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Pedersen GB, Blaschek L, Frandsen KEH, Noack LC, Persson S. Cellulose synthesis in land plants. MOLECULAR PLANT 2023; 16:206-231. [PMID: 36564945 DOI: 10.1016/j.molp.2022.12.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/19/2022] [Accepted: 12/21/2022] [Indexed: 06/17/2023]
Abstract
All plant cells are surrounded by a cell wall that provides cohesion, protection, and a means of directional growth to plants. Cellulose microfibrils contribute the main biomechanical scaffold for most of these walls. The biosynthesis of cellulose, which typically is the most prominent constituent of the cell wall and therefore Earth's most abundant biopolymer, is finely attuned to developmental and environmental cues. Our understanding of the machinery that catalyzes and regulates cellulose biosynthesis has substantially improved due to recent technological advances in, for example, structural biology and microscopy. Here, we provide a comprehensive overview of the structure, function, and regulation of the cellulose synthesis machinery and its regulatory interactors. We aim to highlight important knowledge gaps in the field, and outline emerging approaches that promise a means to close those gaps.
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Affiliation(s)
- Gustav B Pedersen
- Copenhagen Plant Science Center (CPSC), Department of Plant & Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark
| | - Leonard Blaschek
- Copenhagen Plant Science Center (CPSC), Department of Plant & Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark
| | - Kristian E H Frandsen
- Copenhagen Plant Science Center (CPSC), Department of Plant & Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark
| | - Lise C Noack
- Copenhagen Plant Science Center (CPSC), Department of Plant & Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark
| | - Staffan Persson
- Copenhagen Plant Science Center (CPSC), Department of Plant & Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871, Frederiksberg C, Denmark; Joint International Research Laboratory of Metabolic & Developmental Sciences, State Key Laboratory of Hybrid Rice, SJTU-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
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52
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Melkonian K, Stolze SC, Harzen A, Nakagami H. Proximity-Dependent In Vivo Biotin Labeling for Interactome Mapping in Marchantia polymorpha. Methods Mol Biol 2023; 2581:295-308. [PMID: 36413326 DOI: 10.1007/978-1-0716-2784-6_21] [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: 06/16/2023]
Abstract
Weak or transient protein-protein interactions (PPIs) are involved in a manifold of cellular processes in all living organisms, including plants. However, many of these interactions may remain undiscovered by co-immunoprecipitation (Co-IP) approaches due to their low binding affinities or transitory nature. Enzyme-mediated proximity-dependent in vivo biotin labeling can be a powerful strategy to efficiently capture weak and transient PPIs and has been successfully applied in different model angiosperm species. Here, we provide an optimized and robust protocol for biotin ligase-mediated proximity labeling for interactome mapping in the model liverwort Marchantia polymorpha.
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Affiliation(s)
- Katharina Melkonian
- Basic Immune System of Plants, Max-Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Sara Christina Stolze
- Protein Mass Spectrometry, Max-Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Anne Harzen
- Basic Immune System of Plants, Max-Planck Institute for Plant Breeding Research, Cologne, Germany
- Protein Mass Spectrometry, Max-Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Hirofumi Nakagami
- Basic Immune System of Plants, Max-Planck Institute for Plant Breeding Research, Cologne, Germany.
- Protein Mass Spectrometry, Max-Planck Institute for Plant Breeding Research, Cologne, Germany.
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53
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Yan Y, Huang T. The Interactome of Protein, DNA, and RNA. Methods Mol Biol 2023; 2695:89-110. [PMID: 37450113 DOI: 10.1007/978-1-0716-3346-5_6] [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: 07/18/2023]
Abstract
Proteins participate in many processes of the organism and are very important for maintaining the health of the organism. However, proteins cannot function independently in the body. They must interact with proteins, DNA, RNA, and other substances to perform biological functions and maintain the body's health. At present, there are many experimental methods and software tools that can detect and predict the interaction between proteins and other substances. There are also many databases that record the interaction between proteins and other substances. This article mainly describes protein-protein, protein-DNA, and protein-RNA interactions in detail by introducing some commonly used experimental methods, the software tools produced with the accumulation of experimental data and the rapid development of machine learning, and the related databases that record the relationship between proteins and some substances. By this review, we hope that through the analysis and summary of various aspects, it will be convenient for researchers to conduct further research on protein interactions.
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Affiliation(s)
- Yuyao Yan
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Tao Huang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China.
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54
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Ye R, Lin Z, Liu KH, Sheen J, Chen S. Dynamic Proximity Tagging in Living Plant Cells with Pupylation-Based Interaction Tagging. Methods Mol Biol 2023; 2690:137-147. [PMID: 37450145 DOI: 10.1007/978-1-0716-3327-4_14] [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] [Indexed: 07/18/2023]
Abstract
Identification of protein-protein interactions (PPIs) and protein kinase substrates is fundamental for understanding how proteins exert biological functions with their partners and targets. However, it is still technically challenging, especially for transient and weak interactions involved in most cellular processes. The proximity-tagging systems enable capturing snapshots of both stable and transient PPIs. In this chapter, we describe in detail the methodology of a novel proximity-based labeling approach, PUP-IT (pupylation-based interaction tagging), to identify PPIs using a protoplast transient expression system. We have successfully identified potential kinase substrates by targeted screening and tandem mass spectrometry analysis.
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Affiliation(s)
- Ruiqiang Ye
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA, USA.
- CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China.
| | - Zhuoran Lin
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, and Institute of Future Agriculture, Northwest Agriculture & Forestry University, Yangling, Shaanxi, China
| | - Kun-Hsaing Liu
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA, USA
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, and Institute of Future Agriculture, Northwest Agriculture & Forestry University, Yangling, Shaanxi, China
| | - Jen Sheen
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, and Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Sixue Chen
- Department of Biology, University of Mississippi, Oxford, MS, USA.
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55
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Bechtel TJ, Bertoch JM, Olow AK, Duich M, White CH, Reyes-Robles T, Fadeyi OO, Oslund RC. Proteomic mapping of intercellular synaptic environments via flavin-dependent photoredox catalysis. Org Biomol Chem 2022; 21:98-106. [PMID: 36477737 DOI: 10.1039/d2ob02103j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Receptor-ligand interactions play essential signaling roles within intercellular contact regions. This is particularly important within the context of the immune synapse where protein communication at the surface of physically interacting T cells and antigen-presenting cells regulate downstream immune signaling responses. To identify protein microenvironments within immunological synapses, we combined a flavin-dependent photocatalytic labeling strategy with quantitative mass spectrometry-based proteomics. Using α-PD-L1 or α-PD-1 single-domain antibody (VHH)-based photocatalyst targeting modalities, we profiled protein microenvironments within the intercellular region of an immune synapse-forming co-culture system. In addition to enrichment of both PD-L1 and PD-1 with either targeting modality, we also observed enrichment of both known immune synapse residing receptor-ligand pairs and surface proteins, as well as previously unknown synapse residing proteins.
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Affiliation(s)
- Tyler J Bechtel
- Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, 02139, USA.
| | - Jayde M Bertoch
- Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, 02139, USA.
| | - Aleksandra K Olow
- Genetics and Pharmacogenomics, Merck & Co., Inc., South San Francisco, CA, 94080, USA
| | - Margaret Duich
- Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, 02139, USA.
| | - Cory H White
- Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, 02139, USA.
| | | | | | - Rob C Oslund
- Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, 02139, USA.
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56
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Qiu S, Zhao Z, Wu M, Xue Q, Yang Y, Ouyang S, Li W, Zhong L, Wang W, Yang R, Wu P, Li JP. Use of intercellular proximity labeling to quantify and decipher cell-cell interactions directed by diversified molecular pairs. SCIENCE ADVANCES 2022; 8:eadd2337. [PMID: 36542702 PMCID: PMC9770995 DOI: 10.1126/sciadv.add2337] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 11/18/2022] [Indexed: 06/17/2023]
Abstract
FucoID is an intercellular proximity labeling technique for studying cell-cell interactions (CCIs) via fucosyltransferase (FT)-meditated fucosyl-biotinylation, which has been applied to probe antigen-specific dendritic cell (DC)-T cell interactions. In this system, bait cells of interest with cell surface-anchored FT are used to capture the interacting prey cells by transferring a biotin-modified substrate to prey cells. Here, we leveraged FucoID to study CCIs directed by different molecular pairs, e.g., programmed cell death protein-1(PD-1)/programmed cell death protein-ligand-1 (PD-L1), and identify unknown or little studied CCIs, e.g., the interaction of DCs and B cells. To expand the application of FucoID to complex systems, we also synthesized site-specific antibody-based FT conjugate, which substantially improves the ability of FucoID to probe molecular signatures of specific CCI when cells of interest (bait cells) cannot be purified, e.g., in clinical samples. Collectively, these studies demonstrate the general applicability of FucoID to study unknown CCIs in complex systems at a molecular resolution.
