Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2018
Molecular characterization of gene regulatory networks in primary human tracheal and bronchial epithelial cells.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Gillen Austin E, Yang Rui, Cotton Calvin U, Perez Aura, Randell Scott H, Leir Shih-Hsing, Harris Ann
Аннотация
BACKGROUND: Robust methods to culture primary airway epithelial cells were developed several decades ago and these cells provide the model of choice to investigate many diseases of the human lung. However, the molecular signature of cells from different regions of the airway epithelium has not been well characterized.
METHODS: We utilize DNase-seq and RNA-seq to examine the molecular signatures of primary cells derived from human tracheal and bronchial tissues, as well as healthy and diseased (cystic fibrosis (CF)) donor lung tissue.
RESULTS: Our data reveal an airway cell signature that is divergent from other epithelial cell types and from common airway epithelial cell lines. The differences between tracheal and bronchial cells are clearly evident as are common regulatory features. Only minor variation is seen between bronchial cells from healthy or CF donors.
CONCLUSIONS: These data are a valuable resource for functional genomics analysis of airway epithelial tissues in human disease.
METHODS: We utilize DNase-seq and RNA-seq to examine the molecular signatures of primary cells derived from human tracheal and bronchial tissues, as well as healthy and diseased (cystic fibrosis (CF)) donor lung tissue.
RESULTS: Our data reveal an airway cell signature that is divergent from other epithelial cell types and from common airway epithelial cell lines. The differences between tracheal and bronchial cells are clearly evident as are common regulatory features. Only minor variation is seen between bronchial cells from healthy or CF donors.
CONCLUSIONS: These data are a valuable resource for functional genomics analysis of airway epithelial tissues in human disease.