2017
DOI: 10.1038/nmeth.4185
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EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research

Abstract: We argue that the field of extracellular vesicle (EV) biology needs more transparent reporting to facilitate interpretation and replication of experiments. To achieve this, we describe EV-TRACK, a crowdsourcing knowledgebase (http://evtrack.org) that centralizes EV biology and methodology with the goal of stimulating authors, reviewers, editors and funders to put experimental guidelines into practice.

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Cited by 1,000 publications
(781 citation statements)
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References 37 publications
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“…Optimisation of AF4/UV-MALS is needed for the use as an isolation method. We propose to include AF4/UV-MALS as a standard characterisation method for EVs in ISEV guidelines and tools like EV-TRACK [31] to increase the quality of EV related research.…”
Section: Discussionmentioning
confidence: 99%
“…Optimisation of AF4/UV-MALS is needed for the use as an isolation method. We propose to include AF4/UV-MALS as a standard characterisation method for EVs in ISEV guidelines and tools like EV-TRACK [31] to increase the quality of EV related research.…”
Section: Discussionmentioning
confidence: 99%
“…We have submitted all relevant data of our experiments to the EV-TRACK knowledgebase (EV-TRACK ID: EV170014)[30]. …”
Section: Methodsmentioning
confidence: 99%
“…We have submitted all relevant data of our experiments to the EV-TRACK knowledgebase (EV-TRACK ID: EV180058) [22]. …”
Section: Methodsmentioning
confidence: 99%