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Genomic Approach to Asthma

  • Book
  • © 2018

Overview

Editors:
  1. Xiangdong Wang

    1. Zhongshan Hospital Institute of Clinical Science, Shanghai Medical School Fudan University, Shanghai, China

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  2. Zhihong Chen

    1. Shanghai Respiratory Research Institute, Respiratory Division of Zhongshan Hospital, Fudan University, Shanghai, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Provides a current overview of genomic approaches to asthma
  • Elucidates how progress in “-omics” research applied in asthma
  • Covers systems biology knowledge and the methodologies

Part of the book series: Translational Bioinformatics (TRBIO, volume 12)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Omics Approaches: A Useful Tool in Asthma Precision Medicine

    • Zhihong Chen, Xiangdong Wang
    Pages 1-9

  3. The Next Generation Sequencing (NGS) of Asthma Genetics

    • Li Li
    Pages 11-30

  4. Genome Wide Association Studies (GWAS) and Their Clinical Applications in Asthma

    • Xiaojing Liu, Yi Jia
    Pages 31-44

  5. Transcriptome Measurement of Asthma

    • Zhihong Chen
    Pages 45-67

  6. Epigenetics and Epigenomic Studies in Asthma

    • Hong Ji
    Pages 69-101

  7. Protein and Post Translational Modification in Asthma

    • Akram Safaei, Afsaneh Arefi Oskouie
    Pages 103-121

  8. Metabolomics as a Novel Diagnostic Approach for Asthma

    • B. Fatemeh Nobakht, Afsaneh Arefi Oskouie
    Pages 123-153

  9. Understanding and Diagnosing Asthma and COPD by Metabolomics

    • Wanxing Eugene Ho, W. S. Fred Wong
    Pages 155-177

  10. MicroRNA and Its Application in Asthma Studies

    • Fang Chen, Yan-Jing Qian, Jia-Ying Zhang, Fang Wang, Ting-Ting Xia
    Pages 179-200

  11. Pharmacogenetic Study in Asthma

    • Quan-Jun Yang, Cheng Guo
    Pages 201-219

  12. Crosstalk Between Alveolar Epithelial Cells and Macrophages in Asthma

    • Zhilong Jiang
    Pages 221-242

  13. HAT-HDAC System in Asthma

    • Xiaoru Sun, Zhihong Chen, Xiangdong Wang
    Pages 243-275

  14. Data Science for Asthma Study

    • Xian Yang, Yike Guo
    Pages 277-301

  15. Biological Databases

    • Reyhaneh Farrokhi Yekta, Afsaneh Arefi Oskouie
    Pages 303-337

  16. Biostatistics, Data Mining and Computational Modeling

    • Jie Zhang
    Pages 339-347

  17. Application of Bioinformatics to Asthma

    • Aiping Lu (Lyu), Dan Li, Yan Liu, Haiyun Wang
    Pages 349-359

  18. Asthma Precision

    • Fang Chen, Jia-Ying Zhang, Hong-Kuan Yang, Fang Wang
    Pages 361-385
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Keywords

About this book

This volume in the series, Translational Bioinformatics, provides an up-to-date overview of genomic approaches to asthma. By applying unbiased “-omics” combined with disease-focused and hypothesis-driven approaches, it enhances readers’ understanding of the asthma endotype.


Furthermore, it elucidates how progress in -omics research, such as “genomic,” “transcriptomic,” “protomic,” and “metabolomic,” is applied in asthma, and reports on the related series of important breakthroughs in asthma development, classification, prevention and drug sensitivity. Also covering systems biology knowledge and methodologies, computational models and biostatistical methods to analyze big data, this book provides a valuable resource for scientists and researchers in the field of asthma and respiratory diseases.

Editors and Affiliations

  • Zhongshan Hospital Institute of Clinical Science, Shanghai Medical School Fudan University, Shanghai, China

    Xiangdong Wang

  • Shanghai Respiratory Research Institute, Respiratory Division of Zhongshan Hospital, Fudan University, Shanghai, China

    Zhihong Chen

About the editors

Dr. Xiangdong Wang is Distinguished Professor at Zhongshan Hospital Fudan University; 

Dr. Zhihong Chen is Associate Director of Chronic Airway Diseases, Respiratory Division, Zhongshan Hospital, Fudan University.

Bibliographic Information

  • Book Title: Genomic Approach to Asthma

  • Editors: Xiangdong Wang, Zhihong Chen

  • Series Title: Translational Bioinformatics

  • DOI: https://doi.org/10.1007/978-981-10-8764-6

  • Publisher: Springer Singapore

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2018

  • Hardcover ISBN: 978-981-10-8763-9Published: 22 June 2018

  • Softcover ISBN: 978-981-13-4233-2Published: 03 January 2019

  • eBook ISBN: 978-981-10-8764-6Published: 12 June 2018

  • Series ISSN: 2213-2775

  • Series E-ISSN: 2213-2783

  • Edition Number: 1

  • Number of Pages: XVI, 385

  • Number of Illustrations: 27 b/w illustrations, 49 illustrations in colour

  • Topics: Bioinformatics, Human Physiology

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