Evidence map›Paper›PMID 31577313›Full record

ArticleNanoscale2019

Nanoparticles binding to lipid membranes: from vesicle-based gels to vesicle tubulation and destruction.

Sarah Zuraw-Weston, Derek A Wood, Ian K Torres, YiWei Lee, Li-Sheng Wang, Ziwen Jiang, Guillermo R Lázaro, ShiYu Wang, Avital A Rodal, Michael F Hagan and 2 more

Abstract read
In one paragraph

Article in Nanoscale, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Sarah Zuraw-WestonDepartment of Physics, University of Massachusetts Amherst, USA. dinsmore@physics.umass.edu.
Derek A Wood
Ian K Torres
YiWei Lee
Li-Sheng Wang
Ziwen Jiang
Guillermo R Lázaro
ShiYu Wang
Avital A Rodal
Michael F Hagan
Vincent M Rotello
Anthony D Dinsmore

Funding

Targeting of Bio-orthogonal Chemotherapeutic Nanozymes to Tumor-Associated MacrophagesR01EB022641 · NIBIB · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ROTELLO, VINCENT M. · 2017 to 2024
$3.0M
Computational modeling of viral capsid and bacterial microcompartment assemblyR01GM108021 · NIGMS · BRANDEIS UNIVERSITY · PI HAGAN, MICHAEL F · 2013 to 2021
$2.7M
NIBIB NIH HHS R01 EB022641NIGMS NIH HHS R01 GM108021
6 · The paper itself

Abstract

While cells offer numerous inspiring examples in which membrane morphology and function are controlled by interactions with viruses or proteins, we still lack design principles for controlling membrane morphology in synthetic systems. With experiments and simulations, we show that spherical nanoparticles binding to lipid-bilayer membrane vesicles results in a remarkably rich set of collective morphologies that are controllable via the particle binding energy. We separately study cationic and anionic particles, where the adhesion is tuned by addition of oppositely charged lipids to the vesicles. When the binding energy is weak relative to a characteristic membrane-bending energy, vesicles adhere to one another and form a soft solid gel, a novel and useful platform for controlled release. With larger binding energy, a transition from partial to complete wrapping of the nanoparticles causes a remarkable vesicle destruction process culminating in rupture, nanoparticle-membrane tubules, and an apparent inversion of the vesicles. These findings help unify the diverse phenomena observed previously. They also open the door to a new class of vesicle-based, closed-cell gels that are more than 99% water and can encapsulate and release on demand, and show how to drive intentional membrane remodeling for shape-responsive systems.

Indexed as

GelsLipid BilayersNanoparticlesGelsLipid Bilayers

Identifiers

PMID31577313
PMCPMC7155749

What OpenQuestion holds

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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.