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Cited by 469

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Thermal difference spectra: a specific signature for nucleic acid structures

Open access
Mergny, J.-L.·2005·Nucleic Acids Research

Abstract

We show that nucleic acid structures may be conveniently and inexpensively characterized by their UV thermal difference spectra. A thermal difference spectrum (TDS) is obtained for a nucleic acid by simply recording the ultraviolet absorbance spectra of the unfolded and folded states at temperatures above and below its melting temperature (T(m)). The difference between these two spectra is the TDS. The TDS has a specific shape that is unique for each type of nucleic acid structure, a conclusion that is based on a comparison of >900 spectra from 200 different sequences. The shape of the TDS reflects the subtleties of base stacking interactions that occur uniquely within each type of nucleic acid structure. TDS provides a simple, inexpensive and rapid method to obtain structural insight into nucleic acid structures, which is applicable to both DNA and RNA from short oligomers to polynucleotides. TDS complements circular dichroism as a tool for the structural characterization of nucleic acids in solution.

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Metadata

Authors
Mergny, J.-L.
Venue
Nucleic Acids Research
Published
2005-09-07
Volume
33
Issue
16
Pages
e138-e138
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2027738669
Cited by
469
References
25
FWCI
3.57
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Thermal difference spectra: a specific signature for nucleic acid structures. https://app.cochat.ai/papers/10.1093/nar/gni134
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Mergny, J.-L. (2005). Thermal difference spectra: a specific signature for nucleic acid structures. Nucleic Acids Research. https://doi.org/10.1093/nar/gni134

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.