1
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Liu X, Abad L, Chatterjee L, Cristea IM, Varjosalo M. Mapping protein-protein interactions by mass spectrometry. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38742660 DOI: 10.1002/mas.21887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 04/22/2024] [Indexed: 05/16/2024]
Abstract
Protein-protein interactions (PPIs) are essential for numerous biological activities, including signal transduction, transcription control, and metabolism. They play a pivotal role in the organization and function of the proteome, and their perturbation is associated with various diseases, such as cancer, neurodegeneration, and infectious diseases. Recent advances in mass spectrometry (MS)-based protein interactomics have significantly expanded our understanding of the PPIs in cells, with techniques that continue to improve in terms of sensitivity, and specificity providing new opportunities for the study of PPIs in diverse biological systems. These techniques differ depending on the type of interaction being studied, with each approach having its set of advantages, disadvantages, and applicability. This review highlights recent advances in enrichment methodologies for interactomes before MS analysis and compares their unique features and specifications. It emphasizes prospects for further improvement and their potential applications in advancing our knowledge of PPIs in various biological contexts.
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Affiliation(s)
- Xiaonan Liu
- Department of Physiology, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, Katowice, Poland
- Institute of Biotechnology, HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Lawrence Abad
- Department of Molecular Biology, Princeton University, Princeton, New Jersey, USA
| | - Lopamudra Chatterjee
- Institute of Biotechnology, HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Ileana M Cristea
- Department of Molecular Biology, Princeton University, Princeton, New Jersey, USA
| | - Markku Varjosalo
- Institute of Biotechnology, HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
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2
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Wang Y, Qin W. Revealing protein trafficking by proximity labeling-based proteomics. Bioorg Chem 2024; 143:107041. [PMID: 38134520 DOI: 10.1016/j.bioorg.2023.107041] [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: 10/26/2023] [Revised: 11/22/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023]
Abstract
Protein trafficking is a fundamental process with profound implications for both intracellular and intercellular functions. Proximity labeling (PL) technology has emerged as a powerful tool for capturing precise snapshots of subcellular proteomes by directing promiscuous enzymes to specific cellular locations. These enzymes generate reactive species that tag endogenous proteins, enabling their identification through mass spectrometry-based proteomics. In this comprehensive review, we delve into recent advancements in PL-based methodologies, placing particular emphasis on the label-and-fractionation approach and TransitID, for mapping proteome trafficking. These methodologies not only facilitate the exploration of dynamic intracellular protein trafficking between organelles but also illuminate the intricate web of intercellular and inter-organ protein communications.
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Affiliation(s)
- Yankun Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China; Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China
| | - Wei Qin
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, China; Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China; MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing, China; The State Key Laboratory of Membrane Biology, Tsinghua University, Beijing, China.
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3
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Bronson R, Lyu J, Xiong J. Transcriptome analysis reveals molecular signature and cell-type difference of Homo sapiens endothelial-to-mesenchymal transition. G3 (BETHESDA, MD.) 2023; 13:jkad243. [PMID: 37857450 PMCID: PMC10700110 DOI: 10.1093/g3journal/jkad243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 08/01/2023] [Accepted: 10/14/2023] [Indexed: 10/21/2023]
Abstract
Endothelial-to-mesenchymal transition (EndoMT), a specific form of epithelial-to-mesenchymal transition, drives a growing number of human (Homo sapiens) pathological conditions. This emerging knowledge opens a path to discovering novel therapeutic targets for many EndoMT-associated disorders. Here, we constructed an atlas of the endothelial-cell transcriptome and demonstrated EndoMT-induced global changes in transcriptional gene expression. Our gene ontology analyses showed that EndoMT could be a specific checkpoint for leukocyte chemotaxis, adhesion, and transendothelial migration. We also identified distinct gene expression signatures underlying EndoMT across arterial, venous, and microvascular endothelial cells. We performed protein-protein interaction network analyses, identifying a class of highly connected hub genes in endothelial cells from different vascular beds. Moreover, we found that the short-chain fatty acid acetate strongly inhibits the transcriptional program of EndoMT in endothelial cells from different vascular beds across tissues. Our results reveal the molecular signature and cell-type difference of EndoMT across distinct tissue- and vascular-bed-specific endothelial cells, providing a powerful discovery tool and resource value. These results suggest that therapeutically manipulating the endothelial transcriptome could treat an increasing number of EndoMT-associated pathological conditions.
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Affiliation(s)
- Ronald Bronson
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, St.Petersburg, FL 33701, USA
- Institute for Fundamental Biomedical Research, Johns Hopkins All Children's Hospital, St.Petersburg, FL 33701, USA
| | - Junfang Lyu
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, St.Petersburg, FL 33701, USA
- Institute for Fundamental Biomedical Research, Johns Hopkins All Children's Hospital, St.Petersburg, FL 33701, USA
| | - Jianhua Xiong
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, St.Petersburg, FL 33701, USA
- Institute for Fundamental Biomedical Research, Johns Hopkins All Children's Hospital, St.Petersburg, FL 33701, USA
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4
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Abstract
Tissue regeneration is not simply a local repair event occurring in isolation from the distant, uninjured parts of the body. Rather, evidence indicates that regeneration is a whole-animal process involving coordinated interactions between different organ systems. Here, we review recent studies that reveal how remote uninjured tissues and organ systems respond to and engage in regeneration. We also discuss the need for toolkits and technological advancements to uncover and dissect organ communication during regeneration.
