Literature DB >> 27109058

Improving the odds: Influence of starting pools on in vitro selection outcomes.

Kelsey Pobanz1, Andrej Lupták2.   

Abstract

As with any outcome of an evolutionary process, the success of in vitro selection experiments depends critically on the starting population. In vitro selections isolate functional nucleic acids that fold into specific structures and form unique binding and catalytic sites. The selection outcomes therefore depend on the molecular and structural diversity of the initial pools. In addition, the experiments are strongly influenced by the length of the starting pool. Longer randomized regions support the formation of more complex structures and presumably allow formation of more intricate tertiary interactions, but they also tend to misfold and aggregate, whereas shorter pools are sufficient to yield simpler motifs. Furthermore, introducing a sequence bias that promotes secondary structure formation appears to prejudice the population towards more functional macromolecules. We review the literature on the influence of the starting pools on the predicted and actual outcomes of laboratory evolution experiments.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aptamer; Genotype; In vitro selection; Molecular evolution; Phenotype; Ribozyme; SELEX

Mesh:

Substances:

Year:  2016        PMID: 27109058      PMCID: PMC5775183          DOI: 10.1016/j.ymeth.2016.04.021

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  74 in total

1.  A complex ligase ribozyme evolved in vitro from a group I ribozyme domain.

Authors:  L Jaeger; M C Wright; G F Joyce
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-21       Impact factor: 11.205

2.  Global similarities in nucleotide base composition among disparate functional classes of single-stranded RNA imply adaptive evolutionary convergence.

Authors:  E Schultes; P T Hraber; T H LaBean
Journal:  RNA       Date:  1997-07       Impact factor: 4.942

3.  In vitro evolution of a self-alkylating ribozyme.

Authors:  C Wilson; J W Szostak
Journal:  Nature       Date:  1995-04-27       Impact factor: 49.962

4.  The RNA moiety of ribonuclease P is the catalytic subunit of the enzyme.

Authors:  C Guerrier-Takada; K Gardiner; T Marsh; N Pace; S Altman
Journal:  Cell       Date:  1983-12       Impact factor: 41.582

5.  A DNA enzyme that cleaves RNA.

Authors:  R R Breaker; G F Joyce
Journal:  Chem Biol       Date:  1994-12

6.  Small RNA-divalent domains.

Authors:  J Ciesiolka; M Yarus
Journal:  RNA       Date:  1996-08       Impact factor: 4.942

7.  Enhanced functional potential of nucleic acid aptamer libraries patterned to increase secondary structure.

Authors:  Karen M Ruff; Thomas M Snyder; David R Liu
Journal:  J Am Chem Soc       Date:  2010-07-14       Impact factor: 15.419

8.  Isolation of new ribozymes from a large pool of random sequences [see comment].

Authors:  D P Bartel; J W Szostak
Journal:  Science       Date:  1993-09-10       Impact factor: 47.728

9.  In vitro evolution of new ribozymes with polynucleotide kinase activity.

Authors:  J R Lorsch; J W Szostak
Journal:  Nature       Date:  1994-09-01       Impact factor: 49.962

10.  Aptamers selected for higher-affinity binding are not more specific for the target ligand.

Authors:  James M Carothers; Stephanie C Oestreich; Jack W Szostak
Journal:  J Am Chem Soc       Date:  2006-06-21       Impact factor: 15.419

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  4 in total

1.  Multiplex Aptamer Discovery through Apta-Seq and Its Application to ATP Aptamers Derived from Human-Genomic SELEX.

Authors:  Michael M Abdelsayed; Bao T Ho; Michael M K Vu; Julio Polanco; Robert C Spitale; Andrej Lupták
Journal:  ACS Chem Biol       Date:  2017-07-11       Impact factor: 5.100

Review 2.  Advances and Challenges in Small-Molecule DNA Aptamer Isolation, Characterization, and Sensor Development.

Authors:  Haixiang Yu; Obtin Alkhamis; Juan Canoura; Yingzhu Liu; Yi Xiao
Journal:  Angew Chem Int Ed Engl       Date:  2021-02-09       Impact factor: 15.336

Review 3.  Key Aspects of Nucleic Acid Library Design for in Vitro Selection.

Authors:  Maria A Vorobyeva; Anna S Davydova; Pavel E Vorobjev; Alya G Venyaminova
Journal:  Int J Mol Sci       Date:  2018-02-05       Impact factor: 5.923

4.  Machine learning guided aptamer refinement and discovery.

Authors:  Ali Bashir; Qin Yang; Jinpeng Wang; Stephan Hoyer; Wenchuan Chou; Cory McLean; Geoff Davis; Qiang Gong; Zan Armstrong; Junghoon Jang; Hui Kang; Annalisa Pawlosky; Alexander Scott; George E Dahl; Marc Berndl; Michelle Dimon; B Scott Ferguson
Journal:  Nat Commun       Date:  2021-04-22       Impact factor: 14.919

  4 in total

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