1
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Wang T, Liang Y, Wang G, Ma S, Zhang L, Lu H, Zhang Y. Ultrafast and Chemoselective Biotinylation of Living Cell Surfaces for Time-Resolved Surfaceome Analysis. Anal Chem 2024; 96:14448-14455. [PMID: 39192718 DOI: 10.1021/acs.analchem.4c02271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2024]
Abstract
Cell surface proteins participate in many important biological processes, such as cell-to-cell interaction, signal transduction, cell adhesion, and protein transportation. In-depth study of the cell surface protein group is of great significance. Nevertheless, detection and analysis of the surfaceome remain a significant challenge due to their low abundance and hydrophobicity. Herein, we reported an ultrafast and chemoselective labeling method using our newly developed trifunctional probe, the OPA-S-S-alkyne, which labeled cell surface lysine residues, and then established a novel cell surfaceome profiling approach. According to our experimental results, the OPA-S-S-alkyne probe can react extremely fast with living cells, labeling cells in only 1 min, while traditional NHS (labeling cell surface lysine with N-hydroxysuccinimide ester probe) and CSC (labeling cell surface glycan with hydrazide biotin probe) methods normally take longer time of more than 30 min and 1 h, respectively. Taking advantage of this ultrafast property of the method, we highlight the utility of this method by exploring the temporal dynamic changes of surfaceome upon EGF stimulation in living Hela cells and reported "early" and "late" EGF-regulated cell surface proteins, which are difficult to be distinguished by the current cell surface profiling approaches.
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Affiliation(s)
- Ting Wang
- Department of Chemistry and Liver Cancer Institute of Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yuying Liang
- Department of Chemistry and Liver Cancer Institute of Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Guoli Wang
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China
| | - Shiyun Ma
- Department of Chemistry and Liver Cancer Institute of Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Lei Zhang
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China
| | - Haojie Lu
- Department of Chemistry and Liver Cancer Institute of Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China
| | - Ying Zhang
- Department of Chemistry and Liver Cancer Institute of Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China
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2
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Tuomivaara ST, Teo CF, Jan YN, Wiita AP, Jan LY. SLAPSHOT reveals rapid dynamics of extracellularly exposed proteome in response to calcium-activated plasma membrane phospholipid scrambling. Commun Biol 2024; 7:1060. [PMID: 39210032 PMCID: PMC11362511 DOI: 10.1038/s42003-024-06729-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 08/13/2024] [Indexed: 09/04/2024] Open
Abstract
To facilitate our understanding of proteome dynamics during signaling events, robust workflows affording fast time resolution without confounding factors are essential. We present Surface-exposed protein Labeling using PeroxidaSe, H2O2, and Tyramide-derivative (SLAPSHOT) to label extracellularly exposed proteins in a rapid, specific, and sensitive manner. Simple and flexible SLAPSHOT utilizes recombinant soluble APEX2 protein applied to cells, thus circumventing the engineering of tools and cells, biological perturbations, and labeling biases. We applied SLAPSHOT and quantitative proteomics to examine the TMEM16F-dependent plasma membrane remodeling in WT and TMEM16F KO cells. Time-course data ranging from 1 to 30 min of calcium stimulation revealed co-regulation of known protein families, including the integrin and ICAM families, and identified proteins known to reside in intracellular organelles as occupants of the freshly deposited extracellularly exposed membrane. Our data provide the first accounts of the immediate consequences of calcium signaling on the extracellularly exposed proteome.
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Affiliation(s)
- Sami T Tuomivaara
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- Department of Obstetrics, Gynecology & Reproductive Sciences and Sandler-Moore Mass Spectrometry Core Facility, University of California, San Francisco, CA, USA
| | - Chin Fen Teo
- Howard Hughes Medical Institute, University of California, San Francisco, CA, USA
- Department of Physiology, University of California, San Francisco, CA, USA
| | - Yuh Nung Jan
- Howard Hughes Medical Institute, University of California, San Francisco, CA, USA
- Department of Physiology, University of California, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - Arun P Wiita
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA.
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA.
- Chan Zuckerberg Biohub San Francisco, San Francisco, CA, USA.
| | - Lily Y Jan
- Howard Hughes Medical Institute, University of California, San Francisco, CA, USA.
- Department of Physiology, University of California, San Francisco, CA, USA.
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA.
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3
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Berg Luecke L, Mesidor R, Littrell J, Carpenter M, Wojtkiewicz M, Gundry RL. Veneer Is a Webtool for Rapid, Standardized, and Transparent Interpretation, Annotation, and Reporting of Mammalian Cell Surface N-Glycocapture Data. J Proteome Res 2024; 23:3235-3248. [PMID: 38412263 PMCID: PMC11301670 DOI: 10.1021/acs.jproteome.3c00800] [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: 01/23/2024] [Accepted: 02/12/2024] [Indexed: 02/29/2024]
Abstract
Currently, no consensus exists regarding criteria required to designate a protein within a proteomic data set as a cell surface protein. Most published proteomic studies rely on varied ontology annotations or computational predictions instead of experimental evidence when attributing protein localization. Consequently, standardized approaches for analyzing and reporting cell surface proteome data sets would increase confidence in localization claims and promote data use by other researchers. Recently, we developed Veneer, a web-based bioinformatic tool that analyzes results from cell surface N-glycocapture workflows─the most popular cell surface proteomics method used to date that generates experimental evidence of subcellular location. Veneer assigns protein localization based on defined experimental and bioinformatic evidence. In this study, we updated the criteria and process for assigning protein localization and added new functionality to Veneer. Results of Veneer analysis of 587 cell surface N-glycocapture data sets from 32 published studies demonstrate the importance of applying defined criteria when analyzing cell surface proteomics data sets and exemplify how Veneer can be used to assess experimental quality and facilitate data extraction for informing future biological studies and annotating public repositories.
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Affiliation(s)
- Linda Berg Luecke
- CardiOmics
Program, Center for Heart and Vascular Research and Department of
Cellular and Integrative Physiology, University
of Nebraska Medical Center, Omaha, Nebraska 68198, United States
- Department
of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, United States
| | - Roneldine Mesidor
- CardiOmics
Program, Center for Heart and Vascular Research and Department of
Cellular and Integrative Physiology, University
of Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - Jack Littrell
- CardiOmics
Program, Center for Heart and Vascular Research and Department of
Cellular and Integrative Physiology, University
of Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - Morgan Carpenter
- CardiOmics
Program, Center for Heart and Vascular Research and Department of
Cellular and Integrative Physiology, University
of Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - Melinda Wojtkiewicz
- CardiOmics
Program, Center for Heart and Vascular Research and Department of
Cellular and Integrative Physiology, University
of Nebraska Medical Center, Omaha, Nebraska 68198, United States
| | - Rebekah L. Gundry
- CardiOmics
Program, Center for Heart and Vascular Research and Department of
Cellular and Integrative Physiology, University
of Nebraska Medical Center, Omaha, Nebraska 68198, United States
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4
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Wang T, Ma S, Ji G, Wang G, Liu Y, Zhang L, Zhang Y, Lu H. A chemical proteomics approach for global mapping of functional lysines on cell surface of living cell. Nat Commun 2024; 15:2997. [PMID: 38589397 PMCID: PMC11001985 DOI: 10.1038/s41467-024-47033-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] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 03/19/2024] [Indexed: 04/10/2024] Open
Abstract
Cell surface proteins are responsible for many crucial physiological roles, and they are also the major category of drug targets as the majority of therapeutics target membrane proteins on the surface of cells to alter cellular signaling. Despite its great significance, ligand discovery against membrane proteins has posed a great challenge mainly due to the special property of their natural habitat. Here, we design a new chemical proteomic probe OPA-S-S-alkyne that can efficiently and selectively target the lysines exposed on the cell surface and develop a chemical proteomics strategy for global analysis of surface functionality (GASF) in living cells. In total, we quantified 2639 cell surface lysines in Hela cell and several hundred residues with high reactivity were discovered, which represents the largest dataset of surface functional lysine sites to date. We discovered and validated that hyper-reactive lysine residues K382 on tyrosine kinase-like orphan receptor 2 (ROR2) and K285 on Endoglin (ENG/CD105) are at the protein interaction interface in co-crystal structures of protein complexes, emphasizing the broad potential functional consequences of cell surface lysines and GASF strategy is highly desirable for discovering new active and ligandable sites that can be functionally interrogated for drug discovery.
