1
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Cho Y, Jeong I, Kim KE, Rhee HW. Painting Cell-Cell Interactions by Horseradish Peroxidase and Endogenously Generated Hydrogen Peroxide. ACS Chem Biol 2024. [PMID: 39692451 DOI: 10.1021/acschembio.4c00419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2024]
Abstract
Cell-cell interactions are fundamental in biology for maintaining physiological conditions with direct contact being the most straightforward mode of interaction. Recent advancements have led to the development of various chemical tools for detecting or identifying these interactions. However, the use of exogenous cues, such as toxic reagents, bulky probes, and light irradiation, can disrupt normal cell physiology. For example, the toxicity of hydrogen peroxide (H2O2) limits the applications of peroxidases in the proximity labeling field. In this study, we aimed to address this limitation by demonstrating that membrane-localized horseradish peroxidase (HRP-TM) efficiently utilizes endogenously generated extracellular H2O2. By harnessing endogenous H2O2, we observed that HRP-TM-expressing cells can effectively label contacting cells without the need for exogenous H2O2 treatment. Furthermore, we confirmed that HRP-TM labels proximal cells in an interaction-dependent manner. These findings offer a novel approach for studying cell-cell interactions under more physiological conditions without the confounding effects of exogenous stimuli. Our study contributes to elucidating cell-cell interaction networks in various model organisms, providing valuable insights into the dynamic interplay between cells in their native network.
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Affiliation(s)
- Youngjoon Cho
- Department of Chemistry, Seoul National University, Seoul 08826, Korea
| | - Inyoung Jeong
- Department of Chemistry, Seoul National University, Seoul 08826, Korea
| | - Kwang-Eun Kim
- Department of Chemistry, Seoul National University, Seoul 08826, Korea
- Department of Convergence Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Korea
| | - Hyun-Woo Rhee
- Department of Chemistry, Seoul National University, Seoul 08826, Korea
- School of Biological Sciences, Seoul National University, Seoul 08826, Korea
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2
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Al Mismar R, Samavarchi-Tehrani P, Seale B, Kasmaeifar V, Martin CE, Gingras AC. Extracellular proximal interaction profiling by cell surface-targeted TurboID reveals LDLR as a partner of liganded EGFR. Sci Signal 2024; 17:eadl6164. [PMID: 39499777 DOI: 10.1126/scisignal.adl6164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 05/25/2024] [Accepted: 10/01/2024] [Indexed: 11/07/2024]
Abstract
Plasma membrane proteins play pivotal roles in receiving and transducing signals from other cells and from the environment and are vital for cellular functionality. Enzyme-based, proximity-dependent approaches, such as biotin identification (BioID), combined with mass spectrometry have begun to illuminate the landscape of proximal protein interactions within intracellular compartments. To extend the potential of these approaches to study the extracellular environment, we developed extracellular TurboID (ecTurboID), a method designed to profile the interactions between proteins on the surfaces of living cells over short timescales using the fast-acting biotin ligase TurboID. After optimizing our experimental and data analysis strategies to capture extracellular proximity interactions, we used ecTurboID to reveal the proximal interactomes of several plasma membrane proteins, including the epidermal growth factor receptor (EGFR). We found that EGF stimulation induced an association between EGFR and the low-density lipoprotein receptor (LDLR) and changed the interactome of LDLR by increasing its proximity with proteins that regulate EGFR signaling. The identification of this interaction between two well-studied and clinically relevant receptors illustrates the utility of our modified proximity labeling methodology for identifying dynamic extracellular associations between plasma membrane proteins.
