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Extracellular RNA

Overview of attention for book
Cover of 'Extracellular RNA'

Table of Contents

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    Book Overview
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    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 11: Isolation of Plasma Lipoproteins as a Source of Extracellular RNA
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Chapter title
Isolation of Plasma Lipoproteins as a Source of Extracellular RNA
Chapter number 11
Book title
Extracellular RNA
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7652-2_11
Pubmed ID
Book ISBNs
978-1-4939-7651-5, 978-1-4939-7652-2
Authors

Kang Li, David K. Wong, Fu Sang Luk, Roy Y. Kim, Robert L. Raffai, Li, Kang, Wong, David K., Luk, Fu Sang, Kim, Roy Y., Raffai, Robert L.

Abstract

Plasma lipoproteins are essential vehicles of lipid distribution for cellular energy and structural requirements as well as for excretion of lipid excess. Imbalances in lipoprotein metabolism are known to contribute to metabolic diseases ranging from vascular inflammation and atherosclerosis to obesity and diabetes. The lipid and protein cargo carried by lipoprotein subclasses have long been the focus of studies exploring the contribution of plasma lipoproteins in health and in metabolic disorders. More recent studies have revealed the presence of noncoding RNA as a new form of cargo carried by plasma lipoproteins. Lipoprotein-associated microRNAs have been identified to distribute differentially among plasma lipoprotein subclasses and contribute to cellular signaling. These findings highlight plasma lipoprotein-associated RNA as a potential source of biological signaling and warrant a renewed interest in the study of plasma lipoprotein biology. This chapter describes principles and methods based on density ultracentrifugation and size exclusion chromatography for the isolation of plasma lipoproteins as a source of extracellular RNA.

X Demographics

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 6 12%
Student > Bachelor 5 10%
Student > Doctoral Student 3 6%
Student > Master 2 4%
Other 1 2%
Unknown 21 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 33%
Agricultural and Biological Sciences 4 8%
Immunology and Microbiology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Arts and Humanities 1 2%
Other 2 4%
Unknown 22 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 August 2019.
All research outputs
#15,121,381
of 23,262,131 outputs
Outputs from Methods in molecular biology
#4,814
of 13,319 outputs
Outputs of similar age
#257,091
of 443,615 outputs
Outputs of similar age from Methods in molecular biology
#509
of 1,501 outputs
Altmetric has tracked 23,262,131 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 13,319 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 59% 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 443,615 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,501 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.