Evidence map›Paper›PMID 38001098›Full record

ArticleScientific reports2023

High specificity THz metamaterial-based biosensor for label-free transcription factor detection in melanoma diagnostics.

Merle Richter, Yannik Loth, Anna Katharina Wigger, Daniela Nordhoff, Nicole Rachinger, Christian Weisenstein, Anja Katrin Bosserhoff, Peter Haring Bolívar

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 1 country.

Merle RichterHigh Frequency and Quantum Electronics, University of Siegen, 57076, Siegen, Germany. merle.richter@uni-siegen.de.ORCID 0000-0002-8597-3877
Yannik LothHigh Frequency and Quantum Electronics, University of Siegen, 57076, Siegen, Germany.
Anna Katharina WiggerHigh Frequency and Quantum Electronics, University of Siegen, 57076, Siegen, Germany.
Daniela NordhoffHigh Frequency and Quantum Electronics, University of Siegen, 57076, Siegen, Germany.
Nicole RachingerBiochemistry and Molecular Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany.
Christian WeisensteinHigh Frequency and Quantum Electronics, University of Siegen, 57076, Siegen, Germany.
Anja Katrin BosserhoffBiochemistry and Molecular Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany.
Peter Haring BolívarHigh Frequency and Quantum Electronics, University of Siegen, 57076, Siegen, Germany.ORCID 0000-0001-5875-556X
University of Siegen · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) BO1573/27Deutsche Forschungsgemeinschaft (German Research Foundation) BO1573/42-1Deutsche Forschungsgemeinschaft (German Research Foundation) HA3022/15Deutsche Forschungsgemeinschaft (German Research Foundation) HA3022/8Deutsche Forschungsgemeinschaft (German Research Foundation) WI 5209/1
6 · The paper itself

Abstract

In this work, we present a promising diagnostic tool for melanoma diagnosis. With the proposed terahertz biosensor, it was possible to selectively and sensitively detect the early growth response protein 2, a transcription factor with an increased activity in melanoma cells, from a complex sample of cellular proteins. Fundamentally, the sensor belongs to the frequency selective surface type metamaterials and consists of a two-dimensional array of asymmetrically, doubly split ring resonator unit cells. The single elements are slits in a metallic layer and are complemented by an undercut etch. This allows a selective functionalization of the active area of the sensor and increases the sensitivity towards the target analyte. Hereby, specific detection of a defined transcription factor is feasible.

Indexed as

MelanomaTranscription FactorsGene Expression RegulationHumansPsychomotor AgitationTranscription Factors

Identifiers

PMID38001098
PMCPMC10673904
OpenAlexW4388967981

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.