Evidence map›Paper›PMID 41196004›Full record

ArticleBioconjugate chemistry2025

Peptide-Based Fluorescent Biosensing System for the Detection of the Melanoma Biomarker S100B.

Eleni Chatzilakou, Yubing Hu, Othman Al Musaimi, Lucia Lombardi, Oscar M Mercado-Valenzo, Nan Jiang, Daryl R Williams, Ali K Yetisen

Abstract read
In one paragraph

Article in Bioconjugate chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Eleni ChatzilakouDepartment of Chemical Engineering, Imperial College London, South Kensington, London SW7 2BU, U.K.ORCID 0000-0003-3703-6130
Yubing HuDepartment of Chemical Engineering, Imperial College London, South Kensington, London SW7 2BU, U.K.ORCID 0000-0003-3083-0067
Othman Al MusaimiDepartment of Chemical Engineering, Imperial College London, South Kensington, London SW7 2BU, U.K.ORCID 0000-0003-2421-1825
Lucia LombardiDepartment of Chemical Engineering, Imperial College London, South Kensington, London SW7 2BU, U.K.ORCID 0000-0002-5202-9847
Oscar M Mercado-ValenzoDepartment of Chemical Engineering, Imperial College London, South Kensington, London SW7 2BU, U.K.
Nan JiangWest China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.ORCID 0000-0001-8394-3247
Daryl R WilliamsDepartment of Chemical Engineering, Imperial College London, South Kensington, London SW7 2BU, U.K.ORCID 0000-0001-5626-5903
Ali K YetisenDepartment of Chemical Engineering, Imperial College London, South Kensington, London SW7 2BU, U.K.ORCID 0000-0003-0896-267X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cutaneous melanoma, responsible for 80% of skin cancer mortality, presents urgent diagnostic challenges due to insufficient early detection methods. Current clinical methods rely on invasive biopsies, while noninvasive approaches primarily serve as adjunctive decision-support tools rather than definitive diagnostics. Here, a peptide-based fluorescent biosensing system was developed for the sensitive and rapid detection of S100B, a key prognostic biomarker for melanoma. Our system employs a fluorescently labeled peptide beacon designed for Förster resonance energy transfer (FRET)-based detection, achieving a subnanomolar detection limit (∼0.045 nM) and great selectivity in human serum samples. Peptide synthesis was performed using optimized solid-phase protocols, enabling precise sequence assembly, while the peptide sensor offers efficient detection, lower costs, and high specificity through tailored peptide-protein interactions. The biosensing probe employs complementary peptide nucleic acid (PNA) interactions to achieve proximity-induced fluorescence quenching in the absence of S100B, which reverses via structural rearrangement upon specific S100B binding for accurate quantification. Computational and experimental optimization of the synthetic process has enhanced binding efficiency, sensitivity, and response time-crucial parameters for melanoma-specific detection. By integrating advanced molecular design with optical biosensing, this mechanism aims to enhance the accuracy and accessibility of melanoma diagnostics, ultimately addressing healthcare disparities and improving patient outcomes.

Indexed as

Biomarkers, TumorBiosensing TechniquesFluorescent DyesMelanomaPeptidesS100 Calcium Binding Protein beta SubunitSkin NeoplasmsFluorescence Resonance Energy TransferHumansPeptide Nucleic AcidsBiomarkers, TumorFluorescent DyesPeptide Nucleic AcidsPeptidesS100B protein, humanS100 Calcium Binding Protein beta Subunit

Identifiers

PMID41196004
PMCPMC12635975

What Socratic 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 Socratic graph.