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Affiliation(s)
- Shuang Qiu
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China
| | - Zihan Zhao
- Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Mengyao Wu
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Qi Xue
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China
| | - Yang Yang
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China
| | - Shian Ouyang
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China
| | - Wannan Li
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China
| | - Lingyu Zhong
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China
| | - Wenjian Wang
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Rong Yang
- Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Peng Wu
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jie P. Li
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China
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57
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Gao SS, Shi R, Sun J, Tang Y, Zheng Z, Li JF, Li H, Zhang J, Leng Q, Xu J, Chen X, Zhao J, Sy MS, Feng L, Li C. GPI-anchored ligand-BioID2-tagging system identifies Galectin-1 mediating Zika virus entry. iScience 2022; 25:105481. [PMID: 36404916 PMCID: PMC9668739 DOI: 10.1016/j.isci.2022.105481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 08/30/2022] [Accepted: 10/28/2022] [Indexed: 11/15/2022] Open
Abstract
Identification of host factors facilitating pathogen entry is critical for preventing infectious diseases. Here, we report a tagging system consisting of a viral receptor-binding protein (RBP) linked to BioID2, which is expressed on the cell surface via a GPI anchor. Using VSV or Zika virus (ZIKV) RBP, the system (BioID2- RBP(V)-GPI; BioID2-RBP(Z)-GPI) faithfully identifies LDLR and AXL, the receptors of VSV and ZIKV, respectively. Being GPI-anchored is essential for the probe to function properly. Furthermore, BioID2-RBP(Z)-GPI expressed in human neuronal progenitor cells identifies galectin-1 on cell surface pivotal for ZIKV entry. This conclusion is further supported by antibody blocking and galectin-1 silencing in A549 and mouse neural cells. Importantly, Lgals1−/− mice are significantly more resistant to ZIKV infection than Lgals1+/+ littermates are, having significantly lower virus titers and fewer pathologies in various organs. This tagging system may have broad applications for identifying protein-protein interactions on the cell surface. A tagging system for identifying ligand-receptor interactions is developed Receptor binding domain determines the specificity of the system Being GPI-anchored is pivotal for the tagging system to function properly Galectin-1 is identified as an entry factor essential for ZIKV infection
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58
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Studying the ubiquitin code through biotin-based labelling methods. Semin Cell Dev Biol 2022; 132:109-119. [PMID: 35181195 DOI: 10.1016/j.semcdb.2022.02.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 02/03/2022] [Accepted: 02/05/2022] [Indexed: 12/15/2022]
Abstract
Post-translational modifications of cellular substrates by members of the ubiquitin (Ub) and ubiquitin-like (UbL) family are crucial for regulating protein homeostasis in organisms. The term "ubiquitin code" encapsulates how this diverse family of modifications, via adding single UbLs or different types of UbL chains, leads to specific fates for substrates. Cancer, neurodegeneration and other conditions are sometimes linked to underlying errors in this code. Studying these modifications in cells is particularly challenging since they are usually transient, scarce, and compartment-specific. Advances in the use of biotin-based methods to label modified proteins, as well as their proximally-located interactors, facilitate isolation and identification of substrates, modification sites, and the enzymes responsible for writing and erasing these modifications, as well as factors recruited as a consequence of the substrate being modified. In this review, we discuss site-specific and proximity biotinylation approaches being currently applied for studying modifications by UbLs, highlighting the pros and cons, with mention of complementary methods when possible. Future improvements may come from bioengineering and chemical biology but even now, biotin-based technology is uncovering new substrates and regulators, expanding potential therapeutic targets to manipulate the Ub code.
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59
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Dölz M, Hasiuk M, Gagnon JD, Kornete M, Marone R, Bantug G, Kageyama R, Hess C, Ansel KM, Seyres D, Roux J, Jeker LT. Forced expression of the non-coding RNA miR-17∼92 restores activation and function in CD28-deficient CD4 + T cells. iScience 2022; 25:105372. [PMID: 36388982 PMCID: PMC9646923 DOI: 10.1016/j.isci.2022.105372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 08/12/2022] [Accepted: 10/12/2022] [Indexed: 11/06/2022] Open
Abstract
CD28 provides the prototypical costimulatory signal required for productive T-cell activation. Known molecular consequences of CD28 costimulation are mostly based on studies of protein signaling molecules. The microRNA cluster miR-17∼92 is induced by T cell receptor stimulation and further enhanced by combined CD28 costimulation. We demonstrate that transgenic miR-17∼92 cell-intrinsically largely overcomes defects caused by CD28 deficiency. Combining genetics, transcriptomics, bioinformatics, and biochemical miRNA:mRNA interaction maps we empirically validate miR-17∼92 target genes that include several negative regulators of T cell activation. CD28-deficient T cells exhibit derepressed miR-17∼92 target genes during activation. CRISPR/Cas9-mediated ablation of the miR-17∼92 targets Pten and Nrbp1 in naive CD28-/- CD4+ T cells differentially increases proliferation and expression of the activation markers CD25 and CD44, respectively. Thus, we propose that miR-17∼92 constitutes a central mediator for T cell activation, integrating signals by the TCR and CD28 costimulation by dampening multiple brakes that prevent T cell activation.
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Affiliation(s)
- Marianne Dölz
- Department of Biomedicine, Basel University Hospital and University of Basel, Hebelstrasse 20, CH-4031 Basel, Switzerland
- Transplantation Immunology & Nephrology, Basel University Hospital, Petersgraben 4, CH-4031 Basel, Switzerland
| | - Marko Hasiuk
- Department of Biomedicine, Basel University Hospital and University of Basel, Hebelstrasse 20, CH-4031 Basel, Switzerland
- Transplantation Immunology & Nephrology, Basel University Hospital, Petersgraben 4, CH-4031 Basel, Switzerland
| | - John D. Gagnon
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
- Sandler Asthma Basic Research Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Mara Kornete
- Department of Biomedicine, Basel University Hospital and University of Basel, Hebelstrasse 20, CH-4031 Basel, Switzerland
| | - Romina Marone
- Department of Biomedicine, Basel University Hospital and University of Basel, Hebelstrasse 20, CH-4031 Basel, Switzerland
- Transplantation Immunology & Nephrology, Basel University Hospital, Petersgraben 4, CH-4031 Basel, Switzerland
| | - Glenn Bantug
- Department of Biomedicine, Basel University Hospital and University of Basel, Hebelstrasse 20, CH-4031 Basel, Switzerland
| | - Robin Kageyama
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
- Sandler Asthma Basic Research Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Christoph Hess
- Department of Biomedicine, Basel University Hospital and University of Basel, Hebelstrasse 20, CH-4031 Basel, Switzerland
- Department of Medicine – CITIID, University of Cambridge, Puddicombe Way, Cambridge CB2 0AW, UK
| | - K. Mark Ansel
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
- Sandler Asthma Basic Research Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Denis Seyres
- Department of Biomedicine, Basel University Hospital and University of Basel, Hebelstrasse 20, CH-4031 Basel, Switzerland
- Transplantation Immunology & Nephrology, Basel University Hospital, Petersgraben 4, CH-4031 Basel, Switzerland
| | - Julien Roux
- Department of Biomedicine, Basel University Hospital and University of Basel, Hebelstrasse 20, CH-4031 Basel, Switzerland
- Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Lukas T. Jeker
- Department of Biomedicine, Basel University Hospital and University of Basel, Hebelstrasse 20, CH-4031 Basel, Switzerland
- Transplantation Immunology & Nephrology, Basel University Hospital, Petersgraben 4, CH-4031 Basel, Switzerland
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60
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Zhu X, Liu H, Chen L, Wu C, Liu X, Cang Y, Jiang B, Yang X, Fan G. Addressing the Enzyme-independent tumor-promoting function of NAMPT via PROTAC-mediated degradation. Cell Chem Biol 2022; 29:1616-1629.e12. [PMID: 36323324 DOI: 10.1016/j.chembiol.2022.10.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 08/28/2022] [Accepted: 10/10/2022] [Indexed: 11/07/2022]
Abstract
Aberrant overexpression of nicotinamide phosphoribosyltransferase (NAMPT) has been reported in a variety of tumor cells and is a poor prognosis factor for patient survival. It plays an important role in tumor cell proliferation, acting concurrently as an nicotinamide adenine dinucleotide (NAD+) synthase and, unexpectedly, as an extracellular signaling molecule for several tumor-promoting pathways. Although previous efforts to modulate NAMPT activity were limited to enzymatic inhibitors with low success in clinical studies, protein degradation offers the possibility to simultaneously disrupt NAMPT's enzyme activity and ligand capabilities. Here we report the development of two highly selective proteolysis-targeting chimeras (PROTACs) that promote NAMPT degradation in a cereblon-dependent manner. Both PROTAC degraders outperform a clinical candidate, FK866, in killing effect on hematological tumor cells. These results emphasize the importance and feasibility of applying PROTACs as a superior strategy for targeting proteins with multiple tumor-promoting functions like NAMPT, which is not easily achieved by conventional enzymatic inhibitors.
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Affiliation(s)
- Xiaotong Zhu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Haixia Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China; Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Li Chen
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Chenxu Wu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Xuesong Liu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yong Cang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Biao Jiang
- CAS Key Laboratory of Synthetic Chemistry of Natural Substances, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China.
| | - Xiaobao Yang
- Gluetacs Therapeutics (Shanghai) Co., Ltd., Zhangjiang Hi-Tech Park, Shanghai 201210, China.
| | - Gaofeng Fan
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.
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61
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Hamzah SN, Avicor SW, Alias Z, Razak SA, Bakhori SKM, Hsieh TC, Syanizam NN, Farouk SA. In Vivo Glutathione S-Transferases Superfamily Proteome Analysis: An Insight into Aedes albopictus Mosquitoes upon Acute Xenobiotic Challenges. INSECTS 2022; 13:1028. [PMID: 36354852 PMCID: PMC9698486 DOI: 10.3390/insects13111028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 10/29/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
In this study, the induction of glutathione S-transferase (GST) enzymatic activities in Aedes albopictus under 24 h of xenobiotic challenges was investigated. From LCMS analysis, 23 GST isoforms were identified under Delta, Epsilon, Sigma, Zeta, Omega, and Iota classes, together with one GSTX1-1 isoform, in both treated and untreated samples. Using STRING 11.5, the functional enrichment network of Gene Ontology (GO) analysis, the identified peptides were found to be involved in the glutathione metabolic biological process (GO:0006749, p-value: 1.93 × 10−29), and the molecular functions involved are due to glutathione transferase (GO:0016848, p-value: 2.92 × 10−8) aside from carbon-halide lyase activity (GO:004364, p-value: 1.21 × 10−31). The Protein-Protein Interaction (PPI) network (STRING 11.5) showed significant interactions within the GST superfamily and some of the GST classes interacted with other proteins among the input domain of the identified peptides (p-value < 1.0 × 10−16). In TMT labeling for the quantification of peptide abundance, isoforms from Delta (GSTD1-2, GSTD1-3, GSTD1-4) and Epsilon (GSTE3-1, GSTE4-2) were found to be overexpressed (between 1.5-fold and 2-fold changes). In the PPI analysis, 12 common enriched pathways of Kyoto Encyclopedia of Genes and Genomes (KEGG) were found to be intercorrelated with the identified GSTs at PPI enrichment p-value < 1.0 × 10−16. Overall, this study indicates that distinct GST enzymes, which were identified up to their specific protein isoforms, are involved in the metabolic mechanisms underlying xenobiotic stress.
