1
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Binti S, Linder AG, Edeen PT, Fay DS. A conserved protein tyrosine phosphatase, PTPN-22, functions in diverse developmental processes in C. elegans. PLoS Genet 2024; 20:e1011219. [PMID: 39173071 DOI: 10.1371/journal.pgen.1011219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 08/01/2024] [Indexed: 08/24/2024] Open
Abstract
Protein tyrosine phosphatases non-receptor type (PTPNs) have been studied extensively in the context of the adaptive immune system; however, their roles beyond immunoregulation are less well explored. Here we identify novel functions for the conserved C. elegans phosphatase PTPN-22, establishing its role in nematode molting, cell adhesion, and cytoskeletal regulation. Through a non-biased genetic screen, we found that loss of PTPN-22 phosphatase activity suppressed molting defects caused by loss-of-function mutations in the conserved NIMA-related kinases NEKL-2 (human NEK8/NEK9) and NEKL-3 (human NEK6/NEK7), which act at the interface of membrane trafficking and actin regulation. To better understand the functions of PTPN-22, we carried out proximity labeling studies to identify candidate interactors of PTPN-22 during development. Through this approach we identified the CDC42 guanine-nucleotide exchange factor DNBP-1 (human DNMBP) as an in vivo partner of PTPN-22. Consistent with this interaction, loss of DNBP-1 also suppressed nekl-associated molting defects. Genetic analysis, co-localization studies, and proximity labeling revealed roles for PTPN-22 in several epidermal adhesion complexes, including C. elegans hemidesmosomes, suggesting that PTPN-22 plays a broad role in maintaining the structural integrity of tissues. Localization and proximity labeling also implicated PTPN-22 in functions connected to nucleocytoplasmic transport and mRNA regulation, particularly within the germline, as nearly one-third of proteins identified by PTPN-22 proximity labeling are known P granule components. Collectively, these studies highlight the utility of combined genetic and proteomic approaches for identifying novel gene functions.
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Affiliation(s)
- Shaonil Binti
- Department of Molecular Biology, College of Agriculture, Life Sciences and Natural Resources, University of Wyoming, Laramie, Wyoming, United States of America
| | - Adison G Linder
- Department of Molecular Biology, College of Agriculture, Life Sciences and Natural Resources, University of Wyoming, Laramie, Wyoming, United States of America
| | - Philip T Edeen
- Department of Molecular Biology, College of Agriculture, Life Sciences and Natural Resources, University of Wyoming, Laramie, Wyoming, United States of America
| | - David S Fay
- Department of Molecular Biology, College of Agriculture, Life Sciences and Natural Resources, University of Wyoming, Laramie, Wyoming, United States of America
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2
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Inge MM, Miller R, Hook H, Bray D, Keenan JL, Zhao R, Gilmore TD, Siggers T. Rapid profiling of transcription factor-cofactor interaction networks reveals principles of epigenetic regulation. Nucleic Acids Res 2024:gkae706. [PMID: 39166482 DOI: 10.1093/nar/gkae706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 06/14/2024] [Accepted: 08/19/2024] [Indexed: 08/23/2024] Open
Abstract
Transcription factor (TF)-cofactor (COF) interactions define dynamic, cell-specific networks that govern gene expression; however, these networks are understudied due to a lack of methods for high-throughput profiling of DNA-bound TF-COF complexes. Here, we describe the Cofactor Recruitment (CoRec) method for rapid profiling of cell-specific TF-COF complexes. We define a lysine acetyltransferase (KAT)-TF network in resting and stimulated T cells. We find promiscuous recruitment of KATs for many TFs and that 35% of KAT-TF interactions are condition specific. KAT-TF interactions identify NF-κB as a primary regulator of acutely induced histone 3 lysine 27 acetylation (H3K27ac). Finally, we find that heterotypic clustering of CBP/P300-recruiting TFs is a strong predictor of total promoter H3K27ac. Our data support clustering of TF sites that broadly recruit KATs as a mechanism for widespread co-occurring histone acetylation marks. CoRec can be readily applied to different cell systems and provides a powerful approach to define TF-COF networks impacting chromatin state and gene regulation.
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Affiliation(s)
- Melissa M Inge
- Department of Biology, Boston University, Boston, MA 02215, USA
- Biological Design Center, Boston University, Boston, MA 02215, USA
| | - Rebekah Miller
- Department of Biology, Boston University, Boston, MA 02215, USA
- Biological Design Center, Boston University, Boston, MA 02215, USA
- Bioinformatics Program, Boston University, Boston, MA 02215, USA
| | - Heather Hook
- Department of Biology, Boston University, Boston, MA 02215, USA
| | - David Bray
- Department of Biology, Boston University, Boston, MA 02215, USA
- Bioinformatics Program, Boston University, Boston, MA 02215, USA
| | - Jessica L Keenan
- Department of Biology, Boston University, Boston, MA 02215, USA
- Bioinformatics Program, Boston University, Boston, MA 02215, USA
| | - Rose Zhao
- Department of Biology, Boston University, Boston, MA 02215, USA
| | | | - Trevor Siggers
- Department of Biology, Boston University, Boston, MA 02215, USA
- Biological Design Center, Boston University, Boston, MA 02215, USA
- Bioinformatics Program, Boston University, Boston, MA 02215, USA
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3
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Lepe BA, Zheng CR, Leddy OK, Allsup BL, Solomon SL, Bryson BD. Protease shaving of Mycobacterium tuberculosis facilitates vaccine antigen discovery and delivery of novel cargoes to the Mtb surface. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.02.601718. [PMID: 39005324 PMCID: PMC11245043 DOI: 10.1101/2024.07.02.601718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), is the leading cause of infectious disease death and lacks a vaccine capable of protecting adults from pulmonary TB. Studies have shown that Mtb uses a variety of mechanisms to evade host immunity. Secreted Mtb proteins such as Type VII secretion system substrates have been characterized for their ability to modulate anti-Mtb immunity; however, studies of other pathogens such as Salmonella Typhi and Staphylococcus aureus have revealed that outer membrane proteins can also interact with the innate and adaptive immune system. The Mtb outer membrane proteome has received relatively less attention due to limited techniques available to interrogate this compartment. We filled this gap by deploying protease shaving and quantitative mass spectrometry to identify Mtb outer membrane proteins which serve as nodes in the Mtb-host interaction network. These analyses revealed several novel Mtb proteins on the Mtb surface largely derived from the PE/PPE class of Mtb proteins, including PPE18, a component of a leading Mtb vaccine candidate. We next exploited the localization of PPE18 to decorate the Mtb surface with heterologous proteins and deliver these surface-engineered Mtb to the phagosome. Together, these studies reveal potential novel targets for new Mtb vaccines as well as facilitate new approaches to study difficult to study cellular compartments during infection.
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Affiliation(s)
- Bianca A. Lepe
- Department of Biological Engineering, MIT, Cambridge, USA
- Ragon Institute of Mass General, Harvard, and MIT, Cambridge, USA
| | - Christine R. Zheng
- Department of Biological Engineering, MIT, Cambridge, USA
- Ragon Institute of Mass General, Harvard, and MIT, Cambridge, USA
| | - Owen K. Leddy
- Department of Biological Engineering, MIT, Cambridge, USA
- Ragon Institute of Mass General, Harvard, and MIT, Cambridge, USA
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, USA
| | - Benjamin L. Allsup
- Department of Biological Engineering, MIT, Cambridge, USA
- Ragon Institute of Mass General, Harvard, and MIT, Cambridge, USA
| | - Sydney L. Solomon
- Department of Biological Engineering, MIT, Cambridge, USA
- Ragon Institute of Mass General, Harvard, and MIT, Cambridge, USA
| | - Bryan D. Bryson
- Department of Biological Engineering, MIT, Cambridge, USA
- Ragon Institute of Mass General, Harvard, and MIT, Cambridge, USA
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4
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Susa KJ, Bradshaw GA, Eisert RJ, Schilling CM, Kalocsay M, Blacklow SC, Kruse AC. A spatiotemporal map of co-receptor signaling networks underlying B cell activation. Cell Rep 2024; 43:114332. [PMID: 38850533 PMCID: PMC11256977 DOI: 10.1016/j.celrep.2024.114332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 04/16/2024] [Accepted: 05/23/2024] [Indexed: 06/10/2024] Open
Abstract
The B cell receptor (BCR) signals together with a multi-component co-receptor complex to initiate B cell activation in response to antigen binding. Here, we take advantage of peroxidase-catalyzed proximity labeling combined with quantitative mass spectrometry to track co-receptor signaling dynamics in Raji cells from 10 s to 2 h after BCR stimulation. This approach enables tracking of 2,814 proximity-labeled proteins and 1,394 phosphosites and provides an unbiased and quantitative molecular map of proteins recruited to the vicinity of CD19, the signaling subunit of the co-receptor complex. We detail the recruitment kinetics of signaling effectors to CD19 and identify previously uncharacterized mediators of B cell activation. We show that the glutamate transporter SLC1A1 is responsible for mediating rapid metabolic reprogramming and for maintaining redox homeostasis during B cell activation. This study provides a comprehensive map of BCR signaling and a rich resource for uncovering the complex signaling networks that regulate activation.
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Affiliation(s)
- Katherine J Susa
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
| | - Gary A Bradshaw
- Department of Systems Biology, Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Robyn J Eisert
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Charlotte M Schilling
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Marian Kalocsay
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Stephen C Blacklow
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA.
| | - Andrew C Kruse
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
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5
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Kageler L, Perr J, Flynn RA. Tools to investigate the cell surface: Proximity as a central concept in glycoRNA biology. Cell Chem Biol 2024; 31:1132-1144. [PMID: 38772372 PMCID: PMC11193615 DOI: 10.1016/j.chembiol.2024.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 04/02/2024] [Accepted: 04/25/2024] [Indexed: 05/23/2024]
Abstract
Proximity is a fundamental concept in chemistry and biology, referring to the convergence of molecules to facilitate new molecular interactions or reactions. Hybrid biopolymers like glycosylphosphatidylinositol (GPI)-anchored proteins, ubiquitinated proteins, glycosylated RNAs (glycoRNAs), and RNAylated proteins exemplify this by covalent bonding of moieties that are often orthogonally active. Hybrid molecules like glycoRNAs are localized to new physical spaces, generating new interfaces for biological functions. To fully investigate the compositional and spatial features of molecules like glycoRNAs, flexible genetic and chemical tools that encompass different encoding and targeting biopolymers are required. Here we discuss concepts of molecular proximity and explore newer proximity labeling technologies that facilitate applications in RNA biology, cell surface biology, and the interface therein with a particular focus on glycoRNA biology. We review the advantages and disadvantages of methods pertaining to cell surface RNA identification and provide insights into the vast opportunities for method development in this area.
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Affiliation(s)
- Lauren Kageler
- Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
| | - Jonathan Perr
- Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
| | - Ryan A Flynn
- Stem Cell Program and Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA; Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA.
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6
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Davis JA, Chakrabarti K. Molecular and Evolutionary Analysis of RNA-Protein Interactions in Telomerase Regulation. Noncoding RNA 2024; 10:36. [PMID: 38921833 PMCID: PMC11206666 DOI: 10.3390/ncrna10030036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/30/2024] [Accepted: 06/10/2024] [Indexed: 06/27/2024] Open
Abstract
Telomerase is an enzyme involved in the maintenance of telomeres. Telomere shortening due to the end-replication problem is a threat to the genome integrity of all eukaryotes. Telomerase inside cells depends on a myriad of protein-protein and RNA-protein interactions to properly assemble and regulate the function of the telomerase holoenzyme. These interactions are well studied in model eukaryotes, like humans, yeast, and the ciliated protozoan known as Tetrahymena thermophila. Emerging evidence also suggests that deep-branching eukaryotes, such as the parasitic protist Trypanosoma brucei require conserved and novel RNA-binding proteins for the assembly and function of their telomerase. In this review, we will discuss telomerase regulatory pathways in the context of telomerase-interacting proteins, with special attention paid to RNA-binding proteins. We will discuss these interactors on an evolutionary scale, from parasitic protists to humans, to provide a broader perspective on the extensive role that protein-protein and RNA-protein interactions play in regulating telomerase activity in eukaryotes.
