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Circulating microRNAs in Disease Diagnostics and their Potential Biological Relevance

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Cover of 'Circulating microRNAs in Disease Diagnostics and their Potential Biological Relevance'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to microRNAs: Biogenesis, Action, Relevance of Tissue microRNAs in Disease Pathogenesis, Diagnosis and Therapy-The Concept of Circulating microRNAs.
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    Chapter 2 Extracellular microRNAs in Membrane Vesicles and Non-vesicular Carriers
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    Chapter 3 Technical Aspects Related to the Analysis of Circulating microRNAs.
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    Chapter 4 Circulating Blood-Borne microRNAs as Biomarkers in Solid Tumors.
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    Chapter 5 Circulating microRNA as Biomarkers in Hematological Malignancies.
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    Chapter 6 Circulating microRNAs as Biomarkers in Cardiovascular Diseases.
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    Chapter 7 Circulating microRNAs in Neurodegenerative Diseases.
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    Chapter 8 Circulating Extracellular microRNA in Systemic Autoimmunity.
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    Chapter 9 Circulating microRNAs in Inflammatory Bowel Diseases.
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    Chapter 10 Circulating microRNAs in Diabetes Progression: Discovery, Validation, and Research Translation.
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    Chapter 11 Diagnostic Relevance of microRNAs in Other Body Fluids Including Urine, Feces, and Saliva.
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    Chapter 12 Circulating microRNAs as Hormones: Intercellular and Inter-organ Conveyors of Epigenetic Information?
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    Chapter 13 Are Circulating microRNAs Involved in Tumor Surveillance?
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    Chapter 14 Hypothetic Interindividual and Interspecies Relevance of microRNAs Released in Body Fluids.
Attention for Chapter 12: Circulating microRNAs as Hormones: Intercellular and Inter-organ Conveyors of Epigenetic Information?
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Citations

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Chapter title
Circulating microRNAs as Hormones: Intercellular and Inter-organ Conveyors of Epigenetic Information?
Chapter number 12
Book title
Circulating microRNAs in Disease Diagnostics and their Potential Biological Relevance
Published in
EXS, January 2015
DOI 10.1007/978-3-0348-0955-9_12
Pubmed ID
26608208
Book ISBNs
978-3-03-480953-5, 978-3-03-480955-9
Authors

Yoshioka, Yusuke, Katsuda, Takeshi, Ochiya, Takahiro, Yusuke Yoshioka, Takeshi Katsuda, Takahiro Ochiya

Abstract

The discovery of microRNAs (miRNAs) has created a paradigm shift not only in the traditional central dogma of molecular biology but also in the research of a variety of human diseases. Fourteen years after the discovery of miRNAs, there was another revolutionary finding: cells can shuttle miRNAs between each other via small lipid bilayer vesicles called exosomes. This exosome-mediated horizontal transfer of genetically encoded messages is now recognized as a means of intercellular communication. This chapter reviews the concept that miRNAs can function as hormones conveying epigenetic information.

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Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 63%
Professor > Associate Professor 1 13%
Unspecified 1 13%
Student > Bachelor 1 13%
Researcher 1 13%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 50%
Medicine and Dentistry 3 38%
Biochemistry, Genetics and Molecular Biology 1 13%
Unspecified 1 13%

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 28 November 2015.
All research outputs
#4,894,315
of 6,615,543 outputs
Outputs from EXS
#40
of 58 outputs
Outputs of similar age
#170,902
of 251,173 outputs
Outputs of similar age from EXS
#4
of 5 outputs
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