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Affiliation(s)
- Siti Nasuha Hamzah
- School of Biological Sciences, Universiti Sains Malaysia, George Town 11800, Penang, Malaysia
| | - Silas Wintuma Avicor
- Entomology Division, Cocoa Research Institute of Ghana, New Tafo-Akim P.O. Box 8, Ghana
| | - Zazali Alias
- Institute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia
| | - Sarah Abdul Razak
- Institute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia
| | | | - Ting Chuan Hsieh
- School of Biological Sciences, Universiti Sains Malaysia, George Town 11800, Penang, Malaysia
| | - Nurin Nazifa Syanizam
- School of Biological Sciences, Universiti Sains Malaysia, George Town 11800, Penang, Malaysia
| | - Salinah Abdul Farouk
- School of Biological Sciences, Universiti Sains Malaysia, George Town 11800, Penang, Malaysia
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62
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Yue S, Xu P, Cao Z, Zhuang M. PUP-IT2 as an alternative strategy for PUP-IT proximity labeling. Front Mol Biosci 2022; 9:1007720. [PMID: 36250004 PMCID: PMC9558124 DOI: 10.3389/fmolb.2022.1007720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022] Open
Abstract
PUP-IT is a proximity labeling method based on the prokaryotic enzyme PafA. PafA mediates the ligation of Pup, a small peptide, to the proximal proteins. It is different from other proximity labeling methods, such as BioID and APEX, in that both the enzyme and the labeling tag are proteins, which allows for potential in vivo applications. All proximity labeling involves the genetic fusion of the proximity labeling enzyme with the bait protein. However, PafA is a 55 kDa enzyme which sometimes interferes with the bait function. In this study, we tested an alternative proximity labeling strategy, PUP-IT2, in which only a small 7 kDa protein is fused to the bait protein. We examined the activity of PUP-IT2 in vitro and in cells. We also compared it with the original PUP-IT. Finally, we applied PUP-IT2 coupled mass spectrometry to map protein-protein interactions. Overall, we established a new way to use PUP-IT2 for proximity labeling, and this method may have a broad application.
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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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64
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Ye R, Wang M, Du H, Chhajed S, Koh J, Liu KH, Shin J, Wu Y, Shi L, Xu L, Chen S, Zhang Y, Sheen J. Glucose-driven TOR-FIE-PRC2 signalling controls plant development. Nature 2022; 609:986-993. [PMID: 36104568 PMCID: PMC9530021 DOI: 10.1038/s41586-022-05171-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 08/01/2022] [Indexed: 01/24/2023]
Abstract
Nutrients and energy have emerged as central modulators of developmental programmes in plants and animals1-3. The evolutionarily conserved target of rapamycin (TOR) kinase is a master integrator of nutrient and energy signalling that controls growth. Despite its key regulatory roles in translation, proliferation, metabolism and autophagy2-5, little is known about how TOR shapes developmental transitions and differentiation. Here we show that glucose-activated TOR kinase controls genome-wide histone H3 trimethylation at K27 (H3K27me3) in Arabidopsis thaliana, which regulates cell fate and development6-10. We identify FERTILIZATION-INDEPENDENT ENDOSPERM (FIE), an indispensable component of Polycomb repressive complex 2 (PRC2), which catalyses H3K27me3 (refs. 6-8,10-12), as a TOR target. Direct phosphorylation by TOR promotes the dynamic translocation of FIE from the cytoplasm to the nucleus. Mutation of the phosphorylation site on FIE abrogates the global H3K27me3 landscape, reprogrammes the transcriptome and disrupts organogenesis in plants. Moreover, glucose-TOR-FIE-PRC2 signalling modulates vernalization-induced floral transition. We propose that this signalling axis serves as a nutritional checkpoint leading to epigenetic silencing of key transcription factor genes that specify stem cell destiny in shoot and root meristems and control leaf, flower and silique patterning, branching and vegetative-to-reproduction transition. Our findings reveal a fundamental mechanism of nutrient signalling in direct epigenome reprogramming, with broad relevance for the developmental control of multicellular organisms.
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Affiliation(s)
- Ruiqiang Ye
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
| | - Meiyue Wang
- National Key Laboratory of Plant Molecular Genetics, CAS, Centre for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
- University of the Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, China
| | - Hao Du
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Shweta Chhajed
- Department of Biology, Genetics Institute, Plant Molecular and Cellular Biology Program, University of Florida, Gainesville, FL, USA
| | - Jin Koh
- Proteomics and Mass Spectrometry, Interdisciplinary Centre for Biotechnology Research, University of Florida, Gainesville, FL, USA
| | - Kun-Hsiang Liu
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Sciences, and Institute of Future Agriculture, Northwest Agriculture and Forestry University, Yangling, China
| | - Jinwoo Shin
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Yue Wu
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Lin Shi
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Lin Xu
- National Key Laboratory of Plant Molecular Genetics, CAS, Centre for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Sixue Chen
- Department of Biology, Genetics Institute, Plant Molecular and Cellular Biology Program, University of Florida, Gainesville, FL, USA
- Proteomics and Mass Spectrometry, Interdisciplinary Centre for Biotechnology Research, University of Florida, Gainesville, FL, USA
| | - Yijing Zhang
- National Key Laboratory of Plant Molecular Genetics, CAS, Centre for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, China
| | - Jen Sheen
- Department of Molecular Biology and Centre for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA.
- Department of Genetics, Harvard Medical School, Boston, MA, USA.
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65
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CRISPR-Guided Proximity Labeling of RNA–Protein Interactions. Genes (Basel) 2022; 13:genes13091549. [PMID: 36140717 PMCID: PMC9498842 DOI: 10.3390/genes13091549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 12/02/2022] Open
Abstract
Proximity labeling employs modified biotin ligases or peroxidases that produce reactive radicals to covalently label proximate proteins with biotin in living cells. The resulting biotinylated proteins can then be isolated and identified. A combination of programmable DNA targeting and proximity labeling that maps proteomic landscape at DNA elements with dCas9-APEX2 has been established in living cells. However, defining interactome at RNA elements has lagged behind. In combination with RNA-targeting CRISPR-Cas13, proximity labeling can also be used to identify proteins that interact with specific RNA elements in living cells. From this viewpoint, we briefly summarize the latest advances in CRISPR-guided proximity labeling in studying RNA–protein interactions, and we propose applying the most recent engineered proximity-labeling enzymes to study RNA-centric interactions in the future.
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66
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WWOX Controls Cell Survival, Immune Response and Disease Progression by pY33 to pS14 Transition to Alternate Signaling Partners. Cells 2022; 11:cells11142137. [PMID: 35883580 PMCID: PMC9323965 DOI: 10.3390/cells11142137] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/01/2022] [Accepted: 07/03/2022] [Indexed: 02/04/2023] Open
Abstract
Tumor suppressor WWOX inhibits cancer growth and retards Alzheimer’s disease (AD) progression. Supporting evidence shows that the more strongly WWOX binds intracellular protein partners, the weaker is cancer cell growth in vivo. Whether this correlates with retardation of AD progression is unknown. Two functional forms of WWOX exhibit opposite functions. pY33-WWOX is proapoptotic and anticancer, and is essential for maintaining normal physiology. In contrast, pS14-WWOX is accumulated in the lesions of cancers and AD brains, and suppression of WWOX phosphorylation at S14 by a short peptide Zfra abolishes cancer growth and retardation of AD progression. In parallel, synthetic Zfra4-10 or WWOX7-21 peptide strengthens the binding of endogenous WWOX with intracellular protein partners leading to cancer suppression. Indeed, Zfra4-10 is potent in restoring memory loss in triple transgenic mice for AD (3xTg) by blocking the aggregation of amyloid beta 42 (Aβ42), enhancing degradation of aggregated proteins, and inhibiting activation of inflammatory NF-κB. In light of the findings, Zfra4-10-mediated suppression of cancer and AD is due, in part, to an enhanced binding of endogenous WWOX and its binding partners. In this perspective review article, we detail the molecular action of WWOX in the HYAL-2/WWOX/SMAD4 signaling for biological effects, and discuss WWOX phosphorylation forms in interacting with binding partners, leading to suppression of cancer growth and retardation of AD progression.
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67
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Oslund RC, Reyes-Robles T, White CH, Tomlinson JH, Crotty KA, Bowman EP, Chang D, Peterson VM, Li L, Frutos S, Vila-Perelló M, Vlerick D, Cromie K, Perlman DH, Ingale S, Hara SDO, Roberts LR, Piizzi G, Hett EC, Hazuda DJ, Fadeyi OO. Detection of cell-cell interactions via photocatalytic cell tagging. Nat Chem Biol 2022; 18:850-858. [PMID: 35654846 DOI: 10.1038/s41589-022-01044-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 04/22/2022] [Indexed: 02/07/2023]
Abstract
The growing appreciation of immune cell-cell interactions within disease environments has led to extensive efforts to develop immunotherapies. However, characterizing complex cell-cell interfaces in high resolution remains challenging. Thus, technologies leveraging therapeutic-based modalities to profile intercellular environments offer opportunities to study cell-cell interactions with molecular-level insight. We introduce photocatalytic cell tagging (PhoTag) for interrogating cell-cell interactions using single-domain antibodies (VHHs) conjugated to photoactivatable flavin-based cofactors. Following irradiation with visible light, the flavin photocatalyst generates phenoxy radical tags for targeted labeling. Using this technology, we demonstrate selective synaptic labeling across the PD-1/PD-L1 axis in antigen-presenting cell-T cell systems. In combination with multiomics single-cell sequencing, we monitored interactions between peripheral blood mononuclear cells and Raji PD-L1 B cells, revealing differences in transient interactions with specific T cell subtypes. The utility of PhoTag in capturing cell-cell interactions will enable detailed profiling of intercellular communication across different biological systems.
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Affiliation(s)
- Rob C Oslund
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA. .,InduPro, Cambridge, MA, USA.
| | | | - Cory H White
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA
| | - Jake H Tomlinson
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA
| | - Kelly A Crotty
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA
| | - Edward P Bowman
- Discovery Research, Merck & Co., Inc., San Francisco, CA, USA
| | - Dan Chang
- Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA, USA
| | | | - Lixia Li
- Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA, USA
| | | | | | | | | | - David H Perlman
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA
| | - Sampat Ingale
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA
| | | | - Lee R Roberts
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA
| | - Grazia Piizzi
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA
| | - Erik C Hett
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA
| | - Daria J Hazuda
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA.,Infectious Diseases and Vaccine Research, Merck & Co., Inc., West Point, PA, USA
| | - Olugbeminiyi O Fadeyi
- Merck Exploratory Science Center, Merck & Co., Inc., Cambridge, MA, USA. .,InduPro, Cambridge, MA, USA.