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Affiliation(s)
| | - Kausik Chakrabarti
- Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA;
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7
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Segovia D, Adams DW, Hoffman N, Safaric Tepes P, Wee TL, Cifani P, Joshua-Tor L, Krainer AR. SRSF1 interactome determined by proximity labeling reveals direct interaction with spliceosomal RNA helicase DDX23. Proc Natl Acad Sci U S A 2024; 121:e2322974121. [PMID: 38743621 PMCID: PMC11126954 DOI: 10.1073/pnas.2322974121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/15/2024] [Indexed: 05/16/2024] Open
Abstract
SRSF1 is the founding member of the SR protein family. It is required-interchangeably with other SR proteins-for pre-mRNA splicing in vitro, and it regulates various alternative splicing events. Dysregulation of SRSF1 expression contributes to cancer and other pathologies. Here, we characterized SRSF1's interactome using proximity labeling and mass spectrometry. This approach yielded 190 proteins enriched in the SRSF1 samples, independently of the N- or C-terminal location of the biotin-labeling domain. The detected proteins reflect established functions of SRSF1 in pre-mRNA splicing and reveal additional connections to spliceosome proteins, in addition to other recently identified functions. We validated a robust interaction with the spliceosomal RNA helicase DDX23/PRP28 using bimolecular fluorescence complementation and in vitro binding assays. The interaction is mediated by the N-terminal RS-like domain of DDX23 and both RRM1 and the RS domain of SRSF1. During pre-mRNA splicing, DDX23's ATPase activity is essential for the pre-B to B spliceosome complex transition and for release of U1 snRNP from the 5' splice site. We show that the RS-like region of DDX23's N-terminal domain is important for spliceosome incorporation, while larger deletions in this domain alter subnuclear localization. We discuss how the identified interaction of DDX23 with SRSF1 and other SR proteins may be involved in the regulation of these processes.
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Affiliation(s)
- Danilo Segovia
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724
- Graduate Program in Molecular and Cellular Biology, Stony Brook University, Stony Brook, NY11794
| | - Dexter W. Adams
- HHMI, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724
- W. M. Keck Structural Biology Laboratory, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724
- Graduate Program in Genetics, Stony Brook University, Stony Brook, NY11794
| | | | | | - Tse-Luen Wee
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724
| | - Paolo Cifani
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724
| | - Leemor Joshua-Tor
- HHMI, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724
- W. M. Keck Structural Biology Laboratory, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY11724
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8
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Jiang C, Zhou P, Zhang X, Ma N, Hu Y, Zhang M, Ghonaim AH, Li H, Dong L, Zeng W, Li C, Lang Y, Sun Y, He Q, Li W. ARF6 promotes Streptococcus suis suilysin induced apoptosis in HBMECs. Int J Biol Macromol 2024; 268:131839. [PMID: 38663699 DOI: 10.1016/j.ijbiomac.2024.131839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/21/2024] [Accepted: 04/22/2024] [Indexed: 05/02/2024]
Abstract
Streptococcus suis (S. suis) is a significant zoonotic microorganism that causes a severe illness in both pigs and humans and is characterized by severe meningitis and septicemia. Suilysin (SLY), which is secreted by S. suis, plays a crucial role as a virulence factor in the disease. To date, the interaction between SLY and host cells is not fully understood. In this study, we identified the interacting proteins between SLY and human brain microvascular endothelial cells (HBMECs) using the TurboID-mediated proximity labeling method. 251 unique proteins were identified in TurboID-SLY treated group, of which six plasma membrane proteins including ARF6, GRK6, EPB41L5, DSC1, TJP2, and PNN were identified. We found that the proteins capable of interacting with SLY are ARF6 and PNN. Subsequent investigations revealed that ARF6 substantially increased the invasive ability of S. suis in HBMECs. Furthermore, ARF6 promoted SLY-induced the activation of p38 MAPK signaling pathway in HBMECs. Moreover, ARF6 promoted the apoptosis in HBMECs through the activation of p38 MAPK signaling pathway induced by SLY. Finally, we confirmed that ARF6 could increase the virulence of SLY in C57BL/6 mice. These findings offer valuable insights that contribute to a deeper understanding of the pathogenic mechanism of SLY.
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Affiliation(s)
- Changsheng Jiang
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Pei Zhou
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Xiaoqian Zhang
- China Institute of Veterinary Drug Control, Beijing 102629, China
| | - NingNing Ma
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Yaofang Hu
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Mengjia Zhang
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Ahmed H Ghonaim
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China; Desert Research Center, Cairo 11435, Egypt
| | - Huimin Li
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Ling Dong
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Wei Zeng
- Hubei Key Laboratory of Animal Embryo Engineering and Molecular Breeding, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
| | - Chang Li
- Key Laboratory of Prevention and Control Agents for Animal Bacteriosis, Ministry of Agriculture and Rural Affairs, Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Sciences, Wuhan 430064, China
| | - Yifei Lang
- College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China
| | - Yumei Sun
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Qigai He
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China.
| | - Wentao Li
- National Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China.
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9
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Nelson ZM, Kadiri O, Fehl C. GlycoID Proximity Labeling to Identify O-GlcNAcylated Protein Interactomes in Live Cells. Curr Protoc 2024; 4:e1052. [PMID: 38752278 PMCID: PMC11101149 DOI: 10.1002/cpz1.1052] [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: 05/19/2024]
Abstract
Cells continuously remodel their intracellular proteins with the monosaccharide O-linked N-acetylglucosamine (O-GlcNAc) to regulate metabolism, signaling, and stress. This protocol describes the use of GlycoID tools to capture O-GlcNAc dynamics in live cells. GlycoID constructs contain an O-GlcNAc binding domain linked to a proximity labeling domain and a subcellular localization sequence. When expressed in mammalian cells, GlycoID tracks changes in O-GlcNAc-modified proteins and their interactomes in response to chemical induction with biotin over time. Pairing the subcellular localization of GlycoID with the chemical induction of activity enables spatiotemporal studies of O-GlcNAc biology during cellular events such as insulin signaling. However, optimizing intracellular labeling experiments requires attention to several variables. Here, we describe two protocols to adapt GlycoID methods to a cell line and biological process of interest. Next, we describe how to conduct a semiquantitative proteomic analysis of O-GlcNAcylated proteins and their interactomes using insulin versus glucagon signaling as a sample application. This articles aims to establish baseline GlycoID protocols for new users and set the stage for widespread use over diverse cellular applications for the functional study of O-GlcNAc glycobiology. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Expression of targeted GlycoID constructs to verify subcellular location and labeling activity in mammalian cells Basic Protocol 2: GlycoID labeling in live HeLa cells for O-GlcNAc proteomic comparisons.
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Affiliation(s)
- Zachary M. Nelson
- Department of Chemistry, Wayne State University, 5101 Cass Avenue, Detroit, MI, United States
| | - Oseni Kadiri
- Department of Chemistry, Wayne State University, 5101 Cass Avenue, Detroit, MI, United States
| | - Charlie Fehl
- Department of Chemistry, Wayne State University, 5101 Cass Avenue, Detroit, MI, United States
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10
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Inge MM, Miller R, Hook H, Bray D, Keenan JL, Zhao R, Gilmore TD, Siggers T. Rapid profiling of transcription factor-cofactor interaction networks reveals principles of epigenetic regulation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.05.588333. [PMID: 38617258 PMCID: PMC11014505 DOI: 10.1101/2024.04.05.588333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Transcription factor (TF)-cofactor (COF) interactions define dynamic, cell-specific networks that govern gene expression; however, these networks are understudied due to a lack of methods for high-throughput profiling of DNA-bound TF-COF complexes. Here we describe the Cofactor Recruitment (CoRec) method for rapid profiling of cell-specific TF-COF complexes. We define a lysine acetyltransferase (KAT)-TF network in resting and stimulated T cells. We find promiscuous recruitment of KATs for many TFs and that 35% of KAT-TF interactions are condition specific. KAT-TF interactions identify NF-κB as a primary regulator of acutely induced H3K27ac. Finally, we find that heterotypic clustering of CBP/P300-recruiting TFs is a strong predictor of total promoter H3K27ac. Our data supports clustering of TF sites that broadly recruit KATs as a mechanism for widespread co-occurring histone acetylation marks. CoRec can be readily applied to different cell systems and provides a powerful approach to define TF-COF networks impacting chromatin state and gene regulation.
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Affiliation(s)
- MM Inge
- Department of Biology, Boston University, Boston, MA, USA
- Biological Design Center, Boston University, Boston, MA, USA
- These authors contributed equally
| | - R Miller
- Department of Biology, Boston University, Boston, MA, USA
- Bioinformatics Program, Boston University, Boston, MA, USA
- Biological Design Center, Boston University, Boston, MA, USA
- These authors contributed equally
| | - H Hook
- Department of Biology, Boston University, Boston, MA, USA
| | - D Bray
- Department of Biology, Boston University, Boston, MA, USA
- Bioinformatics Program, Boston University, Boston, MA, USA
| | - JL Keenan
- Department of Biology, Boston University, Boston, MA, USA
- Bioinformatics Program, Boston University, Boston, MA, USA
| | - R Zhao
- Department of Biology, Boston University, Boston, MA, USA
| | - TD Gilmore
- Department of Biology, Boston University, Boston, MA, USA
| | - T Siggers
- Department of Biology, Boston University, Boston, MA, USA
- Bioinformatics Program, Boston University, Boston, MA, USA
- Biological Design Center, Boston University, Boston, MA, USA
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11
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Salgania HK, Metz J, Jeske M. ReLo is a simple and rapid colocalization assay to identify and characterize direct protein-protein interactions. Nat Commun 2024; 15:2875. [PMID: 38570497 PMCID: PMC10991417 DOI: 10.1038/s41467-024-47233-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 03/22/2024] [Indexed: 04/05/2024] Open
Abstract
The characterization of protein-protein interactions (PPIs) is fundamental to the understanding of biochemical processes. Many methods have been established to identify and study direct PPIs; however, screening and investigating PPIs involving large or poorly soluble proteins remains challenging. Here, we introduce ReLo, a simple, rapid, and versatile cell culture-based method for detecting and investigating interactions in a cellular context. Our experiments demonstrate that ReLo specifically detects direct binary PPIs. Furthermore, we show that ReLo bridging experiments can also be used to determine the binding topology of subunits within multiprotein complexes. In addition, ReLo facilitates the identification of protein domains that mediate complex formation, allows screening for interfering point mutations, and it is sensitive to drugs that mediate or disrupt an interaction. In summary, ReLo is a simple and rapid alternative for the study of PPIs, especially when studying structurally complex proteins or when established methods fail.
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Affiliation(s)
- Harpreet Kaur Salgania
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120, Heidelberg, Germany
| | - Jutta Metz
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120, Heidelberg, Germany
| | - Mandy Jeske
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120, Heidelberg, Germany.
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12
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Parkes R, Garcia TX. Bringing proteomics to bear on male fertility: key lessons. Expert Rev Proteomics 2024; 21:181-203. [PMID: 38536015 DOI: 10.1080/14789450.2024.2327553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 02/07/2024] [Indexed: 04/11/2024]
Abstract
INTRODUCTION Male infertility is a major public health concern globally. Proteomics has revolutionized our comprehension of male fertility by identifying potential infertility biomarkers and reproductive defects. Studies comparing sperm proteome with other male reproductive tissues have the potential to refine fertility diagnostics and guide infertility treatment development. AREAS COVERED This review encapsulates literature using proteomic approaches to progress male reproductive biology. Our search methodology included systematic searches of databases such as PubMed, Scopus, and Web of Science for articles up to 2023. Keywords used included 'male fertility proteomics,' 'spermatozoa proteome,' 'testis proteomics,' 'epididymal proteomics,' and 'non-hormonal male contraception.' Inclusion criteria were robust experimental design, significant contributions to male fertility, and novel use of proteomic technologies. EXPERT OPINION Expert analysis shows a shift from traditional research to an integrative approach that clarifies male reproductive health's molecular intricacies. A gap exists between proteomic discoveries and clinical application. The expert opinions consolidated here not only navigate the current findings but also chart the future proteomic applications for scientific and clinical breakthroughs. We underscore the need for continued investment in proteomic research - both in the technological and collaborative arenas - to further unravel the secrets of male fertility, which will be central to resolving fertility issues in the coming era.