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Affiliation(s)
- Rasha Al Mismar
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | | | - Brendon Seale
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, Canada
| | - Vesal Kasmaeifar
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Claire E Martin
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, Canada
| | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
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3
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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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4
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Di Meo F, Kale B, Koomen JM, Perna F. Mapping the cancer surface proteome in search of target antigens for immunotherapy. Mol Ther 2024; 32:2892-2904. [PMID: 39068512 PMCID: PMC11403220 DOI: 10.1016/j.ymthe.2024.07.019] [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: 04/01/2024] [Revised: 06/26/2024] [Accepted: 07/25/2024] [Indexed: 07/30/2024] Open
Abstract
Immune-based therapeutic interventions recognizing proteins localized on the cell surface of cancer cells are emerging as a promising cancer treatment. Antibody-based therapies and engineered T cells are now approved by the Food and Drug Administration to treat some malignancies. These therapies utilize a few cell surface proteins highly expressed on cancer cells to release the negative regulation of immune activation that limits antitumor responses (e.g., PD-1, PD-L1, CTLA4) or to redirect the T cell specificity toward blood cancer cells (e.g., CD19 and B cell maturation antigen). One limitation preventing broader application of these novel therapeutic strategies to all cancer types is the lack of suitable target antigens for all indications owing in part to the challenges in identifying such targets. Ideal target antigens are cell surface proteins highly expressed on malignant cells and absent in healthy tissues. Technological advances in mass spectrometry, enrichment protocols, and computational tools for cell surface protein isolation and annotation have recently enabled comprehensive analyses of the cancer cell surface proteome, from which novel immunotherapeutic target antigens may emerge. Here, we review the most recent progress in this field.
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Affiliation(s)
- Francesco Di Meo
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, Tampa, FL, USA
| | - Brandon Kale
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, Tampa, FL, USA
| | - John M Koomen
- Department of Molecular Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | - Fabiana Perna
- Department of Blood and Marrow Transplant and Cellular Immunotherapy, Tampa, FL, USA.
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5
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Dang T, Yu J, Cao Z, Zhang B, Li S, Xin Y, Yang L, Lou R, Zhuang M, Shui W. Endogenous cell membrane interactome mapping for the GLP-1 receptor in different cell types. Nat Chem Biol 2024:10.1038/s41589-024-01714-1. [PMID: 39227725 DOI: 10.1038/s41589-024-01714-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 07/29/2024] [Indexed: 09/05/2024]
Abstract
The GLP-1 receptor, one of the most successful drug targets for the treatment of type 2 diabetes and obesity, is known to engage multiple intracellular signaling proteins. However, it remains less explored how the receptor interacts with proteins on the cell membrane. Here, we present a ligand-based proximity labeling approach to interrogate the native cell membrane interactome for the GLP-1 receptor after agonist simulation. Our study identified several unreported putative cell membrane interactors for the endogenous receptor in either a pancreatic β cell line or a neuronal cell line. We further uncovered new regulators of GLP-1 receptor-mediated signaling and insulinotropic responses in β cells. Additionally, we obtained a time-resolved cell membrane interactome map for the receptor in β cells. Therefore, our study provides a new approach that is generalizable to map endogenous cell membrane interactomes for G-protein-coupled receptors to decipher the molecular basis of their cell-type-specific functional regulation.