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68
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Zhang Y, Xiong X, Zhu Q, Zhang J, Chen S, Wang Y, Cao J, Chen L, Hou L, Zhao X, Hao P, Chen J, Zhuang M, Li D, Fan G. FER-mediated phosphorylation and PIK3R2 recruitment on IRS4 promotes AKT activation and tumorigenesis in ovarian cancer cells. eLife 2022; 11:76183. [PMID: 35550247 PMCID: PMC9098222 DOI: 10.7554/elife.76183] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
Tyrosine phosphorylation, orchestrated by tyrosine kinases and phosphatases, modulates a multi-layered signaling network in a time- and space-dependent manner. Dysregulation of this post-translational modification is inevitably associated with pathological diseases. Our previous work has demonstrated that non-receptor tyrosine kinase FER is upregulated in ovarian cancer, knocking down which attenuates metastatic phenotypes. However, due to the limited number of known substrates in the ovarian cancer context, the molecular basis for its pro-proliferation activity remains enigmatic. Here, we employed mass spectrometry and biochemical approaches to identify insulin receptor substrate 4 (IRS4) as a novel substrate of FER. FER engaged its kinase domain to associate with the PH and PTB domains of IRS4. Using a proximity-based tagging system in ovarian carcinoma-derived OVCAR-5 cells, we determined that FER-mediated phosphorylation of Tyr779 enables IRS4 to recruit PIK3R2/p85β, the regulatory subunit of PI3K, and activate the PI3K-AKT pathway. Rescuing IRS4-null ovarian tumor cells with phosphorylation-defective mutant, but not WT IRS4 delayed ovarian tumor cell proliferation both in vitro and in vivo. Overall, we revealed a kinase-substrate mode between FER and IRS4, and the pharmacological inhibition of FER kinase may be beneficial for ovarian cancer patients with PI3K-AKT hyperactivation.
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Affiliation(s)
- Yanchun Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Xuexue Xiong
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Qi Zhu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Jiali Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Shengmiao Chen
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Yuetong Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Jian Cao
- Department of Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Li Chen
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Linjun Hou
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Xi Zhao
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Piliang Hao
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Jian Chen
- ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Min Zhuang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Dake Li
- Department of Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Gaofeng Fan
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
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69
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Geoghegan V, Mottram JC, Jones NG. Tag Thy Neighbour: Nanometre-Scale Insights Into Kinetoplastid Parasites With Proximity Dependent Biotinylation. Front Cell Infect Microbiol 2022; 12:894213. [PMID: 35601102 PMCID: PMC9120650 DOI: 10.3389/fcimb.2022.894213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
Proximity labelling is a powerful and rapidly developing technology for exploring the interaction space and molecular environment of a protein of interest at the nanometre scale. In proximity labelling, a promiscuous biotinylating enzyme is genetically fused to the protein of interest, initiation of labelling then results in the biotinylating enzyme generating reactive biotin which covalently 'tags' nearby molecules. Importantly, this labelling takes place in vivo whilst the protein of interest continues to perform its normal functions in the cell. Due to its unique advantageous characteristics, proximity labelling is driving discoveries in an ever increasing range of organisms. Here, we highlight the applications of proximity labelling to the study of kinetoplastids, a group of eukaryotic protozoa that includes trypanosomes and Leishmania which can cause serious disease in humans and livestock. We first provide a general overview of the proximity labelling experimental workflow including key labelling enzymes used, proper experimental design with appropriate controls and robust statistical analysis to maximise the amount of reliable spatial information that is generated. We discuss studies employing proximity labelling in kinetoplastid parasites to illustrate how these key principles of experimental design are applied. Finally, we highlight emerging trends in the development of proximity labelling methodology.
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Affiliation(s)
- Vincent Geoghegan
- Department of Biology, York Biomedical Research Institute, University of York, York, United Kingdom
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70
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The MFN1 and MFN2 mitofusins promote clustering between mitochondria and peroxisomes. Commun Biol 2022; 5:423. [PMID: 35523862 PMCID: PMC9076876 DOI: 10.1038/s42003-022-03377-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 04/18/2022] [Indexed: 11/08/2022] Open
Abstract
Mitochondria and peroxisomes are two types of functionally close-related organelles, and both play essential roles in lipid and ROS metabolism. However, how they physically interact with each other is not well understood. In this study, we apply the proximity labeling method with peroxisomal proteins and report that mitochondrial protein mitofusins (MFNs) are in proximity to peroxisomes. Overexpression of MFNs induces not only the mitochondria clustering but also the co-clustering of peroxisomes. We also report the enrichment of MFNs at the mitochondria-peroxisome interface. Induced mitofusin expression gives rise to more mitochondria-peroxisome contacting sites. Furthermore, the tethering of peroxisomes to mitochondria can be inhibited by the expression of a truncated MFN2, which lacks the transmembrane region. Collectively, our study suggests MFNs as regulators for mitochondria-peroxisome contacts. Our findings are essential for future studies of inter-organelle metabolism regulation and signaling, and may help understand the pathogenesis of mitofusin dysfunction-related disease.
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71
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Huang H, Pan R, Zhao Y, Li H, Zhu H, Wang S, Khan AA, Wang J, Liu X. L3MBTL2-mediated CGA transcriptional suppression promotes pancreatic cancer progression through modulating autophagy. iScience 2022; 25:104249. [PMID: 35521536 PMCID: PMC9061862 DOI: 10.1016/j.isci.2022.104249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 09/08/2021] [Accepted: 04/08/2022] [Indexed: 11/28/2022] Open
Abstract
L3MBTL2 is a crucial component of ncPRC1.6 and has been implicated in transcriptional repression and chromatin compaction. However, the repression mechanism of L3MBTL2 and its biological functions are largely undefined. Here, we found that L3MBTL2 plays a distinct oncogenic role in tumor development. We demonstrated that L3MBTL2 repressed downstream CGA through an H2AK119ub1-dependent mechanism. Importantly, the binding of the MGA/MAX heterodimer to the E-box on the CGA promoter enhanced the specific selective repression of CGA by L3MBTL2. CGA encodes the alpha subunit of glycoprotein hormones; however, we showed that CGA plays an individual tumor suppressor role in PDAC. Moreover, CGA-transcript1 (T1) was identified as the major transcript, and the tumor suppression function of CGA-T1 depends on its own glycosylation. Furthermore, glycosylated CGA-T1 inhibited PDAC, partly by repression of autophagy through multiple pathways, including PI3K/Akt/mTOR and TP53INP2 pathways. These findings reveal the important roles of L3MBTL2 and CGA in tumor development. L3MBTL2 plays a distinct oncogenic role in tumor development L3MBTL2 represses CGA transcription mainly by mediating ubiquitination of H2A CGA plays an individual tumor suppressor role in pancreatic cancer Glycosylated CGA inhibited PDAC partly through repression of autophagy
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Affiliation(s)
- Hua Huang
- Center of Excellence for Environmental Safety and Biological Effects, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Corresponding author
| | - Ruining Pan
- Center of Excellence for Environmental Safety and Biological Effects, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Yue Zhao
- Intensive Care Unit, Beijing Tsinghua Changgung Hospital, Beijing 102218, China
| | - Huan Li
- Center of Excellence for Environmental Safety and Biological Effects, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Huiyu Zhu
- School of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China
| | - Sijia Wang
- Center of Excellence for Environmental Safety and Biological Effects, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Aamir Ali Khan
- Center of Excellence for Environmental Safety and Biological Effects, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Juan Wang
- Center of Excellence for Environmental Safety and Biological Effects, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Xinhui Liu
- Center of Excellence for Environmental Safety and Biological Effects, Beijing International Science and Technology Cooperation Base for Antiviral Drugs, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
- Corresponding author
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72
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Proximity labeling methods for proteomic analysis of membrane proteins. J Proteomics 2022; 264:104620. [DOI: 10.1016/j.jprot.2022.104620] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 05/09/2022] [Accepted: 05/10/2022] [Indexed: 11/19/2022]
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73
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Yan J, Zheng X, You W, He W, Xu G. A Bionic-Homodimerization Strategy for Optimizing Modulators of Protein-Protein Interactions: From Statistical Mechanics Theory to Potential Clinical Translation. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2105179. [PMID: 35166067 PMCID: PMC9008432 DOI: 10.1002/advs.202105179] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 01/20/2022] [Indexed: 05/09/2023]
Abstract
Emerging protein-protein interaction (PPI) modulators have brought out exciting ability as therapeutics in human diseases, but its clinical translation has been greatly hampered by the limited affinity. Inspired by the homodimerize structure of antibody, the homodimerization contributes hugely to generating the optimized affinity is conjectured. Herein, a statistical-mechanics-theory-guided method is established to quantize the affinity of ligands with different topologies through analyzing the change of enthalpy and the loss of translational and rotational entropies. A peptide modulator for p53-MDM2 termed CPAP is used to homodimerize connecting, and this simple homodimerization can significantly increase the affinity. To realize the cellular internalization and tumor accumulation, Dimer CPAP and Mono CPAP are nanoengineered into gold(I)-CPAP supermolecule by the aurophilic interaction-driven self-assembly. Nano-Dimer CPAP potently suppressed tumor growth in lung cancer allograft model and a patient-derived xenograft model in more action than Nano-Mono CPAP, while keeping a favorable drug safety profile. This work not only presents a physico-mechanical method for calculating the affinity of PPI modulators, but also provides a simple yet robust homodimerization strategy to optimize the affinity of PPI modulators.
