Pulmonomics: Omics Approaches for Understanding Pulmonary Diseases

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.

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

Autorentext

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 journals

Inhalt

Chapter 1 Introduction to Pulmonary Diseases and OMICS approaches.- Chapter 2 Obstructive Pulmonary Diseases.- Chapter 3 COPD (Chronic Obstructive Pulmonar Diseases).- Chapter 4 Asthma.- Chapter 5 Other obstructive airway diseases like Bronchiectases, Focal airway narrowing.- Chapter 6 Restrictive Pulmonary Diseases (Common qualities and features with examples).- Chapter 7 Interstitial Pulmonary fibrosis (IPF).- Chapter 8 Sarcoidosis.- Chapter 9 Other restrictive airway diseases like pneumonitis, pleural thickening.- Chapter 10 Vascular Diseases.- Chapter 11 Pulmonary hypertension.- Chapter 12 Pulmonary edema.- Chapter 13 Other vascular diseases like Pulmonary Edema, Cor Pulmonale.- Chapter 14 Infectious Diseases.- Chapter 15 Tuberculosis.- Chapter 16Cystic fibrosis.- Chapter 17 Pneumonia, COVID-19 and others.- Chapter 18 Neoplastic Diseases/Lung Cancer.