Evidence map›Paper›PMID 33917864›Full record

ArticleBiosensors2021

Melting Curve Analysis of Aptachains: Adenosine Detection with Internal Calibration.

Chenze Lu, Christine Saint-Pierre, Didier Gasparutto, Yoann Roupioz, Corinne Ravelet, Eric Peyrin, Arnaud Buhot

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors at 1 institution in 2 countries.

Chenze LuCollege of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Christine Saint-PierreUniversity Grenoble Alpes, CEA, CNRS, IRIG, SyMMES, F-38000 Grenoble, France.
Didier GasparuttoUniversity Grenoble Alpes, CEA, CNRS, IRIG, SyMMES, F-38000 Grenoble, France.
Yoann RoupiozUniversity Grenoble Alpes, CEA, CNRS, IRIG, SyMMES, F-38000 Grenoble, France.ORCID 0000-0002-1790-8141
Corinne RaveletUniversity Grenoble Alpes, CNRS, DPM, F-38000 Grenoble, France.
Eric PeyrinUniversity Grenoble Alpes, CNRS, DPM, F-38000 Grenoble, France.ORCID 0000-0001-5558-6369
Arnaud BuhotUniversity Grenoble Alpes, CEA, CNRS, IRIG, SyMMES, F-38000 Grenoble, France.ORCID 0000-0001-7643-4305
Centre National de la Recherche Scientifique · FR

Funding

LABoratoires d'EXcellence ARCANE CBH-EUR-GS (ANR-17-EURE-0003)
6 · The paper itself

Abstract

Small molecules are ubiquitous in nature and their detection is relevant in various domains. However, due to their size, sensitive and selective probes are difficult to select and the detection methods are generally indirect. In this study, we introduced the use of melting curve analysis of aptachains based on split-aptamers for the detection of adenosine. Aptamers, short oligonucleotides, are known to be particularly efficient probes compared to antibodies thanks to their advantageous probe/target size ratio. Aptachains are formed from dimers with dangling ends followed by the split-aptamer binding triggered by the presence of the target. The high melting temperature of the dimers served as a calibration for the detection/quantification of the target based on the height and/or temperature shift of the aptachain melting peak.

Indexed as

Biosensing TechniquesAdenosineAptamers, NucleotideCalibrationPolymersAdenosineAptamers, NucleotidePolymersaptachain self-assemblycalibration/normalizationmelting temperaturesmall molecule detectionsplit-aptamers

Identifiers

PMID33917864
PMCPMC8068264
OpenAlexW3156642830

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.