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Sensitive and Specific Detection of the Non-Human Sialic Acid N-Glycolylneuraminic Acid In Human Tissues and Biotherapeutic Products

Overview of attention for article published in PLOS ONE, January 2009
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Title
Sensitive and Specific Detection of the Non-Human Sialic Acid N-Glycolylneuraminic Acid In Human Tissues and Biotherapeutic Products
Published in
PLOS ONE, January 2009
DOI 10.1371/journal.pone.0004241
Pubmed ID
Authors

Sandra L. Diaz, Vered Padler-Karavani, Darius Ghaderi, Nancy Hurtado-Ziola, Hai Yu, Xi Chen, Els C. M. Brinkman-Van der Linden, Ajit Varki, Nissi M. Varki

Abstract

Humans are genetically defective in synthesizing the common mammalian sialic acid N-glycolylneuraminic acid (Neu5Gc), but can metabolically incorporate it from dietary sources (particularly red meat and milk) into glycoproteins and glycolipids of human tumors, fetuses and some normal tissues. Metabolic incorporation of Neu5Gc from animal-derived cells and medium components also results in variable contamination of molecules and cells intended for human therapies. These Neu5Gc-incorporation phenomena are practically significant, because normal humans can have high levels of circulating anti-Neu5Gc antibodies. Thus, there is need for the sensitive and specific detection of Neu5Gc in human tissues and biotherapeutic products. Unlike monoclonal antibodies that recognize Neu5Gc only in the context of underlying structures, chicken immunoglobulin Y (IgY) polyclonal antibodies can recognize Neu5Gc in broader contexts. However, prior preparations of such antibodies (including our own) suffered from some non-specificity, as well as some cross-reactivity with the human sialic acid N-acetylneuraminic acid (Neu5Ac).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
United States 2 2%
Denmark 1 <1%
Canada 1 <1%
Unknown 117 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 25%
Student > Ph. D. Student 23 18%
Other 9 7%
Professor > Associate Professor 8 6%
Student > Master 8 6%
Other 22 18%
Unknown 24 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 35%
Chemistry 14 11%
Biochemistry, Genetics and Molecular Biology 14 11%
Medicine and Dentistry 8 6%
Immunology and Microbiology 5 4%
Other 13 10%
Unknown 27 22%