Evidence map›Paper›PMID 32317728›Full record

ArticleScientific reports2020

Multiple particle tracking analysis in isolated nuclei reveals the mechanical phenotype of leukemia cells.

Diego Herráez-Aguilar, Elena Madrazo, Horacio López-Menéndez, Manuel Ramírez, Francisco Monroy, Javier Redondo-Muñoz

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Stochastic motility energetics reveals cooperative bacterial swarming in optical tweezers.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. When nasal cytology detects acute lymphoblastic leukaemia: New diagnostical implications.Cytopathology : official journal of the British Society for Clinical Cytology · 2022
    Article
  10. Article
  11. Passive and Active Microrheology for Biomedical Systems.Frontiers in bioengineering and biotechnology · 2022
    Review
  12. Article
  13. The Cancer Microenvironment: Mechanical Challenges of the Metastatic Cascade.Frontiers in bioengineering and biotechnology · 2021
    Review
  14. 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

6 authors.

Diego Herráez-AguilarDepartment of Physical Chemistry, Complutense University, 28040, Madrid, Spain.
Elena MadrazoDepartment of Immunology, Hospital 12 de Octubre Health Research Institute (imas12), School of Medicine, Complutense University, 28040, Madrid, Spain.ORCID http://orcid.org/0000-0002-0404-572X
Horacio López-MenéndezDepartment of Physical Chemistry, Complutense University, 28040, Madrid, Spain.
Manuel RamírezOncolohematology. Hospital Universitario Niño Jesús, Madrid, Spain.ORCID http://orcid.org/0000-0003-0332-6973
Francisco MonroyDepartment of Physical Chemistry, Complutense University, 28040, Madrid, Spain. monroy@ucm.es.ORCID http://orcid.org/0000-0001-6455-3083
Javier Redondo-MuñozDepartment of Immunology, Hospital 12 de Octubre Health Research Institute (imas12), School of Medicine, Complutense University, 28040, Madrid, Spain. javredon@ucm.es.ORCID http://orcid.org/0000-0003-0607-2171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nucleus is fundamentally composed by lamina and nuclear membranes that enclose the chromatin, nucleoskeletal components and suspending nucleoplasm. The functional connections of this network integrate external stimuli into cell signals, including physical forces to mechanical responses of the nucleus. Canonically, the morphological characteristics of the nucleus, as shape and size, have served for pathologists to stratify and diagnose cancer patients; however, novel biophysical techniques must exploit physical parameters to improve cancer diagnosis. By using multiple particle tracking (MPT) technique on chromatin granules, we designed a SURF (Speeded Up Robust Features)-based algorithm to study the mechanical properties of isolated nuclei and in living cells. We have determined the apparent shear stiffness, viscosity and optical density of the nucleus, and how the chromatin structure influences on these biophysical values. Moreover, we used our MPT-SURF analysis to study the apparent mechanical properties of isolated nuclei from patients of acute lymphoblastic leukemia. We found that leukemia cells exhibited mechanical differences compared to normal lymphocytes. Interestingly, isolated nuclei from high-risk leukemia cells showed increased viscosity than their counterparts from normal lymphocytes, whilst nuclei from relapsed-patient's cells presented higher density than those from normal lymphocytes or standard- and high-risk leukemia cells. Taken together, here we presented how MPT-SURF analysis of nuclear chromatin granules defines nuclear mechanical phenotypic features, which might be clinically relevant.

Indexed as

AlgorithmsCell NucleusChromatinElasticityHumansJurkat CellsLeukemiaOsmotic PressurePhenotypeRheologyViscosityChromatin

Identifiers

PMID32317728
PMCPMC7174401

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Registered trials

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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.