Literature DB >> 20077028

A mathematical analysis of multiple-target SELEX.

Yeon-Jung Seo1, Shiliang Chen, Marit Nilsen-Hamilton, Howard A Levine.   

Abstract

SELEX (Systematic Evolution of Ligands by Exponential Enrichment) is a procedure by which a mixture of nucleic acids can be fractionated with the goal of identifying those with specific biochemical activities. One combines the mixture with a specific target molecule and then separates the target-NA complex from the resulting reactions. The target-NA complex is separated from the unbound NA by mechanical means (such as by filtration), the NA is eluted from the complex, amplified by PCR (polymerase chain reaction), and the process repeated. After several rounds, one should be left with the nucleic acids that best bind to the target. The problem was first formulated mathematically in Irvine et al. (J. Mol. Biol. 222:739-761, 1991). In Levine and Nilsen-Hamilton (Comput. Biol. Chem. 31:11-25, 2007), a mathematical analysis of the process was given. In Vant-Hull et al. (J. Mol. Biol. 278:579-597, 1998), multiple target SELEX was considered. It was assumed that each target has a single nucleic acid binding site that permits occupation by no more than one nucleic acid. Here, we revisit Vant-Hull et al. (J. Mol. Biol. 278:579-597, 1998) using the same assumptions. The iteration scheme is shown to be convergent and a simplified algorithm is given. Our interest here is in the behavior of the multiple target SELEX process as a discrete "time" dynamical system. Our goal is to characterize the limiting states and their dependence on the initial distribution of nucleic acid and target fraction components. (In multiple target SELEX, we vary the target component fractions, but not their concentrations, as fixed and the initial pool of nucleic acids as a variable starting condition). Given N nucleic acids and a target consisting of M subtarget component species, there is an M × N matrix of affinities, the (i,j) entry corresponding to the affinity of the jth nucleic acid for the ith subtarget. We give a structure condition on this matrix that is equivalent to the following statement: For any initial pool of nucleic acids such that all N species are represented, the dynamical system defined by the multiple target SELEX process will converge to a unique subset of nucleic acids, each of whose concentrations depend only upon the total nucleic acid concentration, the initial fractional target distribution (both of which are assumed to be the same from round to round), and the overall limiting association constant. (The overall association constant is the equilibrium constant for the system of MN reactions when viewed as a composite single reaction). This condition is equivalent to the statement that every member of a certain family of chemical potentials at infinite target dilution can have at most one critical point. (The condition replaces the statement for single target SELEX that the dynamical system generated via the process always converges to a pool that contains only the nucleic acid that binds best to the target). This suggests that the effectiveness of multiple target SELEX as a separation procedure may not be as useful as single target SELEX unless the thermodynamic properties of these chemical potentials are well understood.

Mesh:

Substances:

Year:  2010        PMID: 20077028     DOI: 10.1007/s11538-009-9491-x

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  7 in total

Review 1.  Aptamers in analytics.

Authors:  Muslum Ilgu; Marit Nilsen-Hamilton
Journal:  Analyst       Date:  2016-03-07       Impact factor: 4.616

2.  Understanding key features of bacterial restriction-modification systems through quantitative modeling.

Authors:  Andjela Rodic; Bojana Blagojevic; Evgeny Zdobnov; Magdalena Djordjevic; Marko Djordjevic
Journal:  BMC Syst Biol       Date:  2017-02-24

Review 3.  Aptamer in bioanalytical applications.

Authors:  Anton B Iliuk; Lianghai Hu; W Andy Tao
Journal:  Anal Chem       Date:  2011-05-05       Impact factor: 6.986

4.  Heuristic algorithms in evolutionary computation and modular organization of biological macromolecules: Applications to in vitro evolution.

Authors:  Alexander V Spirov; Ekaterina M Myasnikova
Journal:  PLoS One       Date:  2022-01-27       Impact factor: 3.240

Review 5.  Progress and Challenges in Developing Aptamer-Functionalized Targeted Drug Delivery Systems.

Authors:  Feng Jiang; Biao Liu; Jun Lu; Fangfei Li; Defang Li; Chao Liang; Lei Dang; Jin Liu; Bing He; Shaikh Atik Badshah; Cheng Lu; Xiaojuan He; Baosheng Guo; Xiao-Bing Zhang; Weihong Tan; Aiping Lu; Ge Zhang
Journal:  Int J Mol Sci       Date:  2015-10-09       Impact factor: 5.923

6.  Coordinated regulation of acid resistance in Escherichia coli.

Authors:  Patricia Aquino; Brent Honda; Suma Jaini; Anna Lyubetskaya; Krutika Hosur; Joanna G Chiu; Iriny Ekladious; Dongjian Hu; Lin Jin; Marianna K Sayeg; Arion I Stettner; Julia Wang; Brandon G Wong; Winnie S Wong; Stephen L Alexander; Cong Ba; Seth I Bensussen; David B Bernstein; Dana Braff; Susie Cha; Daniel I Cheng; Jang Hwan Cho; Kenny Chou; James Chuang; Daniel E Gastler; Daniel J Grasso; John S Greifenberger; Chen Guo; Anna K Hawes; Divya V Israni; Saloni R Jain; Jessica Kim; Junyu Lei; Hao Li; David Li; Qian Li; Christopher P Mancuso; Ning Mao; Salwa F Masud; Cari L Meisel; Jing Mi; Christine S Nykyforchyn; Minhee Park; Hannah M Peterson; Alfred K Ramirez; Daniel S Reynolds; Nae Gyune Rim; Jared C Saffie; Hang Su; Wendell R Su; Yaqing Su; Meng Sun; Meghan M Thommes; Tao Tu; Nitinun Varongchayakul; Tyler E Wagner; Benjamin H Weinberg; Rouhui Yang; Anastasia Yaroslavsky; Christine Yoon; Yanyu Zhao; Alicia J Zollinger; Anne M Stringer; John W Foster; Joseph Wade; Sahadaven Raman; Natasha Broude; Wilson W Wong; James E Galagan
Journal:  BMC Syst Biol       Date:  2017-01-06

7.  Influence of target concentration and background binding on in vitro selection of affinity reagents.

Authors:  Jinpeng Wang; Joseph F Rudzinski; Qiang Gong; H Tom Soh; Paul J Atzberger
Journal:  PLoS One       Date:  2012-08-28       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.