Evidence map›Paper›PMID 42818298›Full record

ArticlebioRxiv : the preprint server for biology2026

Controlling membrane tension by dynamic DNA nanorings.

Longfei Liu, Eason Cao, Chunxiang Wu, Abhijith Radhakrishnan, Manindra Bera, Sudhanshu Gautam, Aniruddha Panda, Kallol Gupta, Yong Xiong, Frédéric Pincet and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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
–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

11 authors.

Longfei LiuDepartment of Cell Biology, Yale University School of Medicine, New Haven, CT, USA.
Eason CaoDepartment of Cell Biology, Yale University School of Medicine, New Haven, CT, USA.
Chunxiang WuDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.ORCID 0000-0002-8635-1578
Abhijith RadhakrishnanDepartment of Cell Biology, Yale University School of Medicine, New Haven, CT, USA.
Manindra BeraDepartment of Cell Biology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-9297-8126
Sudhanshu GautamDepartment of Cell Biology, Yale University School of Medicine, New Haven, CT, USA.
Aniruddha PandaDepartment of Cell Biology, Yale University School of Medicine, New Haven, CT, USA.
Kallol GuptaDepartment of Cell Biology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-3557-3242
Yong XiongDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
Frédéric PincetDepartment of Cell Biology, Yale University School of Medicine, New Haven, CT, USA.
Chenxiang LinDepartment of Cell Biology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-7041-1946

Funding

Understanding how membrane composition directs membrane protein structure and functionRM1GM149406 · NIGMS · YALE UNIVERSITY · PI Joel Adam Butterwick, KATHRYN M FERGUSON · 2023 to 2026
$8.4M
A multiscale approach for elucidating nuclear entry mechanisms of HIV-1 capsidR01AI162260 · NIAID · YALE UNIVERSITY · PI LIN, CHENXIANG, XIONG, YONG · 2021 to 2025
$3.5M
DNA nanotechnology enabled high-precision membrane engineeringR35GM149264 · NIGMS · YALE UNIVERSITY · PI Chenxiang Lin · 2023 to 2026
$1.9M
Understanding organization of membrane proteins and lipids through lipid vesicle native mass spectrometryR01GM141192 · NIGMS · YALE UNIVERSITY · PI GUPTA, KALLOL · 2021 to 2025
$1.9M
High-Throughput, Multiplexing-Ready Intracellular Pressure ProbesR21GM146105 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI CHEN, YUN, LIN, CHENXIANG · 2022 to 2023
$465k
Self-assembled DNA elastic networks for measuring membrane tension in live cellsR21GM141669 · NIGMS · YALE UNIVERSITY · PI KARATEKIN, ERDEM, LIN, CHENXIANG · 2021 to 2022
$461k
Developing next-generation mass spectrometric platforms for molecular cartography of the cellular membranesR35GM164438 · NIGMS · YALE UNIVERSITY · PI Kallol Gupta · 2026 to 2026
$305k
NIAID NIH HHS R01 AI162260NIGMS NIH HHS R01 GM141192NIGMS NIH HHS R21 GM141669NIGMS NIH HHS R21 GM146105NIGMS NIH HHS R35 GM149264NIGMS NIH HHS R35 GM164438NIGMS NIH HHS RM1 GM149406
6 · The paper itself

Abstract

Membrane tension, defined as the energy cost to expand the membrane surface area, is a fundamental mechanical property of the lipid bilayer and an important modulator of various cellular processes. Liposomes provide model systems to study protein-mediated membrane dynamics, where membrane tension can be controlled by osmotic pressure and micropipette aspiration. However, it is challenging to individually control membrane tension of nanometer-sized liposomes, such as small unilamellar vesicles (SUVs), that are widely used for modeling subcellular membrane structures and drug delivery. To bridge this technological gap, we present reconfigurable DNA origami rings for dynamically controlling membrane tension of sub-100 nm liposomes. The DNA nanorings template the formation of uniformly sized SUVs and undergo trigger-responsive dilation and contraction, thus applying controlled and reversible mechanical stress to the SUV membranes. Electron microscopy analyses show deformed liposomes with ~2.5% expanded membrane area following ring dilation. The corresponding increase in membrane tension opens a mechanosensitive ion channel MscL with gating tension of ~10 mN/m. Selectively manipulating a mixture of SUV populations enables timed release of their distinct molecular cargos, either concurrently or one at a time. Furthermore, vesicles with expanded membranes are more conducive to SNARE-mediated fusion. The nanomechanical device thus provides a programmable platform for engineering the mechanics of synthetic nano-vesicles and studying membrane tension modulated processes at the molecular level.

Identifiers

PMID42818298
PMCPMC13622256

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.