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  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Doi.org Make Money
  6. Keywords
  7. Topics
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We began analyzing https://link.springer.com/article/10.1007/s10616-015-9913-6, but it redirected us to https://link.springer.com/article/10.1007/s10616-015-9913-6. The analysis below is for the second page.

Title[redir]:
Systematic review of factors influencing extracellular vesicle yield from cell cultures | Cytotechnology
Description:
The potential therapeutic utility of extracellular vesicles (EVs) has spawned an interest into a scalable production, where the quantity and purity of EV samples is sufficient for clinical applications. EVs can be isolated using several different protocols; however, these isolation protocols and the subsequent methods of quantifying the resulting EV yield have not been sufficiently standardized. Therefore, the possibility of comparing different studies with respect to these parameters is limited. In this review, we have presented factors that might influence the yield and function of EVs from cell culture supernatants. The methods of isolation, downstream quantification, and culture conditions of the EV producing cells have been discussed. In order to examine the inter-study coherency of EV yields, 259 studies were initially screened, and 46 studies were included for extensive downstream analysis of EV yields where information pertaining to the isolation protocols and quantification methods was obtained from each study. Several other factors influencing yield were compared, such as cell type producing EVs, cell confluence level, and cell stimulation. In conclusion, various factors may impact the resulting EV yield, including technical aspects such as EV isolation and quantification procedures, and biological aspects such as cell type and culture conditions. The reflections presented in this review might aid in future standardization of the workflow in EV research.

Matching Content Categories {๐Ÿ“š}

  • Education
  • Science
  • Telecommunications

Content Management System {๐Ÿ“}

What CMS is doi.org built with?

Custom-built

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Traffic Estimate {๐Ÿ“ˆ}

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๐ŸŒ  Phenomenal Traffic: 5M - 10M visitors per month


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Keywords {๐Ÿ”}

google, scholar, article, cas, vesicles, cell, extracellular, exosomes, cells, isolation, cancer, extracell, protein, analysis, methods, biol, doi, vesicle, yield, quantification, nanoparticle, tracking, human, exosome, content, culture, serum, van, doijevv, biochem, factors, acid, dois, cellderived, characterization, mol, privacy, cookies, research, review, access, chapter, functional, bicinchoninic, tunable, resistive, pulse, sensing, microvesicles, anal,

Topics {โœ’๏ธ}

month download article/chapter adipose-derived stem cells serum-free culture alters flow cytometry human esc-derived mscs nk-mediated antitumour immunity endothelial cell-derived exosomes dendritic cell-derived exosomes cell-derived exosomal proteins mesenchymal stem cell size-exclusion liquid chromatography neuroblastoma-derived extracellular vesicles van der pol extracellular vesicle research dynamic light-scattering data resistive pulse sensing mediate hypoxia-dependent activation breast cancer cells article cytotechnology aims cellโ€“cell communication cell-derived microparticles cell culture supernatants extracellular vesicle sizing full article pdf pancreatic cancer cells cell confluence level support cell growth human glioma cell privacy choices/manage cookies key metastatic factors exosome-mediated transfer ev producing cells factors influencing yield related subjects size-exclusion chromatography physiol cell physiol kasper bendix johnsen dynamic light scattering fetal bovine serum extracellular vesicles derived resulting ev yield meg duroux cell stimulation tumor-derived exosomes fetal calf serum targeted cancer therapy ev preparations based proteinโ€“dye binding nanoparticle tracking analysis bmc cancer 12

Questions {โ“}

  • Webber J, Clayton A (2013) How pure are your vesicles?

Schema {๐Ÿ—บ๏ธ}

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         headline:Systematic review of factors influencing extracellular vesicle yield from cell cultures
         description:The potential therapeutic utility of extracellular vesicles (EVs) has spawned an interest into a scalable production, where the quantity and purity of EV samples is sufficient for clinical applications. EVs can be isolated using several different protocols; however, these isolation protocols and the subsequent methods of quantifying the resulting EV yield have not been sufficiently standardized. Therefore, the possibility of comparing different studies with respect to these parameters is limited. In this review, we have presented factors that might influence the yield and function of EVs from cell culture supernatants. The methods of isolation, downstream quantification, and culture conditions of the EV producing cells have been discussed. In order to examine the inter-study coherency of EV yields, 259 studies were initially screened, and 46 studies were included for extensive downstream analysis of EV yields where information pertaining to the isolation protocols and quantification methods was obtained from each study. Several other factors influencing yield were compared, such as cell type producing EVs, cell confluence level, and cell stimulation. In conclusion, various factors may impact the resulting EV yield, including technical aspects such as EV isolation and quantification procedures, and biological aspects such as cell type and culture conditions. The reflections presented in this review might aid in future standardization of the workflow in EV research.
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      headline:Systematic review of factors influencing extracellular vesicle yield from cell cultures
      description:The potential therapeutic utility of extracellular vesicles (EVs) has spawned an interest into a scalable production, where the quantity and purity of EV samples is sufficient for clinical applications. EVs can be isolated using several different protocols; however, these isolation protocols and the subsequent methods of quantifying the resulting EV yield have not been sufficiently standardized. Therefore, the possibility of comparing different studies with respect to these parameters is limited. In this review, we have presented factors that might influence the yield and function of EVs from cell culture supernatants. The methods of isolation, downstream quantification, and culture conditions of the EV producing cells have been discussed. In order to examine the inter-study coherency of EV yields, 259 studies were initially screened, and 46 studies were included for extensive downstream analysis of EV yields where information pertaining to the isolation protocols and quantification methods was obtained from each study. Several other factors influencing yield were compared, such as cell type producing EVs, cell confluence level, and cell stimulation. In conclusion, various factors may impact the resulting EV yield, including technical aspects such as EV isolation and quantification procedures, and biological aspects such as cell type and culture conditions. The reflections presented in this review might aid in future standardization of the workflow in EV research.
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