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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 13: Preparation of Small RNA NGS Libraries from Biofluids
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Chapter title
Preparation of Small RNA NGS Libraries from Biofluids
Chapter number 13
Book title
Extracellular RNA
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7652-2_13
Pubmed ID
29388143
Book ISBNs
978-1-4939-7651-5, 978-1-4939-7652-2
Authors

Alton Etheridge, Kai Wang, David Baxter, David Galas

Abstract

Next generation sequencing (NGS) is a powerful method for transcriptome analysis. Unlike other gene expression profiling methods, such as microarrays, NGS provides additional information such as splicing variants, sequence polymorphisms, and novel transcripts. For this reason, NGS is well suited for comprehensive profiling of the wide range of extracellular RNAs (exRNAs) in biofluids. ExRNAs are of great interest because of their possible biological role in cell-to-cell communication and for their potential use as biomarkers or for therapeutic purposes. Here, we describe a modified protocol for preparation of small RNA libraries for NGS analysis. This protocol has been optimized for use with low-input exRNA-containing samples, such as plasma or serum, and has modifications designed to reduce the sequence-specific bias typically encountered with commercial small RNA library construction kits.

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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.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Student > Ph. D. Student 3 25%
Researcher 2 17%
Other 1 8%
Professor 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 33%
Agricultural and Biological Sciences 3 25%
Chemical Engineering 1 8%
Medicine and Dentistry 1 8%
Chemistry 1 8%
Other 1 8%
Unknown 1 8%
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 02 February 2018.
All research outputs
#15,490,822
of 23,020,670 outputs
Outputs from Methods in molecular biology
#5,388
of 13,166 outputs
Outputs of similar age
#269,787
of 442,354 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,166 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 442,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.

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