Evidence map›Paper›PMID 36964658›Full record

ArticleBiophysical journal2023

Competition between deformation and free volume quantified by 3D image analysis of red blood cell.

Mehrnaz Babaki, Dmitry A Fedosov, Amirreza Gholivand, Joeri Opdam, Remco Tuinier, Minne Paul Lettinga

Abstract read
In one paragraph

Article in Biophysical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Shape-Dependent Structural Order of Red Blood Cells.Langmuir : the ACS journal of surfaces and colloids · 2025
    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

6 authors.

Mehrnaz BabakiInstitute of Biological Information Processing IBI-4, Forschungszentrum Jülich, Jülich, Germany; Laboratory for Soft Matter and Biophysics, KU Leuven, Leuven, Belgium.
Dmitry A FedosovInstitute of Biological Information Processing and Institute for Advanced Simulation, Forschungszentrum Jülich, Jülich, Germany.
Amirreza GholivandInstitute of Biological Information Processing IBI-4, Forschungszentrum Jülich, Jülich, Germany; Laboratory for Soft Matter and Biophysics, KU Leuven, Leuven, Belgium.
Joeri OpdamLaboratory of Physical Chemistry, Department of Chemical Engineering and Chemistry, and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, the Netherlands.
Remco TuinierLaboratory of Physical Chemistry, Department of Chemical Engineering and Chemistry, and Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, the Netherlands.
Minne Paul LettingaInstitute of Biological Information Processing IBI-4, Forschungszentrum Jülich, Jülich, Germany; Laboratory for Soft Matter and Biophysics, KU Leuven, Leuven, Belgium. Electronic address: p.lettinga@fz-juelich.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells in living organisms are subjected to mechanical strains caused by external forces like overcrowding, resulting in strong deformations that affect cell function. We study the interplay between deformation and crowding of red blood cells (RBCs) in dispersions of nonabsorbing rod-like viruses. We identify a sequence of configurational transitions of RBC doublets, including configurations that can only be induced by long-ranged attraction: highly fluctuating T-shaped and face-to-face configurations at low, and doublets approaching a complete spherical configuration at high, rod concentrations. Complementary simulations are used to explore different energy contributions to deformation as well as the stability of RBC doublet configurations. Our advanced analysis of 3D reconstructed confocal images of RBC doublets quantifies the depletion interaction and the resulting deformation energy. Thus, we introduce a noninvasive, high-throughput platform that is generally applicable to investigate the mechanical response of biological cells to external forces and characterize their mechanical properties.

Indexed as

Erythrocyte DeformabilityErythrocytes

Identifiers

PMID36964658
PMCPMC10183325

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.