| Literature DB >> 32585627 |
Mayte Sola1, Ashwathi Puravankara Menon1, Beatriz Moreno1, Daniel Meraviglia-Crivelli1, Mario Martínez Soldevilla1, Fernando Cartón-García1, Fernando Pastor2.
Abstract
Targeted therapeutics underwent a revolution with the entry of monoclonal antibodies in the medical toolkit. Oligonucleotide aptamers form another family of target agents that have been lagging behind in reaching the clinical arena in spite of their potential clinical translation. Some of the reasons for this might be related to the challenge in identifying aptamers with optimal in vivo specificity, and the nature of their pharmacokinetics. Aptamers usually show exquisite specificity, but they are also molecules that display dynamic structures subject to changing environments. Temperature, ion atmosphere, pH, and other variables are factors that could determine the affinity and specificity of aptamers. Thus, it is important to tune the aptamer selection process to the conditions in which you want your final aptamer to function; ideally, for in vivo applications, aptamers should be selected in an in vivo-like system or, ultimately, in a whole in vivo organism. In this review we recapitulate the implementations in systematic evolution of ligands by exponential enrichment (SELEX) to obtain aptamers with the best in vivo activity.Entities:
Year: 2020 PMID: 32585627 PMCID: PMC7321788 DOI: 10.1016/j.omtn.2020.05.025
Source DB: PubMed Journal: Mol Ther Nucleic Acids ISSN: 2162-2531 Impact factor: 8.886
List of Aptamers Selected for In Vivo Applications
| Name | Aptamer Target | Selection Method | Application | Sequence | Reference |
|---|---|---|---|---|---|
| N55 | inflamed endothelial cells | stimulus-response cell-SELEX (SRC-SELEX) | atherosclerosis plaque detection | 5′-ATACCAGCTTATTCAATTCC | Ji et al. |
| GBI-10 | tenascin-C | cell-SELEX | diagnosis and treatment delivery in several types of tumors | 5′-GCCTGTTGTGAGCCTCCTCCC | Daniels et al. |
| SQ-2 | ALPPL-2 | cell-SELEX | identification of novel biomarkers for PDAC early diagnosis | 5′-AUACCAGCUUAUUCAAUUGCC | Dua et al. |
| NK2 | H37Rv strain of MTB | cell-SELEX | tuberculosis treatment | 5′-GCGGGATCCTATGACGCATTGACCCA | Chen et al. |
| G-3 | CCR5 | cell-SELEX and HTS combination | HIV infection blockade | 5′-UAAUACGACUCACUAUAGGGAGG | Zhou et al. |
| P30-10-16 | HA of influenza B virus | influenza B virus infection blockade | 5′-GGGAGAAUUCCGACCAGAAGAUUAUG | Gopinath et al. | |
| A07 | TGFBR3 | TECS-SELEX | inhibition of the interaction between TGFBR3 and TGF-β2 | 5′-GGGCCAGGCAGCGAGAGAUAAGCAGAA | Ohuchi et al. |
| MRP1Apt (3) | MRP1 | peptide-SELEX and cell-SELEX | tumor cell targeting for treatment delivery | 5′-GGGAGAGGGAGAAUAGUCAACAAAUCGU | Soldevilla et al. |
| Apt02 | ITGAV | Icell-SELEX | discovery of ligands for pharmaceutically challenging targets | 5′-GGGAUCCGCAUCUAGAGUACUCCUCAG | Takahashi et al. |
| Sgc8 | PTK7 | cell-internalized SELEX | targeting ALL cells for drug delivery | 5′-ATCTAACTGCTGCGCCGCCGGGAA | Xiao et al. |
| A1 | HER2 | cell-internalized SELEX | targeting HER2-positive breast cancer cells | 5′-GGGAGGACGAUGCGGGACUGUACG | Thiel et al. |
| J7 | CD3ε | LIGS | expansion of T cell repertoire | 5′-AAGGAGCAGCGTGGAGGATATCGGTAA | Zumrut et al. |
| RNA 14-16 | p68 oncogenic helicase | whole-organism | localization of metastasis in the liver | 5′-GGGAGGACGATGCGGCAGUGCCCAA | Mi et al. |
| PB | activated endothelial cells | whole-organism | identification of bone metastases in prostate cancer | 5′-CTCTATTGATGCCTGCGTGCGTGC | Chen et al. |
| GL21.T | Axl | cell-SELEX | treatment of Axl-dependent cancers | 5′-AUGAUCAAUCGCCUCAAUUCGACAG | Cerchia et al. |
Figure 1Depiction of the Steps of Conventional Systematic Evolution of Ligands by Exponential Enrichment (SELEX)
Figure 2Sequential Steps in Cell-SELEX
Figure 3Whole-Organism In Vivo SELEX