↓ Skip to main content

PLOS

Protein Buffering in Model Systems and in Whole Human Saliva

Overview of attention for article published in PLOS ONE, February 2007
Altmetric Badge

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
48 Mendeley
citeulike
1 CiteULike
Title
Protein Buffering in Model Systems and in Whole Human Saliva
Published in
PLOS ONE, February 2007
DOI 10.1371/journal.pone.0000263
Pubmed ID
Authors

Andreas Lamanda, Zeinab Cheaib, Melek Dilek Turgut, Adrian Lussi

Abstract

The aim of this study was to quantify the buffer attributes (value, power, range and optimum) of two model systems for whole human resting saliva, the purified proteins from whole human resting saliva and single proteins. Two model systems, the first containing amyloglucosidase and lysozyme, and the second containing amyloglucosidase and alpha-amylase, were shown to provide, in combination with hydrogencarbonate and di-hydrogenphosphate, almost identical buffer attributes as whole human resting saliva. It was further demonstrated that changes in the protein concentration as small as 0.1% may change the buffer value of a buffer solution up to 15 times. Additionally, it was shown that there was a protein concentration change in the same range (0.16%) between saliva samples collected at the time periods of 13:00 and others collected at 9:00 am and 17:00. The mode of the protein expression changed between these samples corresponded to the change in basic buffer power and the change of the buffer value at pH 6.7. Finally, SDS Page and Ruthenium II tris (bathophenantroline disulfonate) staining unveiled a constant protein expression in all samples except for one 50 kDa protein band. As the change in the expression pattern of that 50 kDa protein band corresponded to the change in basic buffer power and the buffer value at pH 6.7, it was reasonable to conclude that this 50 kDa protein band may contain the protein(s) belonging to the protein buffer system of human saliva.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
Argentina 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Bachelor 5 10%
Researcher 5 10%
Student > Master 5 10%
Professor 4 8%
Other 7 15%
Unknown 14 29%
Readers by discipline Count As %
Medicine and Dentistry 15 31%
Chemistry 4 8%
Agricultural and Biological Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 7 15%
Unknown 13 27%