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Affiliation(s)
- Rachel Parkes
- Center for Drug Discovery, Baylor College of Medicine, Houston, USA
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, USA
| | - Thomas X Garcia
- Center for Drug Discovery, Baylor College of Medicine, Houston, USA
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, USA
- Scott Department of Urology, Baylor College of Medicine, Houston, USA
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13
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Jurkovic CM, Boisvert FM. Evolution of techniques and tools for replication fork proteome and protein interaction studies. Biochem Cell Biol 2024; 102:135-144. [PMID: 38113480 DOI: 10.1139/bcb-2023-0215] [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: 12/21/2023] Open
Abstract
Understanding the complex network of protein-protein interactions (PPI) that govern cellular functions is essential for unraveling the molecular basis of biological processes and diseases. Mass spectrometry (MS) has emerged as a powerful tool for studying protein dynamics, enabling comprehensive analysis of protein function, structure, post-translational modifications, interactions, and localization. This article provides an overview of MS techniques and their applications in proteomics studies, with a focus on the replication fork proteome. The replication fork is a multi-protein assembly involved in DNA replication, and its proper functioning is crucial for maintaining genomic integrity. By combining quantitative MS labeling techniques with various data acquisition methods, researchers have made significant strides in elucidating the complex processes and molecular mechanisms at the replication fork. Overall, MS has revolutionized our understanding of protein dynamics, offering valuable insights into cellular processes and potential targets for therapeutic interventions.
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Affiliation(s)
- Carla-Marie Jurkovic
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - François-Michel Boisvert
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
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14
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Binti S, Linder AG, Edeen PT, Fay DS. A conserved protein tyrosine phosphatase, PTPN-22, functions in diverse developmental processes in C. elegans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.12.584557. [PMID: 38559252 PMCID: PMC10980042 DOI: 10.1101/2024.03.12.584557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Protein tyrosine phosphatases non-receptor type (PTPNs) have been studied extensively in the context of the adaptive immune system; however, their roles beyond immunoregulation are less well explored. Here we identify novel functions for the conserved C. elegans phosphatase PTPN-22, establishing its role in nematode molting, cell adhesion, and cytoskeletal regulation. Through a non-biased genetic screen, we found that loss of PTPN-22 phosphatase activity suppressed molting defects caused by loss-of-function mutations in the conserved NIMA-related kinases NEKL-2 (human NEK8/NEK9) and NEKL-3 (human NEK6/NEK7), which act at the interface of membrane trafficking and actin regulation. To better understand the functions of PTPN-22, we carried out proximity labeling studies to identify candidate interactors of PTPN-22 during development. Through this approach we identified the CDC42 guanine-nucleotide exchange factor DNBP-1 (human DNMBP) as an in vivo partner of PTPN-22. Consistent with this interaction, loss of DNBP-1 also suppressed nekl-associated molting defects. Genetic analysis, co-localization studies, and proximity labeling revealed roles for PTPN-22 in several epidermal adhesion complexes, including C. elegans hemidesmosomes, suggesting that PTPN-22 plays a broad role in maintaining the structural integrity of tissues. Localization and proximity labeling also implicated PTPN-22 in functions connected to nucleocytoplasmic transport and mRNA regulation, particularly within the germline, as nearly one-third of proteins identified by PTPN-22 proximity labeling are known P granule components. Collectively, these studies highlight the utility of combined genetic and proteomic approaches for identifying novel gene functions.
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Affiliation(s)
- Shaonil Binti
- Department of Molecular Biology, College of Agriculture, Life Sciences and Natural Resources, University of Wyoming, 1000 E. University Ave., Laramie, Wyoming
| | - Adison G Linder
- Department of Molecular Biology, College of Agriculture, Life Sciences and Natural Resources, University of Wyoming, 1000 E. University Ave., Laramie, Wyoming
| | - Philip T Edeen
- Department of Molecular Biology, College of Agriculture, Life Sciences and Natural Resources, University of Wyoming, 1000 E. University Ave., Laramie, Wyoming
| | - David S Fay
- Department of Molecular Biology, College of Agriculture, Life Sciences and Natural Resources, University of Wyoming, 1000 E. University Ave., Laramie, Wyoming
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15
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Gomez SM, Axtman AD, Willson TM, Major MB, Townsend RR, Sorger PK, Johnson GL. Illuminating function of the understudied druggable kinome. Drug Discov Today 2024; 29:103881. [PMID: 38218213 PMCID: PMC11262466 DOI: 10.1016/j.drudis.2024.103881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 12/21/2023] [Accepted: 01/09/2024] [Indexed: 01/15/2024]
Abstract
The human kinome, with more than 500 proteins, is crucial for cell signaling and disease. Yet, about one-third of kinases lack in-depth study. The Data and Resource Generating Center for Understudied Kinases has developed multiple resources to address this challenge including creation of a heavy amino acid peptide library for parallel reaction monitoring and quantitation of protein kinase expression, use of understudied kinases tagged with a miniTurbo-biotin ligase to determine interaction networks by proximity-dependent protein biotinylation, NanoBRET probe development for screening chemical tool target specificity in live cells, characterization of small molecule chemical tools inhibiting understudied kinases, and computational tools for defining kinome architecture. These resources are available through the Dark Kinase Knowledgebase, supporting further research into these understudied protein kinases.
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Affiliation(s)
- Shawn M Gomez
- University of North Carolina School of Medicine, Chapel Hill, NC, USA.
| | - Alison D Axtman
- University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Timothy M Willson
- University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Michael B Major
- Washington University School of Medicine in St. Louis, MO, USA
| | - Reid R Townsend
- Washington University School of Medicine in St. Louis, MO, USA
| | | | - Gary L Johnson
- University of North Carolina School of Medicine, Chapel Hill, NC, USA.
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16
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Romo BA, Karakyriakou B, Cressey L, Brauer BL, Yang H, Warren A, Johnson AL, Kettenbach AN, Miller TW. TRIM33 Is a Co-Regulator of Estrogen Receptor Alpha. Cancers (Basel) 2024; 16:845. [PMID: 38473207 PMCID: PMC10930732 DOI: 10.3390/cancers16050845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/15/2024] [Accepted: 02/17/2024] [Indexed: 03/14/2024] Open
Abstract
Estrogen receptor alpha (ER)-positive breast cancer is responsible for over 60% of breast cancer cases in the U.S. Among patients diagnosed with early-stage ER+ disease, 1/3 will experience recurrence despite treatment with adjuvant endocrine therapy. ER is a nuclear hormone receptor responsible for estrogen-driven tumor growth. ER transcriptional activity is modulated by interactions with coregulators. Dysregulation of the levels of these coregulators is involved in the development of endocrine resistance. To identify ER interactors that modulate transcriptional activity in breast cancer, we utilized biotin ligase proximity profiling of ER interactomes. Mass spectrometry analysis revealed tripartite motif containing 33 (TRIM33) as an estrogen-dependent interactor of ER. shRNA knockdown showed that TRIM33 promoted ER transcriptional activity and estrogen-induced cell growth. Despite its known role as an E3 ubiquitin ligase, TRIM33 increased the stability of endogenous ER in breast cancer cells. TRIM33 offers a novel target for inhibiting estrogen-induced cancer cell growth, particularly in cases of endocrine resistance driven by ER (ESR1) gene amplification or overexpression.
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Affiliation(s)
- Bianca A. Romo
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Barbara Karakyriakou
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Lauren Cressey
- Department of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Brooke L. Brauer
- Department of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Huijuan Yang
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Alexa Warren
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Anneka L. Johnson
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Arminja N. Kettenbach
- Department of Biochemistry and Cell Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Todd W. Miller
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
- Department of Pharmacology and Toxicology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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17
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Samiotaki M, Panayotou G, Chandris P. Detection of Protein Tyrosine Phosphatase Interacting Partners by Mass Spectrometry. Methods Mol Biol 2024; 2743:165-180. [PMID: 38147215 DOI: 10.1007/978-1-0716-3569-8_11] [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: 12/27/2023]
Abstract
Unraveling interacting partners of protein tyrosine (Tyr) phosphatases is considered a key aspect in resolving the regulation of signaling cascades either in a pathological or in developmental context. Mass spectrometry (MS)-based protein identification has emerged as the major approach in this arena, complemented by the development of novel biochemical methodologies for sample preparation. In this chapter, we highlight two methods that, combined with mass spectrometry, may help the investigator create an interactome map for the phosphatase of interest within a specific biological context.
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Affiliation(s)
- Martina Samiotaki
- Institute for Bioinnovation, Biomedical Sciences Research Center "Alexander Fleming", Vari, Greece
| | - George Panayotou
- Institute for Bioinnovation, Biomedical Sciences Research Center "Alexander Fleming", Vari, Greece
| | - Panagiotis Chandris
- Institute for Bioinnovation, Biomedical Sciences Research Center "Alexander Fleming", Vari, Greece.
- Department of Cellular and Molecular Neurobiology, Hellenic Pasteur Institute, Athens, Greece.
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18
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Yamada K, Shioya R, Nishino K, Furihata H, Hijikata A, Kaneko MK, Kato Y, Shirai T, Kosako H, Sawasaki T. Proximity extracellular protein-protein interaction analysis of EGFR using AirID-conjugated fragment of antigen binding. Nat Commun 2023; 14:8301. [PMID: 38097606 PMCID: PMC10721602 DOI: 10.1038/s41467-023-43931-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 11/24/2023] [Indexed: 12/17/2023] Open
Abstract
Receptor proteins, such as epidermal growth factor receptor (EGFR), interact with other proteins in the extracellular region of the cell membrane to drive intracellular signalling. Therefore, analysis of extracellular protein-protein interactions (exPPIs) is important for understanding the biological function of receptor proteins. Here, we present an approach using a proximity biotinylation enzyme (AirID) fusion fragment of antigen binding (FabID) to analyse the proximity exPPIs of EGFR. AirID was C-terminally fused to the Fab fragment against EGFR (EGFR-FabID), which could then biotinylate the extracellular region of EGFR in several cell lines. Liquid Chromatography-Mass Spectrometry (LC-MS/MS) analysis indicated that many known EGFR interactors were identified as proximity exPPIs, along with many unknown candidate interactors, using EGFR-FabID. Interestingly, these proximity exPPIs were influenced by treatment with EGF ligand and its specific kinase inhibitor, gefitinib. These results indicate that FabID provides accurate proximity exPPI analysis of target receptor proteins on cell membranes with ligand and drug responses.
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Affiliation(s)
- Kohdai Yamada
- Division of Cell-Free Life Science, Proteo-Science Center, Ehime University, 3 Bunkyo-cho, Matsuyama, Ehime, 790-8577, Japan
| | - Ryouhei Shioya
- Division of Cell-Free Life Science, Proteo-Science Center, Ehime University, 3 Bunkyo-cho, Matsuyama, Ehime, 790-8577, Japan
| | - Kohei Nishino
- Division of Cell Signaling, Fujii Memorial Institute of Medical Sciences, Institute of Advanced Medical Sciences, Tokushima University, Tokushima, 770-8503, Japan
| | - Hirotake Furihata
- Division of Cell-Free Life Science, Proteo-Science Center, Ehime University, 3 Bunkyo-cho, Matsuyama, Ehime, 790-8577, Japan
| | - Atsushi Hijikata
- Laboratory of Computational Genomics, School of Life Sciences, Tokyo University of Pharmacy and Life Sciences, Hachioji, 192-0392, Japan
| | - Mika K Kaneko
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, Sendai, 980-8575, Japan
- Department of Molecular Pharmacology, Tohoku University Graduate School of Medicine, Sendai, 980-8575, Japan
| | - Yukinari Kato
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, Sendai, 980-8575, Japan
- Department of Molecular Pharmacology, Tohoku University Graduate School of Medicine, Sendai, 980-8575, Japan
| | - Tsuyoshi Shirai
- Department of Bioscience, Nagahama Institute of BioScience and Technology, 1266 Tamura, Nagahama, 526-0829, Japan
| | - Hidetaka Kosako
- Division of Cell Signaling, Fujii Memorial Institute of Medical Sciences, Institute of Advanced Medical Sciences, Tokushima University, Tokushima, 770-8503, Japan.
| | - Tatsuya Sawasaki
- Division of Cell-Free Life Science, Proteo-Science Center, Ehime University, 3 Bunkyo-cho, Matsuyama, Ehime, 790-8577, Japan.
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19
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Song S, Cho B, Weiner AT, Nissen SB, Ojeda Naharros I, Sanchez Bosch P, Suyama K, Hu Y, He L, Svinkina T, Udeshi ND, Carr SA, Perrimon N, Axelrod JD. Protein phosphatase 1 regulates core PCP signaling. EMBO Rep 2023; 24:e56997. [PMID: 37975164 PMCID: PMC10702827 DOI: 10.15252/embr.202356997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 10/24/2023] [Accepted: 10/26/2023] [Indexed: 11/19/2023] Open
Abstract
Planar cell polarity (PCP) signaling polarizes epithelial cells within the plane of an epithelium. Core PCP signaling components adopt asymmetric subcellular localizations within cells to both polarize and coordinate polarity between cells. Achieving subcellular asymmetry requires additional effectors, including some mediating post-translational modifications of core components. Identification of such proteins is challenging due to pleiotropy. We used mass spectrometry-based proximity labeling proteomics to identify such regulators in the Drosophila wing. We identified the catalytic subunit of protein phosphatase1, Pp1-87B, and show that it regulates core protein polarization. Pp1-87B interacts with the core protein Van Gogh and at least one serine/threonine kinase, Dco/CKIε, that is known to regulate PCP. Pp1-87B modulates Van Gogh subcellular localization and directs its dephosphorylation in vivo. PNUTS, a Pp1 regulatory subunit, also modulates PCP. While the direct substrate(s) of Pp1-87B in control of PCP is not known, our data support the model that cycling between phosphorylated and unphosphorylated forms of one or more core PCP components may regulate acquisition of asymmetry. Finally, our screen serves as a resource for identifying additional regulators of PCP signaling.
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Affiliation(s)
- Song Song
- Department of PathologyStanford University School of MedicineStanfordCAUSA
- Present address:
GenScriptPiscatawayNJUSA
| | - Bomsoo Cho
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Alexis T Weiner
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Silas Boye Nissen
- Department of PathologyStanford University School of MedicineStanfordCAUSA
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW)University of CopenhagenCopenhagenDenmark
| | - Irene Ojeda Naharros
- Department of OphthalmologyUniversity of California, San FranciscoSan FranciscoCAUSA
| | | | - Kaye Suyama
- Department of PathologyStanford University School of MedicineStanfordCAUSA
| | - Yanhui Hu
- Department of Genetics, Blavatnik Institute, Harvard Medical SchoolHarvard UniversityBostonMAUSA
| | - Li He
- Department of Genetics, Blavatnik Institute, Harvard Medical SchoolHarvard UniversityBostonMAUSA
- Present address:
School of Life SciencesUniversity of Science and Technology of ChinaHefeiChina
| | | | | | | | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical SchoolHarvard UniversityBostonMAUSA
- Howard Hughes Medical InstituteBostonMAUSA
| | - Jeffrey D Axelrod
- Department of PathologyStanford University School of MedicineStanfordCAUSA
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20
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Lyu Z, Genereux JC. Quantitative Measurement of Transthyretin Mistargeting by Proximity Labeling and Parallel Reaction Monitoring. FRONTIERS IN CHEMICAL BIOLOGY 2023; 2:1288188. [PMID: 38173467 PMCID: PMC10764115 DOI: 10.3389/fchbi.2023.1288188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Proximity labeling is a powerful approach for characterizing subcellular proteomes. We recently demonstrated that proximity labeling can be used to identify mistrafficking of secretory proteins, such as occurs during pre-emptive quality control (pre-QC) following endoplasmic reticulum (ER) stress. This assay depends on protein quantification by immunoblotting and densitometry, which sometimes suffers from poor sensitivity. Here, we integrate parallel reaction monitoring (PRM) mass spectrometry to enable a more quantitative platform, and assess how chemical ER stressors impact pre-QC of the model secretory protein transthyretin in HEK293T cells. We find that some drug treatments affect labeling efficiency, which can be controlled for by normalizing to APEX2 auto-labeling. While some chemical ER stress inducers including Brefeldin A and thapsigargin induce pre-QC, tunicamycin and dithiothreitol do not, indicating ER stress alone is not sufficient. This finding contrasts with the canonical model of pre-QC induction, and establishes the utility of our platform.
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Affiliation(s)
- Ziqi Lyu
- Department of Chemistry, University of California, Riverside, Riverside, CA, United States
| | - Joseph C. Genereux
- Department of Chemistry, University of California, Riverside, Riverside, CA, United States
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21
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Elzamzami FD, Samal A, Arun AS, Dharmaraj T, Prasad NR, Rendon-Jonguitud A, DeVine L, Walston JD, Cole RN, Wilson KL. Native lamin A/C proteomes and novel partners from heart and skeletal muscle in a mouse chronic inflammation model of human frailty. Front Cell Dev Biol 2023; 11:1240285. [PMID: 37936983 PMCID: PMC10626543 DOI: 10.3389/fcell.2023.1240285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 10/05/2023] [Indexed: 11/09/2023] Open
Abstract
Clinical frailty affects ∼10% of people over age 65 and is studied in a chronically inflamed (Interleukin-10 knockout; "IL10-KO") mouse model. Frailty phenotypes overlap the spectrum of diseases ("laminopathies") caused by mutations in LMNA. LMNA encodes nuclear intermediate filament proteins lamin A and lamin C ("lamin A/C"), important for tissue-specific signaling, metabolism and chromatin regulation. We hypothesized that wildtype lamin A/C associations with tissue-specific partners are perturbed by chronic inflammation, potentially contributing to dysfunction in frailty. To test this idea we immunoprecipitated native lamin A/C and associated proteins from skeletal muscle, hearts and brains of old (21-22 months) IL10-KO versus control C57Bl/6 female mice, and labeled with Tandem Mass Tags for identification and quantitation by mass spectrometry. We identified 502 candidate lamin-binding proteins from skeletal muscle, and 340 from heart, including 62 proteins identified in both tissues. Candidates included frailty phenotype-relevant proteins Perm1 and Fam210a, and nuclear membrane protein Tmem38a, required for muscle-specific genome organization. These and most other candidates were unaffected by IL10-KO, but still important as potential lamin A/C-binding proteins in native heart or muscle. A subset of candidates (21 in skeletal muscle, 30 in heart) showed significantly different lamin A/C-association in an IL10-KO tissue (p < 0.05), including AldoA and Gins3 affected in heart, and Lmcd1 and Fabp4 affected in skeletal muscle. To screen for binding, eleven candidates plus prelamin A and emerin controls were arrayed as synthetic 20-mer peptides (7-residue stagger) and incubated with recombinant purified lamin A "tail" residues 385-646 under relatively stringent conditions. We detected strong lamin A binding to peptides solvent exposed in Lmcd1, AldoA, Perm1, and Tmem38a, and plausible binding to Csrp3 (muscle LIM protein). These results validated both proteomes as sources for native lamin A/C-binding proteins in heart and muscle, identified four candidate genes for Emery-Dreifuss muscular dystrophy (CSRP3, LMCD1, ALDOA, and PERM1), support a lamin A-interactive molecular role for Tmem38A, and supported the hypothesis that lamin A/C interactions with at least two partners (AldoA in heart, transcription factor Lmcd1 in muscle) are altered in the IL10-KO model of frailty.
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Affiliation(s)
- Fatima D. Elzamzami
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Arushi Samal
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Adith S. Arun
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Tejas Dharmaraj
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Neeti R. Prasad
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Alex Rendon-Jonguitud
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Lauren DeVine
- Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Jeremy D. Walston
- Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Robert N. Cole
- Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Katherine L. Wilson
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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22
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Guo J, Guo S, Lu S, Gong J, Wang L, Ding L, Chen Q, Liu W. The development of proximity labeling technology and its applications in mammals, plants, and microorganisms. Cell Commun Signal 2023; 21:269. [PMID: 37777761 PMCID: PMC10544124 DOI: 10.1186/s12964-023-01310-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 09/07/2023] [Indexed: 10/02/2023] Open
Abstract
Protein‒protein, protein‒RNA, and protein‒DNA interaction networks form the basis of cellular regulation and signal transduction, making it crucial to explore these interaction networks to understand complex biological processes. Traditional methods such as affinity purification and yeast two-hybrid assays have been shown to have limitations, as they can only isolate high-affinity molecular interactions under nonphysiological conditions or in vitro. Moreover, these methods have shortcomings for organelle isolation and protein subcellular localization. To address these issues, proximity labeling techniques have been developed. This technology not only overcomes the limitations of traditional methods but also offers unique advantages in studying protein spatial characteristics and molecular interactions within living cells. Currently, this technique not only is indispensable in research on mammalian nucleoprotein interactions but also provides a reliable approach for studying nonmammalian cells, such as plants, parasites and viruses. Given these advantages, this article provides a detailed introduction to the principles of proximity labeling techniques and the development of labeling enzymes. The focus is on summarizing the recent applications of TurboID and miniTurbo in mammals, plants, and microorganisms. Video Abstract.
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Affiliation(s)
- Jieyu Guo
- School of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei, 437000, China
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei, 437000, China
| | - Shuang Guo
- Medicine Research Institute, Hubei Key Laboratory of Diabetes and Angiopathy, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei, 437000, China
| | - Siao Lu
- School of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei, 437000, China
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei, 437000, China
| | - Jun Gong
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei, 437000, China
| | - Long Wang
- School of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei, 437000, China
| | - Liqiong Ding
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei, 437000, China
| | - Qingjie Chen
- School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei, 437000, China.
| | - Wu Liu
- School of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, Hubei, 437000, China.
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23
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Song S, Cho B, Weiner AT, Nissen SB, Naharros IO, Bosch PS, Suyama K, Hu Y, He L, Svinkina T, Udeshi ND, Carr SA, Perrimon N, Axelrod JD. Protein phosphatase 1 regulates core PCP signaling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.12.556998. [PMID: 37745534 PMCID: PMC10515792 DOI: 10.1101/2023.09.12.556998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
PCP signaling polarizes epithelial cells within the plane of an epithelium. Core PCP signaling components adopt asymmetric subcellular localizations within cells to both polarize and coordinate polarity between cells. Achieving subcellular asymmetry requires additional effectors, including some mediating post-translational modifications of core components. Identification of such proteins is challenging due to pleiotropy. We used mass spectrometry-based proximity labeling proteomics to identify such regulators in the Drosophila wing. We identified the catalytic subunit of Protein Phosphatase1, Pp1-87B, and show that it regulates core protein polarization. Pp1-87B interacts with the core protein Van Gogh and at least one Serine/Threonine kinase, Dco/CKIε, that is known to regulate PCP. Pp1-87B modulates Van Gogh subcellular localization and directs its dephosphorylation in vivo. PNUTS, a Pp1 regulatory subunit, also modulates PCP. While the direct substrate(s) of Pp1-87B in control of PCP is not known, our data support the model that cycling between phosphorylated and unphosphorylated forms of one or more core PCP components may regulate acquisition of asymmetry. Finally, our screen serves as a resource for identifying additional regulators of PCP signaling.
