Evidence map›Paper›PMID 26194428›Full record

ReviewAnnual review of biomedical engineering2015

High-Throughput Assessment of Cellular Mechanical Properties.

Eric M Darling, Dino Di Carlo

Abstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. Review
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  4. Mechanomedicine.Nature reviews bioengineering · 2026
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23 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

2 authors.

Eric M DarlingCenter for Biomedical Engineering.
Dino Di CarloDepartment of Bioengineering.

Funding

High-yield, lineage-specific enrichment of living mesenchymal stem cellsR01AR063642 · NIAMS · BROWN UNIVERSITY · PI DARLING, ERIC M · 2013 to 2018
$1.8M
NIAMS NIH HHS R01 AR063642
6 · The paper itself

Abstract

Traditionally, cell analysis has focused on using molecular biomarkers for basic research, cell preparation, and clinical diagnostics; however, new microtechnologies are enabling evaluation of the mechanical properties of cells at throughputs that make them amenable to widespread use. We review the current understanding of how the mechanical characteristics of cells relate to underlying molecular and architectural changes, describe how these changes evolve with cell-state and disease processes, and propose promising biomedical applications that will be facilitated by the increased throughput of mechanical testing: from diagnosing cancer and monitoring immune states to preparing cells for regenerative medicine. We provide background about techniques that laid the groundwork for the quantitative understanding of cell mechanics and discuss current efforts to develop robust techniques for rapid analysis that aim to implement mechanophenotyping as a routine tool in biomedicine. Looking forward, we describe additional milestones that will facilitate broad adoption, as well as new directions not only in mechanically assessing cells but also in perturbing them to passively engineer cell state.

Indexed as

AcousticsBiomechanical PhenomenaBiomedical EngineeringCell SeparationDrug Evaluation, PreclinicalFlow CytometryHigh-Throughput Screening AssaysHumansHydrodynamicsImmune System PhenomenaMicrofluidic Analytical TechniquesMicroscopy, Atomic ForceNeoplasmsOptical PhenomenaOptical TweezersOsmotic Pressurecancercell sortingenrichmentinertial microfluidicsmechanical phenotypingmechanophenotypingsingle-cell analysis

Identifiers

PMID26194428
PMCPMC8204286

What OpenQuestion holds

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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.