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Ajit Varki

Researcher at University of California, San Diego

Publications -  557
Citations -  63836

Ajit Varki is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Sialic acid & SIGLEC. The author has an hindex of 124, co-authored 542 publications receiving 58772 citations. Previous affiliations of Ajit Varki include Emory University & National Institute of Advanced Industrial Science and Technology.

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Studies of naturally occurring modifications of sialic acids by fast-atom bombardment-mass spectrometry. Analysis of positional isomers by periodate cleavage

TL;DR: It is reported here that fast-atom bombardment-mass-spectrometry (FAB-MS) of native sialic acids provides specific detection and quantitation of many previously known compounds and shows that the alkaline conditions traditionally used for analytical de-O-acetylation of sIALic acids causes substantial conversion of 4,8-anhydro-N- acetyl-neuraminic acid in acid hydrolysates of horse serum.
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Dual actions of group B Streptococcus capsular sialic acid provide resistance to platelet-mediated antimicrobial killing

TL;DR: GBS Sia has dual roles in counteracting platelet antimicrobial immunity: conferring intrinsic resistance to platelet-derived antimicrobial components and inhibiting platelet activation through engagement of inhibitory Siglecs.
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Acetyl-coenzyme A:polysialic acid O-acetyltransferase from K1-positive Escherichia coli. The enzyme responsible for the O-acetyl plus phenotype and for O-acetyl form variation.

TL;DR: An acetyl-coenzyme A: polysialosyl O-acetyltransferase activity that is found only in E. coli K1 OAc+ substrains is demonstrated, suggesting that enzymatic recognition of the substrate requires only thepolysialic acid sequence.
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Serum myoglobin in acute myocardial infarction: A clinical study and review of the literature

TL;DR: A study of serum myoglobin in a consecutive series of patients with suspected acute myocardial infarction, and in several other noncardiac conditions, finding the sensitivity, specificity, and practical value of SMb are discussed.