Evidence map›Paper›PMID 23515081›Full record

ArticleBioResearch open access2012

Cell-SELEX Technology.

Shoji Ohuchi

Abstract read
In one paragraph

Article in BioResearch open access, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Article
  2. Aptamers in Osteosarcoma: New Paths for Diagnosis and Treatment.Anti-cancer agents in medicinal chemistry · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Aptamer and DNAzyme Based Colorimetric Biosensors for Pathogen Detection.Angewandte Chemie (International ed. in English) · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Current RNA strategies in treating cardiovascular diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Review
  15. Article
  16. Generation of Specific Aptamers.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  17. Aptamers: precision tools for diagnosing and treating infectious diseases.Frontiers in cellular and infection microbiology · 2024
    Review
  18. Review
  19. Review
  20. Next Generation of Ovarian Cancer Detection Using Aptamers.International journal of molecular sciences · 2023
    Article

4 more citing papers are in PubMed but not listed here.

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

1 author.

Shoji OhuchiDepartment of Basic Medical Sciences, Institute of Medical Science, University of Tokyo , Tokyo, Japan .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aptamers are molecules identified from large combinatorial nucleic acid libraries by their high affinity to target molecules. Due to a variety of desired properties, aptamers are attractive alternatives to antibodies in molecular biology and medical applications. Aptamers are identified through an iterative selection-amplification process known as systematic evolution of ligands by exponential enrichment (SELEX). Although SELEX is typically carried out using purified target molecules, whole live cells are also employable as selection targets. This technology, Cell-SELEX, has several advantages. For example, generated aptamers are functional with a native conformation of the target molecule on live cells, and thus, cell surface transmembrane proteins would be targets even when their purifications in native conformations are difficult. In addition, cell-specific aptamers can be obtained without any knowledge about cell surface molecules on the target cells. Here, I review the progress of Cell-SELEX technology and discuss advantages of the technology.

Indexed as

biomarkerscancer researchnucleic acidsstem cells

Identifiers

PMID23515081
PMCPMC3559206

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.