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Affiliation(s)
- Ting Wang
- Liver Cancer Institute, Zhongshan Hospital and Department of Chemistry, Fudan University, Shanghai, China
| | - Shiyun Ma
- Liver Cancer Institute, Zhongshan Hospital and Department of Chemistry, Fudan University, Shanghai, China
| | - Guanghui Ji
- Liver Cancer Institute, Zhongshan Hospital and Department of Chemistry, Fudan University, Shanghai, China
| | - Guoli Wang
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Shanghai, China
| | - Yang Liu
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Shanghai, China
| | - Lei Zhang
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Shanghai, China
| | - Ying Zhang
- Liver Cancer Institute, Zhongshan Hospital and Department of Chemistry, Fudan University, Shanghai, China.
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Shanghai, China.
| | - Haojie Lu
- Liver Cancer Institute, Zhongshan Hospital and Department of Chemistry, Fudan University, Shanghai, China.
- Institutes of Biomedical Sciences and NHC Key Laboratory of Glycoconjugates Research, Shanghai, China.
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5
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Tremblay TL, Alata W, Slinn J, Baumann E, Delaney CE, Moreno M, Haqqani AS, Stanimirovic DB, Hill JJ. The proteome of the blood-brain barrier in rat and mouse: highly specific identification of proteins on the luminal surface of brain microvessels by in vivo glycocapture. Fluids Barriers CNS 2024; 21:23. [PMID: 38433215 PMCID: PMC10910681 DOI: 10.1186/s12987-024-00523-x] [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: 10/11/2023] [Accepted: 02/19/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND The active transport of molecules into the brain from blood is regulated by receptors, transporters, and other cell surface proteins that are present on the luminal surface of endothelial cells at the blood-brain barrier (BBB). However, proteomic profiling of proteins present on the luminal endothelial cell surface of the BBB has proven challenging due to difficulty in labelling these proteins in a way that allows efficient purification of these relatively low abundance cell surface proteins. METHODS Here we describe a novel perfusion-based labelling workflow: in vivo glycocapture. This workflow relies on the oxidation of glycans present on the luminal vessel surface via perfusion of a mild oxidizing agent, followed by subsequent isolation of glycoproteins by covalent linkage of their oxidized glycans to hydrazide beads. Mass spectrometry-based identification of the isolated proteins enables high-confidence identification of endothelial cell surface proteins in rats and mice. RESULTS Using the developed workflow, 347 proteins were identified from the BBB in rat and 224 proteins in mouse, for a total of 395 proteins in both species combined. These proteins included many proteins with transporter activity (73 proteins), cell adhesion proteins (47 proteins), and transmembrane signal receptors (31 proteins). To identify proteins that are enriched in vessels relative to the entire brain, we established a vessel-enrichment score and showed that proteins with a high vessel-enrichment score are involved in vascular development functions, binding to integrins, and cell adhesion. Using publicly-available single-cell RNAseq data, we show that the proteins identified by in vivo glycocapture were more likely to be detected by scRNAseq in endothelial cells than in any other cell type. Furthermore, nearly 50% of the genes encoding cell-surface proteins that were detected by scRNAseq in endothelial cells were also identified by in vivo glycocapture. CONCLUSIONS The proteins identified by in vivo glycocapture in this work represent the most complete and specific profiling of proteins on the luminal BBB surface to date. The identified proteins reflect possible targets for the development of antibodies to improve the crossing of therapeutic proteins into the brain and will contribute to our further understanding of BBB transport mechanisms.
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Affiliation(s)
- Tammy-Lynn Tremblay
- Human Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada
| | - Wael Alata
- Human Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada
- Biology Program, New York University Abu Dhabi, Saadiyat Island Campus, P.O. Box 129188, Abu Dhabi, United Arab Emirates
| | - Jacqueline Slinn
- Human Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada
| | - Ewa Baumann
- Human Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada
| | - Christie E Delaney
- Human Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada
| | - Maria Moreno
- Human Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada
| | - Arsalan S Haqqani
- Human Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada
| | - Danica B Stanimirovic
- Human Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada
| | - Jennifer J Hill
- Human Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada.
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Dieters-Castator DZ, Manzanillo P, Yang HY, Modak RV, Rardin MJ, Gibson BW. Magnetic Bead-Based Workflow for Sensitive and Streamlined Cell Surface Proteomics. J Proteome Res 2024; 23:618-632. [PMID: 38226771 DOI: 10.1021/acs.jproteome.3c00432] [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: 01/17/2024]
Abstract
Cell surface proteins represent an important class of molecules for therapeutic targeting and cellular phenotyping. However, their enrichment and detection via mass spectrometry-based proteomics remains challenging due to low abundance, post-translational modifications, hydrophobic regions, and processing requirements. To improve their identification, we optimized a Cell-Surface Capture (CSC) workflow that incorporates magnetic bead-based processing. Using this approach, we evaluated labeling conditions (biotin tags and catalysts), enrichment specificity (streptavidin beads), missed cleavages (lysis buffers), nonenzymatic deamidation (digestion and deglycosylation buffers), and data acquisition methods (DDA, DIA, and TMT). Our findings support the use of alkoxyamine-PEG4-biotin plus 5-methoxy-anthranilic acid, SDS/urea-based lysis buffers, single-pot solid-phased-enhanced sample-preparation (SP3), and streptavidin magnetic beads for maximal surfaceome coverage. Notably, with semiautomated processing, sample handling was simplified and between ∼600 and 900 cell surface N-glycoproteins were identified from only 25-200 μg of HeLa protein. CSC also revealed significant differences between in vitro monolayer cultures and in vivo tumor xenografts of murine CT26 colon adenocarcinoma samples that may aid in target identification for drug development. Overall, the improved efficiency of the magnetic-based CSC workflow identified both previously reported and novel N-glycosites with less material and high reproducibility that should help advance the field of surfaceomics by providing insight in cellular phenotypes not previously documented.
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Affiliation(s)
| | - Paolo Manzanillo
- Inflammation, Amgen Research, South San Francisco, California 94080, United States
| | - Han-Yin Yang
- Discovery Proteomics, Amgen Research, South San Francisco, California 94080, United States
| | - Rucha V Modak
- Inflammation, Amgen Research, South San Francisco, California 94080, United States
| | - Matthew J Rardin
- Discovery Proteomics, Amgen Research, South San Francisco, California 94080, United States
| | - Bradford W Gibson
- Discovery Proteomics, Amgen Research, South San Francisco, California 94080, United States
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7
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Xu X, Yin K, Xu S, Wang Z, Wu R. Mass spectrometry-based methods for investigating the dynamics and organization of the surfaceome: exploring potential clinical implications. Expert Rev Proteomics 2024; 21:99-113. [PMID: 38300624 PMCID: PMC10928381 DOI: 10.1080/14789450.2024.2314148] [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: 11/22/2023] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
INTRODUCTION Cell-surface proteins are extremely important for many cellular events, such as regulating cell-cell communication and cell-matrix interactions. Aberrant alterations in surface protein expression, modification (especially glycosylation), and interactions are directly related to human diseases. Systematic investigation of surface proteins advances our understanding of protein functions, cellular activities, and disease mechanisms, which will lead to identifying surface proteins as disease biomarkers and drug targets. AREAS COVERED In this review, we summarize mass spectrometry (MS)-based proteomics methods for global analysis of cell-surface proteins. Then, investigations of the dynamics of surface proteins are discussed. Furthermore, we summarize the studies for the surfaceome interaction networks. Additionally, biological applications of MS-based surfaceome analysis are included, particularly highlighting the significance in biomarker identification, drug development, and immunotherapies. EXPERT OPINION Modern MS-based proteomics provides an opportunity to systematically characterize proteins. However, due to the complexity of cell-surface proteins, the labor-intensive workflow, and the limit of clinical samples, comprehensive characterization of the surfaceome remains extraordinarily challenging, especially in clinical studies. Developing and optimizing surfaceome enrichment methods and utilizing automated sample preparation workflow can expand the applications of surfaceome analysis and deepen our understanding of the functions of cell-surface proteins.
