Evidence map›Paper›PMID 29786613›Full record

ArticleJournal of physics. Condensed matter : an Institute of Physics journal2018

Biophysics of membrane curvature remodeling at molecular and mesoscopic lengthscales.

N Ramakrishnan, Ryan P Bradley, Richard W Tourdot, Ravi Radhakrishnan

Abstract read
In one paragraph

Article in Journal of physics. Condensed matter : an Institute of Physics journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Dynamic Plasma Membrane Topography Linked With Arp2/3 Actin Network Induction During Cell Shape Change.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
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  10. Membrane signalosome: where biophysics meets systems biology.Current opinion in systems biology · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
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

4 authors at 1 institution in 1 country.

N RamakrishnanDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0000-0002-7888-9255
Ryan P BradleyDepartment of Chemical and Biomolecular engineering, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Richard W TourdotDepartment of Chemical and Biomolecular engineering, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Ravi RadhakrishnanDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0000-0003-0686-2851
University of Pennsylvania · US

Funding

PSOC@Penn Education and OutreachU54CA193417 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DISCHER, DENNIS E. · 2015 to 2020
$10.5M
Bridging multiple scales in modeling targeted drug nanocarrier deliveryU01EB016027 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI ECKMANN, DAVID M, RADHAKRISHNAN, RAVI · 2013 to 2017
$2.7M
Spatial control of actin assembly by phosphoinositidesR01GM111942 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI JANMEY, PAUL A · 2015 to 2018
$1.8M
NCI NIH HHS U54 CA193417NIBIB NIH HHS U01 EB016027NIGMS NIH HHS R01 GM111942
6 · The paper itself

Abstract

At the micron scale, where cell organelles display an amazing complexity in their shape and organization, the physical properties of a biological membrane can be better-understood using continuum models subject to thermal (stochastic) undulations. Yet, the chief orchestrators of these complex and intriguing shapes are a specialized class of membrane associating often peripheral proteins called curvature remodeling proteins (CRPs) that operate at the molecular level through specific protein-lipid interactions. We review multiscale methodologies to model these systems at the molecular as well as at the mesoscopic and cellular scales, and also present a free energy perspective of membrane remodeling through the organization and assembly of CRPs. We discuss the morphological space of nearly planar to highly curved membranes, methods to include thermal fluctuations, and review studies that model such proteins as curvature fields to describe the emergent curved morphologies. We also discuss several mesoscale models applied to a variety of cellular processes, where the phenomenological parameters (such as curvature field strength) are often mapped to models of real systems based on molecular simulations. Much insight can be gained from the calculation of free energies of membranes states with protein fields, which enable accurate mapping of the state and parameter values at which the membrane undergoes morphological transformations such as vesiculation or tubulation. By tuning the strength, anisotropy, and spatial organization of the curvature-field, one can generate a rich array of membrane morphologies that are highly relevant to shapes of several cellular organelles. We review applications of these models to budding of vesicles commonly seen in cellular signaling and trafficking processes such as clathrin mediated endocytosis, sorting by the ESCRT protein complexes, and cellular exocytosis regulated by the exocyst complex. We discuss future prospects where such models can be combined with other models for cytoskeletal assembly, and discuss their role in understanding the effects of cell membrane tension and the mechanics of the extracellular microenvironment on cellular processes.

Indexed as

Biophysical PhenomenaModels, MolecularCell MembraneMembrane ProteinsMembrane Proteins

Identifiers

PMID29786613
PMCPMC6066392
OpenAlexW2803782124

What Socratic 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 Socratic graph.