The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Vesiclepedia 2019: a compendium of RNA, proteins, lipids and metabolites in extracellular vesicles
Open accessAbstract
Extracellular vesicles (EVs) are membranous vesicles that are released by both prokaryotic and eukaryotic cells into the extracellular microenvironment. EVs can be categorised as exosomes, ectosomes or shedding microvesicles and apoptotic bodies based on the mode of biogenesis. EVs contain biologically active cargo of nucleic acids, proteins, lipids and metabolites that can be altered based on the precise state of the cell. Vesiclepedia (http://www.microvesicles.org) is a web-based compendium of RNA, proteins, lipids and metabolites that are identified in EVs from both published and unpublished studies. Currently, Vesiclepedia contains data obtained from 1254 EV studies, 38 146 RNA entries, 349 988 protein entries and 639 lipid/metabolite entries. Vesiclepedia is publicly available and allows users to query and download EV cargo based on different search criteria. The mode of EV isolation and characterization, the biophysical and molecular properties and EV-METRIC are listed in the database aiding biomedical scientists in assessing the quality of the EV preparation and the corresponding data obtained. In addition, FunRich-based Vesiclepedia plugin is incorporated aiding users in data analysis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
Vesiclepedia: A Compendium for Extracellular Vesicles with Continuous Community Annotation
Kalra, H., Simpson, R. J., Ji, H., Aikawa, E., Altevogt, P., Askenase, P., Bond, V. C., Borràs, F. E., Breakefield, X., Budnik, V., et al. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001450 · Cited by 1,367
Self-citationEV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research
EV-TRACK Consortium, Van Deun, J., Mestdagh, P., Agostinis, P., Akay, Ö., Anand, S., Anckaert, J., Martinez, Z. A., Baetens, T., Beghein, E., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4185 · Cited by 1,284
Self-citation
Cited by
The biology , function , and biomedical applications of exosomes
Kalluri, R., & LeBleu, V. S. (2020) · Science · doi:10.1126/science.aau6977 · Cited by 10,770
Kou, M., Huang, L., Yang, J., Chiang, Z., Chen, S., Liu, J., Guo, L., Zhang, X., Zhou, X., Xu, X., et al. (2022) · Cell Death & Disease · doi:10.1038/s41419-022-05034-x · Cited by 640
Ticket to a bubble ride: Cargo sorting into exosomes and extracellular vesicles
Anand, S., Samuel, M., Kumar, S., & Mathivanan, S. (2019) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2019.02.005 · Cited by 284
Alzheimer’s Risk Factors Age, APOE Genotype, and Sex Drive Distinct Molecular Pathways
Zhao, N., Ren, Y., Yamazaki, Y., Qiao, W., Li, F., Felton, L. M., Mahmoudiandehkordi, S., Kueider-Paisley, A., Sonoustoun, B., Arnold, M., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.02.034 · Cited by 225
Dorronsoro, A., Santiago, F. E., Grassi, D., Zhang, T., Lai, R. C., McGowan, S. J., Angelini, L., Lavasani, M., Corbo, L., Lu, A., et al. (2021) · Aging Cell · doi:10.1111/acel.13337 · Cited by 153
Serpente, M., Fenoglio, C., D’Anca, M., Arcaro, M., Sorrentino, F., Visconte, C., Arighi, A., Fumagalli, G. G., Porretti, L., Cattaneo, A., et al. (2020) · Cells · doi:10.3390/cells9061443 · Cited by 116
The Therapeutic Potential and Clinical Significance of Exosomes as Carriers of Drug Delivery System
Li, T., Li, X., Han, G., Liang, M., Yang, Z., Zhang, C., Huang, S., Tai, S., & Yu, S. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics15010021 · Cited by 110
Yang, L., Patel, K. D., Rathnam, C., Thangam, R., Hou, Y., Kang, H., & Lee, K. (2022) · Small · doi:10.1002/smll.202104783 · Cited by 81
Ponce-Lopez, T. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26094209 · Cited by 75
Altered Extracellular Vesicle miRNA Profile in Prodromal Alzheimer’s Disease
Visconte, C., Fenoglio, C., Serpente, M., Muti, P., Sacconi, A., Rigoni, M., Arighi, A., Borracci, V., Arcaro, M., Arosio, B., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914749 · Cited by 57
Davis, C., Savitz, S. I., & Satani, N. (2021) · Cells · doi:10.3390/cells10040767 · Cited by 51
Extracellular vesicle proteome unveils cathepsin B connection to Alzheimer’s disease pathogenesis
Yuyama, K., Sun, H., Fujii, R., Hemmi, I., Ueda, K., & Igeta, Y. (2024) · Brain · doi:10.1093/brain/awad361 · Cited by 47
An ontology-based knowledge graph for representing interactions involving RNA molecules
Cavalleri, E., Cabri, A., Soto-Gomez, M., Bonfitto, S., Perlasca, P., Gliozzo, J., Callahan, T. J., Reese, J., Robinson, P. N., Casiraghi, E., et al. (2024) · Scientific Data · doi:10.1038/s41597-024-03673-7 · Cited by 33
Recent Progress in Extracellular Vesicle-Based Carriers for Targeted Drug Delivery in Cancer Therapy
Tang, Y., Liu, X., Sun, M., Xiong, S., Xiao, N., Li, J., He, X., & Xie, J. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15071902 · Cited by 24
Liu, Y., Xia, Y., Smollar, J., Mao, W., & Wan, Y. (2021) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2021.188539 · Cited by 23
Therapeutic Strategies and Enhanced Production of Stem Cell-Derived Exosomes for Tissue Regeneration
Kim, H., Kim, D., Kim, W., Lee, S., Gwon, Y., Park, S., & Kim, J. (2023) · Tissue Engineering Part B: Reviews · doi:10.1089/ten.teb.2022.0118 · Cited by 17
Lachén-Montes, M., Mendizuri, N., Ausín, K., Pérez-Mediavilla, A., Azkargorta, M., Iloro, I., Elortza, F., Kondo, H., Ohigashi, I., Ferrer, I., et al. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00452 · Cited by 12
Su, G., Lei, X., Wang, Z., Xie, W., Wen, D., & Wu, Y. (2023) · Current Molecular Medicine · doi:10.2174/1566524022666220511123625 · Cited by 10
Extracellular Vesicles and Their Interplay with Biological Membranes
Yeo Xian Ping, J., Raj Neupane, Y., & Pastorin, G. (2022) · Physiology · doi:10.5772/intechopen.101297 · Cited by 9
Metadata
- Authors
- Pathan, M., Fonseka, P., Chitti, S. V., Kang, T., Sanwlani, R., Van Deun, J., Hendrix, A., & Mathivanan, S.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-11-05
- Volume
- 47
- Issue
- D1
- Pages
- D516-D519
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2900059354
- Cited by
- 767
- References
- 3
- FWCI
- 19.23
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
