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Feline immunodeficiency virus vectors persistently transduce nondividing airway epithelia and correct the cystic fibrosis defect

Overview of attention for article published in Journal of Clinical Investigation, December 1999
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

patent
48 patents

Readers on

mendeley
42 Mendeley
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Article details
Title
Feline immunodeficiency virus vectors persistently transduce nondividing airway epithelia and correct the cystic fibrosis defect
Published in
Journal of Clinical Investigation, December 1999
DOI 10.1172/jci8390
Pubmed ID
Authors
Abstract

Several problems limit the application of gene transfer to correct the cystic fibrosis (CF) Cl(-) transport defect in airway epithelia. These include inefficient transduction with vectors applied to the apical surface, a low rate of division by airway epithelial cells, failure of transgene expression to persist, and immune responses to vectors or vector-encoded proteins. To address these issues, we used a feline immunodeficiency virus-based (FIV-based) vector. FIV vector formulated with a calcium chelator transduced fully differentiated, nondividing human airway epithelia when applied to the apical surface. FIV-based vector encoding the cystic fibrosis transmembrane conductance regulator cDNA corrected the Cl(-) transport defect in differentiated CF airway epithelia for the life of the culture (>3 months). When this approach was applied in vivo, FIV vector expressing beta-galactosidase transduced 1-14% of adult rabbit airway epithelia. Transduced cells were present in the conducting airways, bronchioles, and alveoli. Importantly, gene expression persisted, and cells with progenitor capacity were targeted. FIV-based lentiviral vectors may be useful for the treatment of genetic lung diseases such as CF. This article may have been published online in advance of the print edition.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Canada 2 5%
United States 1 2%
Portugal 1 2%
United Kingdom 1 2%
Unknown 37 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 21%
Student > Bachelor 8 19%
Student > Master 6 14%
Student > Ph. D. Student 5 12%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 8 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 15 36%
Biochemistry, Genetics and Molecular Biology 6 14%
Medicine and Dentistry 6 14%
Immunology and Microbiology 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 7%
Unknown 9 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 August 2025.
All research outputs
#3,721,270
of 34,043,423 outputs
Outputs from Journal of Clinical Investigation
#5,011
of 20,771 outputs
Outputs of similar age
#6,927
of 153,469 outputs
Outputs of similar age from Journal of Clinical Investigation
#6
of 80 outputs
Altmetric has tracked 34,043,423 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,771 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 153,469 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.