Improving metal ion specificity during in vitro selection of catalytic DNA.

Autor: Bruesehoff PJ; Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA., Li J, Augustine AJ 3rd, Lu Y
Jazyk: angličtina
Zdroj: Combinatorial chemistry & high throughput screening [Comb Chem High Throughput Screen] 2002 Jun; Vol. 5 (4), pp. 327-35.
DOI: 10.2174/1386207023330264
Abstrakt: Metal ions play important roles in both the structure and function of catalytic DNA and RNA. While most natural catalytic RNA molecules (ribozymes) are active in solutions containing Mg(2+), in vitro selection makes it possible to search for new catalytic DNA/RNA that are specific for other metal ions. However, previous studies have indicated that the in vitro selection protocols often resulted in catalytic DNA/RNA that were equally active or sometimes even more active with metal ions other than the metal ion of choice. To improve the metal ion specificity during the in vitro selection process, we implemented a negative selection strategy where the nucleic acid pool was subjected to a solution containing competing metal ions. As a result, those nucleic acids that were active with those metal ions are discarded. To demonstrate the effectiveness of the negative selection strategy, we carried out two parallel in vitro selections of Co(2+)-dependent catalytic DNA. When no negative selection was used in the selection process, the resulting catalytic DNA molecules were more active in solutions of Zn(2+) and Pb(2+) than in Co(2+). On the other hand, when the negative selection steps were inserted between the normal positive selection steps, the resulting catalytic DNA molecules were much more active with Co(2+) than in other metal ions including Zn(2+) and Pb(2+). These results suggest strongly that in vitro selection can be used to obtain highly active and specific transition metal ion-dependent catalytic DNA/RNA, which hold great promise as versatile and efficient endonucleases as well as sensitive and selective metal ion sensors.
Databáze: MEDLINE