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Extracellular RNA

Overview of attention for book
Cover of 'Extracellular RNA'

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 14: Multiplexed Detection and Quantitation of Extracellular Vesicle RNA Expression Using NanoString
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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
Multiplexed Detection and Quantitation of Extracellular Vesicle RNA Expression Using NanoString
Chapter number 14
Book title
Extracellular RNA
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7652-2_14
Pubmed ID
29388144
Book ISBNs
978-1-4939-7651-5, 978-1-4939-7652-2
Authors

Neha Shukla, Irene K. Yan, Tushar Patel, Shukla, Neha, Yan, Irene K., Patel, Tushar

Abstract

Several different types of RNA molecules such as microRNAs (miRNAs) have been detected within extracellular vesicles in the circulation. The detection and potential utility of these as disease biomarkers requires the ability to detect their presence with adequate sensitivity and to quantitate their expression. The potential for circulating miRNA to serve as biomarkers can be evaluated through their detection in association with specific disease states. Multiplexed detection of several miRNA simultaneously can be useful for discovery studies. We describe the analysis of miRNA from biological fluids like plasma and serum using the Nanostring nCounter platform. Assays can be used to quantitate the expression of miRNA using direct detection based on hybridization to target specific color-coded probes followed by counting each color-coded barcode digitally.

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X Demographics

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 30%
Student > Doctoral Student 1 10%
Professor 1 10%
Student > Ph. D. Student 1 10%
Professor > Associate Professor 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Medicine and Dentistry 3 30%
Biochemistry, Genetics and Molecular Biology 2 20%
Agricultural and Biological Sciences 1 10%
Engineering 1 10%
Unknown 3 30%
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 07 October 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.

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