Evidence map›Paper›PMID 25754968›Full record

ArticleAngewandte Chemie (International ed. in English)2015

Selective aptamer-based control of intraneuronal signaling.

Sabine Lennarz, Therese Christine Alich, Tony Kelly, Michael Blind, Heinz Beck, Günter Mayer

Open access · hybridAbstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Aptamers as Valuable Molecular Tools in Neurosciences.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Review
  7. Review
  8. Review
  9. Selective aptamer-based control of intraneuronal signaling.Angewandte Chemie (International ed. in English) · 2015
    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

6 authors at 2 institutions in 1 country.

Sabine LennarzLife and Medical Sciences Institute, University of Bonn, Gerhard-Domagk-Str. 1, Bonn (Germany).
Therese Christine Alich
Tony Kelly
Michael Blind
Heinz Beck
Günter Mayer
University of Bonn · DEGerman Center for Neurodegenerative Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular behavior is orchestrated by the complex interactions of a myriad of intracellular signal transduction pathways. To understand and investigate the role of individual components in such signaling networks, the availability of specific inhibitors is of paramount importance. We report the generation and validation of a novel variant of an RNA aptamer that selectively inhibits the mitogen-activated kinase pathway in neurons. We demonstrate that the aptamer retains function under intracellular conditions and that application of the aptamer through the patch-clamp pipette efficiently inhibits mitogen-activated kinase-dependent synaptic plasticity. This approach introduces synthetic aptamers as generic tools, readily applicable to inhibit different components of intraneuronal signaling networks with utmost specificity.

Indexed as

AnimalsAptamers, NucleotideCA1 Region, HippocampalIn Vitro TechniquesMaleMAP Kinase Signaling SystemMice, Inbred C57BLMitogen-Activated Protein KinasesNeuronal PlasticityNeuronsPatch-Clamp TechniquesSynaptic PotentialsAptamers, NucleotideMitogen-Activated Protein KinasesaptamersMAP kinaseneurosciencesSELEX

Identifiers

PMID25754968
PMCPMC5324602
OpenAlexW2096617035

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.