Evaluation and Interpretation of Transcriptome Data Underlying Heterogeneous Chronic Obstructive Pulmonary Disease
Genomics & Informatics
; : e2-2019.
Artículo
en Inglés
| WPRIM (Pacífico Occidental)
| ID: wpr-763801
Biblioteca responsable:
WPRO
ABSTRACT
Chronic obstructive pulmonary disease (COPD) is a type of progressive lung disease, featured by airflow obstruction. Recently, a comprehensive analysis of the transcriptome in lung tissue of COPD patients was performed, but the heterogeneity of the sample was not seriously considered in characterizing the mechanistic dysregulation of COPD. Here, we established a new transcriptome analysis pipeline using a deconvolution process to reduce the heterogeneity and clearly identified that these transcriptome data originated from the mild or moderate stage of COPD patients. Differentially expressed or co-expressed genes in the protein interaction subnetworks were linked with mitochondrial dysfunction and the immune response, as expected. Computational protein localization prediction revealed that 19 proteins showing changes in subcellular localization were mostly related to mitochondria, suggesting that mislocalization of mitochondria-targeting proteins plays an important role in COPD pathology. Our extensive evaluation of COPD transcriptome data could provide guidelines for analyzing heterogeneous gene expression profiles and classifying potential candidate genes that are responsible for the pathogenesis of COPD.
Texto completo:
Disponible
Base de datos:
WPRIM (Pacífico Occidental)
Asunto principal:
Patología
/
Características de la Población
/
Perfilación de la Expresión Génica
/
Enfermedad Pulmonar Obstructiva Crónica
/
Transcriptoma
/
Pulmón
/
Enfermedades Pulmonares
/
Mitocondrias
Tipo de estudio:
Estudio pronóstico
Aspecto:
Determinantes sociales de la salud
Límite:
Humanos
Idioma:
Inglés
Revista:
Genomics & Informatics
Año:
2019
Tipo del documento:
Artículo