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      LAMP2A regulates the loading of proteins into exosomes

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          Abstract

          Exosomes are extracellular vesicles of endosomal origin that are released by practically all cell types across metazoans. Exosomes are active vehicles of intercellular communication and can transfer lipids, RNAs, and proteins between different cells, tissues, or organs. Here, we describe a mechanism whereby proteins containing a KFERQ motif pentapeptide are loaded into a subpopulation of exosomes in a process that is dependent on the membrane protein LAMP2A. Moreover, we demonstrate that this mechanism is independent of the ESCRT machinery but dependent on HSC70, CD63, Alix, Syntenin-1, Rab31, and ceramides. We show that the master regulator of hypoxia HIF1A is loaded into exosomes by this mechanism to transport hypoxia signaling to normoxic cells. In addition, by tagging fluorescent proteins with KFERQ-like sequences, we were able to follow the interorgan transfer of exosomes. Our findings open new avenues for exosome engineering by allowing the loading of bioactive proteins by tagging them with KFERQ-like motifs.

          Abstract

          Abstract

          LAMP2A targets cytosolic proteins to extracellular vesicles to modulate interorgan communication.

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          Most cited references57

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines

            ABSTRACT The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), a collective term covering various subtypes of cell-released, membranous structures, called exosomes, microvesicles, microparticles, ectosomes, oncosomes, apoptotic bodies, and many other names. However, specific issues arise when working with these entities, whose size and amount often make them difficult to obtain as relatively pure preparations, and to characterize properly. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014. We now update these “MISEV2014” guidelines based on evolution of the collective knowledge in the last four years. An important point to consider is that ascribing a specific function to EVs in general, or to subtypes of EVs, requires reporting of specific information beyond mere description of function in a crude, potentially contaminated, and heterogeneous preparation. For example, claims that exosomes are endowed with exquisite and specific activities remain difficult to support experimentally, given our still limited knowledge of their specific molecular machineries of biogenesis and release, as compared with other biophysically similar EVs. The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific EV-associated functional activities. Finally, a checklist is provided with summaries of key points.
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              MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

              Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope-labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Resources
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Validation
                Role: Data curationRole: InvestigationRole: Validation
                Role: InvestigationRole: Methodology
                Role: InvestigationRole: MethodologyRole: ResourcesRole: ValidationRole: VisualizationRole: Writing - review & editing
                Role: InvestigationRole: MethodologyRole: ResourcesRole: ValidationRole: Writing - review & editing
                Role: Formal analysisRole: InvestigationRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: InvestigationRole: MethodologyRole: ResourcesRole: ValidationRole: Writing - review & editing
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: InvestigationRole: Writing - review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing - review & editing
                Journal
                Sci Adv
                Sci Adv
                sciadv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                March 2022
                25 March 2022
                : 8
                : 12
                : eabm1140
                Affiliations
                [1 ]Proteostasis and Proteolytic Signalling Lab, Chronic Diseases Research Centre (CEDOC), NOVA Medical School, Faculdade de Ciencias Medicas, Universidade NOVA de Lisboa, Lisbon, Portugal.
                [2 ]Fish Facility, CEDOC, NOVA Medical School, Faculdade de Ciencias Medicas, Universidade NOVA de Lisboa, Lisbon, Portugal.
                [3 ]Computational and Experimental Biology Group, CEDOC, NOVA Medical School, Faculdade de Ciencias Medicas, Universidade NOVA de Lisboa, Lisbon, Portugal.
                [4 ]Centre for Clinical Proteomics, Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark.
                [5 ]University of Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, Center for Innovative Biomedicine and Biotechnology (CIBB), Clinical Academic Centre of Coimbra (CACC), Coimbra, Portugal.
                [6 ]Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, F-75014 Paris, France.
                [7 ]GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, F-75014 Paris, France.
                Author notes
                [* ]Corresponding author. Email: paulo.pereira@ 123456nms.unl.pt
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-5897-7461
                https://orcid.org/0000-0002-0371-4610
                https://orcid.org/0000-0002-1927-164X
                https://orcid.org/0000-0002-9842-3479
                https://orcid.org/0000-0002-3634-1128
                https://orcid.org/0000-0003-3635-6220
                https://orcid.org/0000-0003-0657-1907
                https://orcid.org/0000-0002-6353-2616
                https://orcid.org/0000-0001-8294-6980
                https://orcid.org/0000-0002-8651-9705
                https://orcid.org/0000-0002-9908-2290
                Article
                abm1140
                10.1126/sciadv.abm1140
                8956266
                35333565
                8954156d-6901-4a2f-9a5b-f4fa614a00e8
                Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 August 2021
                : 04 February 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: SFRH/BPD/121271/2016
                Funded by: FundRef http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: PD/BD/106052/2015
                Funded by: FundRef http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: PD/BD/136902/2018
                Funded by: FundRef http://dx.doi.org/10.13039/501100001871, Fundação para a Ciência e a Tecnologia;
                Award ID: PTDC/SAU-ORG/118694/2010
                Funded by: iNOVA4Health;
                Award ID: LISBOA-01-0145-FEDER-007344
                Funded by: FEDER/ Project;
                Award ID: 02/SAICT/2020/072552
                Funded by: FundRef http://dx.doi.org/10.13039/501100008530, European Regional Development Fund;
                Award ID: NOVA4H
                Funded by: UIDB Multi;
                Award ID: 04462/2020
                Categories
                Research Article
                Biomedicine and Life Sciences
                SciAdv r-articles
                Cell Biology
                Molecular Biology
                Cell Biology
                Custom metadata
                Adrienne Del Mundo

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