Vesiclepedia 2019: a compendium of RNA, proteins, lipids and metabolites in extracellular vesicles.
Vesiclepedia 2019: a compendium of RNA, proteins, lipids and metabolites in extracellular vesicles.
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DOI：
10.1093/nar/gky1029
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发表时间：
2019-01-08
影响因子：
14.9
通讯作者：
Mathivanan S
中科院分区：
文献类型：
--
作者：
Pathan M;Fonseka P;Chitti SV;Kang T;Sanwlani R;Van Deun J;Hendrix A;Mathivanan S
细胞外小泡是由原核和真核细胞释放到细胞外微环境中的膜性小泡。根据EV的生物发生方式，EV可分为外体、外体或脱落的微泡和凋亡体。EVS含有具有生物活性的核酸、蛋白质、脂质和代谢物，可以根据细胞的精确状态进行改变。Vesiclepedia(http://www.microvesicles.org)是从已发表和未发表的研究中确定的电动汽车中的核糖核酸、蛋白质、脂质和代谢物的网络概要。目前，Vesiclepedia包含从1254个EV研究、38 146个RNA条目、349 988个蛋白质条目和639个脂质/代谢物条目获得的数据。Vesiclepedia是公开提供的，允许用户根据不同的搜索条件查询和下载电动汽车货物。数据库中列出了EV的分离和表征方式、生物物理和分子特性以及EV度量，以帮助生物医学科学家评估EV制备的质量和获得的相应数据。此外，还加入了基于FunRich的Vesiclepedia插件，帮助用户进行数据分析。
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is a web-based compendium of RNA, proteins, lipids and metabolites that are identified in EVs from both published and unpublished studies.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.
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影响因子：
14.9
作者：
Maglott, Donna;Ostell, Jim;Pruitt, Kim D;Tatusova, Tatiana
通讯作者：
Tatusova, Tatiana
影响因子：
16
作者：
Pathan M;Keerthikumar S;Chisanga D;Alessandro R;Ang CS;Askenase P;Batagov AO;Benito-Martin A;Camussi G;Clayton A;Collino F;Di Vizio D;Falcon-Perez JM;Fonseca P;Fonseka P;Fontana S;Gho YS;Hendrix A;Hoen EN;Iraci N;Kastaniegaard K;Kislinger T;Kowal J;Kurochkin IV;Leonardi T;Liang Y;Llorente A;Lunavat TR;Maji S;Monteleone F;Øverbye A;Panaretakis T;Patel T;Peinado H;Pluchino S;Principe S;Ronquist G;Royo F;Sahoo S;Spinelli C;Stensballe A;Théry C;van Herwijnen MJC;Wauben M;Welton JL;Zhao K;Mathivanan S
通讯作者：
Mathivanan S
影响因子：
5.6
作者：
Kalra H;Drummen GP;Mathivanan S
通讯作者：
Mathivanan S
影响因子：
21.3
作者：
Al-Nedawi, Khalid;Meehan, Brian;Rak, Janusz
通讯作者：
Rak, Janusz
影响因子：
5.6
作者：
Keerthikumar S;Chisanga D;Ariyaratne D;Al Saffar H;Anand S;Zhao K;Samuel M;Pathan M;Jois M;Chilamkurti N;Gangoda L;Mathivanan S
通讯作者：
Mathivanan S