• Title/Summary/Keyword: Aptamer

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Aptamers as Functional Nucleic Acids: in vitro Selection and Biotechnological Applications

  • You, Kyung-Man;Lee, Sang-Hyun;Aesul Im;Lee, Sun-Bok
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.8 no.2
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    • pp.64-75
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    • 2003
  • Aptamers are functional nucleic acids that can specially bind to proteins, peptides, amino acids. nucleotides, drugs, vitamins and other organic and inorganic compounds. The aptamers are identified from random DNA or RNA libraries by a SELEX (systematic evolution of ligands by exponential amplification) process. As aptamers have the advantage, and potential ability to be released from the limitations of antibodies, they are attractive to a wide range of therapeutic and diagnostic applications. Aptamers, with a high-affinity and specificity, could fulfil molecular the recognition needs of various fields in biotechnology. In this work, we reviewed some aptamer Selection techniques, properties, medical applications of their molecules and their biotechnological applications, such as ELONA (enzyme linked oligonucleotide assay), flow cytometry, biosensors, electrophoresis, chromatography and microarrays.

Therapeutic aptamers: developmental potential as anticancer drugs

  • Lee, Ji Won;Kim, Hyun Jung;Heo, Kyun
    • BMB Reports
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    • v.48 no.4
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    • pp.234-237
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    • 2015
  • Aptamers, composed of single-stranded DNA or RNA oligonucleotides that interact with target molecules through a specific three-dimensional structure, are selected from pools of combinatorial oligonucleotide libraries. With their high specificity and affinity for target proteins, ease of synthesis and modification, and low immunogenicity and toxicity, aptamers are considered to be attractive molecules for development as anticancer therapeutics. Two aptamers - one targeting nucleolin and a second targeting CXCL12 - are currently undergoing clinical trials for treating cancer patients, and many more are under study. In this mini-review, we present the current clinical status of aptamers and aptamer-based cancer therapeutics. We also discuss advantages, limitations, and prospects for aptamers as cancer therapeutics. [BMB Reports 2015; 48(4): 234-237]

Analysis of In Vivo Interaction of HCV NS3 Protein and Specific RNA Aptamer with Yeast Three-Hybrid System

  • HWANG BYOUNGHOON;LEE SEONG-WOOK
    • Journal of Microbiology and Biotechnology
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    • v.15 no.3
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    • pp.660-664
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    • 2005
  • We have previously isolated specific RNA aptamers with high affinity against the helicase domain of hepatitis C virus (HCV) nonstructural protein 3 (NS3). The RNA aptamers competitively and efficiently inhibited the helicase activity, partially impeding HCV replicon replication in human hepatocarcinoma cells. In this study, the RNA aptamers were tested for binding to the HCV NS3 proteins in eukaryotic cells, using a yeast three-hybrid system. The aptamers were then recognized by the HCV NS3 proteins when expressed in the cells, while the antisense sequences of the aptamers were not. These results suggest that the in vitro selected RNA aptamers can also specifically bind to the target proteins in vivo. Consequently, they could be potentially utilized as anti-HCV lead compounds.

Combination of Doxorubicin with Gemcitabine-Incorporated G-Quadruplex Aptamer Showed Synergistic and Selective Anticancer Effect in Breast Cancer Cells

  • Joshi, Mili;Choi, Jong-Soo;Park, Jae-Won;Doh, Kyung-Oh
    • Journal of Microbiology and Biotechnology
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    • v.29 no.11
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    • pp.1799-1805
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    • 2019
  • Doxorubicin (DOX) is one of the most effective anticancer agents used for the treatment of multiple cancers; however, its use is limited by its short half-life and adverse drug reactions, especially cardiotoxicity. In this study, we found that the conjugate of DOX with APTA12 (Gemcitabine incorporated G-quadruplex aptamer) was significantly more cancer selective and cytotoxic than DOX. The conjugate had an affinity for nucleolin, with higher uptake and retention into the cancer cells than those of DOX. Further, it was localized to the nucleus, which is the target site of DOX. Owing to its mechanism of action, DOX has the ability to intercalate into the nucleotides thus making it a suitable drug to form a conjugate with cancer selective aptamers such as APTA12. The conjugation can lead to selectively accumulate in the cancer cells thus decreasing its potential nonspecific as well as cardiotoxic side effects. The aim of this study was to prepare a conjugate of DOX with APTA12 and assess the chemotherapeutic properties of the conjugate specific to cancer cells. The DOX-APTA12 conjugate was prepared by incubation and its cytotoxicity in MCF-10A (non-cancerous mammary cells) and MDA-MB-231 (breast cancer cells) was assessed. The results indicate that DOX-APTA12 conjugate is a potential option for chemotherapy especially for nucleolin expressing breast cancer with reduced doxorubicin associated side effects.

The Developement of Liver cancer Vital Sign Information Prediction System using Aptamer Protein Biochip (압타머 단백질 바이오칩을 이용한 간암 진단 생체 정보 예측 시스템 개발)

  • Kim, Gwang-Jun;Lee, Hyoung-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.6
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    • pp.965-971
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    • 2011
  • As the liver cancer in our country cancerous occurrence frequency to be the gastric cancer in the common cancer, If the case which will be discovered in early rising the treatment record was considered seriously about under the early detection. The system which it sees with the system for the early detection of the liver cancer reacts the blood of the control group other than the patient who is confirmed as the liver cancer and the liver cancer to the biochip and aptamer protein biochip profiles mechanical studying leads and it is a system which it classifies. 1149 each other it reacted blood samples of the control group other than the liver cancer patient who is composed of the total 85 samples and the liver cancer which is composed of 310 samples to the biochip which is composed with different oligo from the present paper and it was a data which it makes acquire worker the neural network it led and it analyzes the classification efficiency of the result 95.38 ~ 97.95% which it was visible.