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Cell-Secreted Vesicles

Overview of attention for book
Cell-Secreted Vesicles
Springer US

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Plasmon-Enhanced Characterization of Single Extracellular Vesicles
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    Chapter 2 Detection of Cell-Derived Exosomes Via Surface-Enhanced Raman Scattering Using Aggregated Silver Nanoparticles
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    Chapter 3 In Vivo Analysis of Heterogeneous Extracellular Vesicles Using a Red-Shifted Bioluminescence Resonance Energy Transfer Reporter Protein
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    Chapter 4 Characterization of Extracellular Vesicles by Transmission Electron Microscopy and Immunolabeling Electron Microscopy
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    Chapter 5 Extracellular Vesicle Isolation by a Tangential-Flow Filtration-Based Large-Scale Purification Method
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    Chapter 6 Metabolomics Analysis of Urinary Extracellular Vesicles by Nuclear Magnetic Resonance and Liquid Chromatography–Mass Spectrometry
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    Chapter 7 Methodologies for Scalable Production of High-Quality Purified Small Extracellular Vesicles from Conditioned Medium.
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    Chapter 8 Automated On-Line Isolation and Fractionation Method for Subpopulations of Extracellular Vesicles
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    Chapter 9 A Novel Assay for Investigating the Role of Exosomes in Tumor Cell-Endothelial Cell Crosstalk
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    Chapter 10 Nanoparticle (NP) Loading by Direct Incubation with Extracellular Vesicles-Secretor Cells: NP Encapsulation and Exosome Characterization
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    Chapter 11 Two Complementary Strategies to Quantitate Extracellular Vesicle Uptake Using Bioluminescence and Non-Lipidic Dyes
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    Chapter 12 Integrin-Mediated Exosomal Homing to Organs.
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    Chapter 13 Methods and Protocols for Using Extracellular Vesicles as Delivery Vehicles in Neuronal Research
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    Chapter 14 Quantitative Analysis of Extracellular Vesicle Release Using Artificial MicroRNAs
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    Chapter 15 Purification of Bacterial-Enriched Extracellular Vesicle Samples from Feces by Density Gradient Ultracentrifugation.
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    Chapter 16 Isolation and Characterization of Extracellular Vesicles from Lymphocytes.
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    Chapter 17 Biogenesis of Mesoporous Silica Nanoparticles Enclosed in Extracellular Vesicles by Mouse Renal Adenocarcinoma Cells
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    Chapter 18 Magnetic Separation of Cell-Secreted Vesicles with Tailored Magnetic Particles and Downstream Applications
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    Chapter 19 Cilia-Derived Extracellular Vesicles in Caenorhabditis Elegans: In Vivo Imaging and Quantification of Extracellular Vesicle Release and Capture.
  21. Altmetric Badge
    Chapter 20 Exosome-Based COVID-19 Vaccine.
Attention for Chapter 15: Purification of Bacterial-Enriched Extracellular Vesicle Samples from Feces by Density Gradient Ultracentrifugation.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Chapter title
Purification of Bacterial-Enriched Extracellular Vesicle Samples from Feces by Density Gradient Ultracentrifugation.
Chapter number 15
Book title
Cell-Secreted Vesicles
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-3203-1_15
Pubmed ID
Book ISBNs
978-1-07-163202-4, 978-1-07-163203-1
Authors

Byts, Nadiya, Makieieva, Olha, Zhyvolozhnyi, Artem, Bart, Genevieve, Korvala, Johanna, Hekkala, Jenni, Salmi, Sonja, Samoylenko, Anatoliy, Reunanen, Justus

Abstract

Commensal microbiota has huge impact on the maintenance of human health, its dysregulation being associated with the development of a plethora of diseases. Release of bacterial extracellular vesicles (BEVs) is a fundamental mechanism of systemic microbiome influence on the host organism. Nevertheless, due to the technical challenges of isolation methods, BEV composition and functions remain poorly characterized. Hereby, we describe the up-to-date protocol for isolation of BEV-enriched samples from human feces. Fecal extracellular vesicles (EVs) are purified through the orthogonal implementation of filtration, size-exclusion chromatography (SEC), and density gradient ultracentrifugation. EVs are first separated from bacteria, flagella, and cell debris by size. In the next steps, BEVs are separated from host-derived EVs by density. The quality of vesicle preparation is estimated via immuno-TEM (transmission electron microscopy) for the presence of vesicle-like structures expressing EV markers and via NTA (nanoparticle tracking analysis) for assaying particle concentration and size. Distribution of EVs of human origin in gradient fractions is estimated using antibodies against human exosomal markers with Western blot and ExoView R100 imaging platform. The enrichment for BEVs in vesicle preparation is estimated by Western blot for the presence of bacterial OMVs (outer membrane vesicles) marker and OmpA (outer membrane protein A). Taken together, our study describes a detailed protocol for EV preparation with enrichment for BEVs from feces with a purity level suitable for bioactivity functional assays.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Researcher 1 7%
Student > Doctoral Student 1 7%
Unknown 10 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 13%
Immunology and Microbiology 2 13%
Unknown 11 73%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 May 2023.
All research outputs
#13,731,677
of 23,671,454 outputs
Outputs from Methods in molecular biology
#3,644
of 13,345 outputs
Outputs of similar age
#167,252
of 442,855 outputs
Outputs of similar age from Methods in molecular biology
#79
of 521 outputs
Altmetric has tracked 23,671,454 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,345 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,855 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 521 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.