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Affiliation(s)
- Xing Xu
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Kejun Yin
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Senhan Xu
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Zeyu Wang
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Ronghu Wu
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
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Yan T, Boatner LM, Cui L, Tontonoz PJ, Backus KM. Defining the Cell Surface Cysteinome Using Two-Step Enrichment Proteomics. JACS AU 2023; 3:3506-3523. [PMID: 38155636 PMCID: PMC10751780 DOI: 10.1021/jacsau.3c00707] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 11/17/2023] [Accepted: 11/20/2023] [Indexed: 12/30/2023]
Abstract
The plasma membrane proteome is a rich resource of functionally important and therapeutically relevant protein targets. Distinguished by high hydrophobicity, heavy glycosylation, disulfide-rich sequences, and low overall abundance, the cell surface proteome remains undersampled in established proteomic pipelines, including our own cysteine chemoproteomics platforms. Here, we paired cell surface glycoprotein capture with cysteine chemoproteomics to establish a two-stage enrichment method that enables chemoproteomic profiling of cell Surface Cysteinome. Our "Cys-Surf" platform captures >2,800 total membrane protein cysteines in 1,046 proteins, including 1,907 residues not previously captured by bulk proteomic analysis. By pairing Cys-Surf with an isotopic chemoproteomic readout, we uncovered 821 total ligandable cysteines, including known and novel sites. Cys-Surf also robustly delineates redox-sensitive cysteines, including cysteines prone to activation-dependent changes to cysteine oxidation state and residues sensitive to addition of exogenous reductants. Exemplifying the capacity of Cys-Surf to delineate functionally important cysteines, we identified a redox sensitive cysteine in the low-density lipoprotein receptor (LDLR) that impacts both the protein localization and uptake of low-density lipoprotein (LDL) particles. Taken together, the Cys-Surf platform, distinguished by its two-stage enrichment paradigm, represents a tailored approach to delineate the functional and therapeutic potential of the plasma membrane cysteinome.
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Affiliation(s)
- Tianyang Yan
- Department
of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, United States
- Department
of Chemistry and Biochemistry, UCLA, Los Angeles, California 90095, United States
| | - Lisa M. Boatner
- Department
of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, United States
- Department
of Chemistry and Biochemistry, UCLA, Los Angeles, California 90095, United States
| | - Liujuan Cui
- Department
of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, United States
- Department
of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, Los Angeles, California 90095, United States
| | - Peter J. Tontonoz
- Department
of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, United States
- Department
of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles, Los Angeles, California 90095, United States
| | - Keriann M. Backus
- Department
of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, United States
- Department
of Chemistry and Biochemistry, UCLA, Los Angeles, California 90095, United States
- DOE
Institute for Genomics and Proteomics, UCLA, Los Angeles, California 90095, United States
- Jonsson
Comprehensive Cancer Center, UCLA, Los Angeles, California 90095, United States
- Eli
and Edythe
Broad Center of Regenerative Medicine and Stem Cell Research, UCLA, Los Angeles, California 90095, United States
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9
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Mahoney SA, Dey AK, Basisty N, Herman AB. Identification and functional analysis of senescent cells in the cardiovascular system using omics approaches. Am J Physiol Heart Circ Physiol 2023; 325:H1039-H1058. [PMID: 37656130 PMCID: PMC10908411 DOI: 10.1152/ajpheart.00352.2023] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 08/28/2023] [Accepted: 08/28/2023] [Indexed: 09/02/2023]
Abstract
Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide, and senescent cells have emerged as key contributors to its pathogenesis. Senescent cells exhibit cell cycle arrest and secrete a range of proinflammatory factors, termed the senescence-associated secretory phenotype (SASP), which promotes tissue dysfunction and exacerbates CVD progression. Omics technologies, specifically transcriptomics and proteomics, offer powerful tools to uncover and define the molecular signatures of senescent cells in cardiovascular tissue. By analyzing the comprehensive molecular profiles of senescent cells, omics approaches can identify specific genetic alterations, gene expression patterns, protein abundances, and metabolite levels associated with senescence in CVD. These omics-based discoveries provide insights into the mechanisms underlying senescence-induced cardiovascular damage, facilitating the development of novel diagnostic biomarkers and therapeutic targets. Furthermore, integration of multiple omics data sets enables a systems-level understanding of senescence in CVD, paving the way for precision medicine approaches to prevent or treat cardiovascular aging and its associated complications.
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Affiliation(s)
- Sophia A Mahoney
- Department of Integrative Physiology, University of Colorado at Boulder, Boulder, Colorado, United States
| | - Amit K Dey
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States
| | - Nathan Basisty
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States
| | - Allison B Herman
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States
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10
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Yan T, Boatner LM, Cui L, Tontonoz P, Backus KM. Defining the Cell Surface Cysteinome using Two-step Enrichment Proteomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.17.562832. [PMID: 37904933 PMCID: PMC10614875 DOI: 10.1101/2023.10.17.562832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
The plasma membrane proteome is a rich resource of functional and therapeutically relevant protein targets. Distinguished by high hydrophobicity, heavy glycosylation, disulfide-rich sequences, and low overall abundance, the cell surface proteome remains undersampled in established proteomic pipelines, including our own cysteine chemoproteomics platforms. Here we paired cell surface glycoprotein capture with cysteine chemoproteomics to establish a two-stage enrichment method that enables chemoproteomic profiling of cell Surface Cysteinome. Our "Cys-Surf" platform captures >2,800 total membrane protein cysteines in 1,046 proteins, including 1,907 residues not previously captured by bulk proteomic analysis. By pairing Cys-Surf with an isotopic chemoproteomic readout, we uncovered 821 total ligandable cysteines, including known and novel sites. Cys-Surf also robustly delineates redox-sensitive cysteines, including cysteines prone to activation-dependent changes to cysteine oxidation state and residues sensitive to addition of exogenous reductants. Exemplifying the capacity of Cys-Surf to delineate functionally important cysteines, we identified a redox sensitive cysteine in the low-density lipoprotein receptor (LDLR) that impacts both the protein localization and uptake of LDL particles. Taken together, the Cys-Surf platform, distinguished by its two-stage enrichment paradigm, represents a tailored approach to delineate the functional and therapeutic potential of the plasma membrane cysteinome.
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Affiliation(s)
- Tianyang Yan
- Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095 (USA)
- Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA 90095 (USA)
| | - Lisa M. Boatner
- Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095 (USA)
- Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA 90095 (USA)
| | - Liujuan Cui
- Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095 (USA)
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles; Los Angeles, CA 90095, USA
| | - Peter Tontonoz
- Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095 (USA)
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, UCLA, Los Angeles; Los Angeles, CA 90095, USA
| | - Keriann M. Backus
- Department of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095 (USA)
- Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA 90095 (USA)
- DOE Institute for Genomics and Proteomics, UCLA, Los Angeles, CA 90095 (USA)
- Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA 90095 (USA)
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, UCLA, Los Angeles, CA 90095 (USA)
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11
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Dey AK, Banarjee R, Boroumand M, Rutherford DV, Strassheim Q, Nyunt T, Olinger B, Basisty N. Translating Senotherapeutic Interventions into the Clinic with Emerging Proteomic Technologies. BIOLOGY 2023; 12:1301. [PMID: 37887011 PMCID: PMC10604147 DOI: 10.3390/biology12101301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 10/28/2023]
Abstract
Cellular senescence is a state of irreversible growth arrest with profound phenotypic changes, including the senescence-associated secretory phenotype (SASP). Senescent cell accumulation contributes to aging and many pathologies including chronic inflammation, type 2 diabetes, cancer, and neurodegeneration. Targeted removal of senescent cells in preclinical models promotes health and longevity, suggesting that the selective elimination of senescent cells is a promising therapeutic approach for mitigating a myriad of age-related pathologies in humans. However, moving senescence-targeting drugs (senotherapeutics) into the clinic will require therapeutic targets and biomarkers, fueled by an improved understanding of the complex and dynamic biology of senescent cell populations and their molecular profiles, as well as the mechanisms underlying the emergence and maintenance of senescence cells and the SASP. Advances in mass spectrometry-based proteomic technologies and workflows have the potential to address these needs. Here, we review the state of translational senescence research and how proteomic approaches have added to our knowledge of senescence biology to date. Further, we lay out a roadmap from fundamental biological discovery to the clinical translation of senotherapeutic approaches through the development and application of emerging proteomic technologies, including targeted and untargeted proteomic approaches, bottom-up and top-down methods, stability proteomics, and surfaceomics. These technologies are integral for probing the cellular composition and dynamics of senescent cells and, ultimately, the development of senotype-specific biomarkers and senotherapeutics (senolytics and senomorphics). This review aims to highlight emerging areas and applications of proteomics that will aid in exploring new senescent cell biology and the future translation of senotherapeutics.
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Affiliation(s)
| | | | | | | | | | | | | | - Nathan Basisty
- Translational Geroproteomics Unit, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA; (A.K.D.); (R.B.); (M.B.); (D.V.R.); (Q.S.); (T.N.); (B.O.)
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12
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Frey K, Rohrer L, Frommelt F, Ringwald M, Potapenko A, Goetze S, von Eckardstein A, Wollscheid B. Mapping the dynamic high-density lipoprotein synapse. Atherosclerosis 2023; 380:117200. [PMID: 37619408 DOI: 10.1016/j.atherosclerosis.2023.117200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 07/27/2023] [Accepted: 07/28/2023] [Indexed: 08/26/2023]
Abstract
BACKGROUND AND AIMS Heterogeneous high-density lipoprotein (HDL) particles, which can contain hundreds of proteins, affect human health and disease through dynamic molecular interactions with cell surface proteins. How HDL mediates its long-range signaling functions and interactions with various cell types is largely unknown. Due to the complexity of HDL, we hypothesize that multiple receptors engage with HDL particles resulting in condition-dependent receptor-HDL interaction clusters at the cell surface. METHODS Here we used the mass spectrometry-based and light-controlled proximity labeling strategy LUX-MS in a discovery-driven manner to decode HDL-receptor interactions. RESULTS Surfaceome nanoscale organization analysis of hepatocytes and endothelial cells using LUX-MS revealed that the previously known HDL-binding protein scavenger receptor B1 (SCRB1) is embedded in a cell surface protein community, which we term HDL synapse. Modulating the endothelial HDL synapse, composed of 60 proteins, by silencing individual members, showed that the HDL synapse can be assembled in the absence of SCRB1 and that the members are interlinked. The aminopeptidase N (AMPN) (also known as CD13) was identified as an HDL synapse member that directly influences HDL uptake into the primary human aortic endothelial cells (HAECs). CONCLUSIONS Our data indicate that preformed cell surface residing protein complexes modulate HDL function and suggest new theragnostic opportunities.
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Affiliation(s)
- Kathrin Frey
- Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland; Institute for Clinical Chemistry University Hospital Zurich, Zurich, Switzerland.
| | - Lucia Rohrer
- Institute for Clinical Chemistry University Hospital Zurich, Zurich, Switzerland
| | - Fabian Frommelt
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
| | - Meret Ringwald
- Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Anton Potapenko
- Institute for Clinical Chemistry University Hospital Zurich, Zurich, Switzerland
| | - Sandra Goetze
- Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland; ETH PHRT Swiss Multi-Omics Center (SMOC), Switzerland
| | | | - Bernd Wollscheid
- Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland; ETH PHRT Swiss Multi-Omics Center (SMOC), Switzerland.
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13
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de Jong E, Kocer A. Current Methods for Identifying Plasma Membrane Proteins as Cancer Biomarkers. MEMBRANES 2023; 13:409. [PMID: 37103836 PMCID: PMC10142483 DOI: 10.3390/membranes13040409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/31/2023] [Accepted: 04/01/2023] [Indexed: 06/19/2023]
Abstract
Plasma membrane proteins are a special class of biomolecules present on the cellular membrane. They provide the transport of ions, small molecules, and water in response to internal and external signals, define a cell's immunological identity, and facilitate intra- and intercellular communication. Since they are vital to almost all cellular functions, their mutants, or aberrant expression is linked to many diseases, including cancer, where they are a part of cancer cell-specific molecular signatures and phenotypes. In addition, their surface-exposed domains make them exciting biomarkers for targeting by imaging agents and drugs. This review looks at the challenges in identifying cancer-related cell membrane proteins and the current methodologies that solve most of the challenges. We classified the methodologies as biased, i.e., search cells for the presence of already known membrane proteins. Second, we discuss the unbiased methods that can identify proteins without prior knowledge of what they are. Finally, we discuss the potential impact of membrane proteins on the early detection and treatment of cancer.
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14
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Tuomivaara ST, Teo CF, Jan YN, Jan LY, Wiita AP. SLAPSHOT reveals rapid dynamics of extracellularly exposed proteome in response to calcium-activated plasma membrane phospholipid scrambling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.26.534250. [PMID: 36993417 PMCID: PMC10055316 DOI: 10.1101/2023.03.26.534250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
To facilitate our understanding of the often rapid and nuanced dynamics of extracellularly exposed proteomes during signaling events, it is important to devise robust workflows affording fast time resolution without biases and confounding factors. Here, we present Surface-exposed protein Labeling using PeroxidaSe, H2O2, and Tyramide-derivative (SLAPSHOT), to label extracellularly exposed proteins in a rapid, sensitive, and specific manner, while preserving cellular integrity. This experimentally simple and flexible method utilizes recombinant soluble APEX2 peroxidase that is applied to cells, thus circumventing biological perturbations, tedious engineering of tools and cells, and labeling biases. APEX2 neither requires metal cations for activity nor contains disulfide bonds, conferring versatility for a wide spectrum of experimental setups. We applied SLAPSHOT followed by quantitative mass spectrometry-based proteomics analysis to examine the immediate and extensive cell surface expansion and ensuing restorative membrane shedding upon the activation of Scott syndrome-linked TMEM16F, a ubiquitously expressed calcium-dependent phospholipid scramblase and ion channel. Time-course data ranging from one to thirty minutes of calcium stimulation using wild-type and TMEM16F deficient cells revealed intricate co-regulation of known protein families, including those in the integrin and ICAM families. Crucially, we identified proteins that are known to reside in intracellular organelles, including ER, as occupants of the freshly deposited membrane, and mitovesicles as an abundant component and contributor to the extracellularly exposed proteome. Our study not only provides the first accounts of the immediate consequences of calcium signaling on the extracellularly exposed proteome, but also presents a blueprint for the application of SLAPSHOT as a general approach for monitoring extracellularly exposed protein dynamics.