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Affiliation(s)
- Fei Sun
- Duke Regeneration Center, Department of Cell Biology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Kenneth D. Poss
- Duke Regeneration Center, Department of Cell Biology, Duke University School of Medicine, Durham, NC 27710, USA
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5
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Lyu Z, Genereux JC. Quantitative Measurement of Transthyretin Mistargeting by Proximity Labeling and Parallel Reaction Monitoring. FRONTIERS IN CHEMICAL BIOLOGY 2023; 2:1288188. [PMID: 38173467 PMCID: PMC10764115 DOI: 10.3389/fchbi.2023.1288188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Proximity labeling is a powerful approach for characterizing subcellular proteomes. We recently demonstrated that proximity labeling can be used to identify mistrafficking of secretory proteins, such as occurs during pre-emptive quality control (pre-QC) following endoplasmic reticulum (ER) stress. This assay depends on protein quantification by immunoblotting and densitometry, which sometimes suffers from poor sensitivity. Here, we integrate parallel reaction monitoring (PRM) mass spectrometry to enable a more quantitative platform, and assess how chemical ER stressors impact pre-QC of the model secretory protein transthyretin in HEK293T cells. We find that some drug treatments affect labeling efficiency, which can be controlled for by normalizing to APEX2 auto-labeling. While some chemical ER stress inducers including Brefeldin A and thapsigargin induce pre-QC, tunicamycin and dithiothreitol do not, indicating ER stress alone is not sufficient. This finding contrasts with the canonical model of pre-QC induction, and establishes the utility of our platform.
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Affiliation(s)
- Ziqi Lyu
- Department of Chemistry, University of California, Riverside, Riverside, CA, United States
| | - Joseph C. Genereux
- Department of Chemistry, University of California, Riverside, Riverside, CA, United States
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6
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Lyu Z, Genereux JC. Quantitative Measurement of Secretory Protein Mistargeting by Proximity Labeling and Parallel Reaction Monitoring. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.19.549095. [PMID: 37503147 PMCID: PMC10370094 DOI: 10.1101/2023.07.19.549095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Proximity labeling is a powerful approach for characterizing subcellular proteomes. We recently demonstrated that proximity labeling can be used to identify mistrafficking of secretory proteins, such as occurs during pre-emptive quality control (pre-QC) following endoplasmic reticulum (ER) stress. This assay depends on protein quantification by immunoblotting and densitometry, which is only semi-quantitative and suffers from poor sensitivity. Here, we integrate parallel reaction monitoring mass spectrometry to enable a more quantitative platform for ER import. PRM as opposed to densitometry improves quantification of transthyretin mistargeting while also achieving at least a ten-fold gain in sensitivity. The multiplexing of PRM also enabled us to evaluate a series of normalization approaches, revealing that normalization to auto-labeled APEX2 peroxidase is necessary to account for drug treatment-dependent changes in labeling efficiency. We apply this approach to systematically characterize the relationship between chemical ER stressors and ER pre-QC induction in HEK293T cells. Using dual-FLAG-tagged transthyretin (FLAGTTR) as a model secretory protein, we find that Brefeldin A treatment as well as ER calcium depletion cause pre-QC, while tunicamycin and dithiothreitol do not, indicating ER stress alone is not sufficient. This finding contrasts with the canonical model of pre-QC induction, and establishes the utility of our platform.
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Affiliation(s)
- Ziqi Lyu
- Department of Chemistry, University of California, Riverside, Riverside, CA 92521
| | - Joseph C. Genereux
- Department of Chemistry, University of California, Riverside, Riverside, CA 92521
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7
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Kitase Y, Prideaux M. Regulation of the Osteocyte Secretome with Aging and Disease. Calcif Tissue Int 2023; 113:48-67. [PMID: 37148298 DOI: 10.1007/s00223-023-01089-w] [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: 02/06/2023] [Accepted: 04/21/2023] [Indexed: 05/08/2023]
Abstract
As the most numerous and long-lived of all bone cells, osteocytes have essential functions in regulating skeletal health. Through the lacunar-canalicular system, secreted proteins from osteocytes can reach cells throughout the bone. Furthermore, the intimate connectivity between the lacunar-canalicular system and the bone vasculature allows for the transport of osteocyte-secreted factors into the circulation to reach the entire body. Local and endocrine osteocyte signaling regulates physiological processes such as bone remodeling, bone mechanoadaptation, and mineral homeostasis. However, these processes are disrupted by impaired osteocyte function induced by aging and disease. Dysfunctional osteocyte signaling is now associated with the pathogenesis of many disorders, including chronic kidney disease, cancer, diabetes mellitus, and periodontitis. In this review, we focus on the targeting of bone and extraskeletal tissues by the osteocyte secretome. In particular, we highlight the secreted osteocyte proteins, which are known to be dysregulated during aging and disease, and their roles during disease progression. We also discuss how therapeutic or genetic targeting of osteocyte-secreted proteins can improve both skeletal and systemic health.
