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A rapid extraction method for glycogen from formalin-fixed liver

Overview of attention for article published in Carbohydrate Polymers, November 2014
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Title
A rapid extraction method for glycogen from formalin-fixed liver
Published in
Carbohydrate Polymers, November 2014
DOI 10.1016/j.carbpol.2014.11.005
Pubmed ID
Authors

Mitchell A. Sullivan, Shihan Li, Samuel T.N. Aroney, Bin Deng, Cheng Li, Eugeni Roura, Benjamin L. Schulz, Brooke E. Harcourt, Josephine M. Forbes, Robert G. Gilbert

Abstract

Liver glycogen, a highly branched polymer, acts as our blood-glucose buffer. While past structural studies have extracted glycogen from fresh or frozen tissue using a cold-water, sucrose-gradient centrifugation technique, a method for the extraction of glycogen from formalin-fixed liver would allow the analysis of glycogen from human tissues that are routinely collected in pathology laboratories. In this study, both sucrose-gradient and formalin-fixed extraction techniques were carried out on piglet livers, with the yields, purities and size distributions (using size exclusion chromatography) compared. The formalin extraction technique, when combined with a protease treatment, resulted in higher yields (but lower purities) of glycogen with size distributions similar to the sucrose-gradient centrifugation technique. This formalin extraction procedure was also significantly faster, allowing glycogen extraction throughput to increase by an order of magnitude. Both extraction techniques were compatible with mass spectrometry proteomics, with analysis showing the two techniques were highly complementary.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Croatia 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Other 5 15%
Researcher 4 12%
Student > Master 3 9%
Student > Bachelor 2 6%
Other 3 9%
Unknown 10 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 18%
Biochemistry, Genetics and Molecular Biology 5 15%
Chemistry 4 12%
Economics, Econometrics and Finance 2 6%
Linguistics 1 3%
Other 3 9%
Unknown 13 38%