Translation and ImplementationLa Trobe UniversityMelbourneVictoriaAustralia
- Department of Biochemistry and Chemistry, School of Agriculture, Biomedicine and EnvironmentLa Trobe UniversityMelbourneVictoriaAustralia
- Baker Department of Cardiometabolic HealthUniversity of MelbourneMelbourneVictoriaAustralia
- Central Clinical SchoolMonash UniversityMelbourneVictoriaAustralia
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33
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Liu M, Zhai L, Yang Z, Li S, Liu T, Chen A, Wang L, Li Y, Li R, Li C, Tan M, Chen Z, Qian J. Integrative Proteomic Analysis Reveals the Cytoskeleton Regulation and Mitophagy Difference Between Ischemic Cardiomyopathy and Dilated Cardiomyopathy. Mol Cell Proteomics 2023; 22:100667. [PMID: 37852321 PMCID: PMC10684391 DOI: 10.1016/j.mcpro.2023.100667] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/21/2023] [Accepted: 10/14/2023] [Indexed: 10/20/2023] Open
Abstract
Ischemic cardiomyopathy (ICM) and dilated cardiomyopathy (DCM) are the two primary etiologies of end-stage heart failure. However, there remains a dearth of comprehensive understanding the global perspective and the dynamics of the proteome and phosphoproteome in ICM and DCM, which hinders the profound comprehension of pivotal biological characteristics as well as differences in signal transduction activation mechanisms between these two major types of heart failure. We conducted high-throughput quantification proteomics and phosphoproteomics analysis of clinical heart tissues with ICM or DCM, which provided us the system-wide molecular insights into pathogenesis of clinical heart failure in both ICM and DCM. Both protein and phosphorylation expression levels exhibit distinct separation between heart failure and normal control heart tissues, highlighting the prominent characteristics of ICM and DCM. By integrating with omics results, Western blots, phosphosite-specific mutation, chemical intervention, and immunofluorescence validation, we found a significant activation of the PRKACA-GSK3β signaling pathway in ICM. This signaling pathway influenced remolding of the microtubule network and regulated the critical actin filaments in cardiac construction. Additionally, DCM exhibited significantly elevated mitochondria energy supply injury compared to ICM, which induced the ROCK1-vimentin signaling pathway activation and promoted mitophagy. Our study not only delineated the major distinguishing features between ICM and DCM but also revealed the crucial discrepancy in the mechanisms between ICM and DCM. This study facilitates a more profound comprehension of pathophysiologic heterogeneity between ICM and DCM and provides a novel perspective to assist in the discovery of potential therapeutic targets for different types of heart failure.
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Affiliation(s)
- Muyin Liu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China; State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Linhui Zhai
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China; Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhaohua Yang
- Department of Cardiac Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Su Li
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Tianxian Liu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Ao Chen
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Lulu Wang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Youran Li
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Ruidong Li
- College of Pharmacy, Jiangsu Ocean University, Lianyungang, Jiangsu, China
| | - Chenguang Li
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China; Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, China; Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhangwei Chen
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China.
| | - Juying Qian
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Institute of Cardiovascular Diseases, Shanghai, China; National Clinical Research Center for Interventional Medicine, Shanghai, China.
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34
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Frederick MI, Hovey OFJ, Kakadia JH, Shepherd TG, Li SSC, Heinemann IU. Proteomic and Phosphoproteomic Reprogramming in Epithelial Ovarian Cancer Metastasis. Mol Cell Proteomics 2023; 22:100660. [PMID: 37820923 PMCID: PMC10652129 DOI: 10.1016/j.mcpro.2023.100660] [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: 06/23/2023] [Revised: 09/30/2023] [Accepted: 10/05/2023] [Indexed: 10/13/2023] Open
Abstract
Epithelial ovarian cancer (EOC) is a high-risk cancer presenting with heterogeneous tumors. The high incidence of EOC metastasis from primary tumors to nearby tissues and organs is a major driver of EOC lethality. We used cellular models of spheroid formation and readherence to investigate cellular signaling dynamics in each step toward EOC metastasis. In our system, adherent cells model primary tumors, spheroid formation represents the initiation of metastatic spread, and readherent spheroid cells represent secondary tumors. Proteomic and phosphoproteomic analyses show that spheroid cells are hypoxic and show markers for cell cycle arrest. Aurora kinase B abundance and downstream substrate phosphorylation are significantly reduced in spheroids and readherent cells, explaining their cell cycle arrest phenotype. The proteome of readherent cells is most similar to spheroids, yet greater changes in the phosphoproteome show that spheroid cells stimulate Rho-associated kinase 1 (ROCK1)-mediated signaling, which controls cytoskeletal organization. In spheroids, we found significant phosphorylation of ROCK1 substrates that were reduced in both adherent and readherent cells. Application of the ROCK1-specific inhibitor Y-27632 to spheroids increased the rate of readherence and altered spheroid density. The data suggest ROCK1 inhibition increases EOC metastatic potential. We identified novel pathways controlled by Aurora kinase B and ROCK1 as major drivers of metastatic behavior in EOC cells. Our data show that phosphoproteomic reprogramming precedes proteomic changes that characterize spheroid readherence in EOC metastasis.