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Affiliation(s)
- Song Song
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Present Address: GenScript, 860 Centennial Avenue, Piscataway, NJ, 08854, USA
| | - Bomsoo Cho
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Alexis T. Weiner
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Silas Boye Nissen
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
- The Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), University of Copenhagen, Blegdamsvej 3B, DK-2200 Copenhagen N, Denmark
| | - Irene Ojeda Naharros
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA 94143-3120, USA
| | - Pablo Sanchez Bosch
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kaye Suyama
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Yanhui Hu
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA
| | - Li He
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA
- Present Address: School of Life Sciences, University of Science and Technology of China, Hefei 230027, China
| | | | | | | | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Harvard University, Boston, MA 02115, USA
- Howard Hughes Medical Institute, Boston, MA 02138, USA
| | - Jeffrey D. Axelrod
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
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24
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Awoniyi LO, Cunha DM, Sarapulov AV, Hernández-Pérez S, Runsala M, Tejeda-González B, Šuštar V, Balci MÖ, Petrov P, Mattila PK. B cell receptor-induced protein dynamics and the emerging role of SUMOylation revealed by proximity proteomics. J Cell Sci 2023; 136:jcs261119. [PMID: 37417469 PMCID: PMC10445728 DOI: 10.1242/jcs.261119] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023] Open
Abstract
Successful B cell activation, which is critical for high-affinity antibody production, is controlled by the B cell antigen receptor (BCR). However, we still lack a comprehensive protein-level view of the very dynamic multi-branched cellular events triggered by antigen binding. Here, we employed APEX2 proximity biotinylation to study antigen-induced changes, 5-15 min after receptor activation, at the vicinity of the plasma membrane lipid rafts, wherein BCR enriches upon activation. The data reveals dynamics of signaling proteins, as well as various players linked to the subsequent processes, such as actin cytoskeleton remodeling and endocytosis. Interestingly, our differential expression analysis identified dynamic responses in various proteins previously not linked to early B cell activation. We demonstrate active SUMOylation at the sites of BCR activation in various conditions and report its functional role in BCR signaling through the AKT and ERK1/2 axes.
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Affiliation(s)
- Luqman O. Awoniyi
- Institute of Biomedicine and MediCity Research Laboratories, University of Turku, 20014 Turku, Finland
- Turku Bioscience, University of Turku and Åbo Akademi University, 20520 Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, 20014 Turku, Finland
| | - Diogo M. Cunha
- Institute of Biomedicine and MediCity Research Laboratories, University of Turku, 20014 Turku, Finland
- Turku Bioscience, University of Turku and Åbo Akademi University, 20520 Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, 20014 Turku, Finland
| | - Alexey V. Sarapulov
- Institute of Biomedicine and MediCity Research Laboratories, University of Turku, 20014 Turku, Finland
- Turku Bioscience, University of Turku and Åbo Akademi University, 20520 Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, 20014 Turku, Finland
| | - Sara Hernández-Pérez
- Institute of Biomedicine and MediCity Research Laboratories, University of Turku, 20014 Turku, Finland
- Turku Bioscience, University of Turku and Åbo Akademi University, 20520 Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, 20014 Turku, Finland
| | - Marika Runsala
- Institute of Biomedicine and MediCity Research Laboratories, University of Turku, 20014 Turku, Finland
- Turku Bioscience, University of Turku and Åbo Akademi University, 20520 Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, 20014 Turku, Finland
| | - Blanca Tejeda-González
- Institute of Biomedicine and MediCity Research Laboratories, University of Turku, 20014 Turku, Finland
- Turku Bioscience, University of Turku and Åbo Akademi University, 20520 Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, 20014 Turku, Finland
| | - Vid Šuštar
- Institute of Biomedicine and MediCity Research Laboratories, University of Turku, 20014 Turku, Finland
| | - M. Özge Balci
- Institute of Biomedicine and MediCity Research Laboratories, University of Turku, 20014 Turku, Finland
- Turku Bioscience, University of Turku and Åbo Akademi University, 20520 Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, 20014 Turku, Finland
| | - Petar Petrov
- Institute of Biomedicine and MediCity Research Laboratories, University of Turku, 20014 Turku, Finland
- Turku Bioscience, University of Turku and Åbo Akademi University, 20520 Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, 20014 Turku, Finland
| | - Pieta K. Mattila
- Institute of Biomedicine and MediCity Research Laboratories, University of Turku, 20014 Turku, Finland
- Turku Bioscience, University of Turku and Åbo Akademi University, 20520 Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, 20014 Turku, Finland
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25
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Wang J, Zhao Y, Nie G. Intelligent nanomaterials for cancer therapy: recent progresses and future possibilities. MEDICAL REVIEW (2021) 2023; 3:321-342. [PMID: 38235406 PMCID: PMC10790212 DOI: 10.1515/mr-2023-0028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 08/15/2023] [Indexed: 01/19/2024]
Abstract
Intelligent nanomedicine is currently one of the most active frontiers in cancer therapy development. Empowered by the recent progresses of nanobiotechnology, a new generation of multifunctional nanotherapeutics and imaging platforms has remarkably improved our capability to cope with the highly heterogeneous and complicated nature of cancer. With rationally designed multifunctionality and programmable assembly of functional subunits, the in vivo behaviors of intelligent nanosystems have become increasingly tunable, making them more efficient in performing sophisticated actions in physiological and pathological microenvironments. In recent years, intelligent nanomaterial-based theranostic platforms have showed great potential in tumor-targeted delivery, biological barrier circumvention, multi-responsive tumor sensing and drug release, as well as convergence with precise medication approaches such as personalized tumor vaccines. On the other hand, the increasing system complexity of anti-cancer nanomedicines also pose significant challenges in characterization, monitoring and clinical use, requesting a more comprehensive and dynamic understanding of nano-bio interactions. This review aims to briefly summarize the recent progresses achieved by intelligent nanomaterials in tumor-targeted drug delivery, tumor immunotherapy and temporospatially specific tumor imaging, as well as important advances of our knowledge on their interaction with biological systems. In the perspective of clinical translation, we have further discussed the major possibilities provided by disease-oriented development of anti-cancer nanomaterials, highlighting the critical importance clinically-oriented system design.
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Affiliation(s)
- Jing Wang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center of Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, China
| | - Yuliang Zhao
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center of Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
- GBA Research Innovation Institute for Nanotechnology, Guangzhou, Guangdong Province, China
| | - Guangjun Nie
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center of Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, China
- GBA Research Innovation Institute for Nanotechnology, Guangzhou, Guangdong Province, China
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26
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Veyron-Churlet R, Lecher S, Lacoste AS, Saliou JM, Locht C. Proximity-dependent biotin identification links cholesterol catabolism with branched-chain amino acid degradation in Mycobacterium smegmatis. FASEB J 2023; 37:e23036. [PMID: 37331005 DOI: 10.1096/fj.202202018rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 05/31/2023] [Accepted: 06/05/2023] [Indexed: 06/20/2023]
Abstract
Cholesterol is a crucial component in Mycobacterium tuberculosis virulence as it is required for phagocytosis of mycobacteria by macrophages. In addition, the tubercle bacilli can grow using cholesterol as the sole carbon source. Thus, cholesterol catabolism represents a valuable target for the development of new antitubercular drugs. However, the molecular partners of cholesterol catabolism remain elusive in mycobacteria. Here, we focused on HsaC and HsaD, enzymes involved in two consecutive steps of cholesterol ring degradation and identified putative partners, using a BirA-based proximity-dependent biotin identification (BioID) approach in Mycobacterium smegmatis. In rich medium, the fusion protein BirA-HsaD was able to fish the endogenous cognate HsaC, thus validating this approach to study protein-protein interactions and to infer metabolic channeling of cholesterol ring degradation. In chemically defined medium, both HsaC and HsaD interacted with four proteins, BkdA, BkdB, BkdC, and MSMEG_1634. BkdA, BkdB, and BkdC are enzymes that participate in the degradation of branched-chain amino acids. As cholesterol and branched-chain amino acid catabolism both generate propionyl-CoA, which is a toxic metabolite for mycobacteria, this interconnection suggests a compartmentalization to avoid dissemination of propionyl-CoA into the mycobacterial cytosol. Moreover, the BioID approach allowed us to decipher the interactome of MSMEG_1634 and MSMEG_6518, two proteins of unknown function, which are proximal to the enzymes involved in cholesterol and branched-chain amino acid catabolism. In conclusion, BioID is a powerful tool to characterize protein-protein interactions and to decipher the interconnections between different metabolic pathways, thereby facilitating the identification of new mycobacterial targets.
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Affiliation(s)
- Romain Veyron-Churlet
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France
| | - Sophie Lecher
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France
| | - Anne-Sophie Lacoste
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, UAR CNRS 2014 - US Inserm 41 - PLBS, F-59000, Lille, France
| | - Jean-Michel Saliou
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, UAR CNRS 2014 - US Inserm 41 - PLBS, F-59000, Lille, France
| | - Camille Locht
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille, F-59000, Lille, France
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27
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Susa KJ, Bradshaw GA, Eisert RJ, Schilling CM, Kalocsay M, Blacklow SC, Kruse AC. A Spatiotemporal Map of Co-Receptor Signaling Networks Underlying B Cell Activation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.17.533227. [PMID: 36993395 PMCID: PMC10055206 DOI: 10.1101/2023.03.17.533227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
The B cell receptor (BCR) signals together with a multi-component co-receptor complex to initiate B cell activation in response to antigen binding. This process underlies nearly every aspect of proper B cell function. Here, we take advantage of peroxidase-catalyzed proximity labeling combined with quantitative mass spectrometry to track B cell co-receptor signaling dynamics from 10 seconds to 2 hours after BCR stimulation. This approach enables tracking of 2,814 proximity-labeled proteins and 1,394 quantified phosphosites and provides an unbiased and quantitative molecular map of proteins recruited to the vicinity of CD19, the key signaling subunit of the co-receptor complex. We detail the recruitment kinetics of essential signaling effectors to CD19 following activation, and then identify new mediators of B cell activation. In particular, we show that the glutamate transporter SLC1A1 is responsible for mediating rapid metabolic reprogramming immediately downstream of BCR stimulation and for maintaining redox homeostasis during B cell activation. This study provides a comprehensive map of the BCR signaling pathway and a rich resource for uncovering the complex signaling networks that regulate B cell activation.
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Affiliation(s)
- Katherine J. Susa
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
- Current address: Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA
| | - Gary A. Bradshaw
- Department of Systems Biology, Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Robyn J. Eisert
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Charlotte M. Schilling
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Marian Kalocsay
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Stephen C. Blacklow
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
- Department of Cancer Biology, Dana Farber Cancer Institute, Boston, MA 02215, USA
| | - Andrew C. Kruse
- Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
- Lead contact
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28
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Waduge P, Tian H, Webster KA, Li W. Profiling disease-selective drug targets: From proteomics to ligandomics. Drug Discov Today 2023; 28:103430. [PMID: 36343915 PMCID: PMC9974940 DOI: 10.1016/j.drudis.2022.103430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 10/27/2022] [Accepted: 11/01/2022] [Indexed: 11/06/2022]
Abstract
Despite advancements in omics technologies, including proteomics and transcriptomics, identification of therapeutic targets remains challenging. Ligandomics recently emerged as a unique technology of functional proteomics for global profiling of cell-binding protein ligands. When applied to diseased versus healthy vasculatures, comparative ligandomics systematically maps novel disease-restricted ligands that allow selective targeting of pathological but not physiological pathways, providing high efficacy with intrinsic safety. In this review, we discuss the potential of cellular ligands as therapeutic targets and summarize the development of ligandomics. We further compare the advantages and limitations of different omics technologies for drug target discovery and discuss target selection criteria to improve drug R&D success rates.
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Affiliation(s)
- Prabuddha Waduge
- Cullen Eye Institute, Department of Ophthalmology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hong Tian
- LigandomicsRx, LLC, Houston, TX 77098, USA; Everglades Biopharma, LLC, Houston, TX 77098, USA
| | - Keith A Webster
- Cullen Eye Institute, Department of Ophthalmology, Baylor College of Medicine, Houston, TX 77030, USA; Vascular Biology Institute, Department of Pharmacology, University of Miami School of Medicine, Miami, FL 33136, USA
| | - Wei Li
- Cullen Eye Institute, Department of Ophthalmology, Baylor College of Medicine, Houston, TX 77030, USA.
