Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Nanomaterials are characterized by an extremely large surface-to-volume ratio. Extracellular Vesicles (EVs) - which have been recently recognized as the universal agent of intercellular communication, being involved in many physiological and pathological processes and interkingdom biochemical communication - are nanoparticles, but this key aspect has never been rationally addressed. Here we report the first attempt to quantify the membrane-to-lumen partition of proteins in EVs. A semi-quantitative model based on available well-established compositional and microstructural data is formulated. The model allows for the estimation of the overall protein content of an EV as well as of the partition between membrane (surface) associated and lumen (bulk) contained proteins as a function of the EV size and shape. It further identifies 180 nm as a switch diameter, below which EVs result composed of more membrane than luminal proteins. At larger diameters the partition is reversed, reaching predominance of luminal proteins (> 80 %) in large EVs (diameter > 800 nm). The model is successfully tested to analyze and describe a real preparation composed of subpopulations of small EVs (diameter < 200 nm), including exosomes and ectosomes, and large EVs including large oncosomes (diameter > 1000 nm) from human prostate cancer cells. These findings provide the basis for a better colloidal description of EV samples, might help to understand the stoichiometry of proteins in distinct EV sub-populations, and will improve the design and interpretation of experiments, including EV engineering and dosing in-vitro and in-vivo.
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Source |
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http://dx.doi.org/10.1016/j.colsurfb.2022.112728 | DOI Listing |
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