Evidence map›Paper›PMID 36947952›Full record

ReviewCurrent opinion in structural biology2023

Multiscale models of integrins and cellular adhesions.

Tamara C Bidone, David J Odde

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in structural biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Prediction of αBiophysical journal · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

2 authors at 2 institutions in 1 country.

Tamara C BidoneDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA. Electronic address: tamarabidone@sci.utah.edu.
David J OddeDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA. Electronic address: https://twitter.com/davidodde.
University of Minnesota · USUniversity of Utah · US

Funding

Project 2: Cell Migration in Mechanically Complex MicroenvironmentsU54CA210190 · NCI · UNIVERSITY OF MINNESOTA · PI LARGAESPADA, DAVID ANDREW · 2016 to 2020
$10.0M
Project 3P01CA254849 · NCI · UNIVERSITY OF MINNESOTA · PI ODDE, DAVID J. · 2021 to 2025
$9.4M
TECH CoreU54CA268069 · NCI · UNIVERSITY OF MINNESOTA · PI David J. Odde · 2022 to 2026
$8.2M
Developing a multiscale understanding of biophysical processes in sickle cell diseaseR01HL132906 · NHLBI · UNIVERSITY OF MINNESOTA · PI WOOD, DAVID KEVIN · 2017 to 2024
$4.6M
Overcoming Leukemia Chemoresistance in the Central Nervous SystemR37CA240846 · NCI · UNIVERSITY OF MINNESOTA · PI PETER M GORDON · 2020 to 2026
$2.4M
How alpha-Synuclein misfolding promotes tau pathology in ADRDR01NS117968 · NINDS · UNIVERSITY OF MINNESOTA · PI SACHS, JONATHAN N · 2020 to 2024
$2.3M
Computational models of cell mechanosensing through integrin-based adhesionsR35GM147491 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Tamara Bidone · 2022 to 2026
$1.9M
Mechanisms of Spatial Organization in the CytoplasmR35GM136302 · NIGMS · DARTMOUTH COLLEGE · PI GRIFFIN, ERIK E · 2020 to 2023
$1.6M
TRACTOR: A Computational Platform to Explore Matrix-Mediated Mechanical Communication among CellsR21GM147898 · NIGMS · UNIVERSITY OF MINNESOTA · PI BAROCAS, VICTOR H, DORFMAN, KEVIN D · 2022 to 2023
$407k
NCI NIH HHS P01 CA254849NCI NIH HHS R37 CA240846NCI NIH HHS U54 CA210190NCI NIH HHS U54 CA268069NHLBI NIH HHS R01 HL132906NIGMS NIH HHS R21 GM147898NIGMS NIH HHS R35 GM136302NIGMS NIH HHS R35 GM147491NINDS NIH HHS R01 NS117968
6 · The paper itself

Abstract

Computational models of integrin-based adhesion complexes have revealed important insights into the mechanisms by which cells establish connections with their external environment. However, how changes in conformation and function of individual adhesion proteins regulate the dynamics of whole adhesion complexes remains largely elusive. This is because of the large separation in time and length scales between the dynamics of individual adhesion proteins (nanoseconds and nanometers) and the emergent dynamics of the whole adhesion complex (seconds and micrometers), and the limitations of molecular simulation approaches in extracting accurate free energies, conformational transitions, reaction mechanisms, and kinetic rates, that can inform mechanisms at the larger scales. In this review, we discuss models of integrin-based adhesion complexes and highlight their main findings regarding: (i) the conformational transitions of integrins at the molecular and macromolecular scales and (ii) the molecular clutch mechanism at the mesoscale. Lastly, we present unanswered questions in the field of modeling adhesions and propose new ideas for future exciting modeling opportunities.

Indexed as

Focal AdhesionsIntegrinsCell AdhesionCell MembraneKineticsMolecular ConformationIntegrins

Identifiers

PMID36947952
PMCPMC10238663
OpenAlexW4327908848

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.