Evidence map›Paper›PMID 26929029›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2016

Multiparametric Biomechanical and Biochemical Phenotypic Profiling of Single Cancer Cells Using an Elasticity Microcytometer.

Shuhuan Hu, Guangyu Liu, Weiqiang Chen, Xiang Li, Wei Lu, Raymond H W Lam, Jianping Fu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2016. 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.

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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

7 authors.

Shuhuan HuDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, 852, Hong Kong.
Guangyu LiuDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Weiqiang ChenDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Xiang LiDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Wei LuDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Raymond H W LamDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, 852, Hong Kong.
Jianping FuDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.

Funding

VACCINIA PSA FOR ANDROGEN-MODULATED POST-SURGICAL RECURRENCE OF PROSTATE CANCERP50CA069568 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COONEY, KATHLEEN A · 1995 to 2013
$31.3M
Microfluidic Functional Immunophenotyping of Pediatric Patients Following CardiopR01HL119542 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CORNELL, TIMOTHY T, FU, JIANPING · 2014 to 2017
$2.7M
NCI NIH HHS P50 CA069568NHLBI NIH HHS R01 HL119542
6 · The paper itself

Abstract

Deep phenotyping of single cancer cells is of critical importance in the era of precision medicine to advance understanding of relationships between gene mutation and cell phenotype and to elucidate the biological nature of tumor heterogeneity. Existing microfluidic single-cell phenotyping tools, however, are limited to phenotypic measurements of 1-2 selected morphological and physiological features of single cells. Herein a microfluidic elasticity microcytometer is reported for multiparametric biomechanical and biochemical phenotypic profiling of free-floating, live single cancer cells for quantitative, simultaneous characterizations of cell size, cell deformability/stiffness, and surface receptors. The elasticity microcytometer is implemented for measurements and comparisons of four human cell lines with distinct metastatic potentials and derived from different human tissues. An analytical model is developed from first principles for the first time to convert cell deformation and adhesion information of single cancer cells encapsulated inside the elasticity microcytometer to cell deformability/stiffness and surface protein expression. Together, the elasticity microcytometer holds great promise for comprehensive molecular, cellular, and biomechanical phenotypic profiling of live cancer cells at the single cell level, critical for studying intratumor cellular and molecular heterogeneity using low-abundance, clinically relevant human cancer cells.

Indexed as

Biomechanical PhenomenaCell SeparationEpithelial Cell Adhesion MoleculeHumansMicrofluidic Analytical TechniquesTumor Cells, CulturedEpithelial Cell Adhesion Moleculecell deformabilitycell phenotypingelasticity microcytometersmicrofluidicssurface proteins

Identifiers

PMID26929029
PMCPMC6232842

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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.