Evidence map›Paper›PMID 32341544›Full record

ArticleNature methods2020

A comparison of microfluidic methods for high-throughput cell deformability measurements.

Marta Urbanska, Hector E Muñoz, Josephine Shaw Bagnall, Oliver Otto, Scott R Manalis, Dino Di Carlo, Jochen Guck

Open access · greenAbstract readComparative Study
In one paragraph

Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed
12.5field-weighted citation impact, top 1% 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

123 citing papers in PubMed, 269 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Mechanomedicine.Nature reviews bioengineering · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Lab on an end: Micromanipulation using the acoustohydrodynamic pillar array as an end effector.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Review
  20. Review

63 more citing papers are in PubMed but not listed here.

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

7 authors at 5 institutions in 2 countries.

Marta Urbanska *Biotechnology Center, Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Dresden, Germany.ORCID http://orcid.org/0000-0002-6517-5958
Hector E Muñoz *Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-7851-2549
Josephine Shaw BagnallDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3415-3614
Oliver OttoBiotechnology Center, Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Dresden, Germany.ORCID http://orcid.org/0000-0003-0280-5374
Scott R ManalisDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. srm@mit.edu.ORCID http://orcid.org/0000-0001-5223-9433
Dino Di CarloDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA. dicarlo@ucla.edu.ORCID http://orcid.org/0000-0003-3942-4284
Jochen GuckBiotechnology Center, Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Dresden, Germany. jochen.guck@mpl.mpg.de.ORCID http://orcid.org/0000-0002-1453-6119
Massachusetts Institute of Technology · USTechnische Universität Dresden · DECalifornia NanoSystems Institute · USMax Planck Institute for the Science of Light · DEUniversity of California, Los Angeles · US

Funding

Quantitative and functional characterization of therapeutic resistance in cancerU54CA217377 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A, MANALIS, SCOTT R · 2017 to 2021
$10.2M
NCI NIH HHS U54 CA217377
6 · The paper itself

Abstract

The mechanical phenotype of a cell is an inherent biophysical marker of its state and function, with many applications in basic and applied biological research. Microfluidics-based methods have enabled single-cell mechanophenotyping at throughputs comparable to those of flow cytometry. Here, we present a standardized cross-laboratory study comparing three microfluidics-based approaches for measuring cell mechanical phenotype: constriction-based deformability cytometry (cDC), shear flow deformability cytometry (sDC) and extensional flow deformability cytometry (xDC). All three methods detect cell deformability changes induced by exposure to altered osmolarity. However, a dose-dependent deformability increase upon latrunculin B-induced actin disassembly was detected only with cDC and sDC, which suggests that when exposing cells to the higher strain rate imposed by xDC, cellular components other than the actin cytoskeleton dominate the response. The direct comparison presented here furthers our understanding of the applicability of the different deformability cytometry methods and provides context for the interpretation of deformability measurements performed using different platforms.

Indexed as

ActinsBridged Bicyclo Compounds, HeterocyclicCell ShapeCell SizeCytoskeletonDose-Response Relationship, DrugFlow CytometryHL-60 CellsHumansImage Processing, Computer-AssistedMicrofluidicsThiazolidinesActinsBridged Bicyclo Compounds, Heterocycliclatrunculin BThiazolidines

Identifiers

PMID32341544
PMCPMC7275893
OpenAlexW3018176642

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.