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DOI 10.2147/copd.s173206

Медицинская библиотека · International journal of chronic obstructive pulmonary disease · 2018

Systematic analysis of transcriptomic profiles of COPD airway epithelium using next-generation sequencing and bioinformatics.

Chang Wei-An, Tsai Ming-Ju, Jian Shu-Fang, Sheu Chau-Chyun, Kuo Po-Lin

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Аннотация

INTRODUCTION

COPD is a chronic inflammatory disease of lung. The inflammatory response in COPD is associated with neutrophils, macrophages, T lymphocytes, and bronchial epithelial cells, and occurs mainly in the small airway, leading to irreversible airflow limitation.

METHODS

In order to investigate the microRNA-mRNA interaction in the microenvironment of the COPD airway, we used next-generation sequencing and bioinformatics in this study.

RESULTS

We identified four genes with microRNA-mRNA interactions involved in COPD small-airway bronchial epithelial cells: NT5E, SDK1, TNS1, and PCDH7. Furthermore, miR6511a-5p-NT5E interaction was found to be involved in small-airway bronchial epithelial cells, large-airway bronchial epithelial cells, and alveolar macrophages.

CONCLUSION

Our results showed that miR6511a-5p-NT5E interaction plays an important role in COPD, which might be associated with cell-cell contact, activation of leukocytes, activation of T lymphocytes, and cellular homeostasis. These findings provide new information for further investigations of the COPD microenvironment, and may help to develop new diagnostic or therapeutic strategies targeting the bronchial epithelium for COPD.

Для цитирования: Chang Wei-An, Tsai Ming-Ju, Jian Shu-Fang, Sheu Chau-Chyun, Kuo Po-Lin. Systematic analysis of transcriptomic profiles of COPD airway epithelium using next-generation sequencing and bioinformatics.. International journal of chronic obstructive pulmonary disease. 2018. DOI: 10.2147/copd.s173206.

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