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Affiliation(s)
- Sami T. Tuomivaara
- Department of Laboratory Medicine, University of California, San Francisco, CA
| | - Chin Fen Teo
- Howard Hughes Medical Institute, University of California, San Francisco, CA
| | - Yuh Nung Jan
- Howard Hughes Medical Institute, University of California, San Francisco, CA
- Department of Physiology, University of California, San Francisco, CA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA
| | - Lily Y. Jan
- Howard Hughes Medical Institute, University of California, San Francisco, CA
- Department of Physiology, University of California, San Francisco, CA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA
| | - Arun P. Wiita
- Department of Laboratory Medicine, University of California, San Francisco, CA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA
- Chan Zuckerberg Biohub, San Francisco, CA
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15
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Sun F, Suttapitugsakul S, Wu R. Systematic characterization of extracellular glycoproteins using mass spectrometry. MASS SPECTROMETRY REVIEWS 2023; 42:519-545. [PMID: 34047389 PMCID: PMC8627532 DOI: 10.1002/mas.21708] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 05/10/2021] [Accepted: 05/13/2021] [Indexed: 05/13/2023]
Abstract
Surface and secreted glycoproteins are essential to cells and regulate many extracellular events. Because of the diversity of glycans, the low abundance of many glycoproteins, and the complexity of biological samples, a system-wide investigation of extracellular glycoproteins is a daunting task. With the development of modern mass spectrometry (MS)-based proteomics, comprehensive analysis of different protein modifications including glycosylation has advanced dramatically. This review focuses on the investigation of extracellular glycoproteins using MS-based proteomics. We first discuss the methods for selectively enriching surface glycoproteins and investigating protein interactions on the cell surface, followed by the application of MS-based proteomics for surface glycoprotein dynamics analysis and biomarker discovery. We then summarize the methods to comprehensively study secreted glycoproteins by integrating various enrichment approaches with MS-based proteomics and their applications for global analysis of secreted glycoproteins in different biological samples. Collectively, MS significantly expands our knowledge of extracellular glycoproteins and enables us to identify extracellular glycoproteins as potential biomarkers for disease detection and drug targets for disease treatment.
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Affiliation(s)
| | | | - Ronghu Wu
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
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16
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Berg Luecke L, Waas M, Littrell J, Wojtkiewicz M, Castro C, Burkovetskaya M, Schuette EN, Buchberger AR, Churko JM, Chalise U, Waknitz M, Konfrst S, Teuben R, Morrissette-McAlmon J, Mahr C, Anderson DR, Boheler KR, Gundry RL. Surfaceome mapping of primary human heart cells with CellSurfer uncovers cardiomyocyte surface protein LSMEM2 and proteome dynamics in failing hearts. NATURE CARDIOVASCULAR RESEARCH 2023; 2:76-95. [PMID: 36950336 PMCID: PMC10030153 DOI: 10.1038/s44161-022-00200-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 11/29/2022] [Indexed: 01/19/2023]
Abstract
Cardiac cell surface proteins are drug targets and useful biomarkers for discriminating among cellular phenotypes and disease states. Here we developed an analytical platform, CellSurfer, that enables quantitative cell surface proteome (surfaceome) profiling of cells present in limited quantities, and we apply it to isolated primary human heart cells. We report experimental evidence of surface localization and extracellular domains for 1,144 N-glycoproteins, including cell-type-restricted and region-restricted glycoproteins. We identified a surface protein specific for healthy cardiomyocytes, LSMEM2, and validated an anti-LSMEM2 monoclonal antibody for flow cytometry and imaging. Surfaceome comparisons among pluripotent stem cell derivatives and their primary counterparts highlighted important differences with direct implications for drug screening and disease modeling. Finally, 20% of cell surface proteins, including LSMEM2, were differentially abundant between failing and non-failing cardiomyocytes. These results represent a rich resource to advance development of cell type and organ-specific targets for drug delivery, disease modeling, immunophenotyping and in vivo imaging.
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Affiliation(s)
- Linda Berg Luecke
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI USA
| | - Matthew Waas
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
- Present Address: Princess Margaret Cancer Centre, University Health Network, Toronto, ON Canada
| | - Jack Littrell
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
| | - Melinda Wojtkiewicz
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
| | - Chase Castro
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
| | - Maria Burkovetskaya
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
| | - Erin N. Schuette
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
| | - Amanda Rae Buchberger
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI USA
- Present Address: Department of Chemistry, University of Wisconsin-Madison, Madison, WI USA
| | - Jared M. Churko
- Department of Cellular and Molecular Medicine and Sarver Molecular Cardiovascular Research Program, University of Arizona, Tucson, AZ USA
| | - Upendra Chalise
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
| | - Michelle Waknitz
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
| | - Shelby Konfrst
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
| | - Roald Teuben
- Department of Biomedical Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD USA
| | - Justin Morrissette-McAlmon
- Department of Biomedical Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD USA
| | - Claudius Mahr
- Department of Mechanical Engineering, Division of Cardiology, University of Washington, Seattle, WA USA
| | - Daniel R. Anderson
- Division of Cardiovascular Medicine, University of Nebraska Medical Center, Omaha, NE USA
| | - Kenneth R. Boheler
- Department of Biomedical Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD USA
- Department of Medicine, Division of Cardiology, The Johns Hopkins University, Baltimore, MD USA
| | - Rebekah L. Gundry
- CardiOmics Program, Center for Heart and Vascular Research and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE USA
- Division of Cardiovascular Medicine, University of Nebraska Medical Center, Omaha, NE USA
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17
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Watson J, Ferguson HR, Brady RM, Ferguson J, Fullwood P, Mo H, Bexley KH, Knight D, Howell G, Schwartz JM, Smith MP, Francavilla C. Spatially resolved phosphoproteomics reveals fibroblast growth factor receptor recycling-driven regulation of autophagy and survival. Nat Commun 2022; 13:6589. [PMID: 36329028 DOI: 10.1101/2021.01.17.427038] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 10/19/2022] [Indexed: 05/26/2023] Open
Abstract
Receptor Tyrosine Kinase (RTK) endocytosis-dependent signalling drives cell proliferation and motility during development and adult homeostasis, but is dysregulated in diseases, including cancer. The recruitment of RTK signalling partners during endocytosis, specifically during recycling to the plasma membrane, is still unknown. Focusing on Fibroblast Growth Factor Receptor 2b (FGFR2b) recycling, we reveal FGFR signalling partners proximal to recycling endosomes by developing a Spatially Resolved Phosphoproteomics (SRP) approach based on APEX2-driven biotinylation followed by phosphorylated peptides enrichment. Combining this with traditional phosphoproteomics, bioinformatics, and targeted assays, we uncover that FGFR2b stimulated by its recycling ligand FGF10 activates mTOR-dependent signalling and ULK1 at the recycling endosomes, leading to autophagy suppression and cell survival. This adds to the growing importance of RTK recycling in orchestrating cell fate and suggests a therapeutically targetable vulnerability in ligand-responsive cancer cells. Integrating SRP with other systems biology approaches provides a powerful tool to spatially resolve cellular signalling.
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Affiliation(s)
- Joanne Watson
- Division of Evolution, Infection and Genomics, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Harriet R Ferguson
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Rosie M Brady
- Division of Cancer Sciences, School of Medical Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, Manchester, M20 4GJ, UK
| | - Jennifer Ferguson
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Paul Fullwood
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Hanyi Mo
- Division of Evolution, Infection and Genomics, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Katherine H Bexley
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - David Knight
- Bio-MS Core Research Facility, FBMH, The University of Manchester, M139PT, Manchester, UK
| | - Gareth Howell
- Flow Cytometry Core Research Facility, FBMH, The University of Manchester, M139PT, Manchester, UK
| | - Jean-Marc Schwartz
- Division of Evolution, Infection and Genomics, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Michael P Smith
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK.
| | - Chiara Francavilla
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK.
- Manchester Breast Centre, Manchester Cancer Research Centre, The University of Manchester, M139PT, Manchester, UK.
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18
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Pauwels J, Fijałkowska D, Eyckerman S, Gevaert K. Mass spectrometry and the cellular surfaceome. MASS SPECTROMETRY REVIEWS 2022; 41:804-841. [PMID: 33655572 DOI: 10.1002/mas.21690] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 02/05/2021] [Accepted: 02/09/2021] [Indexed: 06/12/2023]
Abstract
The collection of exposed plasma membrane proteins, collectively termed the surfaceome, is involved in multiple vital cellular processes, such as the communication of cells with their surroundings and the regulation of transport across the lipid bilayer. The surfaceome also plays key roles in the immune system by recognizing and presenting antigens, with its possible malfunctioning linked to disease. Surface proteins have long been explored as potential cell markers, disease biomarkers, and therapeutic drug targets. Despite its importance, a detailed study of the surfaceome continues to pose major challenges for mass spectrometry-driven proteomics due to the inherent biophysical characteristics of surface proteins. Their inefficient extraction from hydrophobic membranes to an aqueous medium and their lower abundance compared to intracellular proteins hamper the analysis of surface proteins, which are therefore usually underrepresented in proteomic datasets. To tackle such problems, several innovative analytical methodologies have been developed. This review aims at providing an extensive overview of the different methods for surfaceome analysis, with respective considerations for downstream mass spectrometry-based proteomics.
