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Karsten Kuhn

Researcher at University of Geneva

Publications -  36
Citations -  4170

Karsten Kuhn is an academic researcher from University of Geneva. The author has contributed to research in topics: Tandem mass tag & Isobaric labeling. The author has an hindex of 14, co-authored 36 publications receiving 3433 citations.

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Tandem Mass Tags: A Novel Quantification Strategy for Comparative Analysis of Complex Protein Mixtures by MS/MS

TL;DR: A novel MS/MS-based analysis strategy using isotopomer labels, referred to as "tandem mass tags" (TMTs), for the accurate quantification of peptides and proteins is described, which allows peptides from different samples to be identified by their relative abundance with greater ease and accuracy than other methods.
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Relative Quantification of Proteins in Human Cerebrospinal Fluids by MS/MS Using 6-Plex Isobaric Tags

TL;DR: The validity and robustness of the tandem mass tag (TMT) approach for quantitative MS-based proteomics is demonstrated, and proof of principle studies are carried out using standard protein mixtures and human cerebrospinal fluid (CSF) samples.
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Increasing the multiplexing capacity of TMTs using reporter ion isotopologues with isobaric masses.

TL;DR: This work serves as a blueprint for expanding the multiplexing capacity of the TMT reagents to at least 10-plex and possibly up to 18-plex, and is able to quantify across eight samples simultaneously by combining the (13)C- and (15)N-containing reporter ions.
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TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samples.

TL;DR: A set of isobaric labeling reagents called TMTpro enables deep quantitative comparisons of proteome measurements across 16 samples, and identifies and dose-stratified staurosporine binding to 228 cellular kinases in just one, 18-h experiment.
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TMTpro: Design, Synthesis, and Initial Evaluation of a Proline-Based Isobaric 16-Plex Tandem Mass Tag Reagent Set

TL;DR: The ability to pool 16 samples reduces the overall amount of sample required for each channel and it is anticipated that TMTpro reagents will be a useful enhancement for any protocol that benefits from sample pooling and should reduce missing data.