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Affiliation(s)
- Mallory I Frederick
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Owen F J Hovey
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Jenica H Kakadia
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Trevor G Shepherd
- Department of Obstetrics & Gynaecology, Western University, London, Ontario, Canada; London Regional Cancer Program, London Health Sciences Centre, London, Ontario, Canada
| | - Shawn S C Li
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
| | - Ilka U Heinemann
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
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35
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Iyer SR, Nusser K, Jones K, Shinde P, Keddy C, Beach CZ, Aguero E, Force J, Shinde U, Davare MA. Discovery of oncogenic ROS1 missense mutations with sensitivity to tyrosine kinase inhibitors. EMBO Mol Med 2023; 15:e17367. [PMID: 37587872 PMCID: PMC10565643 DOI: 10.15252/emmm.202217367] [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: 12/27/2022] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/18/2023] Open
Abstract
ROS1 is the largest receptor tyrosine kinase in the human genome. Rearrangements of the ROS1 gene result in oncogenic ROS1 kinase fusion proteins that are currently the only validated biomarkers for targeted therapy with ROS1 TKIs in patients. While numerous somatic missense mutations in ROS1 exist in the cancer genome, their impact on catalytic activity and pathogenic potential is unknown. We interrogated the AACR Genie database and identified 34 missense mutations in the ROS1 tyrosine kinase domain for further analysis. Our experiments revealed that these mutations have varying effects on ROS1 kinase function, ranging from complete loss to significantly increased catalytic activity. Notably, Asn and Gly substitutions at Asp2113 in the ROS1 kinase domain were found to be TKI-sensitive oncogenic variants in cell-based model systems. In vivo experiments showed that ROS1 D2113N induced tumor formation that was sensitive to crizotinib and lorlatinib, FDA-approved ROS1-TKIs. Collectively, these findings highlight the tumorigenic potential of specific point mutations within the ROS1 kinase domain and their potential as therapeutic targets with FDA-approved ROS1-TKIs.
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Affiliation(s)
- Sudarshan R Iyer
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Papé Family Pediatric Research InstituteOregon Health and Sciences UniversityORPortlandUSA
| | - Kevin Nusser
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Papé Family Pediatric Research InstituteOregon Health and Sciences UniversityORPortlandUSA
| | - Kristen Jones
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Papé Family Pediatric Research InstituteOregon Health and Sciences UniversityORPortlandUSA
| | - Pushkar Shinde
- Department of Chemical PhysiologyOregon Health and Sciences UniversityORPortlandUSA
| | - Clare Keddy
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Papé Family Pediatric Research InstituteOregon Health and Sciences UniversityORPortlandUSA
| | - Catherine Z Beach
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Papé Family Pediatric Research InstituteOregon Health and Sciences UniversityORPortlandUSA
| | - Erin Aguero
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Papé Family Pediatric Research InstituteOregon Health and Sciences UniversityORPortlandUSA
| | - Jeremy Force
- Department of Medicine, Division of Medical Oncology, Duke Cancer InstituteDuke UniversityNCDurhamUSA
| | - Ujwal Shinde
- Department of Chemical PhysiologyOregon Health and Sciences UniversityORPortlandUSA
| | - Monika A Davare
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Papé Family Pediatric Research InstituteOregon Health and Sciences UniversityORPortlandUSA
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Yan L, Fang YX, Lu EQ, Xu E, Zhang YY, Chen X, Zhu M. Extracellular Glutamine Promotes Intestinal Porcine Epithelial Cell Proliferation via Arf1-mTORC1 Pathway Independently of Rag GTPases. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:14251-14262. [PMID: 37738360 DOI: 10.1021/acs.jafc.3c00339] [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: 09/24/2023]
Abstract
Glutamine (Gln) is the major energy source of intestinal porcine epithelial cells (IPEC-J2 cells) and plays a critical role in the nutritional physiological function of the intestine. However, the underlying mechanism requires further investigation. Here, the Gln-sensing pathway in IPEC-J2 cells was investigated. The results showed that Gln increased the cell proliferation. Subsequently, an analysis of the phosphorylated proteome revealed that Gln markedly upregulated ribosomal protein S6 (RPS6) phosphorylation at serine 235/236, suggesting that Gln activated the mTORC1 pathway. mTOR inhibition revealed that Gln promotes cell proliferation through the mTORC1 pathway. Similarly, blocking ADP-ribosylation factor 1 (Arf1) activity indicated that Gln-induced mTORC1 activation promoted cell proliferation in an Arf1-dependent manner. Additionally, the RagA/B pathway did not participate in Gln-induced mTORC1 activation. Collectively, these findings suggest that Gln-induced mTORC1 activation promotes IPEC-J2 cell proliferation via Arf1, not Rag GTPases. These results broaden our understanding of functional-cell-sensing amino acids, particularly Gln, that are regulated by mTORC1.
