The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Three decades of nucleic acid aptamer technologies: Lessons learned, progress and opportunities on aptamer development
Open accessAbstract
Aptamers are short single-stranded nucleic acid sequences capable of binding to target molecules in a way similar to antibodies. Due to various advantages such as prolonged shelf life, low batch to batch variation, low/no immunogenicity, freedom to incorporate chemical modification for enhanced stability and targeting capacity, aptamers quickly found their potential in diverse applications ranging from therapy, drug delivery, diagnosis, and functional genomics to bio-sensing. Aptamers are generated by a process called SELEX. However, the current overall success rate of SELEX is far from being satisfactory, and still presents a major obstacle for aptamer-based research and application. The need for an efficient selection strategy consisting of defined procedures to deal with a wide variety of targets is significantly important. In this work, by analyzing key aspects of SELEX including initial library design, target preparation, PCR optimization, and single strand DNA separation, we provide a comprehensive analysis of individual steps to facilitate researchers intending to develop personalized protocols to address many of the obstacles in SELEX. In addition, this review provides suggestions and opinions for future aptamer development procedures to address the concerns on key SELEX steps, and post-SELEX modifications.
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Cites
Aptamer-Based Multiplexed Proteomic Technology for Biomarker Discovery
Gold, L., Ayers, D., Bertino, J., Bock, C., Bock, A., Brody, E. N., Carter, J., Dalby, A. B., Eaton, B. E., Fitzwater, T., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015004 · Cited by 1,754
Synthetic genetic polymers capable of heredity and evolution
Pinheiro, V. B., Taylor, A. I., Cozens, C., Abramov, M., Renders, M., Zhang, S., Chaput, J. C., Wengel, J., Peak-Chew, S.-Y., McLaughlin, S. H., et al. (2012) · Science · doi:10.1126/science.1217622 · Cited by 730
Jolma, A., Kivioja, T., Toivonen, J., Cheng, L., Wei, G., Enge, M., Taipale, M., Vaquerizas, J. M., Yan, J., Sillanpää, M. J., et al. (2010) · Genome Research · doi:10.1101/gr.100552.109 · Cited by 441
Selection of Nucleic Acid Aptamers Targeting Tumor Cell-Surface Protein Biomarkers
Mercier, M.-C., Dontenwill, M., & Choulier, L. (2017) · Cancers · doi:10.3390/cancers9060069 · Cited by 113
Ruff, K. M., Snyder, T. M., & Liu, D. R. (2010) · Journal of the American Chemical Society · doi:10.1021/ja103023m · Cited by 86
Abundance of correctly folded RNA motifs in sequence space, calculated on computational grids
Knight, R. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki886 · Cited by 63
Cited by
Edmondson, S. D., Yang, B., & Fallan, C. (2019) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2019.04.030 · Cited by 422
SELEX: Critical factors and optimization strategies for successful aptamer selection
Kohlberger, M., & Gadermaier, G. (2022) · Biotechnology and Applied Biochemistry · doi:10.1002/bab.2244 · Cited by 341
Nanoproteomics enables proteoform-resolved analysis of low-abundance proteins in human serum
Tiambeng, T. N., Roberts, D. S., Brown, K. A., Zhu, Y., Chen, B., Wu, Z., Mitchell, S. D., Guardado-Alvarez, T. M., Jin, S., & Ge, Y. (2020) · Nature Communications · doi:10.1038/s41467-020-17643-1 · Cited by 76
Biofunctionalization of Multiplexed Silicon Photonic Biosensors
Puumala, L. S., Grist, S. M., Morales, J. M., Bickford, J. R., Chrostowski, L., Shekhar, S., & Cheung, K. C. (2022) · Biosensors · doi:10.3390/bios13010053 · Cited by 55
Drug Delivery Based on Nanotechnology for Target Bone Disease
Yang, X., Chen, S., Liu, X., Yu, M., & Liu, X. (2019) · Current Drug Delivery · doi:10.2174/1567201816666190917123948 · Cited by 15
Metadata
- Authors
- Wang, T., Chen, C., Larcher, L. M., Barrero, R. A., & Veedu, R. N.
- Venue
- Biotechnology Advances
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 37
- Issue
- 1
- Pages
- 28-50
- ISSN
- 0734-9750 (ISSN-L)
- OpenAlex
- W2982242066
- Cited by
- 525
- References
- 6
- FWCI
- 12.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Wang, T., Chen, C., Larcher, L. M., Barrero, R. A., & Veedu, R. N. (2019). Three decades of nucleic acid aptamer technologies: Lessons learned, progress and opportunities on aptamer development. Biotechnology Advances. https://doi.org/10.1016/j.biotechadv.2018.11.001
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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