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Affiliation(s)
- Jarne Pauwels
- VIB Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | | | - Sven Eyckerman
- VIB Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Kris Gevaert
- VIB Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
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19
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Decoding Functional High-Density Lipoprotein Particle Surfaceome Interactions. Int J Mol Sci 2022; 23:ijms23169506. [PMID: 36012766 PMCID: PMC9409371 DOI: 10.3390/ijms23169506] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/10/2022] [Accepted: 08/15/2022] [Indexed: 11/17/2022] Open
Abstract
High-density lipoprotein (HDL) is a mixture of complex particles mediating reverse cholesterol transport (RCT) and several cytoprotective activities. Despite its relevance for human health, many aspects of HDL-mediated lipid trafficking and cellular signaling remain elusive at the molecular level. During HDL’s journey throughout the body, its functions are mediated through interactions with cell surface receptors on different cell types. To characterize and better understand the functional interplay between HDL particles and tissue, we analyzed the surfaceome-residing receptor neighborhoods with which HDL potentially interacts. We applied a combination of chemoproteomic technologies including automated cell surface capturing (auto-CSC) and HATRIC-based ligand–receptor capturing (HATRIC-LRC) on four different cellular model systems mimicking tissues relevant for RCT. The surfaceome analysis of EA.hy926, HEPG2, foam cells, and human aortic endothelial cells (HAECs) revealed the main currently known HDL receptor scavenger receptor B1 (SCRB1), as well as 155 shared cell surface receptors representing potential HDL interaction candidates. Since vascular endothelial growth factor A (VEGF-A) was recently found as a regulatory factor of transendothelial transport of HDL, we next analyzed the VEGF-modulated surfaceome of HAEC using the auto-CSC technology. VEGF-A treatment led to the remodeling of the surfaceome of HAEC cells, including the previously reported higher surfaceome abundance of SCRB1. In total, 165 additional receptors were found on HAEC upon VEGF-A treatment representing SCRB1 co-regulated receptors potentially involved in HDL function. Using the HATRIC-LRC technology on human endothelial cells, we specifically aimed for the identification of other bona fide (co-)receptors of HDL beyond SCRB1. HATRIC-LRC enabled, next to SCRB1, the identification of the receptor tyrosine-protein kinase Mer (MERTK). Through RNA interference, we revealed its contribution to endothelial HDL binding and uptake. Furthermore, subsequent proximity ligation assays (PLAs) demonstrated the spatial vicinity of MERTK and SCRB1 on the endothelial cell surface. The data shown provide direct evidence for a complex and dynamic HDL receptome and that receptor nanoscale organization may influence binding and uptake of HDL.
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20
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Kuhlmann L, Govindarajan M, Mejia-Guerrero S, Ignatchenko V, Liu LY, Grünwald BT, Cruickshank J, Berman H, Khokha R, Kislinger T. Glycoproteomics Identifies Plexin-B3 as a Targetable Cell Surface Protein Required for the Growth and Invasion of Triple-Negative Breast Cancer Cells. J Proteome Res 2022; 21:2224-2236. [PMID: 35981243 PMCID: PMC9442790 DOI: 10.1021/acs.jproteome.2c00332] [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] [Indexed: 11/30/2022]
Abstract
![]()
Driven by the lack of targeted therapies, triple-negative
breast cancers
(TNBCs) have the worst overall survival of all breast cancer subtypes.
Considering that cell surface proteins are favorable drug targets
and are predominantly glycosylated, glycoproteome profiling has significant
potential to facilitate the identification of much-needed drug targets
for TNBCs. Here, we performed N-glycoproteomics on
six TNBCs and five normal control (NC) cell lines using hydrazide-based
enrichment. Quantitative proteomics and integrative data mining led
to the discovery of Plexin-B3 (PLXNB3), a previously undescribed TNBC-enriched
cell surface protein. Furthermore, siRNA knockdown and CRISPR-Cas9
editing of in vitro and in vivo models show that PLXNB3 is required
for TNBC cell line growth, invasion, and migration. Altogether, we
provide insights into N-glycoproteome remodeling
associated with TNBCs and functional evaluation of an extracted target,
which indicate the surface protein PLXNB3 as a potential therapeutic
target for TNBCs.
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Affiliation(s)
- Laura Kuhlmann
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario M5G 1L7, Canada
| | - Meinusha Govindarajan
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario M5G 1L7, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5G 1L7, Canada
| | - Salvador Mejia-Guerrero
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario M5G 1L7, Canada
| | - Vladimir Ignatchenko
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario M5G 1L7, Canada
| | - Lydia Y Liu
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario M5G 1L7, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5G 1L7, Canada
| | - Barbara T Grünwald
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario M5G 1L7, Canada
| | - Jennifer Cruickshank
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario M5G 1L7, Canada
| | - Hal Berman
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario M5G 1L7, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario M5S 1A8, Canada
| | - Rama Khokha
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario M5G 1L7, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5G 1L7, Canada
| | - Thomas Kislinger
- Princess Margaret Cancer Center, University Health Network, Toronto, Ontario M5G 1L7, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5G 1L7, Canada
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21
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Ferguson ID, Patiño-Escobar B, Tuomivaara ST, Lin YHT, Nix MA, Leung KK, Kasap C, Ramos E, Nieves Vasquez W, Talbot A, Hale M, Naik A, Kishishita A, Choudhry P, Lopez-Girona A, Miao W, Wong SW, Wolf JL, Martin TG, Shah N, Vandenberg S, Prakash S, Besse L, Driessen C, Posey AD, Mullins RD, Eyquem J, Wells JA, Wiita AP. The surfaceome of multiple myeloma cells suggests potential immunotherapeutic strategies and protein markers of drug resistance. Nat Commun 2022; 13:4121. [PMID: 35840578 PMCID: PMC9287322 DOI: 10.1038/s41467-022-31810-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 06/30/2022] [Indexed: 12/21/2022] Open
Abstract
The myeloma surface proteome (surfaceome) determines tumor interaction with the microenvironment and serves as an emerging arena for therapeutic development. Here, we use glycoprotein capture proteomics to define the myeloma surfaceome at baseline, in drug resistance, and in response to acute drug treatment. We provide a scoring system for surface antigens and identify CCR10 as a promising target in this disease expressed widely on malignant plasma cells. We engineer proof-of-principle chimeric antigen receptor (CAR) T-cells targeting CCR10 using its natural ligand CCL27. In myeloma models we identify proteins that could serve as markers of resistance to bortezomib and lenalidomide, including CD53, CD10, EVI2B, and CD33. We find that acute lenalidomide treatment increases activity of MUC1-targeting CAR-T cells through antigen upregulation. Finally, we develop a miniaturized surface proteomic protocol for profiling primary plasma cell samples with low inputs. These approaches and datasets may contribute to the biological, therapeutic, and diagnostic understanding of myeloma.
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Affiliation(s)
- Ian D Ferguson
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- Cancer Biology Program, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Sami T Tuomivaara
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Yu-Hsiu T Lin
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Matthew A Nix
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Kevin K Leung
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
| | - Corynn Kasap
- Department of Medicine, Division of Hematology/Oncology, University of California, San Francisco, CA, USA
| | - Emilio Ramos
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Wilson Nieves Vasquez
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Alexis Talbot
- Department of Medicine, Division of Hematology/Oncology, University of California, San Francisco, CA, USA
- INSERM U976, Institut de Recherche Saint Louis, Université de Paris, Paris, France
| | - Martina Hale
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Akul Naik
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Audrey Kishishita
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- Program in Chemistry and Chemical Biology, University of California, San Francisco, CA, USA
| | - Priya Choudhry
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | | | - Weili Miao
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Sandy W Wong
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
| | - Jeffrey L Wolf
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
| | - Thomas G Martin
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
| | - Nina Shah
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
| | - Scott Vandenberg
- Department of Pathology, University of California, San Francisco, CA, USA
| | - Sonam Prakash
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Lenka Besse
- Department of Medical Oncology and Hematology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Christoph Driessen
- Department of Medical Oncology and Hematology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Avery D Posey
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - R Dyche Mullins
- Department of Medicine, Division of Hematology/Oncology, University of California, San Francisco, CA, USA
- Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Justin Eyquem
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Gladstone Institute for Genomic Immunology, San Francisco, CA, USA
| | - James A Wells
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
| | - Arun P Wiita
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA.
