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Pulmonary Bioinformatics: Mechanism, Biomarkers and Therapies

Pulmonary diseases are one of the most common causes responsible for high mortality and morbidity, including asthma, chronic obstructive pulmonary disease, restrictive lung diseases, airway infections, lung cancer, pleural cavity diseases, and pulmonary vascular diseases. Recent advances in bioinformatics have introduced new technologies to study the mechanisms, biomarkers and therapies for pulmonary diseases. Knowledge and understanding of these conditions have led to the development of animal models, successful therapies, and novel tools to characterize these clinical conditions and provide better care to patients. This series aims to publish original research articles and review articles that will stimulate the continuing efforts to understand the molecular pathology underlying pulmonary diseases, the development of strategies to treat these conditions, and the evaluation of outcomes. The series is still accepting submissions; the call for papers provides more information.

Dr Galina Bogatkevich, Prof Richard Gronostajski, Prof Yoshinori Marunaka, Prof Xiangdong Wang, Dr Yan Xu

  1. Content type: Research

    To identify non-invasive gene expression markers for chronic obstructive pulmonary disease (COPD), we performed genome-wide expression profiling of peripheral blood samples from 12 subjects with significant ai...

    Authors: Soumyaroop Bhattacharya, Shivraj Tyagi, Sorachai Srisuma, Dawn L DeMeo, Steven D Shapiro, Raphael Bueno, Edwin K Silverman, John J Reilly and Thomas J Mariani

    Citation: Journal of Clinical Bioinformatics 2011 1:12

    Published on:

  2. Content type: Research

    Lung cancer is the leading cause of death from cancer in the world and its treatment is dependant on the type and stage of cancer detected in the patient. Molecular biomarkers that can characterize the cancer ...

    Authors: In-Hee Lee, Gerald H Lushington and Mahesh Visvanathan

    Citation: Journal of Clinical Bioinformatics 2011 1:11

    Published on:

  3. Content type: Database

    In recent years, there has been tremendous growth and interest in translational research, particularly in cancer biology. This area of study clearly establishes the connection between laboratory experimentatio...

    Authors: Mosmi Surati, Matthew Robinson, Suvobroto Nandi, Leonardo Faoro, Carley Demchuk, Cleo E Rolle, Rajani Kanteti, Benjamin D Ferguson, Rifat Hasina, Tara C Gangadhar, April K Salama, Qudsia Arif, Colin Kirchner, Eneida Mendonca, Nicholas Campbell, Suwicha Limvorasak…

    Citation: Journal of Clinical Bioinformatics 2011 1:8

    Published on:

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