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Affiliation(s)
- Yukiko Kitase
- Indiana Center for Musculoskeletal Health, School of Medicine, Indiana University, Indianapolis, IN, 46202, USA
- Department of Anatomy, Cell Biology and Physiology, School of Medicine, Indiana University, Indianapolis, IN, 46202, USA
| | - Matthew Prideaux
- Indiana Center for Musculoskeletal Health, School of Medicine, Indiana University, Indianapolis, IN, 46202, USA.
- Department of Anatomy, Cell Biology and Physiology, School of Medicine, Indiana University, Indianapolis, IN, 46202, USA.
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8
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Swietlik JJ, Bärthel S, Falcomatà C, Fink D, Sinha A, Cheng J, Ebner S, Landgraf P, Dieterich DC, Daub H, Saur D, Meissner F. Cell-selective proteomics segregates pancreatic cancer subtypes by extracellular proteins in tumors and circulation. Nat Commun 2023; 14:2642. [PMID: 37156840 PMCID: PMC10167354 DOI: 10.1038/s41467-023-38171-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 04/14/2023] [Indexed: 05/10/2023] Open
Abstract
Cell-selective proteomics is a powerful emerging concept to study heterocellular processes in tissues. However, its high potential to identify non-cell-autonomous disease mechanisms and biomarkers has been hindered by low proteome coverage. Here, we address this limitation and devise a comprehensive azidonorleucine labeling, click chemistry enrichment, and mass spectrometry-based proteomics and secretomics strategy to dissect aberrant signals in pancreatic ductal adenocarcinoma (PDAC). Our in-depth co-culture and in vivo analyses cover more than 10,000 cancer cell-derived proteins and reveal systematic differences between molecular PDAC subtypes. Secreted proteins, such as chemokines and EMT-promoting matrisome proteins, associated with distinct macrophage polarization and tumor stromal composition, differentiate classical and mesenchymal PDAC. Intriguingly, more than 1,600 cancer cell-derived proteins including cytokines and pre-metastatic niche formation-associated factors in mouse serum reflect tumor activity in circulation. Our findings highlight how cell-selective proteomics can accelerate the discovery of diagnostic markers and therapeutic targets in cancer.
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Affiliation(s)
- Jonathan J Swietlik
- Experimental Systems Immunology, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Stefanie Bärthel
- Division of Translational Cancer Research, German Cancer Research Center and German Cancer Consortium, Heidelberg, Germany
- Chair of Translational Cancer Research and Institute of Experimental Cancer Therapy, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Chiara Falcomatà
- Division of Translational Cancer Research, German Cancer Research Center and German Cancer Consortium, Heidelberg, Germany
- Chair of Translational Cancer Research and Institute of Experimental Cancer Therapy, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Diana Fink
- Institute of Innate Immunity, Department of Systems Immunology and Proteomics, Medical Faculty, University of Bonn, Bonn, Germany
| | - Ankit Sinha
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Jingyuan Cheng
- Experimental Systems Immunology, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Stefan Ebner
- Institute of Innate Immunity, Department of Systems Immunology and Proteomics, Medical Faculty, University of Bonn, Bonn, Germany
| | - Peter Landgraf
- Institute for Pharmacology and Toxicology, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Daniela C Dieterich
- Institute for Pharmacology and Toxicology, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
| | - Henrik Daub
- NEOsphere Biotechnologies GmbH, Martinsried, Germany
| | - Dieter Saur
- Division of Translational Cancer Research, German Cancer Research Center and German Cancer Consortium, Heidelberg, Germany.
- Chair of Translational Cancer Research and Institute of Experimental Cancer Therapy, University Hospital Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.
| | - Felix Meissner
- Experimental Systems Immunology, Max Planck Institute of Biochemistry, Martinsried, Germany.
- Institute of Innate Immunity, Department of Systems Immunology and Proteomics, Medical Faculty, University of Bonn, Bonn, Germany.
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9
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Kreissl FK, Banki MA, Droujinine IA. Molecular methods to study protein trafficking between organs. Proteomics 2023; 23:e2100331. [PMID: 36478633 DOI: 10.1002/pmic.202100331] [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: 06/14/2022] [Revised: 11/16/2022] [Accepted: 11/21/2022] [Indexed: 12/13/2022]
Abstract
Interorgan communication networks are key regulators of organismal homeostasis, and their dysregulation is associated with a variety of pathologies. While mass spectrometry proteomics identifies circulating proteins and can correlate their abundance with disease phenotypes, the tissues of origin and destinations of these secreted proteins remain largely unknown. In vitro approaches to study protein secretion are valuable, however, they may not mimic the complexity of in vivo environments. More recently, the development of engineered promiscuous BirA* biotin ligase derivatives has enabled tissue-specific tagging of cellular secreted proteomes in vivo. The use of biotin as a molecular tag provides information on the tissue of origin and destination, and enables the enrichment of low-abundance hormone proteins. Therefore, promiscuous protein biotinylation is a valuable tool to study protein secretion in vivo.