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Affiliation(s)
- Ling Yan
- Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025, Guizhou Province China
- Institute of Animal Nutrition and Feed Science, Guizhou University, Guiyang 550025, China
| | - Yong-Xia Fang
- Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025, Guizhou Province China
- Institute of Animal Nutrition and Feed Science, Guizhou University, Guiyang 550025, China
| | - En-Qing Lu
- Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025, Guizhou Province China
- Institute of Animal Nutrition and Feed Science, Guizhou University, Guiyang 550025, China
| | - E Xu
- Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025, Guizhou Province China
- Institute of Animal Nutrition and Feed Science, Guizhou University, Guiyang 550025, China
| | - Yi-Yu Zhang
- Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025, Guizhou Province China
| | - Xiang Chen
- Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025, Guizhou Province China
| | - Min Zhu
- Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025, Guizhou Province China
- Institute of Animal Nutrition and Feed Science, Guizhou University, Guiyang 550025, China
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Gowthami N, Pursotham N, Dey G, Ghose V, Sathe G, Pruthi N, Shukla D, Gayathri N, Santhoshkumar R, Padmanabhan B, Chandramohan V, Mahadevan A, Srinivas Bharath MM. Neuroanatomical zones of human traumatic brain injury reveal significant differences in protein profile and protein oxidation: Implications for secondary injury events. J Neurochem 2023; 167:218-247. [PMID: 37694499 DOI: 10.1111/jnc.15953] [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: 06/03/2023] [Revised: 08/03/2023] [Accepted: 08/07/2023] [Indexed: 09/12/2023]
Abstract
Traumatic brain injury (TBI) causes significant neurological deficits and long-term degenerative changes. Primary injury in TBI entails distinct neuroanatomical zones, i.e., contusion (Ct) and pericontusion (PC). Their dynamic expansion could contribute to unpredictable neurological deterioration in patients. Molecular characterization of these zones compared with away from contusion (AC) zone is invaluable for TBI management. Using proteomics-based approach, we were able to distinguish Ct, PC and AC zones in human TBI brains. Ct was associated with structural changes (blood-brain barrier (BBB) disruption, neuroinflammation, axonal injury, demyelination and ferroptosis), while PC was associated with initial events of secondary injury (glutamate excitotoxicity, glial activation, accumulation of cytoskeleton proteins, oxidative stress, endocytosis) and AC displayed mitochondrial dysfunction that could contribute to secondary injury events and trigger long-term degenerative changes. Phosphoproteome analysis in these zones revealed that certain differentially phosphorylated proteins synergistically contribute to the injury events along with the differentially expressed proteins. Non-synaptic mitochondria (ns-mito) was associated with relatively more differentially expressed proteins (DEPs) compared to synaptosomes (Syn), while the latter displayed increased protein oxidation including tryptophan (Trp) oxidation. Proteomic analysis of immunocaptured complex I (CI) from Syn revealed increased Trp oxidation in Ct > PC > AC (vs. control). Oxidized W272 in the ND1 subunit of CI, revealed local conformational changes in ND1 and the neighboring subunits, as indicated by molecular dynamics simulation (MDS). Taken together, neuroanatomical zones in TBI show distinct protein profile and protein oxidation representing different primary and secondary injury events with potential implications for TBI pathology and neurological status of the patients.
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Affiliation(s)
- Niya Gowthami
- Department of Clinical Psychopharmacology and Neurotoxicology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Nithya Pursotham
- Department of Clinical Psychopharmacology and Neurotoxicology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Gourav Dey
- Proteomics and Bioinformatics Laboratory, Neurobiology Research Center, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
- Institute of Bioinformatics, Bengaluru, India
| | - Vivek Ghose
- Proteomics and Bioinformatics Laboratory, Neurobiology Research Center, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
- Institute of Bioinformatics, Bengaluru, India
| | - Gajanan Sathe
- Proteomics and Bioinformatics Laboratory, Neurobiology Research Center, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
- Institute of Bioinformatics, Bengaluru, India
| | - Nupur Pruthi
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Dhaval Shukla
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Narayanappa Gayathri
- Department of Neuropathology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Rashmi Santhoshkumar
- Department of Neuropathology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Balasundaram Padmanabhan
- Department of Biophysics, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - Vivek Chandramohan
- Department of Biotechnology, Siddaganga Institute of Technology (SIT), Tumakuru, India
| | - Anita Mahadevan
- Department of Neuropathology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
| | - M M Srinivas Bharath
- Department of Clinical Psychopharmacology and Neurotoxicology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
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De Jesus DF, Kimura T, Gupta MK, Kulkarni RN. NREP contributes to development of NAFLD by regulating one-carbon metabolism in primary human hepatocytes. Cell Chem Biol 2023; 30:1144-1155.e4. [PMID: 37354909 PMCID: PMC10529627 DOI: 10.1016/j.chembiol.2023.06.001] [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: 02/07/2022] [Revised: 03/06/2023] [Accepted: 06/01/2023] [Indexed: 06/26/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease. We recently discovered that neuronal regeneration-related protein (NREP/P311), an epigenetically regulated gene reprogrammed by parental metabolic syndrome, is downregulated in human NAFLD. To investigate the impact of NREP insufficiency, we used RNA-sequencing, lipidomics, and antibody microarrays on primary human hepatocytes. NREP knockdown induced transcriptomic remodeling that overlapped with key pathways impacted in human steatosis and steatohepatitis. Additionally, we observed enrichment of pathways involving phosphatidylinositol signaling and one-carbon metabolism. Lipidomics analyses also revealed an increase in cholesterol esters and triglycerides and decreased phosphatidylcholine levels in NREP-deficient hepatocytes. Signalomics identified calcium signaling as a potential mediator of NREP insufficiency's effects. Our results, together with the encouraging observation that several single nucleotide polymorphisms (SNPs) spanning the NREP locus are associated with metabolic traits, provide a strong rationale for targeting hepatic NREP to improve NAFLD pathophysiology.
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Affiliation(s)
- Dario F De Jesus
- Islet Cell and Regenerative Biology, Joslin Diabetes Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Stem Cell Institute, and Harvard Medical School, Boston, MA, USA
| | - Tomohiko Kimura
- Islet Cell and Regenerative Biology, Joslin Diabetes Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Stem Cell Institute, and Harvard Medical School, Boston, MA, USA
| | - Manoj K Gupta
- Islet Cell and Regenerative Biology, Joslin Diabetes Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Stem Cell Institute, and Harvard Medical School, Boston, MA, USA
| | - Rohit N Kulkarni
- Islet Cell and Regenerative Biology, Joslin Diabetes Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Stem Cell Institute, and Harvard Medical School, Boston, MA, USA.
