Overview
Presents omics approaches for understanding the pathogenesis of pulmonary diseases
Reviews the applications of omics for the identification of biomarkers and drug targets
Provides insight into the role of the lung microbiome in pulmonary diseases
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Table of contents (15 chapters)
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Front Matter
Keywords
About this book
This book comprehensively reviews various omics approaches like genomics, proteomics, transcriptomics, and metabolomics for understanding pulmonary disease at molecular and systems levels. The initial chapters present the pathogenesis of major pulmonary diseases, namely, obstructive diseases, restrictive diseases, vascular diseases, infectious diseases, and neoplastic carcinoma. The book chapters provide current information about the role of the microbiome and applications of medical imaging, bioinformatics tools, and databases for diagnosis and designing treatment strategies against complex lung diseases. Further, the book discusses omics technologies to identify biomarkers for the early diagnosis and prognosis of pulmonary diseases. Finally, the book elucidates the multi-omics approaches and data integration using mathematical modeling for insights into the disease etiology towards improving the prognostics and predictive accuracy of disease phenotypes.
​Authors and Affiliations
About the authors
Dr. Sudipto Saha is an Associate Professor at the Division of Bioinformatics, Bose Institute, Kolkata, India. He joined Bose Institute as a DBT-Ramalingaswami fellow in 2012. He has earlier worked as a postdoctoral research fellow at Indiana University, School of Informatics, Indianapolis, USA (2007-2008) and at Case Western Reserve University, School of Medicine, Cleveland, USA (2008-20012). He did his Ph.D. (Bioinformatics) in 2007 from Jawaharlal Nehru University (work done at CSIR-Institute of Microbial Technology, Chandigarh). His research interests are in pulmonary diseases like asthma/COPD and tuberculosis, and has a specialization in bioinformatics and OMICS data analysis. He has more than 22 years of research experience in Immunoinformatics, Proteomics, Bioinformatics, and Machine Learning Techniques. He has published more than 85 research articles in peer-reviewed international journals and authored several book chapters.
Dr. Sreyashi Majumdar has obtained her Ph.D. degree from the University of Calcutta, Kolkata, India (2022). She pursued her PhD research at Bioinformatics Centre, Bose Institute, Kolkata, India under the guidance of Dr. Sudipto Saha. Her research interest encompasses the systemic discovery of asthma biomarkers for therapeutics. She has published several research articles in peer-reviewed international journals and has also authored a book chapter. She has several awards accredited to her.
Dr. Parthasarathi Bhattacharyya did his post-doctoral fellowship in pulmonary medicine from PGIMER, Chandigarh and presently working as the lead pulmonologist attached to the Institute of Pulmocare and Research, Kolkata, India. He has been engaged to serve the motto of the institute as research, education, and patient care for over two decades. He keeps a keen interest in research, teaching, and innovative work. He has published more than 75 research articles in peer-reviewed national and international journalsBibliographic Information
Book Title: Pulmonomics: Omics Approaches for Understanding Pulmonary Diseases
Authors: Sudipto Saha, Sreyashi Majumdar, Parthasarathi Bhattacharyya
DOI: https://doi.org/10.1007/978-981-99-3505-5
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-99-3504-8Published: 02 November 2023
Softcover ISBN: 978-981-99-3507-9Due: 16 November 2024
eBook ISBN: 978-981-99-3505-5Published: 01 November 2023
Edition Number: 1
Number of Pages: XIII, 405
Number of Illustrations: 1 b/w illustrations
Topics: Biomedicine, general, Genetics and Genomics, Bioinformatics