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Affiliation(s)
- Ting Dang
- iHuman Institute, ShanghaiTech University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jie Yu
- iHuman Institute, ShanghaiTech University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- Lingang Laboratory, Shanghai, China
| | - Zhihe Cao
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Bingjie Zhang
- iHuman Institute, ShanghaiTech University, Shanghai, China
| | - Shanshan Li
- iHuman Institute, ShanghaiTech University, Shanghai, China
| | - Ye Xin
- iHuman Institute, ShanghaiTech University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Lingyun Yang
- iHuman Institute, ShanghaiTech University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ronghui Lou
- iHuman Institute, ShanghaiTech University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Min Zhuang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
| | - Wenqing Shui
- iHuman Institute, ShanghaiTech University, Shanghai, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
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6
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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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7
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Lin Z, Schaefer K, Lui I, Yao Z, Fossati A, Swaney DL, Palar A, Sali A, Wells JA. Multiscale photocatalytic proximity labeling reveals cell surface neighbors on and between cells. Science 2024; 385:eadl5763. [PMID: 39024454 DOI: 10.1126/science.adl5763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 06/10/2024] [Indexed: 07/20/2024]
Abstract
Proximity labeling proteomics (PLP) strategies are powerful approaches to yield snapshots of protein neighborhoods. Here, we describe a multiscale PLP method with adjustable resolution that uses a commercially available photocatalyst, Eosin Y, which upon visible light illumination activates different photo-probes with a range of labeling radii. We applied this platform to profile neighborhoods of the oncogenic epidermal growth factor receptor and orthogonally validated more than 20 neighbors using immunoassays and AlphaFold-Multimer prediction. We further profiled the protein neighborhoods of cell-cell synapses induced by bispecific T cell engagers and chimeric antigen receptor T cells. This integrated multiscale PLP platform maps local and distal protein networks on and between cell surfaces, which will aid in the systematic construction of the cell surface interactome, revealing horizontal signaling partners and reveal new immunotherapeutic opportunities.
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Affiliation(s)
- Zhi Lin
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Kaitlin Schaefer
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Irene Lui
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Zi Yao
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Andrea Fossati
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- J. David Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158, USA
| | - Danielle L Swaney
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- J. David Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158, USA
| | - Ajikarunia Palar
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Andrej Sali
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
- Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - James A Wells
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
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8
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Xu X, Yin K, Wu R. Systematic Investigation of the Trafficking of Glycoproteins on the Cell Surface. Mol Cell Proteomics 2024; 23:100761. [PMID: 38593903 PMCID: PMC11087972 DOI: 10.1016/j.mcpro.2024.100761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 03/30/2024] [Accepted: 04/03/2024] [Indexed: 04/11/2024] Open
Abstract
Glycoproteins located on the cell surface play a pivotal role in nearly every extracellular activity. N-glycosylation is one of the most common and important protein modifications in eukaryotic cells, and it often regulates protein folding and trafficking. Glycosylation of cell-surface proteins undergoes meticulous regulation by various enzymes in the endoplasmic reticulum (ER) and the Golgi, ensuring their proper folding and trafficking to the cell surface. However, the impacts of protein N-glycosylation, N-glycan maturity, and protein folding status on the trafficking of cell-surface glycoproteins remain to be explored. In this work, we comprehensively and site-specifically studied the trafficking of cell-surface glycoproteins in human cells. Integrating metabolic labeling, bioorthogonal chemistry, and multiplexed proteomics, we investigated 706 N-glycosylation sites on 396 cell-surface glycoproteins in monocytes, either by inhibiting protein N-glycosylation, disturbing N-glycan maturation, or perturbing protein folding in the ER. The current results reveal their distinct impacts on the trafficking of surface glycoproteins. The inhibition of protein N-glycosylation dramatically suppresses the trafficking of many cell-surface glycoproteins. The N-glycan immaturity has more substantial effects on proteins with high N-glycosylation site densities, while the perturbation of protein folding in the ER exerts a more pronounced impact on surface glycoproteins with larger sizes. Furthermore, for N-glycosylated proteins, their trafficking to the cell surface is related to the secondary structures and adjacent amino acid residues of glycosylation sites. Systematic analysis of surface glycoprotein trafficking advances our understanding of the mechanisms underlying protein secretion and surface presentation.
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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, USA
| | - Kejun Yin
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Ronghu Wu
- School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA.
