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Use of PB-Cre4 Mice for Mosaic Gene Deletion

Overview of attention for article published in PLOS ONE, January 2013
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Title
Use of PB-Cre4 Mice for Mosaic Gene Deletion
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0053501
Pubmed ID
Authors

Andreas Birbach

Abstract

Transgene expression from short promoters in transgenic animals can lead to unwanted transgene expression patterns, often as a byproduct of random integration of the expression cassette into the host genome. Here I demonstrate that the often used PB-Cre4 line (also referred to as "Probasin-Cre"), although expressing exclusively in the male prostate epithelium when transmitted through male mice, can lead to recombination of loxP-flanked alleles in a large variety of tissues when transmitted through female mice. This aberrant Cre activity due to Cre expression in the oocytes leads to different outcomes for maternally or paternally transmitted loxP-flanked alleles: Maternally inherited loxP-flanked alleles undergo recombination very efficiently, making female PB-Cre4 mice an efficient monoallelic "Cre deleter line". However, paternally inherited loxP-flanked alleles are inefficiently recombined by maternal PB-Cre4, giving rise to mosaic expression patterns in the offspring. This mosaic recombination is difficult to detect with standard genotyping approaches of many mouse lines and should therefore caution researchers using PB-Cre4 to use additional approaches to exclude the presence of recombined alleles. However, mosaic recombination should also be useful in transgenic "knockout" approaches for mosaic gene deletion experiments.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 35%
Student > Ph. D. Student 3 13%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Other 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 35%
Agricultural and Biological Sciences 6 26%
Medicine and Dentistry 3 13%
Social Sciences 1 4%
Arts and Humanities 1 4%
Other 0 0%
Unknown 4 17%