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Bioinformatics in MicroRNA Research

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Cover of 'Bioinformatics in MicroRNA Research'

Table of Contents

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    Book Overview
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    Chapter 1 MicroRNAs, Long Noncoding RNAs, and Their Functions in Human Disease
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    Chapter 2 MicroRNA Expression: Protein Participants in MicroRNA Regulation
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    Chapter 3 Viral MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like RNAs
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    Chapter 4 MicroRNAs: Biomarkers, Diagnostics, and Therapeutics
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    Chapter 5 Relational Databases and Biomedical Big Data
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    Chapter 6 Semantic Technologies and Bio-Ontologies
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    Chapter 7 Genome-Wide Analysis of MicroRNA-Regulated Transcripts
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    Chapter 8 Computational Prediction of MicroRNA Target Genes, Target Prediction Databases, and Web Resources
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    Chapter 9 Exploring MicroRNA::Target Regulatory Interactions by Computing Technologies
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    Chapter 10 The Limitations of Existing Approaches in Improving MicroRNA Target Prediction Accuracy.
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    Chapter 11 Genomic Regulation of MicroRNA Expression in Disease Development
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    Chapter 12 Next-Generation Sequencing for MicroRNA Expression Profile
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    Chapter 13 Handling High-Dimension (High-Feature) MicroRNA Data.
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    Chapter 14 Effective Removal of Noisy Data Via Batch Effect Processing
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    Chapter 15 Logical Reasoning (Inferencing) on MicroRNA Data
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    Chapter 16 Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions
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    Chapter 17 Involvement of MicroRNAs in Diabetes and Its Complications
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    Chapter 18 MicroRNA Regulatory Networks as Biomarkers in Obesity: The Emerging Role.
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    Chapter 19 Expression of MicroRNAs in Thyroid Carcinoma.
Attention for Chapter 18: MicroRNA Regulatory Networks as Biomarkers in Obesity: The Emerging Role.
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Chapter title
MicroRNA Regulatory Networks as Biomarkers in Obesity: The Emerging Role.
Chapter number 18
Book title
Bioinformatics in MicroRNA Research
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7046-9_18
Pubmed ID
Book ISBNs
978-1-4939-7044-5, 978-1-4939-7046-9
Authors

Lihua Zhang, Daniel Miller, Qiuping Yang, Bin Wu M.D., Ph.D., Bin Wu

Editors

Jingshan Huang, Glen M. Borchert, Dejing Dou, Jun (Luke) Huan, Wenjun Lan, Ming Tan, Bin Wu

Abstract

Even though it is a pandemic health problem worldwide, the pathogenesis of obesity is poorly understood. Recently, emerging studies verified that microRNAs (miRNAs) are involved in complicated metabolic processes including adipocyte differentiation, fat cell formation (adipogenesis), obesity-related insulin resistance and inflammation. Many regulatory networks have been identified in murine adipose tissue, but those in human adipose tissue are not as well known. In addition, miRNAs have been detected in circulation, and thus may be usable as diagnostic indicators. MiRNAs may play an important part in regulating metabolic functions in adipose tissues and, by extension, obesity and its associated disorders. Consequently, they may be potential candidates for therapeutic targets and biomarkers.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Researcher 2 18%
Student > Master 1 9%
Student > Ph. D. Student 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Biochemistry, Genetics and Molecular Biology 3 27%
Agricultural and Biological Sciences 1 9%
Chemical Engineering 1 9%
Unknown 3 27%