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Affiliation(s)
- Felix K Kreissl
- Department of Immunology and Microbiology, Scripps Research, La Jolla, California, USA
| | - Michael A Banki
- Department of Molecular Medicine, Scripps Research, La Jolla, California, USA
| | - Ilia A Droujinine
- Department of Molecular Medicine, Scripps Research, La Jolla, California, USA
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10
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Fenech EJ, Cohen N, Kupervaser M, Gazi Z, Schuldiner M. A toolbox for systematic discovery of stable and transient protein interactors in baker's yeast. Mol Syst Biol 2023; 19:e11084. [PMID: 36651308 PMCID: PMC9912024 DOI: 10.15252/msb.202211084] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 01/19/2023] Open
Abstract
Identification of both stable and transient interactions is essential for understanding protein function and regulation. While assessing stable interactions is more straightforward, capturing transient ones is challenging. In recent years, sophisticated tools have emerged to improve transient interactor discovery, with many harnessing the power of evolved biotin ligases for proximity labelling. However, biotinylation-based methods have lagged behind in the model eukaryote, Saccharomyces cerevisiae, possibly due to the presence of several abundant, endogenously biotinylated proteins. In this study, we optimised robust biotin-ligation methodologies in yeast and increased their sensitivity by creating a bespoke technique for downregulating endogenous biotinylation, which we term ABOLISH (Auxin-induced BiOtin LIgase diminiSHing). We used the endoplasmic reticulum insertase complex (EMC) to demonstrate our approaches and uncover new substrates. To make these tools available for systematic probing of both stable and transient interactions, we generated five full-genome collections of strains in which every yeast protein is tagged with each of the tested biotinylation machineries, some on the background of the ABOLISH system. This comprehensive toolkit enables functional interactomics of the entire yeast proteome.
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Affiliation(s)
- Emma J Fenech
- Department of Molecular GeneticsWeizmann Institute of ScienceRehovotIsrael
| | - Nir Cohen
- Department of Molecular GeneticsWeizmann Institute of ScienceRehovotIsrael
| | - Meital Kupervaser
- The de Botton Protein Profiling Institute of the Nancy and Stephen Grand Israel National Centre for Personalized MedicineWeizmann Institute of ScienceRehovotIsrael
| | - Zohar Gazi
- Department of Molecular GeneticsWeizmann Institute of ScienceRehovotIsrael
| | - Maya Schuldiner
- Department of Molecular GeneticsWeizmann Institute of ScienceRehovotIsrael
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11
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Shuster SA, Li J, Chon UR, Sinantha-Hu MC, Luginbuhl DJ, Udeshi ND, Carey DK, Takeo YH, Xie Q, Xu C, Mani DR, Han S, Ting AY, Carr SA, Luo L. In situ cell-type-specific cell-surface proteomic profiling in mice. Neuron 2022; 110:3882-3896.e9. [PMID: 36220098 PMCID: PMC9742329 DOI: 10.1016/j.neuron.2022.09.025] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/04/2022] [Accepted: 09/20/2022] [Indexed: 11/06/2022]
Abstract
Cell-surface proteins (CSPs) mediate intercellular communication throughout the lives of multicellular organisms. However, there are no generalizable methods for quantitative CSP profiling in specific cell types in vertebrate tissues. Here, we present in situ cell-surface proteome extraction by extracellular labeling (iPEEL), a proximity labeling method in mice that enables spatiotemporally precise labeling of cell-surface proteomes in a cell-type-specific environment in native tissues for discovery proteomics. Applying iPEEL to developing and mature cerebellar Purkinje cells revealed differential enrichment in CSPs with post-translational protein processing and synaptic functions in the developing and mature cell-surface proteomes, respectively. A proteome-instructed in vivo loss-of-function screen identified a critical, multifaceted role for Armh4 in Purkinje cell dendrite morphogenesis. Armh4 overexpression also disrupts dendrite morphogenesis; this effect requires its conserved cytoplasmic domain and is augmented by disrupting its endocytosis. Our results highlight the utility of CSP profiling in native mammalian tissues for identifying regulators of cell-surface signaling.