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Affiliation(s)
- Jin Yan
- Department of Tumor and Immunology in Precision Medical Institute and National & Local Joint Engineering Research Center of Biodiagnosis and BiotherapyThe Second Affiliated Hospital of Xi'an Jiaotong UniversityXi'an710004China
| | - Xiaoqiang Zheng
- Institute for Stem Cell & Regenerative MedicineThe Second Affiliated Hospital of Xi'an Jiaotong UniversityXi'an710004China
| | - Weiming You
- Department of Tumor and Immunology in Precision Medical Institute and National & Local Joint Engineering Research Center of Biodiagnosis and BiotherapyThe Second Affiliated Hospital of Xi'an Jiaotong UniversityXi'an710004China
| | - Wangxiao He
- Institute for Stem Cell & Regenerative MedicineThe Second Affiliated Hospital of Xi'an Jiaotong UniversityXi'an710004China
- Department of Medical Oncology and Department of Talent HighlandThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'an710061China
| | - Guang‐Kui Xu
- Laboratory for Multiscale Mechanics and Medical ScienceSVLSchool of Aerospace EngineeringXi'an Jiaotong UniversityXi'an710049China
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Cao H, Wang Y, Zhang N, Xia S, Tian P, Lu L, Du J, Du Y. Progress of CRISPR-Cas13 Mediated Live-Cell RNA Imaging and Detection of RNA-Protein Interactions. Front Cell Dev Biol 2022; 10:866820. [PMID: 35356276 PMCID: PMC8959342 DOI: 10.3389/fcell.2022.866820] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 02/21/2022] [Indexed: 12/26/2022] Open
Abstract
Ribonucleic acid (RNA) and proteins play critical roles in gene expression and regulation. The relevant study increases the understanding of various life processes and contributes to the diagnosis and treatment of different diseases. RNA imaging and mapping RNA-protein interactions expand the understanding of RNA biology. However, the existing methods have some limitations. Recently, precise RNA targeting of CRISPR-Cas13 in cells has been reported, which is considered a new promising platform for RNA imaging in living cells and recognition of RNA-protein interactions. In this review, we first described the current findings on Cas13. Furthermore, we introduced current tools of RNA real-time imaging and mapping RNA-protein interactions and highlighted the latest advances in Cas13-mediated tools. Finally, we discussed the advantages and disadvantages of Cas13-based methods, providing a set of new ideas for the optimization of Cas13-mediated methods.
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Affiliation(s)
- Huake Cao
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- First School of Clinical Medicine, Anhui Medical University, Hefei, China
| | - Yuechen Wang
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- Second School of Clinical Medicine, Anhui Medical University, Hefei, China
| | - Ning Zhang
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- First School of Clinical Medicine, Anhui Medical University, Hefei, China
- First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Siyuan Xia
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- Second School of Clinical Medicine, Anhui Medical University, Hefei, China
| | - Pengfei Tian
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- First School of Clinical Medicine, Anhui Medical University, Hefei, China
- First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Li Lu
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Juan Du
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, China
- Longgang District People’s Hospital of Shenzhen & The Second Affiliated Hospital, The Chinese University of Hong Kong, Shenzhen, China
- *Correspondence: Yinan Du, ; Juan Du,
| | - Yinan Du
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- *Correspondence: Yinan Du, ; Juan Du,
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75
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Guo X. Localized Proteasomal Degradation: From the Nucleus to Cell Periphery. Biomolecules 2022; 12:biom12020229. [PMID: 35204730 PMCID: PMC8961600 DOI: 10.3390/biom12020229] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 12/31/2022] Open
Abstract
The proteasome is responsible for selective degradation of most cellular proteins. Abundantly present in the cell, proteasomes not only diffuse in the cytoplasm and the nucleus but also associate with the chromatin, cytoskeleton, various membranes and membraneless organelles/condensates. How and why the proteasome gets to these specific subcellular compartments remains poorly understood, although increasing evidence supports the hypothesis that intracellular localization may have profound impacts on the activity, substrate accessibility and stability/integrity of the proteasome. In this short review, I summarize recent advances on the functions, regulations and targeting mechanisms of proteasomes, especially those localized to the nuclear condensates and membrane structures of the cell, and I discuss the biological significance thereof in mediating compartmentalized protein degradation.
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Affiliation(s)
- Xing Guo
- Life Sciences Institute, Zhejiang University, Hangzhou 310058, China;
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Hangzhou 310058, China
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76
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Pfeiffer CT, Paulo JA, Gygi SP, Rockman HA. Proximity labeling for investigating protein-protein interactions. Methods Cell Biol 2022; 169:237-266. [PMID: 35623704 PMCID: PMC10782847 DOI: 10.1016/bs.mcb.2021.12.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The study of protein complexes and protein-protein interactions is of great importance due to their fundamental roles in cellular function. Proximity labeling, often coupled with mass spectrometry, has become a powerful and versatile tool for studying protein-protein interactions by enriching and identifying proteins in the vicinity of a specified protein-of-interest. Here, we describe and compare traditional approaches to investigate protein-protein interactions to current day state-of-the-art proximity labeling methods. We focus on the wide array of proximity labeling strategies and underscore studies using diverse model systems to address numerous biological questions. In addition, we highlight current advances in mass spectrometry-based technology that exhibit promise in improving the depth and breadth of the data acquired in proximity labeling experiments. In all, we show the diversity of proximity labeling strategies and emphasize the broad range of applications and biological inquiries that can be addressed using this technology.
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Affiliation(s)
- Conrad T Pfeiffer
- Department of Medicine, Duke University Medical Center, Durham, NC, United States
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, MA, United States
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA, United States
| | - Howard A Rockman
- Department of Medicine, Duke University Medical Center, Durham, NC, United States; Department of Cell Biology, Duke University Medical Center, Durham, NC, United States.
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77
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Zheng J, Chen X, Liu Q, Zhong G, Zhuang M. Ubiquitin ligase MARCH5 localizes to peroxisomes to regulate pexophagy. J Cell Biol 2022; 221:212749. [PMID: 34747980 PMCID: PMC8579195 DOI: 10.1083/jcb.202103156] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 09/04/2021] [Accepted: 10/21/2021] [Indexed: 11/22/2022] Open
Abstract
Mitochondria and peroxisomes are independent but functionally closely related organelles. A few proteins have been characterized as dual-organelle locating proteins with distinct or similar roles on mitochondria and peroxisomes. MARCH5 is a mitochondria-associated ubiquitin ligase best known for its regulatory role in mitochondria quality control, fission, and fusion. Here, we used a proximity tagging system, PUP-IT, and identified new interacting proteins of MARCH5. Our data uncover that MARCH5 is a dual-organelle locating protein that interacts with several peroxisomal proteins. PEX19 binds the transmembrane region on MARCH5 and targets it to peroxisomes. On peroxisomes, MARCH5 binds and mediates the ubiquitination of PMP70. Furthermore, we find PMP70 ubiquitination and pexophagy induced by mTOR inhibition are blocked in the absence of MARCH5. Our study suggests novel roles of MARCH5 on peroxisomes.
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Affiliation(s)
- Jun Zheng
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.,Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xi Chen
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Qiang Liu
- Key Laboratory of Women's Reproductive Health Research of Zhejiang Province, Women's Hospital, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, China
| | - Guisheng Zhong
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.,iHuman Institute, ShanghaiTech University, Shanghai, China
| | - Min Zhuang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
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78
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Yang W, Huang Z, Xu Z, Ma X, Huang S, Li J, Li J, Yang H. Selective and Nongenetic Peroxidase Tag of Membrane Protein: a Nucleic Acid Tool for Proximity Labeling. Anal Chem 2021; 94:1101-1107. [PMID: 34968407 DOI: 10.1021/acs.analchem.1c04148] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
The protein nanoenvironment on the plasma membrane is intimately linked to cellular biological functions. Elucidation of the protein nanoenvironment contributes to understanding the pathological mechanism and discovery of disease biomarkers. However, methods enabling characterization of the protein nanoenvironment in the endogenous biological environment have been rarely developed. Toward this end, we created a nucleic acid tool called Apt-Gq/h for proximity labeling to decipher the endogenous protein nanoenvironment. Here, the aptamer acts as an anchor for binding the protein of interest (POI). The G-quadruplex/hemin complex induces proximity labeling of POI via catalyzing the conversion of inert small-molecule substrates into short-lived reactive species. The labeled proteins enable the subsequent affinity-based enrichment and proteomic analysis. We first characterized Apt-Gq/h-mediated POI labeling in vitro and tested its utility by interrogating the protein nanoenvironment of POI in living cells. Taking advantage of the nongenetic, multiple reaction sites, and rapid proximity labeling, Apt-Gq/h was further utilized to imaging the cell-cell connection and amplification detection of biomarkers in living cells and tissue sections. We believe that Apt-Gq/h will be a potential tool for basic science and clinical applications.
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Affiliation(s)
- Wen Yang
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Zixiang Huang
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Zhifei Xu
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Xin Ma
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Shan Huang
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Jingying Li
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China.,College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Juan Li
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Huanghao Yang
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
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79
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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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80
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Lin X, Fonseca MAS, Breunig JJ, Corona RI, Lawrenson K. In vivo discovery of RNA proximal proteins via proximity-dependent biotinylation. RNA Biol 2021; 18:2203-2217. [PMID: 34006179 PMCID: PMC8648264 DOI: 10.1080/15476286.2021.1917215] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 02/16/2021] [Accepted: 04/10/2021] [Indexed: 12/12/2022] Open
Abstract
RNA molecules function as messenger RNAs (mRNAs) that encode proteins and noncoding transcripts that serve as adaptor molecules, structural components, and regulators of genome organization and gene expression. Their function and regulation are largely mediated by RNA binding proteins (RBPs). Here we present RNA proximity labelling (RPL), an RNA-centric method comprising the endonuclease-deficient Type VI CRISPR-Cas protein dCas13b fused to engineered ascorbate peroxidase APEX2. RPL discovers target RNA proximal proteins in vivo via proximity-based biotinylation. RPL applied to U1 identified proteins involved in both U1 canonical and noncanonical functions. Profiling of poly(A) tail proximal proteins uncovered expected categories of RBPs and provided additional evidence for 5'-3' proximity and unexplored subcellular localizations of poly(A)+ RNA. Our results suggest that RPL allows rapid identification of target RNA binding proteins in native cellular contexts, and is expected to pave the way for discovery of novel RNA-protein interactions important for health and disease.
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Affiliation(s)
- Xianzhi Lin
- Cedars-Sinai Medical Center, Women’s Cancer Research Program at Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Marcos A. S. Fonseca
- Cedars-Sinai Medical Center, Women’s Cancer Research Program at Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Joshua J. Breunig
- Cedars-Sinai Medical Center, Board of Governors Regenerative Medicine Institute, Los Angeles, CA, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Cedars-Sinai Medical Center, Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Rosario I. Corona
- Cedars-Sinai Medical Center, Women’s Cancer Research Program at Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kate Lawrenson
- Cedars-Sinai Medical Center, Women’s Cancer Research Program at Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Cedars-Sinai Medical Center, Center for Bioinformatics and Functional Genomics, Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
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81
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Abstract
Although long noncoding RNAs (lncRNAs) are generally expressed at low levels, emerging evidence has revealed that many play important roles in gene regulation by a variety of mechanisms as they engage with proteins. Given that the abundance of proteins often greatly exceeds that of their interacting lncRNAs, quantification of the relative abundance, or even the exact stoichiometry in some cases, within lncRNA-protein complexes is helpful for understanding of the mechanism(s) of action of lncRNAs. We discuss methods used to examine lncRNA and protein expression at the single cell, subcellular, and suborganelle levels, the average and local lncRNA concentration in cells, as well as how lncRNAs can modulate the functions of their interacting proteins even at a low stoichiometric concentration.
