Evidence map›Paper›PMID 41445179›Full record

ReviewBiophysical journal2026

Protein force spectroscopy using magnetic tweezers: Slow and steady wins the race?

Stefanie D Pritzl, Jan Lipfert

Abstract readReview
In one paragraph

Review in Biophysical journal, 2026. 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. Magnetic DNA Origami Nanorotors.Advanced materials (Deerfield Beach, Fla.) · 2026
    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

2 authors.

Stefanie D PritzlDepartment of Physics and Debye Institute for Nanomaterials Science, Utrecht University, Princetonplein 1, 3584 CC Utrecht, the Netherlands; Department of Biochemistry and Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, New York.
Jan LipfertDepartment of Physics and Debye Institute for Nanomaterials Science, Utrecht University, Princetonplein 1, 3584 CC Utrecht, the Netherlands; Institute for Physics, University of Augsburg, Universitätsstrasse 1, 86159 Augsburg, Germany. Electronic address: jan.lipfert@uni-a.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical forces are central to biological function across scales, from whole organisms to individual molecules. At the cellular and subcellular levels, force generation, sensing, and mechanotransduction shape diverse processes including gene expression, morphogenesis, and disease progression. Single-molecule force spectroscopy provides critical insights into these mechanics, with magnetic tweezers (MTs) emerging as a versatile tool with unique advantages. MTs operate across physiologically relevant forces (∼0.01-100 pN) and enable stable, long-duration, and multiplexed measurements without photodamage, making them ideally suited to investigate proteins under near-native conditions. This review highlights the evolution of MT-based protein mechanics, spanning early cell microrheology to recent single-molecule studies. We focus on key developments and applications, including investigations of cytoskeletal, membrane, and motor proteins, force-sensitive cell adhesion complexes, mechanoresponsive ion channels, and virus-host interactions. Furthermore, we discuss the integration of MTs with fluorescence readouts and emerging in vivo applications, underscoring the expanding role of MTs in decoding the molecular basis of mechanobiology.

Indexed as

Magnetic PhenomenaMechanical PhenomenaProteinsSpectrum AnalysisAnimalsBiomechanical PhenomenaHumansProteins

Identifiers

PMID41445179
PMCPMC13507363

What OpenQuestion holds

Textmetadata
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.