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Affiliation(s)
- S Andrew Shuster
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA; Neurosciences Program, Stanford University, CA 94305, USA
| | - Jiefu Li
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - URee Chon
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA; Neurosciences Program, Stanford University, CA 94305, USA
| | - Miley C Sinantha-Hu
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - David J Luginbuhl
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Namrata D Udeshi
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Yukari H Takeo
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Qijing Xie
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA; Neurosciences Program, Stanford University, CA 94305, USA
| | - Chuanyun Xu
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - D R Mani
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Shuo Han
- Departments of Genetics, Biology, and Chemistry, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305, USA
| | - Alice Y Ting
- Departments of Genetics, Biology, and Chemistry, Chan Zuckerberg Biohub, Stanford University, Stanford, CA 94305, USA
| | - Steven A Carr
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Liqun Luo
- Department of Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
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12
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Yang R, Meyer AS, Droujinine IA, Udeshi ND, Hu Y, Guo J, McMahon JA, Carey DK, Xu C, Fang Q, Sha J, Qin S, Rocco D, Wohlschlegel J, Ting AY, Carr SA, Perrimon N, McMahon AP. A genetic model for in vivo proximity labelling of the mammalian secretome. Open Biol 2022; 12:220149. [PMID: 35946312 PMCID: PMC9364151 DOI: 10.1098/rsob.220149] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Organ functions are highly specialized and interdependent. Secreted factors regulate organ development and mediate homeostasis through serum trafficking and inter-organ communication. Enzyme-catalysed proximity labelling enables the identification of proteins within a specific cellular compartment. Here, we report a BirA*G3 mouse strain that enables CRE-dependent promiscuous biotinylation of proteins trafficking through the endoplasmic reticulum. When broadly activated throughout the mouse, widespread labelling of proteins was observed within the secretory pathway. Streptavidin affinity purification and peptide mapping by quantitative mass spectrometry (MS) proteomics revealed organ-specific secretory profiles and serum trafficking. As expected, secretory proteomes were highly enriched for signal peptide-containing proteins, highlighting both conventional and non-conventional secretory processes, and ectodomain shedding. Lower-abundance proteins with hormone-like properties were recovered and validated using orthogonal approaches. Hepatocyte-specific activation of BirA*G3 highlighted liver-specific biotinylated secretome profiles. The BirA*G3 mouse model demonstrates enhanced labelling efficiency and tissue specificity over viral transduction approaches and will facilitate a deeper understanding of secretory protein interplay in development, and in healthy and diseased adult states.
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Affiliation(s)
- Rui Yang
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA,Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
| | - Amanda S. Meyer
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA,Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
| | | | | | - Yanhui Hu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Jinjin Guo
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA,Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
| | - Jill A. McMahon
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA,Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
| | | | - Charles Xu
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Qiao Fang
- Department of Molecular Genetics, University of Toronto, Toronto, ON Canada, M5S 3E1
| | - Jihui Sha
- Department of Biological Chemistry, Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA, USA
| | - Shishang Qin
- BIOPIC, Beijing Advanced Innovation Center for Genomics, School of Life Sciences, Peking University, Beijing, People's Republic of China
| | - David Rocco
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - James Wohlschlegel
- Department of Biological Chemistry, Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA, USA
| | - Alice Y. Ting
- Chan Zuckerberg Biohub, San Francisco, CA, USA,Departments of Genetics, Biology, and Chemistry, Stanford University, Stanford, CA, USA
| | | | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA,Howard Hughes Medical Institute, Boston, MA, USA
| | - Andrew P. McMahon
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA,Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
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13
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Bivona Iii JJ, Mank MM, Stapleton RD, Files DC, Toth MJ, Poynter ME. Skeletal Muscle Myofibers Directly Contribute to LPS-Induced Systemic Inflammatory Tone. Front Pharmacol 2022; 13:917917. [PMID: 35814217 PMCID: PMC9260049 DOI: 10.3389/fphar.2022.917917] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/09/2022] [Indexed: 12/11/2022] Open
Abstract
The abundance, anatomical distribution, and vascularity of skeletal muscle make it a potentially important contributor to local cytokine production and systemic cytokine abundance during inflammatory events. An orchestrated balance between the production of pro- and anti-inflammatory mediators is necessary for proper immune function, yet the contribution of the body's largest organ system, comprised primarily of skeletal muscle myocytes that fuse to form myofibers, to this process is largely unknown. Endotoxin (lipopolysaccharide, LPS) stimulates toll-like receptor 4 (TLR4) to induce the production of several pro-inflammatory cytokines, including interleukin-6 (IL-6) and C-C motif chemokine ligand 2 (CCL2), by a of myriad cell types. We sought to quantify the influence of myofibers on systemic cytokine concentrations following an acute endotoxemia challenge. To accomplish this, we generated muscle specific conditional knockouts for TLR4 (TLR4SMKO), IL-6 (IL6SMKO), and CCL2 (CCL2SMKO). We administered low concentrations of intravenous LPS (IV LPS) to these receptor and effector knockout mice and collected samples after 3 h. Using gene expression analysis of gastrocnemius muscle and serum cytokine measurements after IV LPS, we determined that deletion of myofiber IL-6 or CCL2 led to a 93% and 57% reduction of these specific cytokines in the systemic circulation, respectively. Myofiber specific TLR4 deletion decreased the expression of IL-6, CCL2, and C-X-C motif chemokine ligand 1 (CXCL1) in the gastrocnemius muscle. These data indicate the critical involvement and direct contribution of myofibers during the early systemic inflammatory cytokine response to endotoxin.