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Affiliation(s)
- Man Wu
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Liang-Zhong Yang
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ling-Ling Chen
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
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82
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Shkel O, Kharkivska Y, Kim YK, Lee JS. Proximity Labeling Techniques: A Multi-Omics Toolbox. Chem Asian J 2021; 17:e202101240. [PMID: 34850572 DOI: 10.1002/asia.202101240] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/29/2021] [Indexed: 01/17/2023]
Abstract
Proximity labeling techniques are emerging high-throughput methods for studying protein-protein, protein-RNA, and protein-DNA interactions with temporal and spatial precision. Proximity labeling methods take advantage of enzymes that can covalently label biomolecules with reactive substrates. These labeled biomolecules can be identified using mass spectrometry or next-generation sequencing. The main advantage of these methods is their ability to capture weak or transient interactions between biomolecules. Proximity labeling is indispensable for studying organelle interactomes. Additionally, it can be used to resolve spatial composition of macromolecular complexes. Many of these methods have only recently been introduced; nonetheless, they have already provided new and deep insights into the biological processes at the cellular, organ, and organism levels. In this paper, we review a broad range of proximity labeling techniques, their development, drawbacks and advantages, and implementations in recent studies.
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Affiliation(s)
- Olha Shkel
- Convergence Research Center for Diagnosis Treatment and Care System of Dementia, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Yevheniia Kharkivska
- Convergence Research Center for Diagnosis Treatment and Care System of Dementia, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Yun Kyung Kim
- Convergence Research Center for Diagnosis Treatment and Care System of Dementia, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Jun-Seok Lee
- Department of Pharmacology, Korea University College of Medicine, Seoul, Republic of Korea
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83
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Li T, Yang X, Feng Z, Nie W, Fang Z, Zou Y. P5A ATPase controls ER translocation of Wnt in neuronal migration. Cell Rep 2021; 37:109901. [PMID: 34706230 DOI: 10.1016/j.celrep.2021.109901] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 08/09/2021] [Accepted: 10/06/2021] [Indexed: 11/28/2022] Open
Abstract
The Wnt family contains conserved secretory proteins required for developmental patterning and tissue homeostasis. However, how Wnt is targeted to the endoplasmic reticulum (ER) for processing and secretion remains poorly understood. Here, we report that CATP-8/P5A ATPase directs neuronal migration non-cell autonomously in Caenorhabditis elegans by regulating EGL-20/Wnt biogenesis. CATP-8 likely functions as a translocase to translocate nascent EGL-20/Wnt polypeptide into the ER by interacting with the highly hydrophobic core region of EGL-20 signal sequence. Such regulation of Wnt biogenesis by P5A ATPase is common in C. elegans and conserved in human cells. These findings describe the physiological roles of P5A ATPase in neural development and identify Wnt proteins as direct substrates of P5A ATPase for ER translocation.
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Affiliation(s)
- Tingting Li
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoyan Yang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhigang Feng
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Wang Nie
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhiyu Fang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yan Zou
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
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84
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Martino E, Chiarugi S, Margheriti F, Garau G. Mapping, Structure and Modulation of PPI. Front Chem 2021; 9:718405. [PMID: 34692637 PMCID: PMC8529325 DOI: 10.3389/fchem.2021.718405] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/21/2021] [Indexed: 11/13/2022] Open
Abstract
Because of the key relevance of protein–protein interactions (PPI) in diseases, the modulation of protein-protein complexes is of relevant clinical significance. The successful design of binding compounds modulating PPI requires a detailed knowledge of the involved protein-protein system at molecular level, and investigation of the structural motifs that drive the association of the proteins at the recognition interface. These elements represent hot spots of the protein binding free energy, define the complex lifetime and possible modulation strategies. Here, we review the advanced technologies used to map the PPI involved in human diseases, to investigate the structure-function features of protein complexes, and to discover effective ligands that modulate the PPI for therapeutic intervention.
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Affiliation(s)
- Elisa Martino
- Laboratorio NEST, Scuola Normale Superiore, Pisa, Italy
| | - Sara Chiarugi
- Laboratorio NEST, Scuola Normale Superiore, Pisa, Italy.,BioStructures Lab, Istituto Italiano di Tecnologia (IIT@NEST), Pisa, Italy
| | | | - Gianpiero Garau
- BioStructures Lab, Istituto Italiano di Tecnologia (IIT@NEST), Pisa, Italy
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85
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Xie S, Li H, Yao F, Huang J, Yang X, Chen X, Liu Q, Zhuang M, He S. PUPIL enables mapping and stamping of transient electrical connectivity in developing nervous systems. Cell Rep 2021; 37:109853. [PMID: 34686323 DOI: 10.1016/j.celrep.2021.109853] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 08/25/2021] [Accepted: 09/28/2021] [Indexed: 10/20/2022] Open
Abstract
Currently, many genetic methods are available for mapping chemical connectivity, but analogous methods for electrical synapses are lacking. Here, we present pupylation-based interaction labeling (PUPIL), a genetically encoded system for noninvasively mapping and stamping transient electrical synapses in the mouse brain. Upon fusion of connexin 26 (CX26) with the ligase PafA, pupylation yields tag puncta following conjugation of its substrate, a biotin- or fluorescent-protein-tagged PupE, to the neighboring proteins of electrical synapses containing CX26-PafA. Tag puncta are validated to correlate well with functional electrical synapses in immature neurons. Furthermore, puncta are retained in mature neurons when electrical synapses mostly disappear-suggesting successful stamping. We use PUPIL to uncover spatial subcellular localizations of electrical synapses and approach their physiological functions during development. Thus, PUPIL is a powerful tool for probing electrical connectivity patterns in complex nervous systems and has great potential for transient receptors and ion channels as well.
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Affiliation(s)
- Shu Xie
- School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong New District, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing, China
| | - Haixiang Li
- School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong New District, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing, China
| | - Fenyong Yao
- School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong New District, Shanghai 201210, China
| | - Jiechang Huang
- School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong New District, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing, China
| | - Xiaomei Yang
- School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong New District, Shanghai 201210, China
| | - Xin Chen
- School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong New District, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing, China
| | - Qiang Liu
- School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong New District, Shanghai 201210, China; Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing, China
| | - Min Zhuang
- School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong New District, Shanghai 201210, China
| | - Shuijin He
- School of Life Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Pudong New District, Shanghai 201210, China.
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86
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Choi CR, Rhee HW. Proximity labeling: an enzymatic tool for spatial biology. Trends Biotechnol 2021; 40:145-148. [PMID: 34663510 DOI: 10.1016/j.tibtech.2021.09.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/20/2021] [Accepted: 09/20/2021] [Indexed: 12/24/2022]
Abstract
In this Forum, we highlight how cutting-edge, proximity-dependent, enzymatic labeling tools, aided by sequencing technology developments, have enabled the extraction of spatial information of proteomes, transcriptomes, genome organization, and cellular networks. We also discuss the potential applications of proximity labeling in the unexplored field of spatial biology in live systems.
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Affiliation(s)
- Chang-Ryul Choi
- Department of Chemistry, Seoul National University, Seoul 08826, 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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87
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Siva Sankar D, Dengjel J. Protein complexes and neighborhoods driving autophagy. Autophagy 2021; 17:2689-2705. [PMID: 33183148 PMCID: PMC8526019 DOI: 10.1080/15548627.2020.1847461] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 10/16/2020] [Accepted: 11/02/2020] [Indexed: 01/02/2023] Open
Abstract
Autophagy summarizes evolutionarily conserved, intracellular degradation processes targeting cytoplasmic material for lysosomal degradation. These encompass constitutive processes as well as stress responses, which are often found dysregulated in diseases. Autophagy pathways help in the clearance of damaged organelles, protein aggregates and macromolecules, mediating their recycling and maintaining cellular homeostasis. Protein-protein interaction networks contribute to autophagosome biogenesis, substrate loading, vesicular trafficking and fusion, protein translocations across membranes and degradation in lysosomes. Hypothesis-free proteomic approaches tremendously helped in the functional characterization of protein-protein interactions to uncover molecular mechanisms regulating autophagy. In this review, we elaborate on the importance of understanding protein-protein-interactions of varying affinities and on the strengths of mass spectrometry-based proteomic approaches to study these, generating new mechanistic insights into autophagy regulation. We discuss in detail affinity purification approaches and recent developments in proximity labeling coupled to mass spectrometry, which uncovered molecular principles of autophagy mechanisms.Abbreviations: AMPK: AMP-activated protein kinase; AP-MS: affinity purification-mass spectrometry; APEX2: ascorbate peroxidase-2; ATG: autophagy related; BioID: proximity-dependent biotin identification; ER: endoplasmic reticulum; GFP: green fluorescent protein; iTRAQ: isobaric tag for relative and absolute quantification; MS: mass spectrometry; PCA: protein-fragment complementation assay; PL-MS: proximity labeling-mass spectrometry; PtdIns3P: phosphatidylinositol-3-phosphate; PTM: posttranslational modification; PUP-IT: pupylation-based interaction tagging; RFP: red fluorescent protein; SILAC: stable isotope labeling by amino acids in cell culture; TAP: tandem affinity purification; TMT: tandem mass tag.