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22
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Landscape of surfaceome and endocytome in human glioma is divergent and depends on cellular spatial organization. Proc Natl Acad Sci U S A 2022; 119:2114456119. [PMID: 35217608 PMCID: PMC8892282 DOI: 10.1073/pnas.2114456119] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/26/2021] [Indexed: 11/18/2022] Open
Abstract
Cancer immunotherapies, including checkpoint inhibitor blocking antibodies and antibody drug conjugates, currently revolutionize cancer treatment. However, a remaining challenge is the identification of tumor surfaceome (TS) targets for the design of more rational, individualized treatments. We have developed a procedure for unbiased mapping of TS targets in glioblastoma (GBM), i.e., the most common primary malignant brain tumor that remains among the most aggressive forms of cancer, and for which attempts to find effective treatments have failed so far. The present study provides additional layers of understanding fundamental to the future development of immunotherapy strategies, as well as procedures for proteomics-based target identification aimed at a better understanding of how to harness the TS for personalized immunotherapy. Therapeutic strategies directed at the tumor surfaceome (TS), including checkpoint inhibitor blocking antibodies, antibody drug conjugates (ADCs), and chimeric antigen receptor T (CAR-T) cells, provide a new armament to fight cancer. However, a remaining bottleneck is the lack of strategies to comprehensively interrogate patient tumors for potential TS targets. Here, we have developed a platform (tumor surfaceome mapping [TS-MAP]) integrated with a newly curated TS classifier (SURFME) that allows profiling of primary 3D cultures and intact patient glioma tumors with preserved tissue architecture. Moreover, TS-MAP specifically identifies proteins capable of endocytosis as tractable targets for ADCs and other modalities requiring toxic payload internalization. In high-grade gliomas that remain among the most aggressive forms of cancer, we show that cellular spatial organization (2D vs. 3D) fundamentally transforms the surfaceome and endocytome (e.g., integrins, proteoglycans, semaphorins, and cancer stem cell markers) with general implications for target screening approaches, as exemplified by an ADC targeting EGFR. The TS-MAP platform was further applied to profile the surfaceome and endocytome landscape in a cohort of freshly resected gliomas. We found a highly diverse TS repertoire between patient tumors, not directly associated with grade and histology, which highlights the need for individualized approaches. Our data provide additional layers of understanding fundamental to the future development of immunotherapy strategies, as well as procedures for proteomics-based target identification and selection. The TS-MAP platform should be widely applicable in efforts aiming at a better understanding of how to harness the TS for personalized immunotherapy.
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23
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Müller M, Gräbnitz F, Barandun N, Shen Y, Wendt F, Steiner SN, Severin Y, Vetterli SU, Mondal M, Prudent JR, Hofmann R, van Oostrum M, Sarott RC, Nesvizhskii AI, Carreira EM, Bode JW, Snijder B, Robinson JA, Loessner MJ, Oxenius A, Wollscheid B. Light-mediated discovery of surfaceome nanoscale organization and intercellular receptor interaction networks. Nat Commun 2021; 12:7036. [PMID: 34857745 PMCID: PMC8639842 DOI: 10.1038/s41467-021-27280-x] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 11/09/2021] [Indexed: 12/18/2022] Open
Abstract
The molecular nanoscale organization of the surfaceome is a fundamental regulator of cellular signaling in health and disease. Technologies for mapping the spatial relationships of cell surface receptors and their extracellular signaling synapses would unlock theranostic opportunities to target protein communities and the possibility to engineer extracellular signaling. Here, we develop an optoproteomic technology termed LUX-MS that enables the targeted elucidation of acute protein interactions on and in between living cells using light-controlled singlet oxygen generators (SOG). By using SOG-coupled antibodies, small molecule drugs, biologics and intact viral particles, we demonstrate the ability of LUX-MS to decode ligand receptor interactions across organisms and to discover surfaceome receptor nanoscale organization with direct implications for drug action. Furthermore, by coupling SOG to antigens we achieved light-controlled molecular mapping of intercellular signaling within functional immune synapses between antigen-presenting cells and CD8+ T cells providing insights into T cell activation with spatiotemporal specificity. LUX-MS based decoding of surfaceome signaling architectures thereby provides a molecular framework for the rational development of theranostic strategies. The spatial organization of cell surface receptors is critical for cell signaling and drug action. Here, the authors develop an optoproteomic method for mapping surface protein interactions, revealing cellular responses to antibodies, drugs and viral particles as well as immunosynapse signaling events.
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Affiliation(s)
- Maik Müller
- Department of Health Sciences and Technology (D-HEST), ETH Zurich, Institute of Translational Medicine (ITM), Zurich, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Fabienne Gräbnitz
- Department of Biology, ETH Zurich, Institute of Microbiology, Zurich, Switzerland
| | - Niculò Barandun
- Department of Biology, ETH Zurich, Institute of Microbiology, Zurich, Switzerland
| | - Yang Shen
- Institute of Food Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Fabian Wendt
- Department of Health Sciences and Technology (D-HEST), ETH Zurich, Institute of Translational Medicine (ITM), Zurich, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Sebastian N Steiner
- Department of Health Sciences and Technology (D-HEST), ETH Zurich, Institute of Translational Medicine (ITM), Zurich, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Yannik Severin
- Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
| | | | - Milon Mondal
- Chemistry Department, University of Zurich, Zurich, Switzerland
| | | | - Raphael Hofmann
- Laboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Marc van Oostrum
- Department of Health Sciences and Technology (D-HEST), ETH Zurich, Institute of Translational Medicine (ITM), Zurich, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Roman C Sarott
- Laboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Erick M Carreira
- Laboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Jeffrey W Bode
- Laboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
| | - Berend Snijder
- Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.,Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland
| | - John A Robinson
- Chemistry Department, University of Zurich, Zurich, Switzerland
| | - Martin J Loessner
- Institute of Food Nutrition and Health, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Annette Oxenius
- Department of Biology, ETH Zurich, Institute of Microbiology, Zurich, Switzerland
| | - Bernd Wollscheid
- Department of Health Sciences and Technology (D-HEST), ETH Zurich, Institute of Translational Medicine (ITM), Zurich, Switzerland. .,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
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24
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Abstract
Worldwide about one million patients are given anti-CD20 antibodies such as rituximab (RTX) for the treatment of B cell-associated diseases. Despite the success of this first therapeutic antibody, little is known about the function of its target. The role of CD20 only becomes clear in the context of the nanoscale compartmentalization of the B lymphocyte membrane. We found that CD20 is an organizer of the IgD-class nanocluster on the B cell membrane. The loss of CD20 on human B cells results in a dissolution of the IgD-class nanocluster and a transient B cell activation inducing a B cell-to-PC differentiation. Thus, CD20 is an essential gatekeeper of a membrane nanodomain and the resting state of naive B cells. CD20 is a B cell-specific membrane protein and represents an attractive target for therapeutic antibodies. Despite widespread usage of anti-CD20 antibodies for B cell depletion therapies, the biological function of their target remains unclear. Here, we demonstrate that CD20 controls the nanoscale organization of receptors on the surface of resting B lymphocytes. CRISPR/Cas9-mediated ablation of CD20 in resting B cells resulted in relocalization and interaction of the IgM-class B cell antigen receptor with the coreceptor CD19. This receptor rearrangement led to a transient activation of B cells, accompanied by the internalization of many B cell surface marker proteins. Reexpression of CD20 restored the expression of the B cell surface proteins and the resting state of Ramos B cells. Similarly, treatment of Ramos or naive human B cells with the anti-CD20 antibody rituximab induced nanoscale receptor rearrangements and transient B cell activation in vitro and in vivo. A departure from the resting B cell state followed by the loss of B cell identity of CD20-deficient Ramos B cells was accompanied by a PAX5 to BLIMP-1 transcriptional switch, metabolic reprogramming toward oxidative phosphorylation, and a shift toward plasma cell development. Thus, anti-CD20 engagement or the loss of CD20 disrupts membrane organization, profoundly altering the fate of human B cells.
