2012
DOI: 10.1021/pr200842h
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The Protein Interaction Network of Extracellular Vesicles Derived from Human Colorectal Cancer Cells

Abstract: Various mammalian cells including tumor cells secrete extracellular vesicles (EVs), otherwise known as exosomes and microvesicles. EVs are nanosized bilayered proteolipids and play multiple roles in intercellular communication. Although many vesicular proteins have been identified, their functional interrelationships and the mechanisms of EV biogenesis remain unknown. By interrogating proteomic data using systems approaches, we have created a protein interaction network of human colorectal cancer cell-derived … Show more

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Cited by 72 publications
(94 citation statements)
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“…For example, cytokines, proteins, and specially (oncogenic) DNAs identified in the TDMVs [17,86,87] may play their own parts; that is actually, a complex signature (not only the RNA profiles) might be on the playground. Interestingly, an intelligent program (ExoCarta: www.exocarta.org) has recently been developed for construction of a compendium of the proteins and RNA molecules identified in the exosomes [88].…”
Section: Discussionmentioning
confidence: 99%
“…For example, cytokines, proteins, and specially (oncogenic) DNAs identified in the TDMVs [17,86,87] may play their own parts; that is actually, a complex signature (not only the RNA profiles) might be on the playground. Interestingly, an intelligent program (ExoCarta: www.exocarta.org) has recently been developed for construction of a compendium of the proteins and RNA molecules identified in the exosomes [88].…”
Section: Discussionmentioning
confidence: 99%
“…Various cell types secrete exosomes, which are enriched with the markers CD63 and ALG‐2‐interacting protein X (ALIX)(Choi et al., 2012). These organelles are formed solely within the endosomal network and released following fusion of multivesicular bodies with the plasma membrane (Yanez‐Mo et al., 2015).…”
Section: Introductionmentioning
confidence: 99%
“…All the scatter plots and their correlations were visualized and calculated by MATLAB. For a uniform cut-off, the distribution of gene expression in the transcriptomic data was modeled into a 2-component Gaussian mixture distribution 61,62 using gmdistribution function of MATLAB. Among two Gaussian density functions, one with lower mean intensity was annotated as "absent" peak, and the other as "present" peak.…”
Section: Bioinformaticsmentioning
confidence: 99%