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29
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Schaack GA, Sullivan OM, Mehle A. Identifying Protein-Protein Interactions by Proximity Biotinylation with AirID and splitAirID. Curr Protoc 2023; 3:e702. [PMID: 36939277 PMCID: PMC10031415 DOI: 10.1002/cpz1.702] [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: 03/21/2023]
Abstract
Proteins frequently function in high-order complexes. Defining protein-protein interactions is essential to acquiring a full understanding of their activity and regulation. Proximity biotinylation has emerged as a highly specific approach to capture transient and stable interactions in living cells or organisms. Proximity biotinylation exploits promiscuous biotinylating enzymes fused to a bait protein, resulting in the biotinylation of adjacent endogenous proteins. Biotinylated interactors are purified under very strict conditions and identified by mass spectrometry to obtain a high-confidence list of candidate binding partners. AirID is a recently described biotin ligase specifically engineered for proximity labeling. This protocol details proximity biotinylation by AirID, using protein complexes that form during a type I interferon response as an example. It covers the construction and validation of AirID fusion proteins and the enrichment and identification of biotinylated interactors. We describe a variation on the protocol using splitAirID. In this case, AirID is split into two inactive fragments and ligase activity is only restored upon dimerization of the bait proteins. This permits selective detection of proteins that interact with homo- or heterodimeric forms of the bait. The protocol considers design strategies, optimization, and the properties of different biotin ligases to identify optimal conditions for each experimental question. We also discuss common pitfalls and how to troubleshoot them. These approaches allow proximity biotinylation to be a powerful tool for defining protein interactomes. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Construction and functional validation of AirID fusion proteins Alternate Protocol: Construction and functional validation of splitAirID fusion proteins Support Protocol: Western blot for biotinylated proteins Basic Protocol 2: Biotinylation, enrichment, and identification of protein interactors.
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Affiliation(s)
| | | | - Andrew Mehle
- Department of Medical Microbiology & Immunology, University of Wisconsin – Madison, Madison, WI 53706, USA
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30
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Kovanich D, Low TY, Zaccolo M. Using the Proteomics Toolbox to Resolve Topology and Dynamics of Compartmentalized cAMP Signaling. Int J Mol Sci 2023; 24:4667. [PMID: 36902098 PMCID: PMC10003371 DOI: 10.3390/ijms24054667] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 02/24/2023] [Accepted: 02/25/2023] [Indexed: 03/04/2023] Open
Abstract
cAMP is a second messenger that regulates a myriad of cellular functions in response to multiple extracellular stimuli. New developments in the field have provided exciting insights into how cAMP utilizes compartmentalization to ensure specificity when the message conveyed to the cell by an extracellular stimulus is translated into the appropriate functional outcome. cAMP compartmentalization relies on the formation of local signaling domains where the subset of cAMP signaling effectors, regulators and targets involved in a specific cellular response cluster together. These domains are dynamic in nature and underpin the exacting spatiotemporal regulation of cAMP signaling. In this review, we focus on how the proteomics toolbox can be utilized to identify the molecular components of these domains and to define the dynamic cellular cAMP signaling landscape. From a therapeutic perspective, compiling data on compartmentalized cAMP signaling in physiological and pathological conditions will help define the signaling events underlying disease and may reveal domain-specific targets for the development of precision medicine interventions.
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Affiliation(s)
- Duangnapa Kovanich
- Center for Vaccine Development, Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand
| | - Teck Yew Low
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia
| | - Manuela Zaccolo
- Department of Physiology, Anatomy and Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford OX1 3PT, UK
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31
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Impact of inherent biases built into proteomic techniques: Proximity labeling and affinity capture compared. J Biol Chem 2022; 299:102726. [PMID: 36410438 PMCID: PMC9791439 DOI: 10.1016/j.jbc.2022.102726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/26/2022] [Accepted: 11/14/2022] [Indexed: 11/20/2022] Open
Abstract
The characterization of protein-protein interactions (PPIs) is of high value for understanding protein function. Two strategies are popular for identification of PPIs direct from the cellular environment: affinity capture (pulldown) isolates the protein of interest with an immobilized matrix that specifically captures the target and potential partners, whereas in BioID, genetic fusion of biotin ligase facilitates proximity biotinylation, and labeled proteins are isolated with streptavidin. Whilst both methods provide valuable insights, they can reveal distinct PPIs, but the basis for these differences is less obvious. Here, we compare both methods using four different trypanosome proteins as baits: poly(A)-binding proteins PABP1 and PABP2, mRNA export receptor MEX67, and the nucleoporin NUP158. With BioID, we found that the population of candidate interacting proteins decreases with more confined bait protein localization, but the candidate population is less variable with affinity capture. BioID returned more likely false positives, in particular for proteins with less confined localization, and identified low molecular weight proteins less efficiently. Surprisingly, BioID for MEX67 identified exclusively proteins lining the inner channel of the nuclear pore complex (NPC), consistent with the function of MEX67, whereas the entire NPC was isolated by pulldown. Similarly, for NUP158, BioID returned surprisingly few PPIs within NPC outer rings that were by contrast detected with pulldown but instead returned a larger cohort of nuclear proteins. These rather significant differences highlight a clear issue with reliance on a single method to identify PPIs and suggest that BioID and affinity capture are complementary rather than alternative approaches.
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32
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Giambruno R, Nicassio F. Proximity-dependent biotinylation technologies for mapping RNA-protein interactions in live cells. Front Mol Biosci 2022; 9:1062448. [PMID: 36452457 PMCID: PMC9702341 DOI: 10.3389/fmolb.2022.1062448] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 10/25/2022] [Indexed: 12/01/2023] Open
Abstract
Proximity ligation technologies are extremely powerful tools for unveiling RNA-protein interactions occurring at different stages in living cells. These approaches mainly rely on the inducible activity of enzymes (biotin ligases or peroxidases) that promiscuously biotinylate macromolecules within a 20 nm range. These enzymes can be either fused to an RNA binding protein or tethered to any RNA of interest and expressed in living cells to biotinylate the amino acids and nucleic acids of binding partners in proximity. The biotinylated molecules can then be easily affinity purified under denaturing conditions and analyzed by mass spectrometry or next generation sequencing. These approaches have been widely used in recent years, providing a potent instrument to map the molecular interactions of specific RNA-binding proteins as well as RNA transcripts occurring in mammalian cells. In addition, they permit the identification of transient interactions as well as interactions among low expressed molecules that are often missed by standard affinity purification strategies. This review will provide a brief overview of the currently available proximity ligation methods, highlighting both their strengths and shortcomings. Furthermore, it will bring further insights to the way these technologies could be further used to characterize post-transcriptional modifications that are known to regulate RNA-protein interactions.
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Affiliation(s)
- Roberto Giambruno
- Center for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia, Milano, Italy
- Institute of Biomedical Technologies, National Research Council, Segrate, Italy
| | - Francesco Nicassio
- Center for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia, Milano, Italy
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33
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Watson J, Ferguson HR, Brady RM, Ferguson J, Fullwood P, Mo H, Bexley KH, Knight D, Howell G, Schwartz JM, Smith MP, Francavilla C. Spatially resolved phosphoproteomics reveals fibroblast growth factor receptor recycling-driven regulation of autophagy and survival. Nat Commun 2022; 13:6589. [PMID: 36329028 DOI: 10.1101/2021.01.17.427038] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 10/19/2022] [Indexed: 05/26/2023] Open
Abstract
Receptor Tyrosine Kinase (RTK) endocytosis-dependent signalling drives cell proliferation and motility during development and adult homeostasis, but is dysregulated in diseases, including cancer. The recruitment of RTK signalling partners during endocytosis, specifically during recycling to the plasma membrane, is still unknown. Focusing on Fibroblast Growth Factor Receptor 2b (FGFR2b) recycling, we reveal FGFR signalling partners proximal to recycling endosomes by developing a Spatially Resolved Phosphoproteomics (SRP) approach based on APEX2-driven biotinylation followed by phosphorylated peptides enrichment. Combining this with traditional phosphoproteomics, bioinformatics, and targeted assays, we uncover that FGFR2b stimulated by its recycling ligand FGF10 activates mTOR-dependent signalling and ULK1 at the recycling endosomes, leading to autophagy suppression and cell survival. This adds to the growing importance of RTK recycling in orchestrating cell fate and suggests a therapeutically targetable vulnerability in ligand-responsive cancer cells. Integrating SRP with other systems biology approaches provides a powerful tool to spatially resolve cellular signalling.
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Affiliation(s)
- Joanne Watson
- Division of Evolution, Infection and Genomics, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Harriet R Ferguson
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Rosie M Brady
- Division of Cancer Sciences, School of Medical Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, Manchester, M20 4GJ, UK
| | - Jennifer Ferguson
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Paul Fullwood
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Hanyi Mo
- Division of Evolution, Infection and Genomics, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Katherine H Bexley
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - David Knight
- Bio-MS Core Research Facility, FBMH, The University of Manchester, M139PT, Manchester, UK
| | - Gareth Howell
- Flow Cytometry Core Research Facility, FBMH, The University of Manchester, M139PT, Manchester, UK
| | - Jean-Marc Schwartz
- Division of Evolution, Infection and Genomics, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Michael P Smith
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK.
| | - Chiara Francavilla
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK.
- Manchester Breast Centre, Manchester Cancer Research Centre, The University of Manchester, M139PT, Manchester, UK.
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Watson J, Ferguson HR, Brady RM, Ferguson J, Fullwood P, Mo H, Bexley KH, Knight D, Howell G, Schwartz JM, Smith MP, Francavilla C. Spatially resolved phosphoproteomics reveals fibroblast growth factor receptor recycling-driven regulation of autophagy and survival. Nat Commun 2022; 13:6589. [PMID: 36329028 PMCID: PMC9633600 DOI: 10.1038/s41467-022-34298-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
Abstract
Receptor Tyrosine Kinase (RTK) endocytosis-dependent signalling drives cell proliferation and motility during development and adult homeostasis, but is dysregulated in diseases, including cancer. The recruitment of RTK signalling partners during endocytosis, specifically during recycling to the plasma membrane, is still unknown. Focusing on Fibroblast Growth Factor Receptor 2b (FGFR2b) recycling, we reveal FGFR signalling partners proximal to recycling endosomes by developing a Spatially Resolved Phosphoproteomics (SRP) approach based on APEX2-driven biotinylation followed by phosphorylated peptides enrichment. Combining this with traditional phosphoproteomics, bioinformatics, and targeted assays, we uncover that FGFR2b stimulated by its recycling ligand FGF10 activates mTOR-dependent signalling and ULK1 at the recycling endosomes, leading to autophagy suppression and cell survival. This adds to the growing importance of RTK recycling in orchestrating cell fate and suggests a therapeutically targetable vulnerability in ligand-responsive cancer cells. Integrating SRP with other systems biology approaches provides a powerful tool to spatially resolve cellular signalling.
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Affiliation(s)
- Joanne Watson
- Division of Evolution, Infection and Genomics, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Harriet R Ferguson
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Rosie M Brady
- Division of Cancer Sciences, School of Medical Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, Manchester, M20 4GJ, UK
| | - Jennifer Ferguson
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Paul Fullwood
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Hanyi Mo
- Division of Evolution, Infection and Genomics, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Katherine H Bexley
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - David Knight
- Bio-MS Core Research Facility, FBMH, The University of Manchester, M139PT, Manchester, UK
| | - Gareth Howell
- Flow Cytometry Core Research Facility, FBMH, The University of Manchester, M139PT, Manchester, UK
| | - Jean-Marc Schwartz
- Division of Evolution, Infection and Genomics, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK
| | - Michael P Smith
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK.
| | - Chiara Francavilla
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology Medicine and Health (FBMH), The University of Manchester, M139PT, Manchester, UK.
- Manchester Breast Centre, Manchester Cancer Research Centre, The University of Manchester, M139PT, Manchester, UK.
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35
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Deciphering Spatial Protein-Protein Interactions in Brain Using Proximity Labeling. Mol Cell Proteomics 2022; 21:100422. [PMID: 36198386 PMCID: PMC9650050 DOI: 10.1016/j.mcpro.2022.100422] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 01/18/2023] Open
Abstract
Cellular biomolecular complexes including protein-protein, protein-RNA, and protein-DNA interactions regulate and execute most biological functions. In particular in brain, protein-protein interactions (PPIs) mediate or regulate virtually all nerve cell functions, such as neurotransmission, cell-cell communication, neurogenesis, synaptogenesis, and synaptic plasticity. Perturbations of PPIs in specific subsets of neurons and glia are thought to underly a majority of neurobiological disorders. Therefore, understanding biological functions at a cellular level requires a reasonably complete catalog of all physical interactions between proteins. An enzyme-catalyzed method to biotinylate proximal interacting proteins within 10 to 300 nm of each other is being increasingly used to characterize the spatiotemporal features of complex PPIs in brain. Thus, proximity labeling has emerged recently as a powerful tool to identify proteomes in distinct cell types in brain as well as proteomes and PPIs in structures difficult to isolate, such as the synaptic cleft, axonal projections, or astrocyte-neuron junctions. In this review, we summarize recent advances in proximity labeling methods and their application to neurobiology.