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Zhang H, Steele JR, Kahrood HV, Lucas DD, Shah AD, Schittenhelm RB. Phospho-Analyst: An Interactive, Easy-to-Use Web Platform To Analyze Quantitative Phosphoproteomics Data. J Proteome Res 2023; 22:2890-2899. [PMID: 37584946 DOI: 10.1021/acs.jproteome.3c00186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
Phosphoproteomics is nowadays the method of choice to comprehensively identify and quantify thousands of phosphorylated peptides and their associated proteins with the goal of interrogating changes in signal transduction pathways and other cellular processes. One of the most popular software suites to analyze phosphoproteomic data sets is MaxQuant, which converts mass spectrometric raw data into quantitative information on phosphopeptides and proteins. However, despite the increased utilization of phosphoproteomics in biomedical research, simple and user-friendly tools supporting downstream statistical analysis and interpretation of these highly complex outputs are still lacking. We have therefore developed Phospho-Analyst, which─similar to its sibling LFQ-Analyst─is an easy-to-use, interactive web application specifically designed to reproducibly perform differential expression analyses with "one click" and to visualize phosphoproteomic results in a meaningful and practical manner. Furthermore, if quantitative total proteomic information is available for the same samples, Phospho-Analyst automatically normalizes all phosphoproteomic results to underlying protein abundance levels, thereby ensuring that only genuine changes in phosphorylation events are considered. As such, Phospho-Analyst can not only be used by experienced proteomic veterans but also by researchers without any prior knowledge in (phospho)proteomics, statistics, or bioinformatics. Phospho-Analyst, including a detailed manual, is freely available at https://analyst-suites.org/apps/phospho-analyst/.
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Affiliation(s)
- Haijian Zhang
- Monash Proteomics & Metabolomics Platform, Monash Biomedicine Discovery Institute & Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - Joel R Steele
- Monash Proteomics & Metabolomics Platform, Monash Biomedicine Discovery Institute & Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - Hossein Valipour Kahrood
- Monash Proteomics & Metabolomics Platform, Monash Biomedicine Discovery Institute & Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
- Monash Genomics & Bioinformatics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia
| | - Deanna Deveson Lucas
- Monash Genomics & Bioinformatics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia
| | - Anup D Shah
- Monash Proteomics & Metabolomics Platform, Monash Biomedicine Discovery Institute & Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
- Monash Genomics & Bioinformatics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia
| | - Ralf B Schittenhelm
- Monash Proteomics & Metabolomics Platform, Monash Biomedicine Discovery Institute & Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
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40
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Lefebvre C, Pellizzari S, Bhat V, Jurcic K, Litchfield DW, Allan AL. Involvement of the AKT Pathway in Resistance to Erlotinib and Cabozantinib in Triple-Negative Breast Cancer Cell Lines. Biomedicines 2023; 11:2406. [PMID: 37760847 PMCID: PMC10525382 DOI: 10.3390/biomedicines11092406] [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: 06/29/2023] [Revised: 08/14/2023] [Accepted: 08/26/2023] [Indexed: 09/29/2023] Open
Abstract
Resistance to protein tyrosine kinase inhibitors (TKIs) presents a significant challenge in therapeutic target development for cancers such as triple-negative breast cancer (TNBC), where conventional therapies are ineffective at combatting systemic disease. Due to increased expression, the receptor tyrosine kinases EGFR (epidermal growth factor receptor) and c-Met are potential targets for treatment. However, targeted anti-EGFR and anti-c-Met therapies have faced mixed results in clinical trials due to acquired resistance. We hypothesize that adaptive responses in regulatory kinase networks within the EGFR and c-Met signaling axes contribute to the development of acquired erlotinib and cabozantinib resistance. To test this, we developed two separate models for cabozantinib and erlotinib resistance using the MDA-MB-231 and MDA-MB-468 cell lines, respectively. We observed that erlotinib- or cabozantinib-resistant cell lines demonstrate enhanced cell proliferation, migration, invasion, and activation of EGFR or c-Met downstream signaling (respectively). Using a SILAC (Stable Isotope Labeling of Amino acids in Cell Culture)-labeled quantitative mass spectrometry proteomics approach, we assessed the effects of erlotinib or cabozantinib resistance on the phosphoproteome, proteome, and kinome. Using this integrated proteomics approach, we identified several potential kinase mediators of cabozantinib resistance and confirmed the contribution of AKT1 to erlotinib resistance in TNBC-resistant cell lines.
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Affiliation(s)
- Cory Lefebvre
- London Regional Cancer Program, London Health Sciences Centre, London, ON N6A 5W9, Canada; (C.L.); (S.P.); (V.B.)
- Department of Anatomy & Cell Biology, Western University, London, ON N6A 3K7, Canada
| | - Sierra Pellizzari
- London Regional Cancer Program, London Health Sciences Centre, London, ON N6A 5W9, Canada; (C.L.); (S.P.); (V.B.)
- Department of Anatomy & Cell Biology, Western University, London, ON N6A 3K7, Canada
| | - Vasudeva Bhat
- London Regional Cancer Program, London Health Sciences Centre, London, ON N6A 5W9, Canada; (C.L.); (S.P.); (V.B.)
- Department of Anatomy & Cell Biology, Western University, London, ON N6A 3K7, Canada
| | - Kristina Jurcic
- Department of Biochemistry, Western University, London, ON N6A 3K7, Canada; (K.J.); (D.W.L.)
| | - David W. Litchfield
- Department of Biochemistry, Western University, London, ON N6A 3K7, Canada; (K.J.); (D.W.L.)
- Department of Oncology, Western University, London, ON N6A 3K7, Canada
| | - Alison L. Allan
- London Regional Cancer Program, London Health Sciences Centre, London, ON N6A 5W9, Canada; (C.L.); (S.P.); (V.B.)
