Evidence map›Paper›PMID 24056324›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2013

A serial micropipette microfluidic device with applications to cancer cell repeated deformation studies.

Michael Mak, David Erickson

Open access · greenAbstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

35 citing papers in PubMed, 72 citations in OpenAlex.

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  7. Measuring cell deformation by microfluidics.Frontiers in bioengineering and biotechnology · 2023
    Review
  8. Article
  9. Biophysical Approaches for Applying and Measuring Biological Forces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
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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

2 authors at 2 institutions in 1 country.

Michael MakBiomedical Engineering Department, Cornell University, Ithaca, NY 14853, USA.
David Erickson
Cornell University · USIn-Q-Tel · US

Funding

TRANS-NETWORK PROJECTSU54CA143876 · NCI · CORNELL UNIVERSITY · PI SHULER, MICHAEL L · 2009 to 2014
$12.6M
NCI NIH HHS U54 CA143876NCI NIH HHS U54CA143876
6 · The paper itself

Abstract

Cells are complex viscoelastic materials that are frequently in deformed morphological states, particularly during the cancer invasion process. The ability to study cell mechanical deformability in an accessible way can be enabling in many areas of research where biomechanics is important, from cancer metastasis to immune response to stem cell differentiation. Furthermore, phenomena in biology are frequently exhibited in high multiplicity. For instance, during metastasis, cells undergoing non-proteolytic invasion squeeze through a multitude of physiological barriers, including many small pores in the dense extracellular matrix (ECM) of the tumor stroma. Therefore, it is important to perform multiple measurements of the same property even for the same cell in order to fully appreciate its dynamics and variability, especially in the high recurrence regime. We have created a simple and minimalistic micropipette system with automated operational procedures that can sample the deformation and relaxation dynamics of single-cells serially and in a parallel manner. We demonstrated its ability to elucidate the impact of an initial cell deformation event on subsequent deformations for untreated and paclitaxel treated MDA-MB-231 metastatic breast cancer cells, and we examined contributions from the cell nucleus during whole-cell micropipette experiments. Finally we developed an empirical model that characterizes the serial factor, which describes the reduction in cost for cell deformations across sequential constrictions. We performed experiments using spatial, temporal, and force scales that match physiological and biomechanical processes, thus potentially enabling a qualitatively more pertinent representation of the functional attributes of cell deformability.

Indexed as

Cell ShapeAutomationBiomechanical PhenomenaCell Line, TumorElasticityEquipment DesignExtracellular MatrixHumansMaterials TestingMicrofluidicsNeoplasm InvasivenessNeoplasm MetastasisPaclitaxelSingle-Cell AnalysisStress, MechanicalViscosityPaclitaxel

Identifiers

PMID24056324
PMCPMC4657869
OpenAlexW2142898134

What OpenQuestion holds

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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.