Evidence map›Paper›PMID 30075850›Full record

ReviewBiophysical journal2018

From Dynamics to Membrane Organization: Experimental Breakthroughs Occasion a "Modeling Manifesto".

Edward Lyman, Chia-Lung Hsieh, Christian Eggeling

Abstract readReview
In one paragraph

Review in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. CHARMM-GUIJournal of chemical theory and computation · 2023
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Computer simulations of protein-membrane systems.Progress in molecular biology and translational science · 2020
    Article
  9. High-Precision Protein-Tracking With Interferometric Scattering Microscopy.Frontiers in cell and developmental biology · 2020
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. 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

3 authors.

Edward LymanDepartment of Physics and Astrophysics, University of Delaware, Newark, Delaware; Department of Chemistry and Biochemistry, University of Delaware, Newark, Delaware. Electronic address: elyman@udel.edu.
Chia-Lung HsiehInstitute of Atomic and Molecular Sciences, Academia Sinica, Taiwan.
Christian EggelingMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom; Institute of Applied Optics, Friedrich-Schiller-University Jena, Jena, Germany; Leibniz Institute of Photonic Technology, Jena, Germany.

Funding

This renovation project will create over 1455 sq. ft. of state- of-the-art reseaP20GM104316 · NIGMS · UNIVERSITY OF DELAWARE · PI FOX, JOSEPH M · 2014 to 2024
$26.8M
Effects of lipidomic diversity on GPCRR01GM120351 · NIGMS · UNIVERSITY OF DELAWARE · PI LYMAN, EDWARD RAY · 2017 to 2021
$1.6M
Biotechnology and Biological Sciences Research CouncilMedical Research Council G0902418Medical Research Council MC_UU_00008/9Medical Research Council MC_UU_12010/9Medical Research Council MC_UU_12025Medical Research Council MR/K01577X/1NIGMS NIH HHS P20 GM104316NIGMS NIH HHS R01 GM120351Wellcome Trust 091911
6 · The paper itself

Abstract

New experimental techniques, especially in the context of observing molecular dynamics, reveal the plasma membrane to be heterogeneous and "scale rich," from nanometers to microns and from microseconds to seconds. This is critical information, which shows that scale-dependent transport governs the molecular encounters that underlie cellular signaling. The data are rich and reaffirm the importance of the cortical cytoskeleton, protein aggregates, and lipidomic complexity on the statistics of molecular encounters. Moreover, the data demand simulation approaches with a particular set of features, hence the "manifesto." Together with the experimental data, simulations that satisfy these requirements hold the promise of a deeper understanding of membrane spatiotemporal organization. Several experimental breakthroughs in measuring molecular membrane dynamics are reviewed, the constraints that they place on simulations are discussed, and the status of simulation approaches that aim to meet them are detailed.

Indexed as

Molecular Dynamics SimulationCell MembraneCytoskeletonMembrane LipidsMembrane ProteinsProtein ConformationMembrane LipidsMembrane Proteins

Identifiers

PMID30075850
PMCPMC6103736

What OpenQuestion holds

Textmetadata
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.