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9
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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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10
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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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11
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Dai C, Guo X, Pan Z, Wan C, Yang D, Li Y, Lian C, An Y, Zhang T, Yang F, Zhu L, Yin F, Wang R, Li Z. Pyridinium-Based Strategy for a Bioorthogonal Conjugation-Assisted Purification Method for Profiling Cell Surface Proteome. Anal Chem 2023; 95:17125-17134. [PMID: 37934015 DOI: 10.1021/acs.analchem.3c04279] [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: 11/08/2023]
Abstract
Cell surface proteins (CSPs) are valuable targets for therapeutic agents, but achieving highly selective CSP enrichment in cellular physiology remains a technical challenge. To address this challenge, we propose a newly developed sulfo-pyridinium ester (SPE) cross-linking probe, followed by two-step imaging and enrichment. The SPE probe showed higher efficiency in labeling proteins than similar NHS esters at the level of cell lysates and demonstrated specificity for Lys in competitive experiments. More importantly, this probe could selectively label the cell membranes in cell imaging with only negligible labeling of the intracellular compartment. Moreover, we successfully performed this strategy on MCF-7 live cells to label 425 unique CSPs from 1162 labeled proteins. Finally, we employed our probe to label the CSPs of insulin-cultured MCF-7, revealing several cell surface targets of key functional biomarkers and insulin-associated pathogenesis. The above results demonstrate that the SPE method provides a promising tool for the selective labeling of cell surface proteins and monitoring transient cell surface events.
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Affiliation(s)
- Chuan Dai
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518118, P. R. China
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen 518055, P. R. China
- Department of Pharmacy, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen 518060, P. R. China
| | - Xiaochun Guo
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen 518055, P. R. China
| | - Zhuoheng Pan
- School of Pharmacy, Macau University of Science and Technology, Taipa 999078, Macau, P. R. China
| | - Chuan Wan
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518118, P. R. China
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen 518055, P. R. China
| | - Dongyan Yang
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518118, P. R. China
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen 518055, P. R. China
| | - Yongli Li
- China Medical System Holdings Limited, Shenzhen 518055, P. R. China
| | - Chenshan Lian
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518118, P. R. China
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen 518055, P. R. China
| | - Yuhao An
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518118, P. R. China
| | - Tuanjie Zhang
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518118, P. R. China
| | - Fadeng Yang
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen 518055, P. R. China
| | - Lizhi Zhu
- Department of Pharmacy, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen 518060, P. R. China
| | - Feng Yin
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518118, P. R. China
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen 518055, P. R. China
| | - Rui Wang
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518118, P. R. China
| | - Zigang Li
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518118, P. R. China
- State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen 518055, P. R. China
- Frontiers Medical Center, Tianfu Jincheng Laboratory, Chengdu 610212, Sichuan, P. R. China
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12
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Liang L, Jiang Y, Liu F, Li S, Wu J, Zhao S, Ye F. Three-in-one covalent organic framework nanozyme: Self-reporting, self-correcting and light-responsive for fluorescence sensing 3-nitrotyrosine. Biosens Bioelectron 2023; 237:115542. [PMID: 37481867 DOI: 10.1016/j.bios.2023.115542] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/27/2023] [Accepted: 07/19/2023] [Indexed: 07/25/2023]
Abstract
Most current redox-type nanozyme-based colorimetric sensing platforms are susceptible to interference from the reductant when using chromogenic probe, and the unstable H2O2 used in the peroxidase-like nanozyme-based systems is prone to difficulty in sensing signal reproducibility, while peroxidase-like nanozyme with oxidase-mimicking activity is easy to bring background interference by O2. Since the strong structural designability of covalent organic frameworks (COFs) endows them great application value in the sensing fields, therefore, we envision the construction a COF oxidase-like nanozyme-based controllable sensing system that integrates self-reporting, self-correcting and light-responsive functions to avoid these affects. Herein, 3-nitrotyrosine (3-NT) biomarker was selected as model analyte. 1,3,5-triformylphloroglucinol (Tp) and 3,6-diaminoacridine (DA) were acted as building monomers of the multifunctional COF nanozyme (termed as TpDA). Owing to the excellent light-responsive oxidase-mimicking property of TpDA, 3-NT can be efficiently oxidized, the inner filter effect (IFE) between TpDA and the 3-NT oxidation product greatly quenches the intrinsic fluorescence of TpDA, making it a controllable self-reporting system for fluorescence turn-off sensing 3-NT. Additionally, the excessive reactive oxygen species (ROS) that generated continuously during photocatalysis can resist the interference of endogenous reductants. This study not only provides new insights to avoid the interference of H2O2, background and reductants from conventional redox-type nanozyme-based colorimetric systems but also opens avenues to rational construct versatile COF nanozyme-based sensor.