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Affiliation(s)
- Joseph J Bivona Iii
- Department of Medicine and Vermont Lung Center, University of Vermont Larner College of Medicine, Burlington, VT, United States
| | - Madeleine M Mank
- Department of Medicine and Vermont Lung Center, University of Vermont Larner College of Medicine, Burlington, VT, United States
| | - Renee D Stapleton
- Department of Medicine and Vermont Lung Center, University of Vermont Larner College of Medicine, Burlington, VT, United States
| | - D Clark Files
- Department of Internal Medicine, Section on Pulmonary, Critical Care, Allergy and Immunology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Michael J Toth
- Department of Medicine and Vermont Lung Center, University of Vermont Larner College of Medicine, Burlington, VT, United States
| | - Matthew E Poynter
- Department of Medicine and Vermont Lung Center, University of Vermont Larner College of Medicine, Burlington, VT, United States
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14
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Brewer KD, Shi SM, Wyss-Coray T. Unraveling protein dynamics to understand the brain - the next molecular frontier. Mol Neurodegener 2022; 17:45. [PMID: 35717317 PMCID: PMC9206758 DOI: 10.1186/s13024-022-00546-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 05/25/2022] [Indexed: 11/29/2022] Open
Abstract
The technological revolution to measure global gene expression at the single-cell level is currently transforming our knowledge of the brain and neurological diseases, leading from a basic understanding of genetic regulators and risk factors to one of more complex gene interactions and biological pathways. Looking ahead, our next challenge will be the reliable measurement and understanding of proteins. We describe in this review how to apply new, powerful methods of protein labeling, tracking, and detection. Recent developments of these methods now enable researchers to uncover protein mechanisms in vivo that may previously have only been hypothesized. These methods are also useful for discovering new biology because how proteins regulate systemic interactions is not well understood in most cases, such as how they travel through the bloodstream to distal targets or cross the blood–brain barrier. Genetic sequencing of DNA and RNA have enabled many great discoveries in the past 20 years, and now, the protein methods described here are creating a more complete picture of how cells to whole organisms function. It is likely that these developments will generate another transformation in biomedical research and our understanding of the brain and will ultimately allow for patient-specific medicine on a protein level.
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Affiliation(s)
- Kyle D Brewer
- ChEM-H, Stanford University, Stanford, CA, USA.,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Sophia M Shi
- ChEM-H, Stanford University, Stanford, CA, USA.,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- ChEM-H, Stanford University, Stanford, CA, USA. .,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA. .,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA. .,Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.
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15
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Okamoto N, Watanabe A. Interorgan communication through peripherally derived peptide hormones in Drosophila. Fly (Austin) 2022; 16:152-176. [PMID: 35499154 PMCID: PMC9067537 DOI: 10.1080/19336934.2022.2061834] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
In multicellular organisms, endocrine factors such as hormones and cytokines regulate development and homoeostasis through communication between different organs. For understanding such interorgan communications through endocrine factors, the fruit fly Drosophila melanogaster serves as an excellent model system due to conservation of essential endocrine systems between flies and mammals and availability of powerful genetic tools. In Drosophila and other insects, functions of neuropeptides or peptide hormones from the central nervous system have been extensively studied. However, a series of recent studies conducted in Drosophila revealed that peptide hormones derived from peripheral tissues also play critical roles in regulating multiple biological processes, including growth, metabolism, reproduction, and behaviour. Here, we summarise recent advances in understanding target organs/tissues and functions of peripherally derived peptide hormones in Drosophila and describe how these hormones contribute to various biological events through interorgan communications.
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Affiliation(s)
- Naoki Okamoto
- Life Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance (TARA), University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Akira Watanabe
- Degree Programs in Life and Earth Sciences, Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Ibaraki, Japan
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16
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Poschmann G, Bahr J, Schrader J, Stejerean-Todoran I, Bogeski I, Stühler K. Secretomics—A Key to a Comprehensive Picture of Unconventional Protein Secretion. Front Cell Dev Biol 2022; 10:878027. [PMID: 35392176 PMCID: PMC8980719 DOI: 10.3389/fcell.2022.878027] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 03/07/2022] [Indexed: 12/20/2022] Open
Abstract
For a long time, leaderless secreted proteins (LLSP) were neglected as artifacts derived from dying cells. It is now generally accepted that secretion of LLSP–as a part of the collective term unconventional protein secretion (UPS) - is an evolutionarily conserved process and that these LLSP are actively and selectively secreted from living cells bypassing the classical endoplasmic reticulum-Golgi pathway. However, the mechanism of UPS pathways, as well as the number of LLSP and which part of a protein is involved in the selection of LLSPs for secretion, are still enigmatic and await clarification. Secretomics-a proteomics-based approach to identify and quantify all proteins secreted by a cell-is inherently unbiased toward a particular secretion pathway and offers the opportunity to shed light on the UPS. Here, we will evaluate and present recent results of proteomic workflows allowing to obtain high-confident secretome data. Additionally, we address that cell culture conditions largely affect the composition of the secretome. This has to be kept in mind to control cell culture induced artifacts and adaptation stress in serum free conditions. Evaluation of click chemistry for secretome analysis of cells under serum-containing conditions showed a significant change in the cellular proteome with longer incubation time upon treatment with non-canonical amino acid azidohomoalanine. Finally, we showed that the number of LLSP far exceeds the number of secreted proteins annotated in Uniprot and ProteinAtlas. Thus, secretomics in combination with sophisticated microbioanalytical and sample preparation methods is well suited to provide a comprehensive picture of UPS.
