Abstract:
:The airway epithelium represents an important barrier between the host and the environment. It is a first site of contact with pathogens, particulates, and other stimuli, and has evolved the means to dynamically respond to these challenges. In an effort to define the transcript profile of airway epithelia, we created and sequenced cDNA libraries from cystic fibrosis (CF) and non-CF epithelia and from human lung tissue. Sequencing of these libraries produced approximately 53,000 3'-expressed sequence tags (3'-ESTs). From these, a nonredundant UniGene set of more than 19,000 sequences was generated. Despite the relatively small contribution of airway epithelia to the total mass of the lung, focused gene discovery in this tissue yielded novel results. The ESTs included several thousand transcripts (6,416) not previously identified from cDNA sequences as expressed in the lung. Among the abundant transcripts were several genes involved in host defense. Most importantly, the set also included 879 3'-ESTs that appear to be novel sequences not previously represented in the National Center for Biotechnology Information UniGene collection. This UniGene set should be useful for studies of pulmonary diseases involving the airway epithelium including cystic fibrosis, respiratory infections and asthma. It also provides a reagent for large-scale expression profiling.
journal_name
Physiol Genomicsjournal_title
Physiological genomicsauthors
Scheetz TE,Zabner J,Welsh MJ,Coco J,Eyestone Mde F,Bonaldo M,Kucaba T,Casavant TL,Soares MB,McCray PB Jrdoi
10.1152/physiolgenomics.00188.2003subject
Has Abstractpub_date
2004-03-12 00:00:00pages
69-77issue
1eissn
1094-8341issn
1531-2267pii
00188.2003journal_volume
17pub_type
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