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Affiliation(s)
- Ling Liang
- State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science of Guangxi Normal University, Guilin, 541004, PR China
| | - Yuting Jiang
- State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science of Guangxi Normal University, Guilin, 541004, PR China
| | - Fengping Liu
- State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science of Guangxi Normal University, Guilin, 541004, PR China
| | - Shuishi Li
- State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science of Guangxi Normal University, Guilin, 541004, PR China
| | - Jia Wu
- State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science of Guangxi Normal University, Guilin, 541004, PR China
| | - Shulin Zhao
- State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science of Guangxi Normal University, Guilin, 541004, PR China
| | - Fanggui Ye
- State Key Laboratory for the Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Science of Guangxi Normal University, Guilin, 541004, PR China.
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13
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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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14
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Kirkemo LL, Elledge SK, Yang J, Byrnes JR, Glasgow JE, Blelloch R, Wells JA. Cell-surface tethered promiscuous biotinylators enable comparative small-scale surface proteomic analysis of human extracellular vesicles and cells. eLife 2022; 11:73982. [PMID: 35257663 PMCID: PMC8983049 DOI: 10.7554/elife.73982] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 02/07/2022] [Indexed: 11/24/2022] Open
Abstract
Characterization of cell surface proteome differences between cancer and healthy cells is a valuable approach for the identification of novel diagnostic and therapeutic targets. However, selective sampling of surface proteins for proteomics requires large samples (>10e6 cells) and long labeling times. These limitations preclude analysis of material-limited biological samples or the capture of rapid surface proteomic changes. Here, we present two labeling approaches to tether exogenous peroxidases (APEX2 and HRP) directly to cells, enabling rapid, small-scale cell surface biotinylation without the need to engineer cells. We used a novel lipidated DNA-tethered APEX2 (DNA-APEX2), which upon addition to cells promoted cell agnostic membrane-proximal labeling. Alternatively, we employed horseradish peroxidase (HRP) fused to the glycan-binding domain of wheat germ agglutinin (WGA-HRP). This approach yielded a rapid and commercially inexpensive means to directly label cells containing common N-Acetylglucosamine (GlcNAc) and sialic acid glycans on their surface. The facile WGA-HRP method permitted high surface coverage of cellular samples and enabled the first comparative surface proteome characterization of cells and cell-derived small extracellular vesicles (EVs), leading to the robust quantification of 953 cell and EV surface annotated proteins. We identified a newly recognized subset of EV-enriched markers, as well as proteins that are uniquely upregulated on Myc oncogene-transformed prostate cancer EVs. These two cell-tethered enzyme surface biotinylation approaches are highly advantageous for rapidly and directly labeling surface proteins across a range of material-limited sample types.
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Affiliation(s)
- Lisa L Kirkemo
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States
| | - Susanna K Elledge
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States
| | - Jiuling Yang
- Department of Urology, University of California, San Francisco, San Francisco, United States
| | - James R Byrnes
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States
| | - Jeff E Glasgow
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States
| | - Robert Blelloch
- Department of Urology, University of California, San Francisco, San Francisco, United States
| | - James A Wells
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States
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15
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Li Y, Xia C, Zhao H, Xie Y, Zhang Y, Zhang W, Yu Y, Wang J, Qin W. A new photolabeling probe for efficient enrichment and deep profiling of cell surface membrane proteome by mass spectrometry. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.03.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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