Evidence map›Paper›PMID 23529147›Full record

ArticleSensors (Basel, Switzerland)2013

DNA-based sensor for real-time measurement of the enzymatic activity of human topoisomerase I.

Lærke Bay Marcussen, Morten Leth Jepsen, Emil Laust Kristoffersen, Oskar Franch, Joanna Proszek, Yi-Ping Ho, Magnus Stougaard, Birgitta Ruth Knudsen

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
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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

8 authors at 2 institutions in 1 country.

Lærke Bay MarcussenDepartment of Molecular Biology and Genetics, Aarhus University, Aarhus C 8000, Denmark. laerke_bay@hotmail.com
Morten Leth Jepsen
Emil Laust Kristoffersen
Oskar Franch
Joanna Proszek
Yi-Ping Ho
Magnus Stougaard
Birgitta Ruth Knudsen
Aarhus University · DKAarhus University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensors capable of quantitative real-time measurements may present the easiest and most accurate way to study enzyme activities. Here we present a novel DNA-based sensor for specific and quantitative real-time measurement of the enzymatic activity of the essential human enzyme, topoisomerase I. The basic design of the sensor relies on two DNA strands that hybridize to form a hairpin structure with a fluorophore-quencher pair. The quencher moiety is released from the sensor upon reaction with human topoisomerase I thus enabling real-time optical measurement of enzymatic activity. The sensor is specific for topoisomerase I even in raw cell extracts and presents a simple mean of following enzyme kinetics using standard laboratory equipment such as a qPCR machine or fluorimeter. Human topoisomerase I is a well-known target for the clinically used anti-cancer drugs of the camptothecin family. The cytotoxic effect of camptothecins correlates directly with the intracellular topoisomerase I activity. We therefore envision that the presented sensor may find use for the prediction of cellular drug response. Moreover, inhibition of topoisomerase I by camptothecin is readily detectable using the presented DNA sensor, suggesting a potential application of the sensor for first line screening for potential topoisomerase I targeting anti-cancer drugs.

Indexed as

Computer SystemsBase SequenceBiosensing TechniquesCamptothecinDNADNA Topoisomerases, Type IFluorescent DyesHumansMolecular Sequence DataNucleic Acid ConformationSaccharomyces cerevisiaeSpectrometry, FluorescenceCamptothecinDNADNA Topoisomerases, Type IFluorescent DyesTOP1 protein, human

Identifiers

PMID23529147
PMCPMC3673067
OpenAlexW2113646543

What OpenQuestion holds

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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.