Evidence map›Paper›PMID 37056240›Full record

ArticleBio-protocol2023

Reconstitution of Membrane-tethered Postsynaptic Density Condensates Using Supported Lipid Bilayer.

Zhe Feng, Mingjie Zhang

Abstract read
In one paragraph

Article in Bio-protocol, 2023. 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

2 authors.

Zhe FengState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200433, China.
Mingjie ZhangSchool of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eukaryotic cells utilize sub-cellular compartmentalization to restrict reaction components within a defined localization to perform specified biological functions. One way to achieve this is via membrane enclosure; however, many compartments are not bounded with lipid membrane bilayers. In the past few years, it has been increasingly recognized that molecular components in non- or semi-membrane-bound compartments might form biological condensates autonomously (i.e., without requirement of energy input) once threshold concentrations are reached, via a physical chemistry process known as liquid-liquid phase separation. Molecular components within these compartments are stably maintained at high concentrations and separated from the surrounding diluted solution without the need for a physical barrier. Biochemical reconstitution using recombinantly purified proteins has served as an important tool for understanding organizational principles behind these biological condensates. Common techniques include turbidity measurement, fluorescence imaging of 3D droplets, and atomic force microscopy measurements of condensate droplets. Nevertheless, many molecular compartments are semi-membrane-bound with one side attached to the plasma membrane and the other side exposed to the cytoplasm and/or attached to the cytoskeleton; therefore, reconstitution in 3D solution cannot fully recapture their physiological configuration. Here, we utilize a postsynaptic density minimal system to demonstrate that biochemical reconstitution can be applied on supported lipid bilayer (SLB); we have also incorporated actin cytoskeleton into the reconstitution system to mimic the molecular organization in postsynaptic termini. The same system could be adapted to study other membrane-proximal, cytoskeleton-supported condensations.

Indexed as

Actin cytoskeletonBiochemical reconstitutionPhase separationSupported lipid bilayerSynapses

Identifiers

PMID37056240
PMCPMC10086545

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.