- Department of Anatomy & Cell Biology, Western University, London, ON N6A 3K7, Canada
- Department of Oncology, Western University, London, ON N6A 3K7, Canada
- Lawson Health Research Institute, London, ON N6A 5W9, Canada
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Gritsina G, Fong KW, Lu X, Lin Z, Xie W, Agarwal S, Lin D, Schiltz GE, Beltran H, Corey E, Morrissey C, Wang Y, Zhao JC, Hussain M, Yu J. Chemokine receptor CXCR7 activates Aurora Kinase A and promotes neuroendocrine prostate cancer growth. J Clin Invest 2023; 133:e166248. [PMID: 37347559 PMCID: PMC10378179 DOI: 10.1172/jci166248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 06/15/2023] [Indexed: 06/24/2023] Open
Abstract
CXCR7 is an atypical chemokine receptor that recruits β-arrestin (ARRB2) and internalizes into clathrin-coated intracellular vesicles where the complex acts as a scaffold for cytoplasmic kinase assembly and signal transduction. Here, we report that CXCR7 was elevated in the majority of prostate cancer (PCa) cases with neuroendocrine features (NEPC). CXCR7 markedly induced mitotic spindle and cell cycle gene expression. Mechanistically, we identified Aurora Kinase A (AURKA), a key regulator of mitosis, as a novel target that was bound and activated by the CXCR7-ARRB2 complex. CXCR7 interacted with proteins associated with microtubules and golgi, and, as such, the CXCR7-ARRB2-containing vesicles trafficked along the microtubules to the pericentrosomal golgi apparatus, where the complex interacted with AURKA. Accordingly, CXCR7 promoted PCa cell proliferation and tumor growth, which was mitigated by AURKA inhibition. In summary, our study reveals a critical role of CXCR7-ARRB2 in interacting and activating AURKA, which can be targeted by AURKA inhibitors to benefit a subset of patients with NEPC.
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Affiliation(s)
- Galina Gritsina
- Division of Hematology/Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Ka-wing Fong
- Division of Hematology/Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, Kentucky, USA
| | - Xiaodong Lu
- Division of Hematology/Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Urology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Zhuoyuan Lin
- Division of Hematology/Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Urology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wanqing Xie
- Division of Hematology/Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Urology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Shivani Agarwal
- Division of Hematology/Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Dong Lin
- Department of Experimental Therapeutics, BC Cancer Agency, Vancouver, British Columbia, Canada
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Gary E. Schiltz
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Chemistry, Northwestern University, Evanston, Illinois, USA
| | - Himisha Beltran
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Eva Corey
- Department of Urology, University of Washington, Seattle, Washington, USA
| | - Colm Morrissey
- Department of Urology, University of Washington, Seattle, Washington, USA
| | - Yuzhuo Wang
- Department of Experimental Therapeutics, BC Cancer Agency, Vancouver, British Columbia, Canada
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jonathan C. Zhao
- Division of Hematology/Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Urology, Emory University School of Medicine, Atlanta, Georgia, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Human Genetics and
- Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Maha Hussain
- Division of Hematology/Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jindan Yu
- Division of Hematology/Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Urology, Emory University School of Medicine, Atlanta, Georgia, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Human Genetics and
- Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Biochemistry and Molecular Genetics, Northwestern University, Chicago, Illinois, USA
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Xiao J, El Eid L, Buenaventura T, Boutry R, Bonnefond A, Jones B, Rutter GA, Froguel P, Tomas A. Control of human pancreatic beta cell kinome by glucagon-like peptide-1 receptor biased agonism. Diabetes Obes Metab 2023; 25:2105-2119. [PMID: 37039251 PMCID: PMC10947446 DOI: 10.1111/dom.15083] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 04/03/2023] [Accepted: 04/03/2023] [Indexed: 04/12/2023]
Abstract
AIM To determine the kinase activity profiles of human pancreatic beta cells downstream of glucagon-like peptide-1 receptor (GLP-1R) balanced versus biased agonist stimulations. MATERIALS AND METHODS This study analysed the kinomic profiles of human EndoC-βh1 cells following vehicle and GLP-1R stimulation with the pharmacological agonist exendin-4, as well as exendin-4-based biased derivatives exendin-phe1 and exendin-asp3 for acute (10-minute) versus sustained (120-minute) responses, using PamChip protein tyrosine kinase and serine/threonine kinase assays. The raw data were filtered and normalized using BioNavigator. The kinase analyses were conducted with R, mainly including kinase-substrate mapping and Kyoto Encyclopedia of Genes and Genomes pathway analysis. RESULTS The present analysis reveals that kinomic responses are distinct for acute versus sustained GLP-1R agonist exposure, with individual responses associated with agonists presenting specific bias profiles. According to pathway analysis, several kinases, including JNKs, PKCs, INSR and LKB1, are important GLP-1R signalling mediators, constituting potential targets for further research on biased GLP-1R downstream signalling. CONCLUSION The results from this study suggest that differentially biased exendin-phe1 and exendin-asp3 can modulate distinct kinase interaction networks. Further understanding of these mechanisms will have important implications for the selection of appropriate anti-type 2 diabetes therapies with optimized downstream kinomic profiles.