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Affiliation(s)
| | - Jörn Dengjel
- Department of Biology, University of Fribourg, Fribourg, Switzerland
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88
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Kimmel J, Kehrer J, Frischknecht F, Spielmann T. Proximity-dependent biotinylation approaches to study apicomplexan biology. Mol Microbiol 2021; 117:553-568. [PMID: 34587292 DOI: 10.1111/mmi.14815] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 09/20/2021] [Indexed: 11/28/2022]
Abstract
In the last 10 years, proximity-dependent biotinylation (PDB) techniques greatly expanded the ability to study protein environments in the living cell that range from specific protein complexes to entire compartments. This is achieved by using enzymes such as BirA* and APEX that are fused to proteins of interest and biotinylate proteins in their proximity. PDB techniques are now also increasingly used in apicomplexan parasites. In this review, we first give an overview of the main PDB approaches and how they compare with other techniques that address similar questions. PDB is particularly valuable to detect weak or transient protein associations under physiological conditions and to study cellular structures that are difficult to purify or have a poorly understood protein composition. We also highlight new developments such as novel smaller or faster-acting enzyme variants and conditional PDB approaches, providing improvements in both temporal and spatial resolution which may offer broader application possibilities useful in apicomplexan research. In the second part, we review work using PDB techniques in apicomplexan parasites and how this expanded our knowledge about these medically important parasites.
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Affiliation(s)
- Jessica Kimmel
- Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Jessica Kehrer
- Integrative Parasitology, Center for Infectious Diseases, Heidelberg University Medical School, Heidelberg, Germany.,German Center for Infectious Disease Research, DZIF, Heidelberg, Germany
| | - Friedrich Frischknecht
- Integrative Parasitology, Center for Infectious Diseases, Heidelberg University Medical School, Heidelberg, Germany.,German Center for Infectious Disease Research, DZIF, Heidelberg, Germany
| | - Tobias Spielmann
- Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
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89
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Zhang B, Zhang Y, Liu JL. Highly effective proximate labeling in Drosophila. G3-GENES GENOMES GENETICS 2021; 11:6173991. [PMID: 33724396 PMCID: PMC8104946 DOI: 10.1093/g3journal/jkab077] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 02/05/2021] [Indexed: 12/16/2022]
Abstract
The protein-protein interaction (PPI) is a basic strategy for life to operate. The analysis of PPIs in multicellular organisms is very important but extremely challenging because PPIs are particularly dynamic and variable among different development stages, tissues, cells, and even organelles. Therefore, understanding PPI needs a good resolution of time and space. More importantly, understanding in vivo PPI needs to be realized in situ. Proximity-based biotinylation combined with mass spectrometry (MS) has emerged as a powerful approach to study PPI networks and protein subcellular compartmentation. TurboID, the newly engineered promiscuous ligase, has been reported to label proximate proteins effectively in various species. In Drosophila, we systematically apply TurboID-mediated biotinylation in a wide range of developmental stages and tissues, and demonstrate the feasibility of TurboID-mediated labeling system in desired cell types. For a proof-of-principle, we use the TurboID-mediated biotinylation coupled with MS to distinguish CTP synthase with or without the ability to form filamentous cytoophidia, retrieving two distinct sets of proximate proteomes. Therefore, this makes it possible to map PPIs in vivo and in situ at a defined spatiotemporal resolution, and demonstrates a referable resource for cytoophidium proteome in Drosophila.
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Affiliation(s)
- Bo Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.,Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuanbing Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.,Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ji-Long Liu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.,Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3PT, UK
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90
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Mattola S, Hakanen S, Salminen S, Aho V, Mäntylä E, Ihalainen TO, Kann M, Vihinen-Ranta M. Concepts to Reveal Parvovirus-Nucleus Interactions. Viruses 2021; 13:1306. [PMID: 34372512 PMCID: PMC8310053 DOI: 10.3390/v13071306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/24/2021] [Accepted: 07/02/2021] [Indexed: 01/23/2023] Open
Abstract
Parvoviruses are small single-stranded (ss) DNA viruses, which replicate in the nucleoplasm and affect both the structure and function of the nucleus. The nuclear stage of the parvovirus life cycle starts at the nuclear entry of incoming capsids and culminates in the successful passage of progeny capsids out of the nucleus. In this review, we will present past, current, and future microscopy and biochemical techniques and demonstrate their potential in revealing the dynamics and molecular interactions in the intranuclear processes of parvovirus infection. In particular, a number of advanced techniques will be presented for the detection of infection-induced changes, such as DNA modification and damage, as well as protein-chromatin interactions.
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Affiliation(s)
- Salla Mattola
- Department of Biological and Environmental Science, University of Jyvaskyla, 40500 Jyvaskyla, Finland; (S.M.); (S.H.); (S.S.); (V.A.)
| | - Satu Hakanen
- Department of Biological and Environmental Science, University of Jyvaskyla, 40500 Jyvaskyla, Finland; (S.M.); (S.H.); (S.S.); (V.A.)
| | - Sami Salminen
- Department of Biological and Environmental Science, University of Jyvaskyla, 40500 Jyvaskyla, Finland; (S.M.); (S.H.); (S.S.); (V.A.)
| | - Vesa Aho
- Department of Biological and Environmental Science, University of Jyvaskyla, 40500 Jyvaskyla, Finland; (S.M.); (S.H.); (S.S.); (V.A.)
| | - Elina Mäntylä
- BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland; (E.M.); (T.O.I.)
| | - Teemu O. Ihalainen
- BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland; (E.M.); (T.O.I.)
| | - Michael Kann
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 41390 Gothenburg, Sweden;
- Department of Clinical Microbiology, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
| | - Maija Vihinen-Ranta
- Department of Biological and Environmental Science, University of Jyvaskyla, 40500 Jyvaskyla, Finland; (S.M.); (S.H.); (S.S.); (V.A.)
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91
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Low TY, Syafruddin SE, Mohtar MA, Vellaichamy A, A Rahman NS, Pung YF, Tan CSH. Recent progress in mass spectrometry-based strategies for elucidating protein-protein interactions. Cell Mol Life Sci 2021; 78:5325-5339. [PMID: 34046695 PMCID: PMC8159249 DOI: 10.1007/s00018-021-03856-0] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/03/2021] [Accepted: 05/14/2021] [Indexed: 02/07/2023]
Abstract
Protein-protein interactions are fundamental to various aspects of cell biology with many protein complexes participating in numerous fundamental biological processes such as transcription, translation and cell cycle. MS-based proteomics techniques are routinely applied for characterising the interactome, such as affinity purification coupled to mass spectrometry that has been used to selectively enrich and identify interacting partners of a bait protein. In recent years, many orthogonal MS-based techniques and approaches have surfaced including proximity-dependent labelling of neighbouring proteins, chemical cross-linking of two interacting proteins, as well as inferring PPIs from the co-behaviour of proteins such as the co-fractionating profiles and the thermal solubility profiles of proteins. This review discusses the underlying principles, advantages, limitations and experimental considerations of these emerging techniques. In addition, a brief account on how MS-based techniques are used to investigate the structural and functional properties of protein complexes, including their topology, stoichiometry, copy number and dynamics, are discussed.
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Affiliation(s)
- Teck Yew Low
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), Jalan Yaacob Latiff, Bandar Tun Razak, 56000, Kuala Lumpur, Malaysia.
| | - Saiful Effendi Syafruddin
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), Jalan Yaacob Latiff, Bandar Tun Razak, 56000, Kuala Lumpur, Malaysia
| | - M Aiman Mohtar
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), Jalan Yaacob Latiff, Bandar Tun Razak, 56000, Kuala Lumpur, Malaysia
| | | | - Nisa Syakila A Rahman
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia (UKM), Jalan Yaacob Latiff, Bandar Tun Razak, 56000, Kuala Lumpur, Malaysia
| | - Yuh-Fen Pung
- Division of Biomedical Science, University of Nottingham Malaysia, 43500, Semenyih, Malaysia
| | - Chris Soon Heng Tan
- Department of Chemistry, College of Science , Southern University of Science and Technology, Shenzhen, 518055, China.
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92
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Strategy for high-throughput identification of protein complexes by array-based multi-dimensional liquid chromatography-mass spectrometry. J Chromatogr A 2021; 1652:462351. [PMID: 34174714 DOI: 10.1016/j.chroma.2021.462351] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 05/23/2021] [Accepted: 06/07/2021] [Indexed: 11/22/2022]
Abstract
Comprehensive elucidation of the composition of multiprotein complexes in model organisms is essential to understand conserved biological systems, but large-scale mapping physical association networks is still challenging due to limited throughput of present methods. In this work, a strategy coupling array-based online two-dimensional liquid chromatography (array-based 2D-LC) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) was demonstrated for high throughput and in-depth identification of protein complexes from cultured human HeLa cell extracts. Mixed-bed ion-exchange column was employed as the first dimensional (1stD) separating mode and an array consisting of eight reversed phase columns was developed as the second dimensional (2ndD) mode. Taking advantage of array parallel strategy, this online system showed an 8-fold increase in throughput. After array-based online 2D-LC separation, altogether 256 × 2ndD fractions were collected for further LC-MS/MS analysis. Public databases of protein-protein interaction (PPI) and co-elution curves identified by LC-MS were applied to reconstruct the protein complexes. A rigorous inspection was operated by cataloging the protein complexes into chromatographic fractions to minimize the number of false positives. As result, a total number of 4,436 proteins were identified and 26,092 elution curves were graphed. A network consisting of 47,745 PPIs was established among 2,201 proteins and presented 1,530 putative protein complexes with high confidence. Most of the identified PPIs were linked to diverse biological processes and may reveal further disease mechanism and therapeutic strategy.
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93
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Strategies for monitoring cell-cell interactions. Nat Chem Biol 2021; 17:641-652. [PMID: 34035514 DOI: 10.1038/s41589-021-00790-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 03/30/2021] [Indexed: 02/03/2023]
Abstract
Multicellular organisms depend on physical cell-cell interactions to control physiological processes such as tissue formation, neurotransmission and immune response. These intercellular binding events can be both highly dynamic in their duration and complex in their composition, involving the participation of many different surface and intracellular biomolecules. Untangling the intricacy of these interactions and the signaling pathways they modulate has greatly improved insight into the biological processes that ensue upon cell-cell engagement and has led to the development of protein- and cell-based therapeutics. The importance of monitoring physical cell-cell interactions has inspired the development of several emerging approaches that effectively interrogate cell-cell interfaces with molecular-level detail. Specifically, the merging of chemistry- and biology-based technologies to deconstruct the complexity of cell-cell interactions has provided new avenues for understanding cell-cell interaction biology and opened opportunities for therapeutic development.
