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Assigning Backbone NMR Resonances for Full Length Tau Isoforms: Efficient Compromise between Manual Assignments and Reduced Dimensionality

Overview of attention for article published in PLOS ONE, April 2012
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Title
Assigning Backbone NMR Resonances for Full Length Tau Isoforms: Efficient Compromise between Manual Assignments and Reduced Dimensionality
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034679
Pubmed ID
Authors

Nicholas W. Harbison, Shibani Bhattacharya, David Eliezer

Abstract

Tau protein is the longest disordered protein for which nearly complete backbone NMR resonance assignments have been reported. Full-length tau protein was initially assigned using a laborious combination of bootstrapping assignments from shorter tau fragments and conventional triple resonance NMR experiments. Subsequently it was reported that assignments of comparable quality could be obtained in a fully automated fashion from data obtained using reduced dimensionality NMR (RDNMR) experiments employing a large number of indirect dimensions. Although the latter strategy offers many advantages, it presents some difficulties if manual intervention, confirmation, or correction of the assignments is desirable, as may often be the case for long disordered and degenerate polypeptide sequences. Here we demonstrate that nearly complete backbone resonance assignments for full-length tau isoforms can be obtained without resorting either to bootstrapping from smaller fragments or to very high dimensionality experiments and automation. Instead, a set of RDNMR triple resonance experiments of modest dimensionality lend themselves readily to efficient and unambiguous manual assignments. An analysis of the backbone chemical shifts obtained in this fashion indicates several regions in full length tau with a notable propensity for helical or strand-like structure that are in good agreement with previous observations.

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The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Student > Bachelor 6 18%
Student > Doctoral Student 5 15%
Researcher 4 12%
Student > Postgraduate 3 9%
Other 6 18%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 27%
Biochemistry, Genetics and Molecular Biology 8 24%
Chemistry 5 15%
Neuroscience 3 9%
Medicine and Dentistry 1 3%
Other 3 9%
Unknown 4 12%