Evidence map›Paper›PMID 41301497›Full record

ArticleBiomolecules2025

Observing Picomolar Protein Unfolding Using Resonance Light Scattering.

Alain Bolaño Alvarez, Kristian Bakke Arvesen, Kasper Fjellhaugen Hjuler, Peter Bjerring, Steffen B Petersen

Abstract read
In one paragraph

Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Alain Bolaño AlvarezDepartment of Dermatology and Venerology, Aalborg University Hospital, Hobrovej 18-20, 9000 Aalborg, Denmark.ORCID 0000-0003-4461-6379
Kristian Bakke ArvesenDepartment of Dermatology and Venerology, Aalborg University Hospital, Hobrovej 18-20, 9000 Aalborg, Denmark.ORCID 0000-0002-4913-6756
Kasper Fjellhaugen HjulerDepartment of Dermatology and Venerology, Aalborg University Hospital, Hobrovej 18-20, 9000 Aalborg, Denmark.ORCID 0000-0001-6082-5096
Peter BjerringDepartment of Dermatology and Venerology, Aalborg University Hospital, Hobrovej 18-20, 9000 Aalborg, Denmark.ORCID 0000-0002-3031-1390
Steffen B PetersenDepartment of Dermatology and Venerology, Aalborg University Hospital, Hobrovej 18-20, 9000 Aalborg, Denmark.ORCID 0000-0002-0739-2751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We here present a novel and sensitive methodology for determining the melting point (MP) of Bovine Serum Albumin (BSA) from micromolar to picomolar concentration levels under label-free conditions. At 1 pM we could model the melting with a sharp Gaussian. However, from the transient state observed during the melting process by using a simple exponential decay model, we determined a time constant of 67 s. We applied this methodology by studying a 3.3 pM sample of a botulinum toxin A (BoNT-A) (stabilized with 2.8 nanomolar denatured Human Serum Albumin (HSA)). We were able to determine the Tm of BoNT-A in the presence of approximately 1000-fold more concentrated HSA. This method enables the detection of protein melting transitions at picomolar concentrations without the use of a fluorescence dye. Its sensitivity and simplicity make it a valuable analytical tool for studying protein stability in diluted pharmaceutical formulations. This method is useful for correlating thermal conformational changes with catalytic function.

Indexed as

Protein UnfoldingSerum Albumin, BovineAnimalsBotulinum Toxins, Type ACattleHumansLightScattering, RadiationSerum Albumin, HumanTransition TemperatureBotulinum Toxins, Type ASerum Albumin, BovineSerum Albumin, Humanbotulinum toxin ABSAmelting pointmelting transitionspicomolar concentrationprotein stabilityresonance light scattering

Identifiers

PMID41301497
PMCPMC12650451

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Registered trials

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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.