Structure and Dynamics of Oligonucleotides in the Gas Phase
By combining ion‐mobility mass spectrometry experiments with sub‐millisecond classical and ab initio molecular dynamics we fully characterized, for the first time, the dynamic ensemble of a model nucleic acid in the gas phase under electrospray ionization conditions. The studied oligonucleotide unfo...
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Published in | Angewandte Chemie (International ed.) Vol. 54; no. 2; pp. 467 - 471 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Weinheim
WILEY-VCH Verlag
07.01.2015
WILEY‐VCH Verlag Wiley Subscription Services, Inc |
Edition | International ed. in English |
Subjects | |
Online Access | Get full text |
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Summary: | By combining ion‐mobility mass spectrometry experiments with sub‐millisecond classical and ab initio molecular dynamics we fully characterized, for the first time, the dynamic ensemble of a model nucleic acid in the gas phase under electrospray ionization conditions. The studied oligonucleotide unfolds upon vaporization, loses memory of the solution structure, and explores true gas‐phase conformational space. Contrary to our original expectations, the oligonucleotide shows very rich dynamics in three different timescales (multi‐picosecond, nanosecond, and sub‐millisecond). The shorter timescale dynamics has a quantum mechanical nature and leads to changes in the covalent structure, whereas the other two are of classical origin. Overall, this study suggests that a re‐evaluation on our view of the physics of nucleic acids upon vaporization is needed.
Molecular dynamics calculations and mass spectrometry are combined to obtain an atomistic description of DNA under vacuum after electrospray vaporization under mild ionization conditions. After vaporization, gas‐phase ions with different mass/charge (m/z) ratios are produced and for the most abundant charge state, the structure preserves a memory of the native conformation. |
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Bibliography: | Spanish National Institute of Bioinformatics ark:/67375/WNG-R2GN3GH1-3 ICREA-Academia European Research Council This work is supported by the Spanish MINECO (BIO2012-32868), the Spanish National Institute of Bioinformatics (INB) and the European Research Council (ERC). M.O. is an ICREA-Academia fellow and G.P. is a Sara Borell Fellow. Moreover, the authors gratefully acknowledge the Gauss Centre for Supercomputing (GCS) for providing computing time through the John von Neumann Institute for Computing (NIC) on the GCS share of the supercomputer JUQUEEN at the Jülich Supercomputing Centre (JSC). ERC Spanish MINECO - No. BIO2012-32868 INB istex:7FB700B39135D762DD0D7EE448015E6616448C82 ArticleID:ANIE201406910 This work is supported by the Spanish MINECO (BIO2012‐32868), the Spanish National Institute of Bioinformatics (INB) and the European Research Council (ERC). M.O. is an ICREA‐Academia fellow and G.P. is a Sara Borell Fellow. Moreover, the authors gratefully acknowledge the Gauss Centre for Supercomputing (GCS) for providing computing time through the John von Neumann Institute for Computing (NIC) on the GCS share of the supercomputer JUQUEEN at the Jülich Supercomputing Centre (JSC). ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1433-7851 1521-3773 |
DOI: | 10.1002/anie.201406910 |