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25
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Abstract
The cellular surfaceome and its residing extracellularly exposed proteins are involved in a multitude of molecular signaling processes across the viral infection cycle. Successful viral propagation, including viral entry, immune evasion, virion release and viral spread rely on dynamic molecular interactions with the surfaceome. Decoding of these viral-host surfaceome interactions using advanced technologies enabled the discovery of fundamental new functional insights into cellular and viral biology. In this review, we highlight recently developed experimental strategies, with a focus on spatial proteotyping technologies, aiding in the rational design of theranostic strategies to combat viral infections.
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26
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Riley NM, Bertozzi CR, Pitteri SJ. A Pragmatic Guide to Enrichment Strategies for Mass Spectrometry-Based Glycoproteomics. Mol Cell Proteomics 2020; 20:100029. [PMID: 33583771 PMCID: PMC8724846 DOI: 10.1074/mcp.r120.002277] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 09/14/2020] [Accepted: 09/16/2020] [Indexed: 12/26/2022] Open
Abstract
Glycosylation is a prevalent, yet heterogeneous modification with a broad range of implications in molecular biology. This heterogeneity precludes enrichment strategies that can be universally beneficial for all glycan classes. Thus, choice of enrichment strategy has profound implications on experimental outcomes. Here we review common enrichment strategies used in modern mass spectrometry-based glycoproteomic experiments, including lectins and other affinity chromatographies, hydrophilic interaction chromatography and its derivatives, porous graphitic carbon, reversible and irreversible chemical coupling strategies, and chemical biology tools that often leverage bioorthogonal handles. Interest in glycoproteomics continues to surge as mass spectrometry instrumentation and software improve, so this review aims to help equip researchers with the necessary information to choose appropriate enrichment strategies that best complement these efforts.
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Affiliation(s)
- Nicholas M Riley
- Department of Chemistry, Stanford University, Stanford, California, USA.
| | - Carolyn R Bertozzi
- Department of Chemistry, Stanford University, Stanford, California, USA; Howard Hughes Medical Institute, Stanford, California, USA
| | - Sharon J Pitteri
- Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California, USA.
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27
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van Oostrum M, Campbell B, Seng C, Müller M, Tom Dieck S, Hammer J, Pedrioli PGA, Földy C, Tyagarajan SK, Wollscheid B. Surfaceome dynamics reveal proteostasis-independent reorganization of neuronal surface proteins during development and synaptic plasticity. Nat Commun 2020; 11:4990. [PMID: 33020478 PMCID: PMC7536423 DOI: 10.1038/s41467-020-18494-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 08/24/2020] [Indexed: 12/27/2022] Open
Abstract
Neurons are highly compartmentalized cells with tightly controlled subcellular protein organization. While brain transcriptome, connectome and global proteome maps are being generated, system-wide analysis of temporal protein dynamics at the subcellular level are currently lacking. Here, we perform a temporally-resolved surfaceome analysis of primary neuron cultures and reveal dynamic surface protein clusters that reflect the functional requirements during distinct stages of neuronal development. Direct comparison of surface and total protein pools during development and homeostatic synaptic scaling demonstrates system-wide proteostasis-independent remodeling of the neuronal surface, illustrating widespread regulation on the level of surface trafficking. Finally, quantitative analysis of the neuronal surface during chemical long-term potentiation (cLTP) reveals fast externalization of diverse classes of surface proteins beyond the AMPA receptor, providing avenues to investigate the requirement of exocytosis for LTP. Our resource (neurosurfaceome.ethz.ch) highlights the importance of subcellular resolution for systems-level understanding of cellular processes. Cell surface proteins contribute to neuronal development and activity-dependent synaptic plasticity. Here, the authors perform a time-resolved surfaceome analysis of developing primary neurons and in response to homeostatic synaptic scaling and chemical long-term potentiation (cLTP), revealing surface proteome remodeling largely independent of global proteostasis.
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Affiliation(s)
- Marc van Oostrum
- Neuroscience Center Zurich, Zurich, Switzerland.,Institute of Translational Medicine (ITM), Department of Health Sciences and Technology, ETH Zurich, 8093, Zurich, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Benjamin Campbell
- Neuroscience Center Zurich, Zurich, Switzerland.,Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Charlotte Seng
- Neuroscience Center Zurich, Zurich, Switzerland.,Laboratory of Neural Connectivity, Faculties of Medicine and Natural Sciences, Brain Research Institute, University of Zurich, Zürich, 8057, Switzerland
| | - Maik Müller
- Institute of Translational Medicine (ITM), Department of Health Sciences and Technology, ETH Zurich, 8093, Zurich, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | | | - Jacqueline Hammer
- Institute of Translational Medicine (ITM), Department of Health Sciences and Technology, ETH Zurich, 8093, Zurich, Switzerland
| | - Patrick G A Pedrioli
- Institute of Translational Medicine (ITM), Department of Health Sciences and Technology, ETH Zurich, 8093, Zurich, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Csaba Földy
- Neuroscience Center Zurich, Zurich, Switzerland.,Laboratory of Neural Connectivity, Faculties of Medicine and Natural Sciences, Brain Research Institute, University of Zurich, Zürich, 8057, Switzerland
| | - Shiva K Tyagarajan
- Neuroscience Center Zurich, Zurich, Switzerland.,Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Bernd Wollscheid
- Neuroscience Center Zurich, Zurich, Switzerland. .,Institute of Translational Medicine (ITM), Department of Health Sciences and Technology, ETH Zurich, 8093, Zurich, Switzerland. .,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
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28
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Basisty N, Kale A, Patel S, Campisi J, Schilling B. The power of proteomics to monitor senescence-associated secretory phenotypes and beyond: toward clinical applications. Expert Rev Proteomics 2020; 17:297-308. [PMID: 32425074 DOI: 10.1080/14789450.2020.1766976] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Cellular senescence is a rapidly growing field with potential relevance for the treatment of multiple human diseases. In the last decade, cellular senescence and the senescence-associated secretory phenotype (SASP) have emerged as central drivers of aging and many chronic diseases, including cancer, neurodegeneration, heart disease and osteoarthritis. Major efforts are underway to develop drugs that selectively eliminate senescent cells (senolytics) or alter the SASP (senomorphics) to treat age-related diseases in humans. The translation of senescence-targeting therapies into humans is still in early stages. Nonetheless, it is clear that proteomic approaches will facilitate the discovery of important SASP proteins, development of senescence- and SASP-derived biomarkers, and identification of therapeutic targets for senolytic and senomorphic drugs. AREAS COVERED We review recent proteomic studies of cellular senescence and their translational relevance and, particularly, characterization of the secretory phenotype and preclinical development of biomarkers (from 2008-2020, PubMed). We focus on emerging areas, such as the heterogeneity of senescent cells and the SASP, extracellular vesicles released by senescent cells, and validating biomarkers of aging in vivo. EXPERT OPINION Proteomic and multi-omic approaches will be important for the development of senescence-based biomarkers to facilitate and monitor future therapeutic interventions that target senescent cells.
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Affiliation(s)
- Nathan Basisty
- Buck Institute for Research on Aging, Novato , California, USA
| | - Abhijit Kale
- Buck Institute for Research on Aging, Novato , California, USA
| | - Sandip Patel
- Buck Institute for Research on Aging, Novato , California, USA
| | - Judith Campisi
- Buck Institute for Research on Aging, Novato , California, USA.,Lawrence Berkeley National Laboratory, University of California , Berkeley, USA
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