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Affiliation(s)
- Gereon Poschmann
- Institute for Molecular Medicine, Proteome Research, University Hospital and Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Jasmin Bahr
- Department of Molecular Cardiology, University Hospital and Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Jürgen Schrader
- Department of Molecular Cardiology, University Hospital and Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Ioana Stejerean-Todoran
- Molecular Physiology, Institute for Cardiovascular Physiology, University Medical Center, Georg August University Göttingen, Göttingen, Germany
| | - Ivan Bogeski
- Molecular Physiology, Institute for Cardiovascular Physiology, University Medical Center, Georg August University Göttingen, Göttingen, Germany
| | - Kai Stühler
- Institute for Molecular Medicine, Proteome Research, University Hospital and Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Molecular Proteomics Laboratory, Biological Medical Research Center, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- *Correspondence: Kai Stühler,
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17
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An L, Yu R, Han Y, Zhou Z. Decoding the intercellular communication network during tumorigenesis. Cancer Biol Med 2021; 19:j.issn.2095-3941.2021.0558. [PMID: 34783465 PMCID: PMC8958884 DOI: 10.20892/j.issn.2095-3941.2021.0558] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 10/26/2021] [Indexed: 11/15/2022] Open
Affiliation(s)
- Liwei An
- State Key Laboratory of Genetic Engineering, Zhongshan Hospital, School of Life Sciences, Fudan University, Shanghai 200438, China
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai Engineering Research Centre of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Ruixian Yu
- State Key Laboratory of Genetic Engineering, Zhongshan Hospital, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Yi Han
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai Engineering Research Centre of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Zhaocai Zhou
- State Key Laboratory of Genetic Engineering, Zhongshan Hospital, School of Life Sciences, Fudan University, Shanghai 200438, China
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18
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19
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Dynamic tracking and identification of tissue-specific secretory proteins in the circulation of live mice. Nat Commun 2021; 12:5204. [PMID: 34471136 PMCID: PMC8410947 DOI: 10.1038/s41467-021-25546-y] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 08/12/2021] [Indexed: 12/16/2022] Open
Abstract
Secretory proteins are an essential component of interorgan communication networks that regulate animal physiology. Current approaches for identifying secretory proteins from specific cell and tissue types are largely limited to in vitro or ex vivo models which often fail to recapitulate in vivo biology. As such, there is mounting interest in developing in vivo analytical tools that can provide accurate information on the origin, identity, and spatiotemporal dynamics of secretory proteins. Here, we describe iSLET (in situ Secretory protein Labeling via ER-anchored TurboID) which selectively labels proteins that transit through the classical secretory pathway via catalytic actions of Sec61b-TurboID, a proximity labeling enzyme anchored in the ER lumen. To validate iSLET in a whole-body system, we express iSLET in the mouse liver and demonstrate efficient labeling of liver secretory proteins which could be tracked and identified within circulating blood plasma. Furthermore, proteomic analysis of the labeled liver secretome enriched from liver iSLET mouse plasma is highly consistent with previous reports of liver secretory protein profiles. Taken together, iSLET is a versatile and powerful tool for studying spatiotemporal dynamics of secretory proteins, a valuable class of biomarkers and therapeutic targets. The in vivo identification of proteins secreted from a specific cell type or tissue remains challenging. Here, the authors develop a proximity labeling-based method to selectively label secreted proteins and combine it with proteomics to identify liver secretory proteins in mouse plasma.
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20
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Droujinine IA, Meyer AS, Wang D, Udeshi ND, Hu Y, Rocco D, McMahon JA, Yang R, Guo J, Mu L, Carey DK, Svinkina T, Zeng R, Branon T, Tabatabai A, Bosch JA, Asara JM, Ting AY, Carr SA, McMahon AP, Perrimon N. Proteomics of protein trafficking by in vivo tissue-specific labeling. Nat Commun 2021; 12:2382. [PMID: 33888706 PMCID: PMC8062696 DOI: 10.1038/s41467-021-22599-x] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 03/19/2021] [Indexed: 02/06/2023] Open
Abstract
Conventional approaches to identify secreted factors that regulate homeostasis are limited in their abilities to identify the tissues/cells of origin and destination. We established a platform to identify secreted protein trafficking between organs using an engineered biotin ligase (BirA*G3) that biotinylates, promiscuously, proteins in a subcellular compartment of one tissue. Subsequently, biotinylated proteins are affinity-enriched and identified from distal organs using quantitative mass spectrometry. Applying this approach in Drosophila, we identify 51 muscle-secreted proteins from heads and 269 fat body-secreted proteins from legs/muscles, including CG2145 (human ortholog ENDOU) that binds directly to muscles and promotes activity. In addition, in mice, we identify 291 serum proteins secreted from conditional BirA*G3 embryo stem cell-derived teratomas, including low-abundance proteins with hormonal properties. Our findings indicate that the communication network of secreted proteins is vast. This approach has broad potential across different model systems to identify cell-specific secretomes and mediators of interorgan communication in health or disease.
