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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 4: MicroRNAs: Biomarkers, Diagnostics, and Therapeutics
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Chapter title
MicroRNAs: Biomarkers, Diagnostics, and Therapeutics
Chapter number 4
Book title
Bioinformatics in MicroRNA Research
Published in
Methods in molecular biology, May 2017
DOI 10.1007/978-1-4939-7046-9_4
Pubmed ID
Book ISBNs
978-1-4939-7044-5, 978-1-4939-7046-9
Authors

Weili Huang Ph.D., Weili Huang

Editors

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

Abstract

MicroRNAs (miRNAs) are small noncoding RNAs (21-23 nucleotides in length) that regulate gene expression at translational or posttranslational levels. The major regulatory mechanisms include translational repression or mRNA degradation (Filipowicz et al., Curr Opin Struct Biol 15:331-341, 2005).Aberrant expression of miRNAs has been found to be associated with a variety of human diseases such as cancers/tumors, diabetes, viral infections, cardiovascular diseases, neurodegenerative diseases, and other diseases (Wang et al., J Cell Physiol 23:25-30, 2016; Lawrie, MicroRNAs in medicine, 2013). The expression of miRNAs is tissue specific and can be used to identify tumor type and its origin (Mishra and Merlino, J Clin Invest 119:2119-2123, 2009). Many investigations suggest that the miRNA-expression profiles are novel diagnostic and prognostic biomarkers for multiple human diseases. Manipulating relevant miRNA expression or function may serve as potential therapeutic strategies for different diseases.

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Student > Bachelor 13 17%
Student > Master 13 17%
Researcher 8 10%
Student > Doctoral Student 5 6%
Other 5 6%
Unknown 18 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 30%
Medicine and Dentistry 9 12%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Veterinary Science and Veterinary Medicine 3 4%
Neuroscience 2 3%
Other 10 13%
Unknown 24 31%