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94
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Sun W, Zhang Z, Liu JL, Zhuang M. A New Method for Studying RNA-binding Proteins on Specific RNAs. Bio Protoc 2021; 11:e4022. [PMID: 34150929 DOI: 10.21769/bioprotoc.4022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 02/02/2021] [Accepted: 02/28/2021] [Indexed: 12/26/2022] Open
Abstract
Proximity-based protein labeling has been developed to identify protein-nucleic acid interactions. We have reported a novel method termed CRUIS (CRISPR-based RNA-United Interacting System), which captures RNA-protein interactions in living cells by combining the RNA-binding capacity of CRISPR/Cas13 and the proximity-tagging activity of PUP-IT. Enzymatically deactivated Cas13a (dCas13a) is fused to the proximity labeling enzyme PafA. In the presence of a guide RNA, dCas13a binds specific target RNA region, while the fused PafA mediates the labeling of biotin-tagged Pup on proximal proteins. The labeled proteins can be enriched by streptavidin pull-down and identified by mass spectrometry. Here we describe the general procedure for capturing RNA-protein interactions using this method.
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Affiliation(s)
- Weiping Sun
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.,University of Chinese Academy of Sciences, Beijing, China.,Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Ziheng Zhang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.,University of Chinese Academy of Sciences, Beijing, China.,Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Ji-Long Liu
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Min Zhuang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
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95
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Li M, Xi N, Liu L. Peak force tapping atomic force microscopy for advancing cell and molecular biology. NANOSCALE 2021; 13:8358-8375. [PMID: 33913463 DOI: 10.1039/d1nr01303c] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The advent of atomic force microscopy (AFM) provides an exciting tool to detect molecular and cellular behaviors under aqueous conditions. AFM is able to not only visualize the surface topography of the specimens, but also can quantify the mechanical properties of the specimens by force spectroscopy assay. Nevertheless, integrating AFM topographic imaging with force spectroscopy assay has long been limited due to the low spatiotemporal resolution. In recent years, the appearance of a new AFM imaging mode called peak force tapping (PFT) has shattered this limit. PFT allows AFM to simultaneously acquire the topography and mechanical properties of biological samples with unprecedented spatiotemporal resolution. The practical applications of PFT in the field of life sciences in the past decade have demonstrated the excellent capabilities of PFT in characterizing the fine structures and mechanics of living biological systems in their native states, offering novel possibilities to reveal the underlying mechanisms guiding physiological/pathological activities. In this paper, the recent progress in cell and molecular biology that has been made with the utilization of PFT is summarized, and future perspectives for further progression and biomedical applications of PFT are provided.
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Affiliation(s)
- Mi Li
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China and Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China and University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Ning Xi
- Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong 999077, China
| | - Lianqing Liu
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China and Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China and University of Chinese Academy of Sciences, Beijing 100049, China.
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96
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Bao H. Developing Nanodisc-ID for label-free characterizations of membrane proteins. Commun Biol 2021; 4:514. [PMID: 33931748 PMCID: PMC8087782 DOI: 10.1038/s42003-021-02043-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 03/25/2021] [Indexed: 02/07/2023] Open
Abstract
Membrane proteins (MPs) influence all aspects of life, such as tumorigenesis, immune response, and neural transmission. However, characterization of MPs is challenging, as it often needs highly specialized techniques inaccessible to many labs. We herein introduce nanodisc-ID that enables quantitative analysis of membrane proteins using a gel electrophoresis readout. By leveraging the power of nanodiscs and proximity labeling, nanodisc-ID serves both as scaffolds for encasing biochemical reactions and as sensitive reagents for detecting membrane protein-lipid and protein-protein interactions. We demonstrate this label-free and low-cost tool by characterizing a wide range of integral and peripheral membrane proteins from prokaryotes and eukaryotes.
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Affiliation(s)
- Huan Bao
- Department of Molecular Medicine, The Scripps Research Institute, Jupiter, FL, USA.
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97
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Zapatero-Belinchón FJ, Carriquí-Madroñal B, Gerold G. Proximity labeling approaches to study protein complexes during virus infection. Adv Virus Res 2021; 109:63-104. [PMID: 33934830 DOI: 10.1016/bs.aivir.2021.02.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Cellular compartmentalization of proteins and protein complex formation allow cells to tightly control biological processes. Therefore, understanding the subcellular localization and interactions of a specific protein is crucial to uncover its biological function. The advent of proximity labeling (PL) has reshaped cellular proteomics in infection biology. PL utilizes a genetically modified enzyme that generates a "labeling cloud" by covalently labeling proteins in close proximity to the enzyme. Fusion of a PL enzyme to a specific antibody or a "bait" protein of interest in combination with affinity enrichment mass spectrometry (AE-MS) enables the isolation and identification of the cellular proximity proteome, or proxisome. This powerful methodology has been paramount for the mapping of membrane or membraneless organelles as well as for the understanding of hard-to-purify protein complexes, such as those of transmembrane proteins. Unsurprisingly, more and more infection biology research groups have recognized the potential of PL for the identification of host-pathogen interactions. In this chapter, we introduce the enzymes commonly used for PL labeling as well as recent promising advancements and summarize the major achievements in organelle mapping and nucleic acid PL. Moreover, we comprehensively describe the research on host-pathogen interactions using PL, giving special attention to studies in the field of virology.
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Affiliation(s)
- Francisco José Zapatero-Belinchón
- Department of Biochemistry & Research Center for Emerging Infections and Zoonoses (RIZ), University of Veterinary Medicine Hannover, Hannover, Germany; Institute for Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, a Joint Venture Between the Medical School Hannover and the Helmholtz Centre for Infection Research, Hannover, Germany; Department of Clinical Microbiology, Virology, Umeå University, Umeå, Sweden; Wallenberg Centre for Molecular Medicine (WCMM), Umeå University, Umeå, Sweden.
| | - Belén Carriquí-Madroñal
- Department of Biochemistry & Research Center for Emerging Infections and Zoonoses (RIZ), University of Veterinary Medicine Hannover, Hannover, Germany; Institute for Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, a Joint Venture Between the Medical School Hannover and the Helmholtz Centre for Infection Research, Hannover, Germany
| | - Gisa Gerold
- Department of Biochemistry & Research Center for Emerging Infections and Zoonoses (RIZ), University of Veterinary Medicine Hannover, Hannover, Germany; Institute for Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, a Joint Venture Between the Medical School Hannover and the Helmholtz Centre for Infection Research, Hannover, Germany; Department of Clinical Microbiology, Virology, Umeå University, Umeå, Sweden; Wallenberg Centre for Molecular Medicine (WCMM), Umeå University, Umeå, Sweden.
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98
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Weissinger R, Heinold L, Akram S, Jansen RP, Hermesh O. RNA Proximity Labeling: A New Detection Tool for RNA-Protein Interactions. Molecules 2021; 26:2270. [PMID: 33919831 PMCID: PMC8070807 DOI: 10.3390/molecules26082270] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 04/09/2021] [Accepted: 04/10/2021] [Indexed: 12/26/2022] Open
Abstract
Multiple cellular functions are controlled by the interaction of RNAs and proteins. Together with the RNAs they control, RNA interacting proteins form RNA protein complexes, which are considered to serve as the true regulatory units for post-transcriptional gene expression. To understand how RNAs are modified, transported, and regulated therefore requires specific knowledge of their interaction partners. To this end, multiple techniques have been developed to characterize the interaction between RNAs and proteins. In this review, we briefly summarize the common methods to study RNA-protein interaction including crosslinking and immunoprecipitation (CLIP), and aptamer- or antisense oligonucleotide-based RNA affinity purification. Following this, we focus on in vivo proximity labeling to study RNA-protein interactions. In proximity labeling, a labeling enzyme like ascorbate peroxidase or biotin ligase is targeted to specific RNAs, RNA-binding proteins, or even cellular compartments and uses biotin to label the proteins and RNAs in its vicinity. The tagged molecules are then enriched and analyzed by mass spectrometry or RNA-Seq. We highlight the latest studies that exemplify the strength of this approach for the characterization of RNA protein complexes and distribution of RNAs in vivo.
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Affiliation(s)
| | | | | | | | - Orit Hermesh
- Interfaculty Institute for Biochemistry (IFIB), Tübingen University, 72076 Tübingen, Germany; (R.W.); (L.H.); (S.A.); (R.-P.J.)
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99
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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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100
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Joeh E, Reeves AE, Parker CG, Huang ML. Mapping Interactions between Glycans and Glycan-Binding Proteins by Live Cell Proximity Tagging. Curr Protoc 2021; 1:e104. [PMID: 33861898 PMCID: PMC8274366 DOI: 10.1002/cpz1.104] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Interactions between glycans and glycan-binding proteins (GBPs) consist of weak, noncovalent, and transient binding events, making them difficult to study in live cells void of a static, isolated system. Furthermore, the glycans are often presented as protein glycoconjugates, but there are limited efforts to identify these proteins. Proximity labeling permits covalent tagging of the glycoprotein interactors to query GBP in live cells. Coupled with high-resolution mass spectrometry, it facilitates determination of the proteins bearing the interacting glycans. In this method, fusion protein constructs of a GBP of interest with a peroxidase enzyme allows for in situ spatiotemporal radical-mediated tagging of interacting glycoproteins in living cells that can be enriched for identification. Using this method, the capture and study of glycan-GBP interactions no longer relies on weak, transient interactions, and results in robust capture and identification of the interactome of a GBP while preserving the native cellular environment. This protocol focuses on (1) expression and characterization of a recombinant fusion protein consisting of a peroxidase and the GBP galectin-3, (2) corresponding in situ labeling and visualization of interactors, (3) and proteomic workflow and analysis of captured proteins for robust identification using mass spectrometry. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Expression, purification, and characterization of recombinant fusion protein Alternate Protocol 1: Manual Ni-NTA purification of recombinant fusion protein Basic Protocol 2: In situ proximity labeling and evaluation by fluorescence microscopy Alternate Protocol 2: Western blot analysis of in situ proximity labeling Basic Protocol 3: Proximity labeling of cells for quantitative MS-based proteomics with tandem mass tags.
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Affiliation(s)
- Eugene Joeh
- Department of Molecular Medicine, Scripps Research Institute, Jupiter, Florida
| | - Abigail E Reeves
- Department of Molecular Medicine, Scripps Research Institute, Jupiter, Florida
| | | | - Mia L Huang
- Department of Molecular Medicine, Scripps Research Institute, Jupiter, Florida.,Department of Chemistry, Scripps Research Institute, Jupiter, Florida
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