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Affiliation(s)
- Jiannan Xiao
- Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Liliane El Eid
- Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Teresa Buenaventura
- Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Raphaël Boutry
- INSERM/CNRS UMR 1283/8199-EGID, Institut Pasteur de Lille, CHU de Lille, Lille, France
| | - Amélie Bonnefond
- INSERM/CNRS UMR 1283/8199-EGID, Institut Pasteur de Lille, CHU de Lille, Lille, France
| | - Ben Jones
- Section of Endocrinology and Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Guy A Rutter
- Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Centre de Recherche du CHUM, University of Montreal, Montreal, Canada
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Philippe Froguel
- INSERM/CNRS UMR 1283/8199-EGID, Institut Pasteur de Lille, CHU de Lille, Lille, France
- Section of Genetics and Genomics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Alejandra Tomas
- Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
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Cheng A, Xu T, You W, Wang T, Zhang D, Guo H, Zhang H, Pan X, Wang Y, Liu L, Zhang K, Shi J, Yao X, Guo J, Yang Z. A mitotic NADPH upsurge promotes chromosome segregation and tumour progression in aneuploid cancer cells. Nat Metab 2023; 5:1141-1158. [PMID: 37349486 DOI: 10.1038/s42255-023-00832-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 05/26/2023] [Indexed: 06/24/2023]
Abstract
Redox metabolites have been observed to fluctuate through the cell cycle in cancer cells, but the functional impacts of such metabolic oscillations remain unknown. Here, we uncover a mitosis-specific nicotinamide adenine dinucleotide phosphate (NADPH) upsurge that is essential for tumour progression. Specifically, NADPH is produced by glucose 6-phosphate dehydrogenase (G6PD) upon mitotic entry, which neutralizes elevated reactive oxygen species (ROS) and prevents ROS-mediated inactivation of mitotic kinases and chromosome missegregation. Mitotic activation of G6PD depends on the phosphorylation of its co-chaperone protein BAG3 at threonine 285, which results in dissociation of inhibitory BAG3. Blocking BAG3T285 phosphorylation induces tumour suppression. A mitotic NADPH upsurge is present in aneuploid cancer cells with high levels of ROS, while nearly unobservable in near-diploid cancer cells. High BAG3T285 phosphorylation is associated with worse prognosis in a cohort of patients with microsatellite-stable colorectal cancer. Our study reveals that aneuploid cancer cells with high levels of ROS depend on a G6PD-mediated NADPH upsurge in mitosis to protect them from ROS-induced chromosome missegregation.
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Affiliation(s)
- Aoxing Cheng
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Department of Digestive Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Tian Xu
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Weiyi You
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Ting Wang
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Dongming Zhang
- The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Huimin Guo
- Center for Biological Technology, Anhui Agricultural University, Hefei, China
| | - Haiyan Zhang
- Core Facility Centre for Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Xin Pan
- National Center of Biomedical Analysis of China, Beijing, China
| | - Yucai Wang
- The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Liu Liu
- Department of General Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Kaiguang Zhang
- Department of Digestive Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Jue Shi
- Center for Quantitative Systems Biology, Department of Physics and Department of Biology, Hong Kong Baptist University, Hong Kong, China
| | - Xuebiao Yao
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Jing Guo
- Department of Digestive Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
| | - Zhenye Yang
- MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
- Department of Digestive Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
- The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
- Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
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Wang J, Zhu X, Wang S, Zhang Y, Hua W, Liu Z, Zheng Y, Lu X. Phosphoproteomic and proteomic profiling in post-infarction chronic heart failure. Front Pharmacol 2023; 14:1181622. [PMID: 37405054 PMCID: PMC10315476 DOI: 10.3389/fphar.2023.1181622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 06/05/2023] [Indexed: 07/06/2023] Open
Abstract
Background: Post-infarction chronic heart failure is the most common type of heart failure. Patients with chronic heart failure show elevated morbidity and mortality with limited evidence-based therapies. Phosphoproteomic and proteomic analysis can provide insights regarding molecular mechanisms underlying post-infarction chronic heart failure and explore new therapeutic approaches. Methods and results: Global quantitative phosphoproteomic and proteomic analysis of left ventricular tissues from post-infarction chronic heart failure rats were performed. A total of 33 differentially expressed phosphorylated proteins (DPPs) and 129 differentially expressed proteins were identified. Bioinformatic analysis indicated that DPPs were enriched mostly in nucleocytoplasmic transport and mRNA surveillance pathway. Bclaf1 Ser658 was identified after construction of Protein-Protein Interaction Network and intersection with Thanatos Apoptosis Database. Predicted Upstream Kinases of DPPs based on kinase-substrate enrichment analysis (KSEA) app showed 13 kinases enhanced in heart failure. Proteomic analysis showed marked changes in protein expression related to cardiac contractility and metabolism. Conclusion: The present study marked phosphoproteomics and proteomics changes in post-infarction chronic heart failure. Bclaf1 Ser658 might play a critical role in apoptosis in heart failure. PRKAA1, PRKACA, and PAK1 might serve as potential therapeutic targets for post-infarction chronic heart failure.
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Affiliation(s)
| | | | | | | | | | | | - Yu Zheng
- *Correspondence: Yu Zheng, ; Xiao Lu,
| | - Xiao Lu
- *Correspondence: Yu Zheng, ; Xiao Lu,
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Li X, Huang Y, Zheng K, Yu G, Wang Q, Gu L, Li J, Wang H, Zhang W, Sun Y, Li C. Integrated proteomic and phosphoproteomic data-independent acquisition data evaluate the personalized drug responses of primary and metastatic tumors in colorectal cancer. BIOPHYSICS REPORTS 2023; 9:67-81. [PMID: 37753059 PMCID: PMC10518519 DOI: 10.52601/bpr.2022.210048] [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: 12/31/2021] [Accepted: 11/18/2022] [Indexed: 02/19/2023] Open
Abstract
Mass spectrometry (MS)-based proteomics and phosphoproteomics are powerful methods to study the biological mechanisms, diagnostic biomarkers, prognostic analysis, and drug therapy of tumors. Data-independent acquisition (DIA) mode is considered to perform better than data-dependent acquisition (DDA) mode in terms of quantitative reproducibility, specificity, accuracy, and identification of low-abundance proteins. Mini patient derived xenograft (MiniPDX) model is an effective model to assess the response to antineoplastic drugs in vivo and is helpful for the precise treatment of cancer patients. Kinases are favorable spots for tumor-targeted drugs, and their functional completion relies on signaling pathways through phosphorylating downstream substrates. Kinase-phosphorylation networks or edge interactions are considered more credible and permanent for characterizing complex diseases. Here, we provide a workflow for personalized drug response assessment in primary and metastatic colorectal cancer (CRC) tumors using DIA proteomic data, DIA phosphoproteomic data, and MiniPDX models. Three kinase inhibitors, afatinib, gefitinib, and regorafenib, are tested pharmacologically. The process mainly includes the following steps: clinical tissue collection, sample preparation, hybrid spectral libraries establishment, MS data acquisition, kinase-substrate network construction, in vivo drug test, and elastic regression modeling. Our protocol gives a more direct data basis for individual drug responses, and will improve the selection of treatment strategies for patients without the druggable mutation.
