Using omics approaches to understand pulmonary diseases
- PMID: 28774304
- PMCID: PMC5543452
- DOI: 10.1186/s12931-017-0631-9
Using omics approaches to understand pulmonary diseases
Abstract
Omics approaches are high-throughput unbiased technologies that provide snapshots of various aspects of biological systems and include: 1) genomics, the measure of DNA variation; 2) transcriptomics, the measure of RNA expression; 3) epigenomics, the measure of DNA alterations not involving sequence variation that influence RNA expression; 4) proteomics, the measure of protein expression or its chemical modifications; and 5) metabolomics, the measure of metabolite levels. Our understanding of pulmonary diseases has increased as a result of applying these omics approaches to characterize patients, uncover mechanisms underlying drug responsiveness, and identify effects of environmental exposures and interventions. As more tissue- and cell-specific omics data is analyzed and integrated for diverse patients under various conditions, there will be increased identification of key mechanisms that underlie pulmonary biological processes, disease endotypes, and novel therapeutics that are efficacious in select individuals. We provide a synopsis of how omics approaches have advanced our understanding of asthma, chronic obstructive pulmonary disease (COPD), acute respiratory distress syndrome (ARDS), idiopathic pulmonary fibrosis (IPF), and pulmonary arterial hypertension (PAH), and we highlight ongoing work that will facilitate pulmonary disease precision medicine.
Keywords: Epigenomics; Genomics; Metabolomics; Proteomics; Pulmonary diseases; Transcriptomics.
Conflict of interest statement
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figures
Similar articles
-
The Need for Multi-Omics Biomarker Signatures in Precision Medicine.Int J Mol Sci. 2019 Sep 26;20(19):4781. doi: 10.3390/ijms20194781. Int J Mol Sci. 2019. PMID: 31561483 Free PMC article. Review.
-
Holistic Integration of Omics Tools for Precision Nutrition in Health and Disease.Nutrients. 2022 Sep 30;14(19):4074. doi: 10.3390/nu14194074. Nutrients. 2022. PMID: 36235725 Free PMC article. Review.
-
Integrative Omics to Characterize and Classify Pulmonary Vascular Disease.Clin Chest Med. 2021 Mar;42(1):195-205. doi: 10.1016/j.ccm.2020.10.001. Epub 2021 Jan 12. Clin Chest Med. 2021. PMID: 33541613 Free PMC article. Review.
-
Omics-Based Investigations of Breast Cancer.Molecules. 2023 Jun 14;28(12):4768. doi: 10.3390/molecules28124768. Molecules. 2023. PMID: 37375323 Free PMC article. Review.
-
Integrating multi-omics approaches in deciphering atopic dermatitis pathogenesis and future therapeutic directions.Allergy. 2024 Sep;79(9):2366-2379. doi: 10.1111/all.16183. Epub 2024 Jun 4. Allergy. 2024. PMID: 38837434 Review.
Cited by
-
Non-targeted proteomics of acute respiratory distress syndrome: clinical and research applications.Proteome Sci. 2021 Mar 20;19(1):5. doi: 10.1186/s12953-021-00174-y. Proteome Sci. 2021. PMID: 33743690 Free PMC article. Review.
-
Detection of the Disorders of Glycerophospholipids and Amino Acids Metabolism in Lung Tissue From Male COPD Patients.Front Mol Biosci. 2022 Mar 3;9:839259. doi: 10.3389/fmolb.2022.839259. eCollection 2022. Front Mol Biosci. 2022. PMID: 35309511 Free PMC article.
-
Integration of Transcriptomic Data Identifies Global and Cell-Specific Asthma-Related Gene Expression Signatures.AMIA Annu Symp Proc. 2018 Dec 5;2018:1338-1347. eCollection 2018. AMIA Annu Symp Proc. 2018. PMID: 30815178 Free PMC article.
-
Multiomics analysis identifies BIRC3 as a novel glucocorticoid response-associated gene.J Allergy Clin Immunol. 2022 Jun;149(6):1981-1991. doi: 10.1016/j.jaci.2021.11.025. Epub 2021 Dec 28. J Allergy Clin Immunol. 2022. PMID: 34971648 Free PMC article.
-
Characteristics of circular RNA expression in lung tissues from mice with hypoxia‑induced pulmonary hypertension.Int J Mol Med. 2018 Sep;42(3):1353-1366. doi: 10.3892/ijmm.2018.3740. Epub 2018 Jun 21. Int J Mol Med. 2018. PMID: 29956720 Free PMC article.
References
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials