Evidence map›Paper›PMID 25870409›Full record

ArticleNucleic acids research2015

Large scale analysis of the mutational landscape in HT-SELEX improves aptamer discovery.

Jan Hoinka, Alexey Berezhnoy, Phuong Dao, Zuben E Sauna, Eli Gilboa, Teresa M Przytycka

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed.

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  15. Aptasensor for the Detection ofBioengineering (Basel, Switzerland) · 2023
    Article
  16. Aptamer-Based Tumor-Targeted Diagnosis and Drug Delivery.Advances in experimental medicine and biology · 2023
    Review
  17. Article
  18. Review
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jan HoinkaNational Center of Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA.
Alexey BerezhnoyDepartment of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, FL 33101, USA.
Phuong DaoNational Center of Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA.
Zuben E SaunaLaboratory of Hemostasis, Division of Hematology, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993, USA.
Eli GilboaDepartment of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, FL 33101, USA.
Teresa M PrzytyckaNational Center of Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894, USA przytyck@ncbi.nlm.nih.gov.

Funding

Combinatorial and graph theoretical approach to systems biology and mol. evo.ZIALM200887 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PRZYTYCKA, TERESA · 2009 to 2025
$24.4M
6 · The paper itself

Abstract

High-Throughput (HT) SELEX combines SELEX (Systematic Evolution of Ligands by EXponential Enrichment), a method for aptamer discovery, with massively parallel sequencing technologies. This emerging technology provides data for a global analysis of the selection process and for simultaneous discovery of a large number of candidates but currently lacks dedicated computational approaches for their analysis. To close this gap, we developed novel in-silico methods to analyze HT-SELEX data and utilized them to study the emergence of polymerase errors during HT-SELEX. Rather than considering these errors as a nuisance, we demonstrated their utility for guiding aptamer discovery. Our approach builds on two main advancements in aptamer analysis: AptaMut-a novel technique allowing for the identification of polymerase errors conferring an improved binding affinity relative to the 'parent' sequence and AptaCluster-an aptamer clustering algorithm which is to our best knowledge, the only currently available tool capable of efficiently clustering entire aptamer pools. We applied these methods to an HT-SELEX experiment developing aptamers against Interleukin 10 receptor alpha chain (IL-10RA) and experimentally confirmed our predictions thus validating our computational methods.

Indexed as

High-Throughput Nucleotide SequencingMutationSoftwareAlgorithmsAptamers, NucleotideComputer SimulationInterleukin-10 Receptor alpha SubunitModels, StatisticalMutagenesisSELEX Aptamer TechniqueAptamers, NucleotideInterleukin-10 Receptor alpha Subunit

Identifiers

PMID25870409
PMCPMC4499121

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.