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Affiliation(s)
- Xumiao Li
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yiming Huang
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Kuo Zheng
- Colorectal Surgery Department, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Guanyu Yu
- Colorectal Surgery Department, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Qinqin Wang
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Lei Gu
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jingquan Li
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Hui Wang
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Wei Zhang
- Colorectal Surgery Department, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Yidi Sun
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Chen Li
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Radoux-Mergault A, Oberhauser L, Aureli S, Gervasio FL, Stoeber M. Subcellular location defines GPCR signal transduction. SCIENCE ADVANCES 2023; 9:eadf6059. [PMID: 37075112 PMCID: PMC10115417 DOI: 10.1126/sciadv.adf6059] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 03/17/2023] [Indexed: 05/03/2023]
Abstract
Intracellular G protein-coupled receptors (GPCRs) can be activated by permeant ligands, which contributes to agonist selectivity. Opioid receptors (ORs) provide a notable example, where opioid drugs rapidly activate ORs in the Golgi apparatus. Our knowledge on intracellular GPCR function remains incomplete, and it is unknown whether OR signaling in plasma membrane (PM) and Golgi apparatus differs. Here, we assess the recruitment of signal transducers to mu- and delta-ORs in both compartments. We find that Golgi ORs couple to Gαi/o probes and are phosphorylated but, unlike PM receptors, do not recruit β-arrestin or a specific Gα probe. Molecular dynamics simulations with OR-transducer complexes in bilayers mimicking PM or Golgi composition reveal that the lipid environment promotes the location-selective coupling. We then show that delta-ORs in PM and Golgi have distinct effects on transcription and protein phosphorylation. The study reveals that the subcellular location defines the signaling effects of opioid drugs.
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Affiliation(s)
| | - Lucie Oberhauser
- Department of Cell Physiology and Metabolism, University of Geneva, Geneva, Switzerland
| | - Simone Aureli
- Department of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics, University of Geneva, CH-1206, Geneva, Switzerland
| | - Francesco Luigi Gervasio
- Department of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University of Geneva, Geneva, Switzerland
- Swiss Institute of Bioinformatics, University of Geneva, CH-1206, Geneva, Switzerland
- Department of Chemistry, University College London, London WC1E 6BT, UK
| | - Miriam Stoeber
- Department of Cell Physiology and Metabolism, University of Geneva, Geneva, Switzerland
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Franciosa G, Locard-Paulet M, Jensen LJ, Olsen JV. Recent advances in kinase signaling network profiling by mass spectrometry. Curr Opin Chem Biol 2023; 73:102260. [PMID: 36657259 DOI: 10.1016/j.cbpa.2022.102260] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 01/19/2023]
Abstract
Mass spectrometry-based phosphoproteomics is currently the leading methodology for the study of global kinase signaling. The scientific community is continuously releasing technological improvements for sensitive and fast identification of phosphopeptides, and their accurate quantification. To interpret large-scale phosphoproteomics data, numerous bioinformatic resources are available that help understanding kinase network functional role in biological systems upon perturbation. Some of these resources are databases of phosphorylation sites, protein kinases and phosphatases; others are bioinformatic algorithms to infer kinase activity, predict phosphosite functional relevance and visualize kinase signaling networks. In this review, we present the latest experimental and bioinformatic tools to profile protein kinase signaling networks and provide examples of their application in biomedicine.
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Affiliation(s)
- Giulia Franciosa
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marie Locard-Paulet
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lars J Jensen
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jesper V Olsen
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Yang G, Zuo C, Lin Y, Zhou X, Wen P, Zhang C, Xiao H, Jiang M, Fujita M, Gao XD, Fu F. Comprehensive proteome, phosphoproteome and kinome characterization of luminal A breast cancer. Front Oncol 2023; 13:1127446. [PMID: 37064116 PMCID: PMC10102592 DOI: 10.3389/fonc.2023.1127446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/08/2023] [Indexed: 04/03/2023] Open
Abstract
BackgroundBreast cancer is one of the most frequently occurring malignant cancers worldwide. Invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC) are the two most common histological subtypes of breast cancer. In this study, we aimed to deeply explore molecular characteristics and the relationship between IDC and ILC subtypes in luminal A subgroup of breast cancer using comprehensive proteomics and phosphoproteomics analysis.MethodsCancer tissues and noncancerous adjacent tissues (NATs) with the luminal A subtype (ER- and PR-positive, HER2-negative) were obtained from paired IDC and ILC patients respectively. Label-free quantitative proteomics and phosphoproteomics methods were used to detect differential proteins and the phosphorylation status between 10 paired breast cancer and NATs. Then, the difference in protein expression and its phosphorylation between IDC and ILC subtypes were explored. Meanwhile, the activation of kinases and their substrates was also revealed by Kinase-Substrate Enrichment Analysis (KSEA).ResultsIn the luminal A breast cancer, a total of 5,044 high-confidence proteins and 3,808 phosphoproteins were identified from 10 paired tissues. The protein phosphorylation level in ILC tissues was higher than that in IDC tissues. Histone H1.10 was significantly increased in IDC but decreased in ILC, Conversely, complement C4-B and Crk-like protein were significantly decreased in IDC but increased in ILC. Moreover, the increased protein expression of Septin-2, Septin-9, Heterogeneous nuclear ribonucleoprotein A1 and Kinectin but reduce of their phosphorylation could clearly distinguish IDC from ILC. In addition, IDC was primarily related to energy metabolism and MAPK pathway, while ILC was more closely involved in the AMPK and p53/p21 pathways. Furthermore, the kinomes in IDC were primarily significantly activated in the CMGC groups.ConclusionsOur research provides insights into the molecular characterization of IDC and ILC and contributes to discovering novel targets for further drug development and targeted treatment.
