Literature DB >> 35420426

Systematic Review of Aptamer Sequence Reporting in the Literature Reveals Widespread Unexplained Sequence Alterations.

Alexandra A Miller1, Abhijit S Rao1, Sujana R Nelakanti1, Christopher Kujalowicz1, Ted Shi1, Ted Rodriguez1, Andrew D Ellington2,3, Gwendolyn M Stovall1,4.   

Abstract

Aptamers have been the subject of more than 144 000 papers to date. However, there has been a growing concern that discrepancies in the reporting of aptamer research limit the reliability of these reagents for research and other applications. These observations noting inconsistencies in the use of our RNA antilysozyme aptamer served as an impetus for our systematic review of the reporting of aptamer sequences in the literature. Our detailed examination of the literature citing the RNA antilysozyme aptamer revealed that 93% of the 61 publications reviewed reported unexplained altered sequences with 96% of those using DNA variants. The 10 most cited aptamers were examined using a standardized methodology in order to categorize the extent to which the sequences themselves and altered sequences were adequately described in the literature. Our review of 780 aptamer publications spanned decades, multiple journals, and research groups and revealed that 41% of the papers reported unexplained sequence alterations or omitted sequences. We identified 10 common categories of sequence alterations including deletions, substitutions, and additions, among others. Overall, our findings can be used as a starting point for building better practices in author submissions and publication standards, elevating the rigor and reproducibility of aptamer research.

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Year:  2022        PMID: 35420426      PMCID: PMC9179646          DOI: 10.1021/acs.analchem.1c04407

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   8.008


  17 in total

1.  Automated selection of anti-protein aptamers.

Authors:  J C Cox; A D Ellington
Journal:  Bioorg Med Chem       Date:  2001-10       Impact factor: 3.641

2.  Mfold web server for nucleic acid folding and hybridization prediction.

Authors:  Michael Zuker
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

3.  Aptamer-based sensor arrays for the detection and quantitation of proteins.

Authors:  Romy Kirby; Eun Jeong Cho; Brian Gehrke; Travis Bayer; Yoon Sok Park; Dean P Neikirk; John T McDevitt; Andrew D Ellington
Journal:  Anal Chem       Date:  2004-07-15       Impact factor: 6.986

4.  Systematic evolution of ligands by exponential enrichment: RNA ligands to bacteriophage T4 DNA polymerase.

Authors:  C Tuerk; L Gold
Journal:  Science       Date:  1990-08-03       Impact factor: 47.728

5.  In vitro selection of RNA molecules that bind specific ligands.

Authors:  A D Ellington; J W Szostak
Journal:  Nature       Date:  1990-08-30       Impact factor: 49.962

6.  Technical and biological issues relevant to cell typing with aptamers.

Authors:  Na Li; Jessica N Ebright; Gwendolyn M Stovall; Xi Chen; Hong Hanh Nguyen; Amrita Singh; Angel Syrett; Andrew D Ellington
Journal:  J Proteome Res       Date:  2009-05       Impact factor: 4.466

Review 7.  Aptamers as Therapeutic Agents: Has the Initial Euphoria Subsided?

Authors:  S K Haßel; G Mayer
Journal:  Mol Diagn Ther       Date:  2019-06       Impact factor: 4.074

Review 8.  Aptamer-Mediated Delivery and Cell-Targeting Aptamers: Room for Improvement.

Authors:  Amy C Yan; Matthew Levy
Journal:  Nucleic Acid Ther       Date:  2018-06       Impact factor: 5.486

9.  Development of a label-free aptasensor for monitoring the self-association of lysozyme.

Authors:  Alina Vasilescu; Szilveszter Gaspar; Iuliana Mihai; Andreia Tache; Simona Carmen Litescu
Journal:  Analyst       Date:  2013-05-13       Impact factor: 4.616

10.  Versatile SPR aptasensor for detection of lysozyme dimer in oligomeric and aggregated mixtures.

Authors:  Alina Vasilescu; Cristina Purcarea; Elena Popa; Medana Zamfir; Iuliana Mihai; Simona Litescu; Sorin David; Szilveszter Gaspar; Mihaela Gheorghiu
Journal:  Biosens Bioelectron       Date:  2016-04-23       Impact factor: 10.618

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