Evidence map›Paper›PMID 39630916›Full record

ArticleScience advances2024

Real-time viscoelastic deformability cytometry: High-throughput mechanical phenotyping of liquid and solid biopsies.

Mohammad Asghari, Sarah Duclos Ivetich, Mahmut Kamil Aslan, Morteza Aramesh, Oleksandr Melkonyan, Yingchao Meng, Rong Xu, Monika Colombo, Tobias Weiss, Stefan Balabanov and 2 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

12 authors.

Mohammad AsghariInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0002-2151-5738
Sarah Duclos IvetichInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland.ORCID 0009-0005-8201-221X
Mahmut Kamil AslanInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland.
Morteza ArameshDepartment of Materials Science and Engineering, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-2071-1929
Oleksandr MelkonyanInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland.
Yingchao MengInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0001-9097-0868
Rong XuDepartment of Neurology, University Hospital Zürich, 8091 Zürich, Switzerland.ORCID 0009-0000-3872-6681
Monika ColomboInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0002-6658-4438
Tobias WeissDepartment of Neurology, University Hospital Zürich, 8091 Zürich, Switzerland.ORCID 0000-0002-5533-9429
Stefan BalabanovClinic for Medical Oncology and Hematology, University Hospital Zürich, 8091 Zürich, Switzerland.ORCID 0000-0002-2292-9297
Stavros StavrakisInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0002-0888-5953
Andew J deMelloInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0003-1943-1356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In principle, the measurement of mechanical property differences between cancer cells and their benign counterparts enables the detection, diagnosis, and classification of diseases. Despite the existence of various mechanophenotyping methods, the ability to perform high-throughput single-cell deformability measurements on liquid and/or solid tissue biopsies remains an unmet challenge within clinical settings. To address this issue, we present an ultrahigh-throughput viscoelastic microfluidic platform able to measure the mechanical properties of single cells at rates of up to 100,000 cells per second (and up to 10,000 cells per second in real time). To showcase the utility of the presented platform in clinical scenarios, we perform single-cell phenotyping of both liquid and solid tumor biopsies, cytoskeletal drug analysis, and identification of malignant lymphocytes in peripheral blood samples. Our viscoelastic microfluidic methodology offers opportunities for high-throughput, label-free single-cell analysis, with diverse applications in clinical diagnostics and personalized medicine.

Indexed as

Single-Cell AnalysisBiopsyCell Line, TumorElasticityFlow CytometryHigh-Throughput Screening AssaysHumansLiquid BiopsyMicrofluidic Analytical TechniquesMicrofluidicsNeoplasmsPhenotypeViscosity

Identifiers

PMID39630916
PMCPMC11616701

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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.