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Affiliation(s)
- Ganglong Yang
- The Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China
| | - Chenyang Zuo
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China
| | - Yuxiang Lin
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- Breast Cancer Institute, Fujian Medical University, Fuzhou, Fujian, China
| | - Xiaoman Zhou
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China
| | - Piaopiao Wen
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China
| | - Chairui Zhang
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China
| | - Han Xiao
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Meichen Jiang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Morihisa Fujita
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China
| | - Xiao-Dong Gao
- The Key Laboratory of Carbohydrate Chemistry & Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- *Correspondence: Xiao-Dong Gao, ; Fangmeng Fu,
| | - Fangmeng Fu
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- Breast Cancer Institute, Fujian Medical University, Fuzhou, Fujian, China
- *Correspondence: Xiao-Dong Gao, ; Fangmeng Fu,
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Herold R, Denzer L, Muranyi W, Stump-Guthier C, Ishikawa H, Schroten H, Schwerk C. The phosphoproteome of choroid plexus epithelial cells following infection with Neisseria meningitidis. Front Cell Infect Microbiol 2023; 13:1113528. [PMID: 37065199 PMCID: PMC10102474 DOI: 10.3389/fcimb.2023.1113528] [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: 12/01/2022] [Accepted: 03/03/2023] [Indexed: 04/03/2023] Open
Abstract
The Gram-negative bacterium Neisseria meningitidis, which causes meningitis in humans, has been demonstrated to manipulate or alter host signalling pathways during infection of the central nervous system (CNS). However, these complex signalling networks are not completely understood. We investigate the phosphoproteome of an in vitro model of the blood-cerebrospinal fluid barrier (BCSFB) based on human epithelial choroid plexus (CP) papilloma (HIBCPP) cells during infection with the N. meningitidis serogroup B strain MC58 in presence and absence of the bacterial capsule. Interestingly, our data demonstrates a stronger impact on the phosphoproteome of the cells by the capsule-deficient mutant of MC58. Using enrichment analyses, potential pathways, molecular processes, biological processes, cellular components and kinases were determined to be regulated as a consequence of N. meningitidis infection of the BCSFB. Our data highlight a variety of protein regulations that are altered during infection of CP epithelial cells with N. meningitidis, with the regulation of several pathways and molecular events only being detected after infection with the capsule-deficient mutant. Mass spectrometry proteomics data are available via ProteomeXchange with identifier PXD038560.
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Affiliation(s)
- Rosanna Herold
- Pediatric Infectious Diseases, Department of Pediatrics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lea Denzer
- Pediatric Infectious Diseases, Department of Pediatrics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Walter Muranyi
- Pediatric Infectious Diseases, Department of Pediatrics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Carolin Stump-Guthier
- Pediatric Infectious Diseases, Department of Pediatrics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Hiroshi Ishikawa
- Laboratory of Clinical Regenerative Medicine, Department of Neurosurgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Horst Schroten
- Pediatric Infectious Diseases, Department of Pediatrics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christian Schwerk
- Pediatric Infectious Diseases, Department of Pediatrics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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50
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Dan Y, Radic N, Gay M, Fernández-Torras A, Arauz G, Vilaseca M, Aloy P, Canovas B, Nebreda A. Characterization of p38α signaling networks in cancer cells using quantitative proteomics and phosphoproteomics. Mol Cell Proteomics 2023; 22:100527. [PMID: 36894123 PMCID: PMC10105487 DOI: 10.1016/j.mcpro.2023.100527] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 03/09/2023] Open
Abstract
p38α (encoded by MAPK14) is a protein kinase that regulates cellular responses to almost all types of environmental and intracellular stresses. Upon activation, p38α phosphorylates many substrates both in the cytoplasm and nucleus, allowing this pathway to regulate a wide variety of cellular processes. While the role of p38α in the stress response has been widely investigated, its implication in cell homeostasis is less understood. To investigate the signaling networks regulated by p38α in proliferating cancer cells, we performed quantitative proteomic and phosphoproteomic analyses in breast cancer cells in which this pathway had been either genetically targeted or chemically inhibited. Our study identified with high confidence 35 proteins and 82 phosphoproteins (114 phosphosites) that are modulated by p38α, and highlighted the implication of various protein kinases, including MK2 and mTOR, in the p38α-regulated signaling networks. Moreover, functional analyses revealed an important contribution of p38α to the regulation of cell adhesion, DNA replication and RNA metabolism. Indeed, we provide experimental evidence supporting that p38α facilitates cancer cell adhesion, and showed that this p38α function is likely mediated by the modulation of the adaptor protein ArgBP2. Collectively, our results illustrate the complexity of the p38α regulated signaling networks, provide valuable information on p38α-dependent phosphorylation events in cancer cells, and document a mechanism by which p38α can regulate cell adhesion.
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Affiliation(s)
- Yuzhen Dan
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Nevenka Radic
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Marina Gay
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Adrià Fernández-Torras
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Gianluca Arauz
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Marta Vilaseca
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Patrick Aloy
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain; ICREA, Pg. Lluís Companys 23, 08010 Barcelona, Spain
| | - Begoña Canovas
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - AngelR Nebreda
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain; ICREA, Pg. Lluís Companys 23, 08010 Barcelona, Spain.
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