Evidence map›Paper›PMID 21769099›Full record

ReviewNature chemical biology2011

Aptamers for allosteric regulation.

Jan L Vinkenborg, Nora Karnowski, Michael Famulok

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature chemical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
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

56 citing papers in PubMed, 185 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Logic Gates Based on DNA Aptamers.Pharmaceuticals (Basel, Switzerland) · 2020
    Review
  16. Imaginary Ribozymes.ACS chemical biology · 2020
    Article
  17. Mirror-Image Oligonucleotides: History and Emerging Applications.Chemistry (Weinheim an der Bergstrasse, Germany) · 2019
    Review
  18. Article
  19. Review
  20. In vivo biosensors: mechanisms, development, and applications.Journal of industrial microbiology & biotechnology · 2018
    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 at 1 institution in 1 country.

Jan L VinkenborgLife & Medical Sciences Institute, Chemical Biology & Medicinal Chemistry Unit, Laboratory of Chemical Biology, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
Nora Karnowski
Michael Famulok
University of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aptamers are useful for allosteric regulation because they are nucleic acid-based structures in which ligand binding induces conformational changes that may alter the function of a connected oligonucleotide at a distant site. Through this approach, a specific input is efficiently converted into an altered output. This property makes these biomolecules ideally suited to function as sensors or switches in biochemical assays or inside living cells. The ability to select oligonucleotide-based recognition elements in vitro in combination with the availability of nucleic acids with enzymatic activity has led to the development of a wide range of engineered allosteric aptasensors and aptazymes. Here, we discuss recent progress in the screening, design and diversity of these conformational switching oligonucleotides. We cover their application in vitro and for regulating gene expression in both prokaryotes and eukaryotes.

Indexed as

Computers, MolecularProtein EngineeringAllosteric RegulationAptamers, NucleotideGene Expression RegulationAptamers, Nucleotide

Identifiers

PMID21769099
OpenAlexW2073582321

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.