Evidence map›Paper›PMID 34550131›Full record

ArticleSoft matter2021

Curvature-driven feedback on aggregation-diffusion of proteins in lipid bilayers.

Arijit Mahapatra, David Saintillan, Padmini Rangamani

Open access · greenAbstract read
In one paragraph

Article in Soft matter, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

7 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. MAVS Cys508 palmitoylation promotes its aggregation on the mitochondrial outer membrane and antiviral innate immunity.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Review
  7. 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

3 authors at 1 institution in 1 country.

Arijit MahapatraDepartment of Mechanical and Aerospace Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. dsaintillan@eng.ucsd.edu.
David SaintillanDepartment of Mechanical and Aerospace Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. dsaintillan@eng.ucsd.edu.ORCID http://orcid.org/0000-0001-9948-708X
Padmini RangamaniDepartment of Mechanical and Aerospace Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. dsaintillan@eng.ucsd.edu.ORCID http://orcid.org/0000-0001-5953-4347
University of California San Diego · US

Funding

Modeling and analysis of the mechanochemical processes that govern clathrin-mediated endocytosisR01GM132106 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RANGAMANI, PADMINI · 2020 to 2024
$1.5M
NIGMS NIH HHS R01 GM132106
6 · The paper itself

Abstract

Membrane bending is an extensively studied problem from both modeling and experimental perspectives because of the wide implications of curvature generation in cell biology. Many of the curvature generating aspects in membranes can be attributed to interactions between proteins and membranes. These interactions include protein diffusion and formation of aggregates due to protein-protein interactions in the plane of the membrane. Recently, we developed a model that couples the in-plane flow of lipids and diffusion of proteins with the out-of-plane bending of the membrane. Building on this work, here, we focus on the role of explicit aggregation of proteins on the surface of the membrane in the presence of membrane bending and diffusion. We develop a comprehensive framework that includes lipid flow, membrane bending, the entropy of protein distribution, along with an explicit aggregation potential and derive the governing equations for the coupled system. We compare this framework to the Cahn-Hillard formalism to predict the regimes in which the proteins form patterns on the membrane. We demonstrate the utility of this model using numerical simulations to predict how aggregation and diffusion, when coupled with curvature generation, can alter the landscape of membrane-protein interactions.

Indexed as

Lipid BilayersProteinsCell MembraneDiffusionFeedbackLipid BilayersProteins

Identifiers

PMID34550131
PMCPMC8462121
OpenAlexW3140193106

What OpenQuestion holds

Textmetadata
LicenceTDM
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.