J
John C. Gebler
Researcher at Waters Corporation
Publications - 83
Citations - 4754
John C. Gebler is an academic researcher from Waters Corporation. The author has contributed to research in topics: Mass spectrometry & Protein mass spectrometry. The author has an hindex of 34, co-authored 81 publications receiving 4508 citations. Previous affiliations of John C. Gebler include Northeastern University & University of Utah.
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Journal ArticleDOI
Orthogonality of separation in two-dimensional liquid chromatography.
TL;DR: The RP-RP system (employing significantly different pH in both RP separation dimensions) had the highest practical peak capacity of 2D-LC systems investigated and was found to provide suitable orthogonality.
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Two‐dimensional separation of peptides using RP‐RP‐HPLC system with different pH in first and second separation dimensions
TL;DR: The orthogonality of 2D separation was investigated for selected types of RP stationary phases, ion-pairing agents and mobile phase pH; the pH appears to have the most significant impact on the RP-LC separation selectivity.
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Enzyme-Friendly, Mass Spectrometry-Compatible Surfactant for In-Solution Enzymatic Digestion of Proteins
TL;DR: Improved in-solution tryptic digestion of proteins in terms of speed and peptide coverage was achieved with the aid of a novel acid-labile anionic surfactant (ALS), which combines the advantages of protein solubilization, rapid digestion, high peptide coverages, and easy sample preparation for mass spectrometry and liquid chromatography analyses.
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Stereoselective hydrolysis catalyzed by related beta-1,4-glucanases and beta-1,4-xylanases.
John C. Gebler,Neil R. Gilkes,M Claeyssens,David Wilson,Pierre Beguin,Warren W. Wakarchuk,Douglas G. Kilburn,Robert C. Miller,R. A. J. Warren,Stephen G. Withers +9 more
TL;DR: The stereochemical course of hydrolysis of 10 enzymes representative of five families has been determined using proton NMR, showing that representatives of a given enzyme family have the same stereoselectivity.
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Ion-pair reversed-phase high-performance liquid chromatography analysis of oligonucleotides: retention prediction.
Martin Gilar,Kenneth J. Fountain,Yeva Budman,Uwe D. Neue,Kurt R. Yardley,Paul D. Rainville,Reb J. Russell,John C. Gebler +7 more
TL;DR: A mathematical model for the prediction of oligonucleotide retention from sequence and length was developed and used to select the optimal initial gradient strength for fast HPLC purification of synthetic oligon nucleotides.