scholarly journals Characterization of Extracellular Vesicles Isolated From Human Milk Using a Precipitation-Based Method

2020 ◽  
Vol 7 ◽  
Author(s):  
Diana C. Bickmore ◽  
John J. Miklavcic
Keyword(s):  
Human Milk ◽  
Extracellular Vesicles

scholarly journals 109 Isolation and characterization of myometrium and decidual cell-derived extracellular vesicles

2021 ◽  
Vol 224 (2) ◽  
pp. S75-S76
Author(s):  
Megan Shepherd ◽  
Enkhtuya Radnaa ◽  
Rheanna Urrabaz-Garza ◽  
Talar Kechichian ◽  
Ourlad Alzeus G. Tantengco ◽  
...  
Keyword(s):  
Extracellular Vesicles ◽  
Decidual Cell ◽  
Isolation And Characterization

Proteomic Characterization of Human Milk Whey Proteins during a Twelve-Month Lactation Period

2011 ◽  
Vol 10 (4) ◽  
pp. 1746-1754 ◽  
Author(s):  
Yalin Liao ◽  
Rudy Alvarado ◽  
Brett Phinney ◽  
Bo Lönnerdal
Keyword(s):  
Human Milk ◽  
Whey Proteins ◽  
Lactation Period ◽  
Milk Whey

scholarly journals Emerging techniques in the isolation and characterization of extracellular vesicles and their roles in cancer diagnostics and prognostics

The Analyst ◽  
2016 ◽  
Vol 141 (2) ◽  
pp. 371-381 ◽  
Author(s):  
Vijaya Sunkara ◽  
Hyun-Kyung Woo ◽  
Yoon-Kyoung Cho
Keyword(s):  
Extracellular Vesicles ◽  
Cancer Diagnostics ◽  
Clinical Implementation ◽  
Characterization Methods ◽  
Cancer Management ◽  
Isolation And Characterization

We present an overview of current isolation, detection, and characterization methods of extracellular vesicles and their applications and limitations as a potential emerging biomarker in cancer management and their clinical implementation.

Characterization of Immunocompetent Cells in Human Milk of Han Chinese

2011 ◽  
Vol 27 (2) ◽  
pp. 155-162 ◽  
Author(s):  
Ying-Ying Jin ◽  
Wei Zhao ◽  
Rui-Ming Cao ◽  
Xi Wang ◽  
Sheng-Mei Wu ◽  
...  
Keyword(s):  
Human Milk ◽  
Han Chinese ◽  
Immunocompetent Cells

Isolation and Characterization of Extracellular Vesicles in Stem Cell-Related Studies

2017 ◽  
pp. 205-223
Author(s):  
Zezhou Zhao ◽  
Dillon C. Muth ◽  
Vasiliki Mahairaki ◽  
Linzhao Cheng ◽  
Kenneth W. Witwer
Keyword(s):  
Stem Cell ◽  
Extracellular Vesicles ◽  
Isolation And Characterization

Isolation and characterization of human milk lysozyme

1969 ◽  
Vol 130 ◽  
pp. 59-65 ◽  
Author(s):  
R.M. Parry ◽  
R.C. Chandan ◽  
K.M. Shahani
Keyword(s):  
Human Milk ◽  
Isolation And Characterization

scholarly journals Label-Free Prostate Cancer Detection by Characterization of Extracellular Vesicles Using Raman Spectroscopy

2018 ◽  
Vol 90 (19) ◽  
pp. 11290-11296 ◽  
Author(s):  
Wooje Lee ◽  
Afroditi Nanou ◽  
Linda Rikkert ◽  
Frank A. W. Coumans ◽  
Cees Otto ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Raman Spectroscopy ◽  
Extracellular Vesicles ◽  
Cancer Detection ◽  
Label Free ◽  
Prostate Cancer Detection

The more the better – determining the optimal range when performing single-vesicle phenotyping

2021 ◽  
Vol 1 (1) ◽  
pp. 26-33
Author(s):  
María Gómez-Serrano ◽  
Christian Preußer ◽  
Kathrin Stelter ◽  
Elke Pogge von Strandmann
Keyword(s):  
Extracellular Vesicles ◽  
Particle Number ◽  
Experiment Design ◽  
Surface Markers ◽  
Optimal Range ◽  
Design And Optimization ◽  
Highly Sensitive ◽  
Single Vesicle

The characterization of extracellular vesicles (EVs) has evolved rapidly in recent years due to advances in straightforward technologies. Based on these more sensitive methods, it is now possible to describe EV populations in their entirety more precisely. However, these applications require an equivalently delicate experiment design and optimization steps to draw valid conclusions in the end. One of these methods is represented by the highly sensitive nanoflow cytometry (nFCM), by which particles can be analyzed not only on their size (< 40 nm) and concentration but also concerning surface markers. In this work, we addressed some of the potential caveats of this method, especially when characterizing particles with fluorescently labelled antibodies. In particular, we show, when using low particle concentrations, which are inevitably encountered when working with EVs, the characterization of surface markers is prone to significantly varying. We hypothesized that these technical limitations could respond to the stickiness of EVs and should be properly counteracted. As a reference, we strongly recommend performing particle number-based comparisons with at least 109 particles as staining input in nFCM analyses. Moreover, we provided representative particle-number based immunoblotting results, underlying the significance of this parameter as a normalizer in future EV research.

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