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Whole cell solid-state NMR study of Chlamydomonas reinhardtii microalgae

Overview of attention for article published in Journal of Biomolecular NMR, January 2018
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Title
Whole cell solid-state NMR study of Chlamydomonas reinhardtii microalgae
Published in
Journal of Biomolecular NMR, January 2018
DOI 10.1007/s10858-018-0164-7
Pubmed ID
Authors

Alexandre A. Arnold, Jean-Philippe Bourgouin, Bertrand Genard, Dror E. Warschawski, Réjean Tremblay, Isabelle Marcotte

Abstract

In vivo or whole-cell solid-state NMR is an emerging field which faces tremendous challenges. In most cases, cell biochemistry does not allow the labelling of specific molecules and an in vivo study is thus hindered by the inherent difficulty of identifying, among a formidable number of resonances, those arising from a given molecule. In this work we examined the possibility of studying, by solid-state NMR, the model organism Chlamydomonas reinhardtii fully and non-specifically 13C labelled. The extension of NMR-based dynamic filtering from one-dimensional to two-dimensional experiments enabled an enhanced selectivity which facilitated the assignment of cell constituents. The number of resonances detected with these robust and broadly applicable experiments appears to be surprisingly sparse. Various constituents, notably galactolipids abundant in organelle membranes, carbohydrates from the cell wall, and starch from storage grains could be unambiguously assigned. Moreover, the dominant crystal form of starch could be determined in situ. This work illustrates the feasibility and caveats of using solid-state NMR to study intact non-specifically 13C labelled micro-organisms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 7 15%
Student > Doctoral Student 4 9%
Professor 3 6%
Student > Bachelor 1 2%
Other 5 11%
Unknown 15 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 30%
Chemistry 8 17%
Agricultural and Biological Sciences 3 6%
Chemical Engineering 2 4%
Engineering 2 4%
Other 5 11%
Unknown 13 28%