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Anti-Candidal Activity of Genetically Engineered Histatin Variants with Multiple Functional Domains

Overview of attention for article published in PLOS ONE, December 2012
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Title
Anti-Candidal Activity of Genetically Engineered Histatin Variants with Multiple Functional Domains
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051479
Pubmed ID
Authors

Frank G. Oppenheim, Eva J. Helmerhorst, Urs Lendenmann, Gwynneth D. Offner

Abstract

The human bodily defense system includes a wide variety of innate antimicrobial proteins. Histatins are small molecular weight proteins produced by the human salivary glands that exhibit antifungal and antibacterial activities. While evolutionarily old salivary proteins such as mucins and proline-rich proteins contain large regions of tandem repeats, relatively young proteins like histatins do not contain such repeated domains. Anticipating that domain duplications have a functional advantage, we genetically engineered variants of histatin 3 with one, two, three, or four copies of the functional domain by PCR and splice overlap. The resulting proteins, designated reHst3 1-mer, reHist3 2-mer, reHis3 3-mer and reHist3 4-mer, exhibited molecular weights of 4,062, 5,919, 7,777, and 9,634 Da, respectively. The biological activities of these constructs were evaluated in fungicidal assays toward Candida albicans blastoconidia and germinated cells. The antifungal activities per mole of protein increased concomitantly with the number of functional domains present. This increase, however, was higher than could be anticipated from the molar concentration of functional domains present in the constructs. The demonstrated increase in antifungal activity may provide an evolutionary explanation why such domain multiplication is a frequent event in human salivary proteins.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 21%
Student > Ph. D. Student 3 21%
Researcher 2 14%
Student > Master 2 14%
Professor 1 7%
Other 2 14%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Agricultural and Biological Sciences 4 29%
Chemistry 2 14%
Medicine and Dentistry 2 14%
Unknown 2 14%