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Extracellular RNA

Overview of attention for book
Extracellular RNA
Humana Press, New York, NY

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Extracellular RNAs: A New Awareness of Old Perspectives
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    Chapter 2 Overview of Protocols for Studying Extracellular RNA and Extracellular Vesicles
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    Chapter 3 Extracellular RNA Isolation from Cell Culture Supernatant
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    Chapter 4 Use of a Hollow Fiber Bioreactor to Collect Extracellular Vesicles from Cells in Culture
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    Chapter 5 Isolation of Extracellular RNA from Serum/Plasma
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    Chapter 6 Isolation of Extracellular RNA from Bile
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    Chapter 7 Cushioned–Density Gradient Ultracentrifugation (C-DGUC): A Refined and High Performance Method for the Isolation, Characterization, and Use of Exosomes
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    Chapter 8 Magnetic Particle-Based Immunoprecipitation of Nanoscale Extracellular Vesicles from Biofluids
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    Chapter 9 Enrichment of Extracellular Vesicle Subpopulations Via Affinity Chromatography
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    Chapter 10 Detection and Analysis of Non-vesicular Extracellular RNA
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    Chapter 11 Isolation of Plasma Lipoproteins as a Source of Extracellular RNA
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    Chapter 12 Droplet Digital PCR for Quantitation of Extracellular RNA
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    Chapter 13 Preparation of Small RNA NGS Libraries from Biofluids
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    Chapter 14 Multiplexed Detection and Quantitation of Extracellular Vesicle RNA Expression Using NanoString
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    Chapter 15 Milk-derived Extracellular Vesicles for Therapeutic Delivery of Small Interfering RNAs
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    Chapter 16 Loading of Extracellular Vesicles with Hydrophobically Modified siRNAs
Attention for Chapter 15: Milk-derived Extracellular Vesicles for Therapeutic Delivery of Small Interfering RNAs
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Chapter title
Milk-derived Extracellular Vesicles for Therapeutic Delivery of Small Interfering RNAs
Chapter number 15
Book title
Extracellular RNA
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7652-2_15
Pubmed ID
Book ISBNs
978-1-4939-7651-5, 978-1-4939-7652-2
Authors

Akiko Matsuda, Tushar Patel, Matsuda, Akiko, Patel, Tushar

Abstract

As endogenous biological nanoparticles capable of uptake by cells, extracellular vesicles (EVs) have the capacity to deliver their RNA cargo to recipient cells. The use of EVs as a drug delivery system remains in its infancy, and there are several barriers to the use of EV for this purpose. Amongst these is the need to ensure that adequate amounts of EV are available. The use of milk-derived EV provides a scalable approach and loading of these EVs with RNA is possible with the use of chemical transfection reagents. This method describes the use of milk-derived EV for delivery of small interfering RNA. These EVs were shown to be taken up by hepatocellular carcinoma cells in vitro, with a reduction in the expression of target gene.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 9%
Student > Bachelor 2 9%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Professor 1 5%
Other 3 14%
Unknown 12 55%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 18%
Unspecified 2 9%
Medicine and Dentistry 2 9%
Agricultural and Biological Sciences 1 5%
Chemical Engineering 1 5%
Other 0 0%
Unknown 12 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 November 2021.
All research outputs
#15,329,446
of 23,567,572 outputs
Outputs from Methods in molecular biology
#4,900
of 13,353 outputs
Outputs of similar age
#258,934
of 444,928 outputs
Outputs of similar age from Methods in molecular biology
#500
of 1,482 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,353 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 58% 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 444,928 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,482 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.