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Cheng KC, Burdine RD, Dickinson ME, Ekker SC, Lin AY, Lloyd KCK, Lutz CM, MacRae CA, Morrison JH, O'Connor DH, Postlethwait JH, Rogers CD, Sanchez S, Simpson JH, Talbot WS, Wallace DC, Weimer JM, Bellen HJ. Promoting validation and cross-phylogenetic integration in model organism research. Dis Model Mech 2022; 15:276675. [PMID: 36125045 PMCID: PMC9531892 DOI: 10.1242/dmm.049600] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Model organism (MO) research provides a basic understanding of biology and disease due to the evolutionary conservation of the molecular and cellular language of life. MOs have been used to identify and understand the function of orthologous genes, proteins, cells and tissues involved in biological processes, to develop and evaluate techniques and methods, and to perform whole-organism-based chemical screens to test drug efficacy and toxicity. However, a growing richness of datasets and the rising power of computation raise an important question: How do we maximize the value of MOs? In-depth discussions in over 50 virtual presentations organized by the National Institutes of Health across more than 10 weeks yielded important suggestions for improving the rigor, validation, reproducibility and translatability of MO research. The effort clarified challenges and opportunities for developing and integrating tools and resources. Maintenance of critical existing infrastructure and the implementation of suggested improvements will play important roles in maintaining productivity and facilitating the validation of animal models of human biology and disease.
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Affiliation(s)
- Keith C Cheng
- Department of Pathology, Penn State College of Medicine, Hershey, PA 17033, USA.,Institute for Computational and Data Sciences, Pennsylvania State University, Park, PA 16802, USA
| | - Rebecca D Burdine
- Department of Molecular Biology, Princeton University, Princeton, NJ 08540, USA
| | - Mary E Dickinson
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX 77007, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77007, USA
| | - Stephen C Ekker
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55906, USA
| | - Alex Y Lin
- Department of Pathology, Penn State College of Medicine, Hershey, PA 17033, USA
| | - K C Kent Lloyd
- Mouse Biology Program, School of Medicinel, University of California Davis, Davis, CA 95618, USA.,Department of Surgery, School of Medicine, University of California Davis, Davis, CA 95618, USA
| | - Cathleen M Lutz
- The Jackson Laboratory, Genetic Resource Science, Bar Harbor, ME 04609, USA
| | - Calum A MacRae
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 360 Longwood Avenue, Boston, MA 02215, USA
| | - John H Morrison
- California National Primate Research Center, University of California Davis, Davis, CA 95616, USA.,Department of Neurology, University of California Davis, Davis, CA 95616, USA
| | - David H O'Connor
- Department of Pathology and Laboratory Medicine, University ofWisconsin-Madison, Madison, WI 53711, USA
| | | | - Crystal D Rogers
- School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA
| | - Susan Sanchez
- Department of Infectious Diseases, College of Veterinary Medicine, The University of Georgia, Athens, GA 30602, USA
| | - Julie H Simpson
- Department of Molecular, Cell and Developmental Biology, University of California, Santa Barbara, CA 93117, USA
| | - William S Talbot
- Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA
| | - Douglas C Wallace
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jill M Weimer
- Pediatrics and Rare Diseases Group, Sanford Research, Sioux Falls, SD 57104, USA
| | - Hugo J Bellen
- Department of Molecular and Human Genetics, Neurological Research Institute (TCH), Baylor College of Medicine, Houston, TX 77007, USA
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TurboID Identification of Evolutionarily Divergent Components of the Nuclear Pore Complex in the Malaria Model Plasmodium berghei. mBio 2022; 13:e0181522. [PMID: 36040030 PMCID: PMC9601220 DOI: 10.1128/mbio.01815-22] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Twenty years since the publication of the Plasmodium falciparum and P. berghei genomes one-third of their protein-coding genes still lack functional annotation. In the absence of sequence and structural homology, protein-protein interactions can facilitate functional prediction of such orphan genes by mapping protein complexes in their natural cellular environment. The Plasmodium nuclear pore complex (NPC) is a case in point: it remains poorly defined; its constituents lack conservation with the 30+ proteins described in the NPC of many opisthokonts, a clade of eukaryotes that includes fungi and animals, but not Plasmodium. Here, we developed a labeling methodology based on TurboID fusion proteins, which allows visualization of the P. berghei NPC and facilitates the identification of its components. Following affinity purification and mass spectrometry, we identified 4 known nucleoporins (Nups) (138, 205, 221, and the bait 313), and verify interaction with the putative phenylalanine-glycine (FG) Nup637; we assigned 5 proteins lacking annotation (and therefore meaningful homology with proteins outside the genus) to the NPC, which is confirmed by green fluorescent protein (GFP) tagging. Based on gene deletion attempts, all new Nups — Nup176, 269, 335, 390, and 434 — are essential to parasite survival. They lack primary sequence homology with proteins outside the Plasmodium genus; albeit 2 incorporate short domains with structural homology to human Nup155 and yeast Nup157, and the condensin SMC (Structural Maintenance Of Chromosomes 4). The protocols developed here showcase the power of proximity labeling for elucidating protein complex composition and annotation of taxonomically restricted genes in Plasmodium. It opens the door to exploring the function of the Plasmodium NPC and understanding its evolutionary position.
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Sharifi Tabar M, Parsania C, Chen H, Su XD, Bailey CG, Rasko JE. Illuminating the dark protein-protein interactome. CELL REPORTS METHODS 2022; 2:100275. [PMID: 36046620 PMCID: PMC9421580 DOI: 10.1016/j.crmeth.2022.100275] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
In living systems, a complex network of protein-protein interactions (PPIs) underlies most biochemical events. The human protein-protein interactome has been surveyed using yeast two-hybrid (Y2H)- and mass spectrometry (MS)-based approaches such as affinity purification coupled to MS (AP-MS). Despite decades of systematic investigations and collaborative multi-disciplinary efforts, there is no "gold standard" for documenting PPIs. A surprisingly large fraction of the human interactome remains uncharted, which we refer to as the "dark interactome." In this review, we highlight the complexity of the human interactome and discuss the current status of the human reference interactome maps. We discuss why a large proportion of the human interactome has remained refractory to traditional approaches. We propose an experimental model that can enable the identification of the dark interactome in a cell-type-specific manner. We also propose a framework to implement when embarking on studies designed to rigorously identify and characterize protein interactions.
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Affiliation(s)
- Mehdi Sharifi Tabar
- Gene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW 2050, Australia
- Faculty of Medicine & Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Chirag Parsania
- Gene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW 2050, Australia
- Faculty of Medicine & Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Hong Chen
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, and Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing 100871, China
| | - Xiao-Dong Su
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, and Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing 100871, China
| | - Charles G. Bailey
- Gene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW 2050, Australia
- Faculty of Medicine & Health, The University of Sydney, Sydney, NSW 2006, Australia
- Cancer & Gene Regulation Laboratory Centenary Institute, The University of Sydney, Camperdown, NSW 2050, Australia
| | - John E.J. Rasko
- Gene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW 2050, Australia
- Faculty of Medicine & Health, The University of Sydney, Sydney, NSW 2006, Australia
- Cell & Molecular Therapies, Royal Prince Alfred Hospital, Camperdown, NSW 2050, Australia
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Depletion of endogenously biotinylated carboxylases enhances the sensitivity of TurboID-mediated proximity labeling in C. elegans. J Biol Chem 2022; 298:102343. [PMID: 35933017 PMCID: PMC9437848 DOI: 10.1016/j.jbc.2022.102343] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/21/2022] [Accepted: 07/27/2022] [Indexed: 11/25/2022] Open
Abstract
Proximity-dependent protein labeling provides a powerful in vivo strategy to characterize the interactomes of specific proteins. We previously optimized a proximity labeling protocol for Caenorhabditis elegans using the highly active biotin ligase TurboID. A significant constraint on the sensitivity of TurboID is the presence of abundant endogenously biotinylated proteins that take up bandwidth in the mass spectrometer, notably carboxylases that use biotin as a cofactor. In C. elegans, these comprise POD-2/acetyl-CoA carboxylase alpha, PCCA-1/propionyl-CoA carboxylase alpha, PYC-1/pyruvate carboxylase, and MCCC-1/methylcrotonyl-CoA carboxylase alpha. Here, we developed ways to remove these carboxylases prior to streptavidin purification and mass spectrometry by engineering their corresponding genes to add a C-terminal His10 tag. This allows us to deplete them from C. elegans lysates using immobilized metal affinity chromatography. To demonstrate the method's efficacy, we use it to expand the interactome map of the presynaptic active zone protein ELKS-1. We identify many known active zone proteins, including UNC-10/RIM, SYD-2/liprin-alpha, SAD-1/BRSK1, CLA-1/CLArinet, C16E9.2/Sentryn, as well as previously uncharacterized potentially synaptic proteins such as the ortholog of human angiomotin, F59C12.3 and the uncharacterized protein R148.3. Our approach provides a quick and inexpensive solution to a common contaminant problem in biotin-dependent proximity labeling. The approach may be applicable to other model organisms and will enable deeper and more complete analysis of interactors for proteins of interest.
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40
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Uçkun E, Wolfstetter G, Fuchs J, Palmer RH. In vivo Characterization of Endogenous Protein Interactomes in Drosophila Larval Brain, Using a CRISPR/Cas9-based Strategy and BioID-based Proximity Labeling. Bio Protoc 2022; 12:e4458. [PMID: 35937934 PMCID: PMC9303817 DOI: 10.21769/bioprotoc.4458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 05/10/2022] [Accepted: 05/12/2022] [Indexed: 12/29/2022] Open
Abstract
Understanding protein-protein interactions (PPIs) and interactome networks is essential to reveal molecular mechanisms mediating various cellular processes. The most common method to study PPIs in vivo is affinity purification combined with mass spectrometry (AP-MS). Although AP-MS is a powerful method, loss of weak and transient interactions is still a major limitation. Proximity labeling (PL) techniques have been developed as alternatives to overcome these limitations. Proximity-dependent biotin identification (BioID) is one such widely used PL method. The first-generation BioID enzyme BirA*, a promiscuous bacterial biotin ligase, has been effectively used in cultured mammalian cells; however, relatively slow enzyme kinetics make it less effective for temporal analysis of protein interactions. In addition, BirA* exhibits reduced activity at temperatures below 37°C, further restricting its use in intact organisms cultured at lower optimal growth temperatures ( e.g., Drosophila melanogaster ). TurboID, miniTurbo, and BirA*-G3 are next generation BirA* variants with improved catalytic activity, allowing investigators to use this powerful tool in model systems such as flies. Here, we describe a detailed experimental workflow to efficiently identify the proximal proteome (proximitome) of a protein of interest (POI) in the Drosophila brain using CRISPR/Cas9-induced homology-directed repair (HDR) strategies to endogenously tag the POI with next generation BioID enzymes.
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Affiliation(s)
- Ezgi Uçkun
- Department of Medical Biochemistry and Cell Biology, Instititute of Biomedicine at the Sahlgrenska Academy, University of Gothenburg, SE-40530 Gothenburg, Sweden
| | - Georg Wolfstetter
- Department of Medical Biochemistry and Cell Biology, Instititute of Biomedicine at the Sahlgrenska Academy, University of Gothenburg, SE-40530 Gothenburg, Sweden
| | - Johannes Fuchs
- Proteomics Core Facility, Sahlgrenska Academy, University of Gothenburg, SE-40530 Gothenburg, Sweden
| | - Ruth H. Palmer
- Department of Medical Biochemistry and Cell Biology, Instititute of Biomedicine at the Sahlgrenska Academy, University of Gothenburg, SE-40530 Gothenburg, Sweden
,
*For correspondence:
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41
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Qian P, Wang X, Zhong CQ, Wang J, Cai M, Nguitragool W, Li J, Cui H, Yuan J. Inner membrane complex proteomics reveals a palmitoylation regulation critical for intraerythrocytic development of malaria parasite. eLife 2022; 11:77447. [PMID: 35775739 PMCID: PMC9293000 DOI: 10.7554/elife.77447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 06/24/2022] [Indexed: 11/21/2022] Open
Abstract
Malaria is caused by infection of the erythrocytes by the parasites Plasmodium. Inside the erythrocytes, the parasites multiply via schizogony, an unconventional cell division mode. The inner membrane complex (IMC), an organelle located beneath the parasite plasma membrane, serving as the platform for protein anchorage, is essential for schizogony. So far, the complete repertoire of IMC proteins and their localization determinants remain unclear. Here we used biotin ligase (TurboID)-based proximity labeling to compile the proteome of the schizont IMC of the rodent malaria parasite Plasmodium yoelii. In total, 300 TurboID-interacting proteins were identified. 18 of 21 selected candidates were confirmed to localize in the IMC, indicating good reliability. In light of the existing palmitome of Plasmodium falciparum, 83 proteins of the P. yoelii IMC proteome are potentially palmitoylated. We further identified DHHC2 as the major resident palmitoyl-acyl-transferase of the IMC. Depletion of DHHC2 led to defective schizont segmentation and growth arrest both in vitro and in vivo. DHHC2 was found to palmitoylate two critical IMC proteins CDPK1 and GAP45 for their IMC localization. In summary, this study reports an inventory of new IMC proteins and demonstrates a central role of DHHC2 in governing the IMC localization of proteins during the schizont development.
