Literature DB >> 31196711

In vitro selection of aptamer S1 against MCF-7 human breast cancer cells.

Wei-Yun Zhang1, Hong-Li Chen2, Quan-Cheng Chen3.   

Abstract

Breast cancer is the most common female cancer. However, the known effective specific biomarkers for breast cancer are still scarce. Abnormal membrane proteins serve as ideal biomarkers for disease diagnoses, therapeutics and prognosis. Thus aptamers (single-stranded oligonucleotide molecules) with molecular recognition properties can be used as efficient tools to sort cells based on differences in cell surface architecture between normal and tumor cells. In this study, we aimed to screen specific aptamer against MCF-7 human breast cancer cells. Cell-SELEX process was performed to isolate aptamers from a combinatorial single-stranded nucleic acid library that selectively targeting surface proteins of MCF-7 cells in contrast with MCF-10A human mammary epithelial cells. The process was repeated until the pool was enriched for sequences that specifically recognizing MCF-7 cells in monitoring by flow cytometry. Subsequently, the enriched pool was cloned into bacteria, and positive clones were sequenced to obtain individual sequences. Representative sequences were chemically synthesized and evaluated their binding affinities to MCF-7 cells. As a result, an aptamer S1 was finally identified to have high binding affinity with equilibrium dissociation constant (Kd) value of 29.9 ± 6.0 nM. FAM-labeled aptamer S1 induced fluorescence shift in MCF-7 cells but not in MCF-10A human mammary epithelial cells, or MDA-MB-453 and MDA-MB-231 human breast cancer cells. Furthermore, result of cell imaging observed from laser confocal fluorescence microscope showed that MCF-7 cells exhibited stronger fluorescence signal resulted from Cy5-labeled aptamer S1 than MCF-10A cells. The above findings suggested that S1 may be a specificity and selectivity aptamer for MCF-7 cells and useful for the breast cancer detection and diagnosis.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aptamer; Breast cancer; Disease diagnoses; MCF-7 cell; Selection

Mesh:

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Year:  2019        PMID: 31196711     DOI: 10.1016/j.bmcl.2019.06.002

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  3 in total

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Authors:  Xian-Hui Zhang; Wei Wang; Xin Chen
Journal:  J Clin Lab Anal       Date:  2021-02-01       Impact factor: 2.352

2.  Improving Breast Cancer Treatment Specificity Using Aptamers Obtained by 3D Cell-SELEX.

Authors:  Frank H T Nelissen; Wenny J M Peeters; Timo P Roelofs; Anika Nagelkerke; Paul N Span; Hans A Heus
Journal:  Pharmaceuticals (Basel)       Date:  2021-04-09

3.  Selection and Characterization of ssDNA Aptamers Targeting Largemouth Bass Virus Infected Cells With Antiviral Activities.

Authors:  Qing Yu; Mengmeng Li; Mingzhu Liu; Shuaishuai Huang; Gaoxue Wang; Taixia Wang; Pengfei Li
Journal:  Front Microbiol       Date:  2021-12-17       Impact factor: 5.640

  3 in total

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