Proteomeic profile of evs

<p>Since <a class="wikilink" href="/it_is_challenging_to_distinguish_hiv_viruses_from_evs/">it is challenging to distinguish HIV viruses from EVs</a> simply by using biomarkers or physical properties (see: <a class="wikilink" href="/hiv-1_contains_cd9_and_cd63/">HIV-1 contains CD9 and CD63</a>), an alternative approach is to study the proteomic profile of the particles[<a class="litnote tooltip" href="/literature/@martinjaular2021">@martinjaular2021<span class="tooltiptext">Unbiased proteomic profiling of host cell extracellular vesicle composition and dynamics upon HIV-1 infection</span></a>] that can be harvested from cell cultured medium. </p> <p>It is important to note several things, first that <a class="wikilink" href="/tetraspanins_are_unevenly_distributed_across_extracellular_vesicles/">Tetraspanins are unevenly distributed across extracellular vesicles</a>, therefore they can't be used as a single indicator (regardless of the method). Moreover, <a class="wikilink" href="/the_abundance_of_tetraspanins_in_evs_can_be_linked_to_the_sample_preparation_protocol/">the abundance of tetraspanins in EVs can be linked to the sample preparation protocol</a>, but this is not discussed in depth. </p> <p>Therefore, a better approach is to study cross-correlations between the presence of proteins, which would indicate some affinity between them. </p> <p><img alt="Cross correlation of the presence of proteins in EVs" src="/images/cross_correlation_proteins_evs.png" /></p> <p>The figure above shows a network plot of the likelihood of finding other proteins given a protein of interest, in this particular case, <a class="wikilink" href="/cd81/">CD81</a> and <a class="wikilink" href="/cd63/">CD63</a>. This is particularly interesting since it can be used to determine the probability of finding two proteins given some initial conditions. </p> <p>Besides the application to study <a class="wikilink" href="/hiv/">HIV</a> shown in [<a class="litnote tooltip" href="/literature/@martinjaular2021">@martinjaular2021<span class="tooltiptext">Unbiased proteomic profiling of host cell extracellular vesicle composition and dynamics upon HIV-1 infection</span></a>], this kind of databases can be incredibly useful, and it is available <a href="https://evprofiler.bornerlab.org">online</a>.</p>