作者
Hina Kalra, Richard J Simpson, Hong Ji, Elena Aikawa, Peter Altevogt, Philip Askenase, Vincent C Bond, Francesc E Borràs, Xandra Breakefield, Vivian Budnik, Edit Buzas, Giovanni Camussi, Aled Clayton, Emanuele Cocucci, Juan M Falcon-Perez, Susanne Gabrielsson, Yong Song Gho, Dwijendra Gupta, HC Harsha, An Hendrix, Andrew F Hill, Jameel M Inal, Guido Jenster, Eva-Maria Krämer-Albers, Sai Kiang Lim, Alicia Llorente, Jan Lötvall, Antonio Marcilla, Lucia Mincheva-Nilsson, Irina Nazarenko, Rienk Nieuwland, Esther NM Nolte-'t Hoen, Akhilesh Pandey, Tushar Patel, Melissa G Piper, Stefano Pluchino, TS Keshava Prasad, Lawrence Rajendran, Graca Raposo, Michel Record, Gavin E Reid, Francisco Sánchez-Madrid, Raymond M Schiffelers, Pia Siljander, Allan Stensballe, Willem Stoorvogel, Douglas Taylor, Clotilde Thery, Hadi Valadi, Bas WM van Balkom, Jesús Vázquez, Michel Vidal, Marca HM Wauben, María Yáñez-Mó, Margot Zoeller, Suresh Mathivanan
发表日期
2012/12/18
期刊
PLoS biology
卷号
10
期号
12
页码范围
e1001450
出版商
Public Library of Science
简介
Extracellular vesicles (EVs) are membraneous vesicles released by a variety of cells into their microenvironment. Recent studies have elucidated the role of EVs in intercellular communication, pathogenesis, drug, vaccine and gene-vector delivery, and as possible reservoirs of biomarkers. These findings have generated immense interest, along with an exponential increase in molecular data pertaining to EVs. Here, we describe Vesiclepedia, a manually curated compendium of molecular data (lipid, RNA, and protein) identified in different classes of EVs from more than 300 independent studies published over the past several years. Even though databases are indispensable resources for the scientific community, recent studies have shown that more than 50% of the databases are not regularly updated. In addition, more than 20% of the database links are inactive. To prevent such database and link decay, we have initiated a continuous community annotation project with the active involvement of EV researchers. The EV research community can set a gold standard in data sharing with Vesiclepedia, which could evolve as a primary resource for the field.
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