Evidence map›Paper›PMID 24779017›Full record

ArticleBioMed research international2014

New strategies for evaluation and analysis of SELEX experiments.

Rico Beier, Elke Boschke, Dirk Labudde

Abstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Aptamers for Viral Detection and Inhibition.ACS infectious diseases · 2022
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Aptamers in analytics.The Analyst · 2016
    Review
  11. Article
  12. Article
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

3 authors.

Rico BeierBioinformatics Group, Department of Mathematics, Natural and Computer Sciences, University of Applied Sciences Mittweida, 09648 Mittweida, Germany.ORCID 0000-0003-3353-5039
Elke BoschkeInstitute of Food Technology and Bioprocess Engineering, Department of Mechanical Engineering, Dresden University of Technology, 01062 Dresden, Germany.
Dirk LabuddeBioinformatics Group, Department of Mathematics, Natural and Computer Sciences, University of Applied Sciences Mittweida, 09648 Mittweida, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aptamers are an interesting alternative to antibodies in pharmaceutics and biosensorics, because they are able to bind to a multitude of possible target molecules with high affinity. Therefore the process of finding such aptamers, which is commonly a SELEX screening process, becomes crucial. The standard SELEX procedure schedules the validation of certain found aptamers via binding experiments, which is not leading to any detailed specification of the aptamer enrichment during the screening. For the purpose of advanced analysis of the accrued enrichment within the SELEX library we used sequence information gathered by next generation sequencing techniques in addition to the standard SELEX procedure. As sequence motifs are one possibility of enrichment description, the need of finding those recurring sequence motifs corresponding to substructures within the aptamers, which are characteristically fitted to specific binding sites of the target, arises. In this paper a motif search algorithm is presented, which helps to describe the aptamers enrichment in more detail. The extensive characterization of target and binding aptamers may later reveal a functional connection between these molecules, which can be modeled and used to optimize future SELEX runs in case of the generation of target-specific starting libraries.

Indexed as

Nucleic Acid ConformationAptamers, NucleotideBinding SitesCapsid ProteinsHigh-Throughput Nucleotide SequencingNorovirusNucleotide MotifsSELEX Aptamer TechniqueAptamers, NucleotideCapsid Proteins

Identifiers

PMID24779017
PMCPMC3977542

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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.