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Affiliation(s)
- Pengge Qian
- Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China
| | - Xu Wang
- Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China
| | - Chuan-Qi Zhong
- Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China
| | - Jiaxu Wang
- Xiamen Center for Disease Control and Prevention, Xiamen, China
| | - Mengya Cai
- Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China
| | - Wang Nguitragool
- Department of Molecular Tropical Medicine and Genetics, Mahidol University, Bangkok, Thailand
| | - Jian Li
- Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China
| | - Huiting Cui
- Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China
| | - Jing Yuan
- Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China
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42
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Sánchez-Álvarez M, Del Pozo MÁ, Bosch M, Pol A. Insights Into the Biogenesis and Emerging Functions of Lipid Droplets From Unbiased Molecular Profiling Approaches. Front Cell Dev Biol 2022; 10:901321. [PMID: 35756995 PMCID: PMC9213792 DOI: 10.3389/fcell.2022.901321] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 05/17/2022] [Indexed: 11/30/2022] Open
Abstract
Lipid droplets (LDs) are spherical, single sheet phospholipid-bound organelles that store neutral lipids in all eukaryotes and some prokaryotes. Initially conceived as relatively inert depots for energy and lipid precursors, these highly dynamic structures play active roles in homeostatic functions beyond metabolism, such as proteostasis and protein turnover, innate immunity and defense. A major share of the knowledge behind this paradigm shift has been enabled by the use of systematic molecular profiling approaches, capable of revealing and describing these non-intuitive systems-level relationships. Here, we discuss these advances and some of the challenges they entail, and highlight standing questions in the field.
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Affiliation(s)
- Miguel Sánchez-Álvarez
- Cell and Developmental Biology Area, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Miguel Ángel Del Pozo
- Cell and Developmental Biology Area, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Marta Bosch
- Lipid Trafficking and Disease Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Department of Biomedical Sciences, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Albert Pol
- Lipid Trafficking and Disease Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Department of Biomedical Sciences, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
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43
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Zhou Y, Sotcheff SL, Routh AL. Next-generation sequencing: A new avenue to understand viral RNA-protein interactions. J Biol Chem 2022; 298:101924. [PMID: 35413291 PMCID: PMC8994257 DOI: 10.1016/j.jbc.2022.101924] [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: 11/11/2021] [Revised: 04/01/2022] [Accepted: 04/02/2022] [Indexed: 10/25/2022] Open
Abstract
The genomes of RNA viruses present an astonishing source of both sequence and structural diversity. From intracellular viral RNA-host interfaces to interactions between the RNA genome and structural proteins in virus particles themselves, almost the entire viral lifecycle is accompanied by a myriad of RNA-protein interactions that are required to fulfill their replicative potential. It is therefore important to characterize such rich and dynamic collections of viral RNA-protein interactions to understand virus evolution and their adaptation to their hosts and environment. Recent advances in next-generation sequencing technologies have allowed the characterization of viral RNA-protein interactions, including both transient and conserved interactions, where molecular and structural approaches have fallen short. In this review, we will provide a methodological overview of the high-throughput techniques used to study viral RNA-protein interactions, their biochemical mechanisms, and how they evolved from classical methods as well as one another. We will discuss how different techniques have fueled virus research to characterize how viral RNA and proteins interact, both locally and on a global scale. Finally, we will present examples on how these techniques influence the studies of clinically important pathogens such as HIV-1 and SARS-CoV-2.
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Affiliation(s)
- Yiyang Zhou
- Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, Texas, USA.
| | - Stephanea L Sotcheff
- Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, Texas, USA
| | - Andrew L Routh
- Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, Texas, USA; Sealy Center for Structural Biology and Molecular Biophysics, The University of Texas Medical Branch, Galveston, Texas, USA; Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, Texas, USA
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44
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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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45
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Vanslembrouck B, Chen JH, Larabell C, van Hengel J. Microscopic Visualization of Cell-Cell Adhesion Complexes at Micro and Nanoscale. Front Cell Dev Biol 2022; 10:819534. [PMID: 35517500 PMCID: PMC9065677 DOI: 10.3389/fcell.2022.819534] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 03/21/2022] [Indexed: 12/25/2022] Open
Abstract
Considerable progress has been made in our knowledge of the morphological and functional varieties of anchoring junctions. Cell-cell adhesion contacts consist of discrete junctional structures responsible for the mechanical coupling of cytoskeletons and allow the transmission of mechanical signals across the cell collective. The three main adhesion complexes are adherens junctions, tight junctions, and desmosomes. Microscopy has played a fundamental role in understanding these adhesion complexes on different levels in both physiological and pathological conditions. In this review, we discuss the main light and electron microscopy techniques used to unravel the structure and composition of the three cell-cell contacts in epithelial and endothelial cells. It functions as a guide to pick the appropriate imaging technique(s) for the adhesion complexes of interest. We also point out the latest techniques that have emerged. At the end, we discuss the problems investigators encounter during their cell-cell adhesion research using microscopic techniques.
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Affiliation(s)
- Bieke Vanslembrouck
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Department of Anatomy, University of San Francisco, San Francisco, CA, United States
- *Correspondence: Bieke Vanslembrouck, ; Jolanda van Hengel,
| | - Jian-hua Chen
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Department of Anatomy, University of San Francisco, San Francisco, CA, United States
| | - Carolyn Larabell
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Department of Anatomy, University of San Francisco, San Francisco, CA, United States
| | - Jolanda van Hengel
- Medical Cell Biology Research Group, Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- *Correspondence: Bieke Vanslembrouck, ; Jolanda van Hengel,
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Murakawa T, Nakamura T, Kawaguchi K, Murayama F, Zhao N, Stasevich TJ, Kimura H, Fujita N. A Drosophila toolkit for HA-tagged proteins unveils a block in autophagy flux in the last instar larval fat body. Development 2022; 149:274775. [DOI: 10.1242/dev.200243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 01/27/2022] [Indexed: 01/18/2023]
Abstract
ABSTRACT
For in vivo functional analysis of a protein of interest (POI), multiple transgenic strains with a POI that harbors different tags are needed but generation of these strains is still labor-intensive work. To overcome this, we have developed a versatile Drosophila toolkit with a genetically encoded single-chain variable fragment for the HA epitope tag: ‘HA Frankenbody’. This system allows various analyses of HA-tagged POI in live tissues by simply crossing an HA Frankenbody fly with an HA-tagged POI fly. Strikingly, the GFP-mCherry tandem fluorescent-tagged HA Frankenbody revealed a block in autophagic flux and an accumulation of enlarged autolysosomes in the last instar larval and prepupal fat body. Mechanistically, lysosomal activity was downregulated at this stage, and endocytosis, but not autophagy, was indispensable for the swelling of lysosomes. Furthermore, forced activation of lysosomes by fat body-targeted overexpression of Mitf, the single MiTF/TFE family gene in Drosophila, suppressed the lysosomal swelling and resulted in pupal lethality. Collectively, we propose that downregulated lysosomal function in the fat body plays a role in the metamorphosis of Drosophila.
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Affiliation(s)
- Tadayoshi Murakawa
- Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, 4259-S2-11 Nagatsuta-cho, Midori-ku, Yokohama 226-8503, Japan
- Graduate School of Life Science and Technology, Tokyo Institute of Technology, Yokohama 226-8503, Japan
| | - Tsuyoshi Nakamura
- Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, 4259-S2-11 Nagatsuta-cho, Midori-ku, Yokohama 226-8503, Japan
| | - Kohei Kawaguchi
- Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, 4259-S2-11 Nagatsuta-cho, Midori-ku, Yokohama 226-8503, Japan
| | - Futoshi Murayama
- Graduate School of Life Science and Technology, Tokyo Institute of Technology, Yokohama 226-8503, Japan
| | - Ning Zhao
- Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - Timothy J. Stasevich
- Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA
- World Research Hub Initiative, Tokyo Institute of Technology, Yokohama 226-8503, Japan
| | - Hiroshi Kimura
- Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, 4259-S2-11 Nagatsuta-cho, Midori-ku, Yokohama 226-8503, Japan
- Graduate School of Life Science and Technology, Tokyo Institute of Technology, Yokohama 226-8503, Japan
- World Research Hub Initiative, Tokyo Institute of Technology, Yokohama 226-8503, Japan
| | - Naonobu Fujita
- Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, 4259-S2-11 Nagatsuta-cho, Midori-ku, Yokohama 226-8503, Japan
- Graduate School of Life Science and Technology, Tokyo Institute of Technology, Yokohama 226-8503, Japan
- Precursory Research for Embryonic Science & Technology (PRESTO), Japan Science & Technology Agency (JST), 4-1-8 Honcho Kawaguchi, Saitama 332-0012, Japan
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Zuo P, Gong F, Yang Y, Ji X, He Z. In situ fluorescence imaging of fungi via (1,3)-β-D-glucan aptamer and tyramide signal amplification technology. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.02.064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Kushner JS, Liu G, Eisert RJ, Bradshaw GA, Pitt GS, Hinson JT, Kalocsay M, Marx SO. Detecting Cardiovascular Protein-Protein Interactions by Proximity Proteomics. Circ Res 2022; 130:273-287. [PMID: 35050691 PMCID: PMC8852690 DOI: 10.1161/circresaha.121.319810] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Rapidly changing and transient protein-protein interactions regulate dynamic cellular processes in the cardiovascular system. Traditional methods, including affinity purification and mass spectrometry, have revealed many macromolecular complexes in cardiomyocytes and the vasculature. Yet these methods often fail to identify in vivo or transient protein-protein interactions. To capture these interactions in living cells and animals with subsequent mass spectrometry identification, enzyme-catalyzed proximity labeling techniques have been developed in the past decade. Although the application of this methodology to cardiovascular research is still in its infancy, the field is developing rapidly, and the promise is substantial. In this review, we outline important concepts and discuss how proximity proteomics has been applied to study physiological and pathophysiological processes relevant to the cardiovascular system.
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Affiliation(s)
- Jared S. Kushner
- Division of Cardiology, Department of Medicine; Columbia University, Vagelos College of Physicians and Surgeons
| | - Guoxia Liu
- Division of Cardiology, Department of Medicine; Columbia University, Vagelos College of Physicians and Surgeons
| | - Robyn J. Eisert
- Department of Systems Biology, Laboratory of Systems Pharmacology, Harvard Medical School
| | - Gary A. Bradshaw
- Department of Systems Biology, Laboratory of Systems Pharmacology, Harvard Medical School
| | - Geoffrey S. Pitt
- Cardiovascular Research Institute, Weill Cornell Medical College
| | - J. Travis Hinson
- Cardiology Center, UConn Health, Farmington, CT
- The Jackson Laboratory for Genomic Medicine, Farmington, CT
| | - Marian Kalocsay
- Department of Systems Biology, Laboratory of Systems Pharmacology, Harvard Medical School
| | - Steven O. Marx
- Division of Cardiology, Department of Medicine; Columbia University, Vagelos College of Physicians and Surgeons
- Department of Molecular Pharmacology and Therapeutics, Columbia University, Vagelos College of Physicians and Surgeons
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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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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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