scholarly journals 3SCA-03 High-affinity DNA aptamer selection by a genetic alphabet expansion PCR system(3SCA Frontier of functional nucleic acids toward elucidation of biological events and nucleic acid medicine,Symposium)

2013 ◽  
Vol 53 (supplement1-2) ◽  
pp. S103
Author(s):  
Michiko Kimoto ◽  
Ken-ichiro Matsunaga ◽  
Rie Yamashige ◽  
Ichiro Hirao
2020 ◽  
Vol 8 (16) ◽  
pp. 3213-3230
Author(s):  
Rudi Liu ◽  
Erin M. McConnell ◽  
Jiuxing Li ◽  
Yingfu Li

This article provides an extensive review of paper-based sensors that utilize functional nucleic acids, particularly DNA aptamers and DNAzymes, as recognition elements.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3471-3471
Author(s):  
Jennifer Whangbo ◽  
Marshall Thomas ◽  
Geoffrey McCrossan ◽  
Aaron Deutsch ◽  
Kimberly Martinod ◽  
...  

Abstract When released from cytotoxic T lymphocytes and natural killer cells, Granzyme (Gzm) serine proteases induce programmed cell death of pathogen-infected cells and tumor cells. The Gzms rapidly accumulate in the target cell nucleus by an unknown mechanism. Many of the known substrates of GzmA and GzmB, the most abundant killer cell proteases, bind to DNA or RNA. Gzm substrates predicted by unbiased proteomics studies are also highly enriched for nucleic acid binding proteins. Here we show by fluorescence polarization assays that Gzms bind DNA and RNA with nanomolar affinity. We hypothesized that Gzm binding to nucleic acids enhances nuclear accumulation in target cells and facilitates their cleavage of nucleic acid-binding substrates. In fact, RNase treatment of cell lysates reduced cleavage of RNA binding protein (RBP) targets by GzmA and GzmB. Moreover, adding RNA to recombinant RBP substrates greatly enhanced in vitro cleavage by GzmB, but adding RNA to non-nucleic acid binding proteins did not. For example, exogenous RNA enhanced GzmB cleavage of recombinant hnRNP C1 (an RBP) but not LMNB1 (a non-RBP). In addition, GzmB cleaved the RNA-binding HuR protein efficiently only when it was bound to an HuR-binding RNA oligonucleotide, but not in the presence of an equal amount of non-binding RNA. Thus, nucleic acids facilitate Gzm cleavage of nucleic acid binding substrates. To evaluate whether nucleic acid binding influences Gzm trafficking in target cells, we incubated fixed target cells with RNase and then added Gzms. RNA degradation in target cells reduced Gzm cytosolic localization and increased nuclear accumulation. Similarly, pre-incubating Gzms with exogenous competitor DNA reduced Gzm nuclear localization. The Gzms form a monophyletic clade with other immune serine proteases including neutrophil elastase (NE) and cathepsin G (CATG). Upon neutrophil activation, NE translocates to the nucleus to drive the formation of neutrophil extracellular traps (NETs). NE and CATG, but not non-immune serine proteases such as trypsin and pancreatic elastase, also bind DNA with high affinity and localize to the nucleus of permeabilized cells. Consistent with this finding, competitor DNA also blocks the nuclear localization of NE. Moreover NE and CATG localization to NETs depends on DNA binding. Thus the antimicrobial activity of NETs may depend in part upon the affinity of these proteases for DNA. Our findings indicate that high affinity nucleic acid binding is a conserved and functionally important property of serine proteases involved in cell-mediated immunity. Disclosures: Lieberman: Alnylam Pharmaceuticals: Membership on an entity’s Board of Directors or advisory committees.


2015 ◽  
Vol 2015 ◽  
pp. 1-31 ◽  
Author(s):  
Ka Lok Hong ◽  
Letha J. Sooter

Molecular recognition elements (MREs) can be short sequences of single-stranded DNA, RNA, small peptides, or antibody fragments. They can bind to user-defined targets with high affinity and specificity. There has been an increasing interest in the identification and application of nucleic acid molecular recognition elements, commonly known as aptamers, since they were first described in 1990 by the Gold and Szostak laboratories. A large number of target specific nucleic acids MREs and their applications are currently in the literature. This review first describes the general methodologies used in identifying single-stranded DNA (ssDNA) aptamers. It then summarizes advancements in the identification and biosensing application of ssDNA aptamers specific for bacteria, viruses, their associated molecules, and selected chemical toxins. Lastly, an overview of the basic principles of ssDNA aptamer-based biosensors is discussed.


2018 ◽  
Vol 7 (2) ◽  
pp. 46-60 ◽  
Author(s):  
Martina Traykovska ◽  
Sjoerd Miedema ◽  
Robert Penchovsky

This chapter describes how functional nucleic acids, such as aptamers, antisense oligonucleotides (ASOs), small interfering (si) RNAs, and ribozymes are considered by some researchers as valuable tools to develop therapeutic agents. They have not been particularly fast in reaching the market as medicines, due to endogenous barriers to extracellular trafficking and cellular uptake of nucleic acids and their inherent instability when applied in vivo. However, research carried out by the nucleic acid engineering community and pharmaceutical companies to circumvent these obstacles has led to the approval of a few aptamers and ASOs as drugs. Nucleic acid therapeutics are usually administered locally to diseased tissue. The drug candidates currently in clinical trials commonly use the same administration methods as previously licensed nucleic acid therapeutics. These administration techniques carry their own safety risks and advantages. In this article, the present state is discussed and prospective options for the use ASOs and aptamers as drugs are listed.


2021 ◽  
Author(s):  
Qin Yang ◽  
Ali Bashir ◽  
Jinpeng Wang ◽  
Stephan Hoyer ◽  
Wenchuan Chou ◽  
...  

Abstract Aptamers are single-stranded nucleic acid ligands that bind to target molecules with high affinity and specificity. They are typically discovered by searching large libraries for sequences with desirable binding properties. These libraries, however, are practically constrained to a fraction of the theoretical sequence space. Machine learning provides an opportunity to intelligently navigate this space to identify high-performing aptamers. Here, we present a step-by-step protocol for utilizing particle display to select DNA aptamers for a 25 kDa protein biomarker neutrophil gelatinase-associated lipocalin (NGAL).


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