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The origin of DNA associated with mucus glycoproteins in cystic fibrosis sputum

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Lethem, MI, James, SL, Marriott, C, Burke, JF·1990·European Respiratory Journal

Abstract

The relative importance of host and bacteria-derived deoxyribonucleic acid (DNA) in the increased viscoelasticity of purulent sputum in cystic fibrosis (CF) and other airway diseases is unclear. We report the identification of the DNA associated with mucus glycoproteins purified from the purulent sputum of 9 patients with CF. Mucus glycoproteins were purified from CF sputum by gel exclusion chromatography and the co-purifying DNA isolated by phenol extraction. Electrophoresis indicated that the DNA preparations had a size of approximately 300 to greater than 50,000 bases. The origin of the DNA was determined by slot blotting and subsequent hybridization with 32P-labelled DNA probes specific for human DNA sequences and those from bacterial species commonly isolated from CF sputum. The results indicated that in all cases the DNA was almost entirely human in origin. This implies that it is the patient's own DNA which may contribute to the rheological abnormalities of CF sputum.

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Metadata

Authors
Lethem, M., James, S., Marriott, C., & Burke, J.
Venue
European Respiratory Journal
Published
1990-01-01
Volume
3
Issue
1
Pages
19-23
ISSN
  • 0903-1936 (ISSN-L)
  • 1399-3003
OpenAlex
W2156361445
Cited by
215
References
0
FWCI
2.99
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The origin of DNA associated with mucus glycoproteins in cystic fibrosis sputum. https://app.cochat.ai/papers/10.1183/09031936.93.03010019
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Lethem, M., James, S., Marriott, C., & Burke, J. (1990). The origin of DNA associated with mucus glycoproteins in cystic fibrosis sputum. European Respiratory Journal. https://doi.org/10.1183/09031936.93.03010019

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.