Evidence map›Paper›PMID 36659916›Full record

ReviewComputational and structural biotechnology journal2023

Methods to mechanically perturb and characterize GUV-based minimal cell models.

Nadab H Wubshet, Allen P Liu

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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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 at 1 institution in 1 country.

Nadab H WubshetDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Allen P LiuDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
University of Michigan · US

Funding

Microfluidics in Biomedical Sciences Training ProgramT32EB005582 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FAN, XUDONG · 2005 to 2020
$3.9M
Development of a mechanosensitive synthetic cell for mediating intercellular communication - Diversity SupplementR01EB030031 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIU, ALLEN PO-CHIH · 2020 to 2024
$1.3M
NIBIB NIH HHS R01 EB030031NIBIB NIH HHS T32 EB005582
6 · The paper itself

Abstract

Cells shield organelles and the cytosol via an active boundary predominantly made of phospholipids and membrane proteins, yet allowing communication between the intracellular and extracellular environment. Micron-sized liposome compartments commonly known as giant unilamellar vesicles (GUVs) are used to model the cell membrane and encapsulate biological materials and processes in a cell-like confinement. In the field of bottom-up synthetic biology, many have utilized GUVs as substrates to study various biological processes such as protein-lipid interactions, cytoskeletal assembly, and dynamics of protein synthesis. Like cells, it is ideal that GUVs are also mechanically durable and able to stay intact when the inner and outer environment changes. As a result, studies have demonstrated approaches to tune the mechanical properties of GUVs by modulating membrane composition and lumenal material property. In this context, there have been many different methods developed to test the mechanical properties of GUVs. In this review, we will survey various perturbation techniques employed to mechanically characterize GUVs.

Indexed as

Acoustic deformationAFMElectrodeformationGUVGUV mechanicsMicrofluidicsMicropipette aspirationOptical stretching

Identifiers

PMID36659916
PMCPMC9816913
OpenAlexW4313377252

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.