Evidence map›Paper›PMID 42681236›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Direct Observation and Measurement of Membrane Tension in Xenopus laevis Animal Cap Explants Using the Mechanosensitive Dye, Flipper-TR.

Iona Norwood, Sarah Woolner

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 2026. 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
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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

2 authors.

Iona NorwoodManchester Cell-Matrix Centre, Division of Cell Matrix Biology and Regenerative Medicine, Faculty of Biology, Medicine and Health, Michael Smith Building, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
Sarah WoolnerManchester Cell-Matrix Centre, Division of Cell Matrix Biology and Regenerative Medicine, Faculty of Biology, Medicine and Health, Michael Smith Building, University of Manchester, Oxford Road, Manchester, M13 9PT, UK. sarah.woolner@manchester.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical forces play a critical role in shaping tissue architecture and influencing cell behavior during development and disease. Plasma membrane tension acts as a key mechanosensitive parameter, linking external forces to intracellular signaling through mechanotransduction. While traditional methods for measuring membrane tension, such as atomic force microscopy and optical tweezers, are invasive and challenging to apply to whole tissues, the mechanosensitive dye Flipper-TR offers a nondestructive optical approach to measure membrane tension using Fluorescence Lifetime Imaging Microscopy (FLIM). Here, we describe a protocol for measuring membrane tension in Xenopus laevis animal cap explants, extending Flipper-TR applications from cultured cells to intact embryonic tissues. The staining and imaging workflow is optimized to minimize phototoxicity and address challenges such as fluorescence polarization. Additionally, we detail an image processing pipeline to extract fluorescence lifetime data and infer membrane tension at cellular and tissue scales. This approach enables direct visualization of membrane tension dynamics in live tissues, providing a powerful tool for mechanobiology studies.

Indexed as

Cell MembraneFluorescent DyesMechanotransduction, CellularXenopus laevisAnimalsEctodermEmbryonic StructuresImage Processing, Computer-AssistedMicroscopy, FluorescenceFluorescent DyesEpitheliaFlipper-TRFluorescence lifetime imaging microscopy (FLIM)Membrane tensionXenopus

Identifiers

PMID42681236

What OpenQuestion holds

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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.