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Affiliation(s)
- Ilia A Droujinine
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
- Department of Molecular Medicine, Scripps Research, La Jolla, CA, USA.
| | - Amanda S Meyer
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
| | - Dan Wang
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Entomology, China Agricultural University, Beijing, China
| | | | - Yanhui Hu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - David Rocco
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Jill A McMahon
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
| | - Rui Yang
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
| | - JinJin Guo
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
| | - Luye Mu
- Department of Electrical Engineering, Yale University, New Haven, CT, USA
| | | | | | - Rebecca Zeng
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Tess Branon
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Areya Tabatabai
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Justin A Bosch
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - John M Asara
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Signal Transduction, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Alice Y Ting
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Departments of Genetics, Biology, and Chemistry, Stanford University, Stanford, CA, USA
| | - Steven A Carr
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Andrew P McMahon
- Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA
- Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, University of Southern California, Los Angeles, CA, USA
| | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
- Howard Hughes Medical Institute, Boston, MA, USA.
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21
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Sullivan DI, Jiang M, Hinchie AM, Roth MG, Bahudhanapati H, Nouraie M, Liu J, McDyer JF, Mallampalli RK, Zhang Y, Kass DJ, Finkel T, Alder JK. Transcriptional and Proteomic Characterization of Telomere-Induced Senescence in a Human Alveolar Epithelial Cell Line. Front Med (Lausanne) 2021; 8:600626. [PMID: 33634147 PMCID: PMC7902064 DOI: 10.3389/fmed.2021.600626] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 01/05/2021] [Indexed: 01/16/2023] Open
Abstract
Cellular senescence due to telomere dysfunction has been hypothesized to play a role in age-associated diseases including idiopathic pulmonary fibrosis (IPF). It has been postulated that paracrine mediators originating from senescent alveolar epithelia signal to surrounding mesenchymal cells and contribute to disease pathogenesis. However, murine models of telomere-induced alveolar epithelial senescence fail to display the canonical senescence-associated secretory phenotype (SASP) that is observed in senescent human cells. In an effort to understand human-specific responses to telomere dysfunction, we modeled telomere dysfunction-induced senescence in a human alveolar epithelial cell line. We hypothesized that this system would enable us to probe for differences in transcriptional and proteomic senescence pathways in vitro and to identify novel secreted protein (secretome) changes that potentially contribute to the pathogenesis of IPF. Following induction of telomere dysfunction, a robust senescence phenotype was observed. RNA-seq analysis of the senescent cells revealed the SASP and comparisons to previous murine data highlighted differences in response to telomere dysfunction. We conducted a proteomic analysis of the senescent cells using a novel biotin ligase capable of labeling secreted proteins. Candidate biomarkers selected from our transcriptional and secretome data were then evaluated in IPF and control patient plasma. Four novel proteins were found to be differentially expressed between the patient groups: stanniocalcin-1, contactin-1, tenascin C, and total inhibin. Our data show that human telomere-induced, alveolar epithelial senescence results in a transcriptional SASP that is distinct from that seen in analogous murine cells. Our findings suggest that studies in animal models should be carefully validated given the possibility of species-specific responses to telomere dysfunction. We also describe a pragmatic approach for the study of the consequences of telomere-induced alveolar epithelial cell senescence in humans.
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Affiliation(s)
- Daniel I. Sullivan
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States,Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, Pittsburgh, PA, United States
| | - Mao Jiang
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States,The Third Xiangya Hospital, Central South University, Changsha, China
| | - Angela M. Hinchie
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Mark G. Roth
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Harinath Bahudhanapati
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States,Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, Pittsburgh, PA, United States
| | - Mehdi Nouraie
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States,Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, Pittsburgh, PA, United States
| | - Jie Liu
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, United States,University of Pittsburgh Medical Center, Pittsburgh, PA, United States,Division of Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - John F. McDyer
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Rama K. Mallampalli
- Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Yingze Zhang
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States,Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, Pittsburgh, PA, United States
| | - Daniel J. Kass
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States,Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, Pittsburgh, PA, United States
| | - Toren Finkel
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, United States,University of Pittsburgh Medical Center, Pittsburgh, PA, United States,Division of Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Jonathan K. Alder
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States,Dorothy P. and Richard P. Simmons Center for Interstitial Lung Disease, Pittsburgh, PA, United States,*Correspondence: Jonathan K. Alder
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