<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bhatta R</submitter><funding>United States Department of Defense | Defense Advanced Research Projects Agency</funding><funding>United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Cancer Institute</funding><funding>NCI NIH HHS</funding><funding>U.S. Department of Health &amp;amp; Human Services | National Institutes of Health</funding><funding>National Science Foundation</funding><pagination>8047</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10697976</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(1)</volume><pubmed_abstract>As key mediators of cellular communication, extracellular vesicles (EVs) have been actively explored for diagnostic and therapeutic applications. However, effective methods to functionalize EVs and modulate the interaction between EVs and recipient cells are still lacking. Here we report a facile and universal metabolic tagging technology that can install unique chemical tags (e.g., azido groups) onto EVs. The surface chemical tags enable conjugation of molecules via efficient click chemistry, for the tracking and targeted modulation of EVs. In the context of tumor EV vaccines, we show that the conjugation of toll-like receptor 9 agonists onto EVs enables timely activation of dendritic cells and generation of superior antitumor CD8&lt;sup>+&lt;/sup> T cell response. These lead to 80% tumor-free </pubmed_abstract><journal>Nature communications</journal><pubmed_title>Metabolic tagging of extracellular vesicles and development of enhanced extracellular vesicle based cancer vaccines.</pubmed_title><pmcid>PMC10697976</pmcid><funding_grant_id>FA9550-23-1-0609</funding_grant_id><funding_grant_id>R01 CA274738</funding_grant_id><funding_grant_id>N660012314013</funding_grant_id><funding_grant_id>NIH R01CA274738</funding_grant_id><funding_grant_id>R21 CA270872</funding_grant_id><funding_grant_id>NIH R21CA270872</funding_grant_id><funding_grant_id>R01CA234025</funding_grant_id><funding_grant_id>DMR 2143673 CAR</funding_grant_id><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Chen Q</pubmed_authors><pubmed_authors>Hassaneen W</pubmed_authors><pubmed_authors>Bo Y</pubmed_authors><pubmed_authors>Zhang XS</pubmed_authors><pubmed_authors>Han J</pubmed_authors><pubmed_authors>Wang H</pubmed_authors><pubmed_authors>Bhatta R</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Nelson ER</pubmed_authors><pubmed_authors>Lee D</pubmed_authors><pubmed_authors>Zhou J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Metabolic tagging of extracellular vesicles and development of enhanced extracellular vesicle based cancer vaccines.</name><description>As key mediators of cellular communication, extracellular vesicles (EVs) have been actively explored for diagnostic and therapeutic applications. However, effective methods to functionalize EVs and modulate the interaction between EVs and recipient cells are still lacking. Here we report a facile and universal metabolic tagging technology that can install unique chemical tags (e.g., azido groups) onto EVs. The surface chemical tags enable conjugation of molecules via efficient click chemistry, for the tracking and targeted modulation of EVs. In the context of tumor EV vaccines, we show that the conjugation of toll-like receptor 9 agonists onto EVs enables timely activation of dendritic cells and generation of superior antitumor CD8&lt;sup>+&lt;/sup> T cell response. These lead to 80% tumor-free </description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Dec</publication><modification>2025-04-25T17:19:47.336Z</modification><creation>2025-04-06T05:13:25.863Z</creation></dates><accession>S-EPMC10697976</accession><cross_references><pubmed>38052869</pubmed><doi>10.1038/s41467-023-43914-8</doi></cross_references></HashMap>