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  • You could download EVpedia-related figure collections via this link.

The secretion of extracellular vesicles (EVs) is a universal cellular process occurring from simple organisms, such as archaea and bacteria, to complex multi-cellular organisms, including mammals. This suggests that EV-mediated communication is an evolutionarily conserved process. These EVs are spherical bilayered proteolipids with an average diameter of 20-1,000 nm, and are enriched with various bioactive materials, including proteins, genetic materials, and lipids. Although proteomic, transcriptomic (mRNA and miRNA), and lipidomic analyses have allowed several thousands of vesicular proteins, transcripts, and lipids to be cataloged, there is still the lack of resources providing vesicular proteome, transcriptome, and lipidome database from diverse types of cells and analytical tools for comparative analyses.
EVpedia is an integrated and comprehensive proteome, transcriptome, and lipidome database of EVs derived from archaea, bacteria, and eukarya, including human. EVpedia provides an array of tools, such as search and browse tools for vesicular proteins, comparison of vesicular datasets by ortholog identification, Gene Ontology enrichment analyses and network analyses of vesicular proteins. Furthermore, EVpedia provides databases of vesicular mRNAs, miRNAs, and lipids. Thus, EVpedia might serve as a useful community resource to trigger the advancement of systematic and comprehensive studies of EVs and to unveil the fundamental roles of EVs.

To refer EVpedia, please cite these papers
  • Kim DK, Lee J, Kim SR, Choi DS, Yoon YJ, Kim JH, Go G, Nhung D, Hong K, Jang SC, Kim SH, Park KS, Kim OY, Park HT, Seo JH, Aikawa E, Baj-Krzyworzeka M, Van Balkom BW, Belting M, Blanc L, Bond V, Bongiovanni A, Borràs FE, Buée L, Buzás EI, Cheng L, Clayton A, Cocucci E, Dela Cruz CS, Desiderio DM, Di Vizio D, Ekström K, Falcon-Perez JM, Gardiner C, Giebel B, Greening DW, Gross JC, Gupta D, Hendrix A, Hill AF, Hill MM, Hoen EN, Hwang DW, Inal J, Jagannadham MV, Jayachandran M, Jee YK, Jørgensen M, Kim KP, Kim YK, Kislinger T, Lässer C, Lee DS, Lee H, Van Leeuwen J, Lener T, Liu ML, Lötvall J, Marcilla A, Mathivanan S, Möller A, Morhayim J, Mullier F, Nazarenko I, Nieuwland R, Nunes DN, Pang K, Park J, Patel T, Pocsfalvi G, Del Portillo H, Putz U, Ramirez MI, Rodrigues ML, Roh TY, Royo F, Sahoo S, Schiffelers R, Sharma S, Siljander P, Simpson RJ, Soekmadji C, Stahl P, Stensballe A, Stępień E, Tahara H, Trummer A, Valadi H, Vella LJ, Wai SN, Witwer K, Yáñez-Mó M, Youn H, Zeidler R, Gho YS. "EVpedia: A community web portal for extracellular vesicles research"
    Bioinformatics. 2015 Mar 15;31(6):933-9. PubMed Link
  • Kim DK, Kang B, Kim OY, Choi DS, Lee J, Kim SR, Go G, Yoon YJ, Kim JH, Jang SC, Park KS, Choi EJ, Kim KP, Desiderio DM, Kim YK, Lotvall J, Hwang D, and Gho YS. "EVpedia: an integrated database of high-throughput data for systemic analyses of extracellular vesicles."
    J Extracell Vesicles. 2013 Mar 19;2. doi: 10.3402/jev.v2i0.20384. PubMed Link
  • Choi DS, Kim DK, Kim YK, and Gho YS. "Proteomics, transcriptomics, and lipidomics of exosomes and ectosomes."
    Proteomics. 2013 May;13(10-11):1554-71. PubMed Link
  • Choi DS, Kim DK, Kim YK, and Gho YS. "Proteomics of extracellular vesicles: Exosomes and ectosomes." 
    Mass Spectrom Rev. 2015 Jul-Aug;34(4):474-90. PubMed Link
  • Kim DK, Lee J, Simpson R, Lötvall J, Gho YS. "EVpedia: A community web resource for prokaryotic and eukaryotic extracellular vesicles research." 
            Semin Cell Dev Biol. 2015 Apr;40:4-7PubMed Link

Please contribute to EVpedia. We need your helps......
Thank you for having an interest in EVpedia. You can help us improve EVpedia by: 
  • Uploading the published or unpublished protein/mRNA/miRNA/lipid datasets of EVs
    Note that they could be deposited as private datasets before publication.

  • Informing us with any EV-related publications which we have not addressed in EVpedia.

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This database is launched on January 27th, 2012 / latest update on Sep 27th, 2021

High-throughput studies High-throughput datasets Molecules Publications Principal investigators
503 1,114 722,551 14,192 7,376

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© 2012-2021, Lab. of Intercellular Communication Network, Department of Life Sciences, Pohang University of Science and Technology,
77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, Republic of Korea