Evidence map›Paper›PMID 40420825›Full record

ReviewChembiochem : a European journal of chemical biology2025

Macromolecular High-Affinity Binding Probed by Advanced Fluorescence Techniques.

Alida Meyer, Benno Schedler, Jörg Fitter

Abstract readReview
In one paragraph

Review in Chembiochem : a European journal of chemical biology, 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

3 authors.

Alida MeyerRWTH Aachen University, I. Physikalisches Institut (IA), AG Biophysik, 52074, Aachen, Germany.
Benno SchedlerRWTH Aachen University, I. Physikalisches Institut (IA), AG Biophysik, 52074, Aachen, Germany.
Jörg FitterRWTH Aachen University, I. Physikalisches Institut (IA), AG Biophysik, 52074, Aachen, Germany.ORCID https://orcid.org/0000-0002-4503-2079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the extreme sensitivity and the intrinsic selectivity of fluorescence techniques, high-affinity binding can be measured even at extremely low molecule concentrations in the picomolar range. In particular, modern advanced techniques with fluorescence microscopes have provided considerable methodological advancements in recent years. Here, a brief description of the basic physical principles of fluorescence detection and its experimental measurement setups are provided. For interacting biomolecules in solution, confocal fluorescence microscopy enables some very effective approaches to characterize binding in complex sample environments and with small sample consumption. In addition to standard techniques with bulk samples in classical spectrometers, applications with single-molecule Förster resonance energy transfer, two-color coincidence detection, and fluorescence correlation spectroscopy are presented. The strength of the more advanced techniques lies in their broad applicability, ranging from fluorescence-based genetically encoded biosensors for use in living cells to the high controllability in the measurement of binding curves even at very low molecule concentrations. The advantages and limitations of the individual techniques are compared and recent state-of-the-art applications are discussed.

Indexed as

Fluorescent DyesMacromolecular SubstancesBiosensing TechniquesFluorescence Resonance Energy TransferHumansMicroscopy, FluorescenceSpectrometry, FluorescenceFluorescent DyesMacromolecular Substancesbiosensorsfluorescence spectroscopyFRETprotein‐protein interactionssingle‐molecule studies

Identifiers

PMID40420825
PMCPMC12376249

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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.