The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
In Vitro Evolution of Functional DNA Using Capillary Electrophoresis
Abstract
Electrophoretic selection with capillary electrophoresis (CE) is used, for the first time, to isolate functional nucleic acid sequences using SELEX (systematic evolution of ligands by exponential enrichment). SELEX uses molecular evolution to select functional sequences (aptamers) from random RNA or DNA libraries. Conventional SELEX is usually performed with affinity chromatography, which may introduce significant bias into the selection step. Important biases include the slow kinetics involved in the elution of strongly bound sequences and performing the selection with the target molecule tethered to the stationary support, not in free solution. In this novel CE-SELEX approach, selection occurs in free solution. The nucleic acid sequences that bind the target undergo a mobility shift, migrating at a different rate, allowing them to be separated from the inactive sequences. Thus, there is no need to wash the active sequences off a column as in conventional SELEX, eliminating any kinetic bias. In this work, the viability of CE-SELEX was demonstrated by performing selections against immunoglobulin E (IgE). Anti-IgE aptamers with dissociation constants as low as 40 nM were obtained in only two rounds of selection.
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Citations
Cites
Nucleic Acid Selection and the Challenge of Combinatorial Chemistry
Osborne, S. E., & Ellington, A. D. (1997) · Chemical Reviews · doi:10.1021/cr960009c · Cited by 520
Aptamers as therapeutic and diagnostic agents
Brody, E. N., & Gold, L. (2000) · Reviews in Molecular Biotechnology · doi:10.1016/s1389-0352(99)00004-5 · Cited by 494
Nucleic Acid AptamersFrom Selection in Vitro to Applications in Vivo
Famulok, M., Mayer, G., & Blind, M. (2000) · Accounts of Chemical Research · doi:10.1021/ar960167q · Cited by 422
Aptasensors – the future of biosensing?
O'Sullivan, C. K. (2002) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-001-1189-3 · Cited by 410
High-affinity oligonucleotide ligands to human IgE inhibit binding to Fc ε receptor I
Wiegand, T. W., Williams, P. B., Dreskin, S. C., Jouvin, M. H., Kinet, J. P., & Tasset, D. (1996) · The Journal of Immunology · doi:10.4049/jimmunol.157.1.221 · Cited by 351
A DNA Aptamer as a New Target-Specific Chiral Selector for HPLC
Michaud, M., Jourdan, E., Villet, A., Ravel, A., Grosset, C., & Peyrin, E. (2003) · Journal of the American Chemical Society · doi:10.1021/ja034483t · Cited by 198
Protein-Ligand Interactions: hydrodynamics and calorimetry
(2000) · doi:10.1093/oso/9780199637492.001.0001 · Cited by 176
In vitro selection of nucleic acids for diagnostic applications
Hesselberth, J. R., Robertson, M. P., Jhaveri, S. D., & Ellington, A. D. (2000) · Reviews in Molecular Biotechnology · doi:10.1016/s1389-0352(99)00005-7 · Cited by 120
Molecular evolution: A theory approaches experiments
Forst, C. V. (1998) · Journal of Biotechnology · doi:10.1016/s0168-1656(98)00107-2 · Cited by 16
Cited by
Analysis of aptamer discovery and technology
Dunn, M. R., Jimenez, R. M., & Chaput, J. C. (2017) · Nature Reviews Chemistry · doi:10.1038/s41570-017-0076 · Cited by 938
Durney, B. C., Crihfield, C. L., & Holland, L. A. (2015) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-015-8703-5 · Cited by 92
Analysis of therapeutic nucleic acids by capillary electrophoresis
Wei, B., Goyon, A., & Zhang, K. (2022) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2022.114928 · Cited by 50
Metadata
- Authors
- Mendonsa, S. D., & Bowser, M. T.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2003-12-09
- Volume
- 126
- Issue
- 1
- Pages
- 20-21
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2055558161
- Cited by
- 417
- References
- 9
- FWCI
- 2.90
- Type
- journal article
- Language
- en
- Open access
- closed
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