Density Based Characterization of Mechanical Cues on Cancer Cells Using Magnetic Levitation.


Journal

Advanced healthcare materials
ISSN: 2192-2659
Titre abrégé: Adv Healthc Mater
Pays: Germany
ID NLM: 101581613

Informations de publication

Date de publication:
05 2019
Historique:
received: 25 11 2018
revised: 28 02 2019
pubmed: 5 4 2019
medline: 8 7 2020
entrez: 5 4 2019
Statut: ppublish

Résumé

Extracellular matrix (ECM) stiffness is correlated to malignancy and invasiveness of cancer cells. Although the mechanism of change is unclear, mechanical signals from the ECM may affect physical properties of cells such as their density profile. The current methods, such as Percoll density-gradient centrifugation, are unable to detect minute density differences. A magnetic levitation device is developed (i.e., MagDense platform) where cells are levitated in a magnetic gradient allowing them to equilibrate to a levitation height that corresponds to their unique cellular density. In application of this system, MDA-MB-231 breast and A549 lung cancer cells are cultured and overall differences in cell density are observed in response to increasing collagen fiber density. Overall, density values are significantly more spread out for MDA-MB-231 cells extracted from the 1.44 mg mL

Identifiants

pubmed: 30946539
doi: 10.1002/adhm.201801517
doi:

Substances chimiques

Gels 0
Nuclear Proteins 0
STAT3 Transcription Factor 0
TWIST1 protein, human 0
Twist-Related Protein 1 0
Collagen 9007-34-5

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1801517

Subventions

Organisme : NCI NIH HHS
ID : U54 CA151459
Pays : United States
Organisme : National Science Foundation
ID : 1461602
Pays : International
Organisme : National Science Foundation
ID : EAGER1547791
Pays : International

Informations de copyright

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Auteurs

Murat Baday (M)

Radiology Department, Canary Center for Early Cancer Detection, Stanford University School of Medicine, Stanford University, 3155 Porter Driver, Palo Alto, 94304, CA, USA.

Ozlem Ercal (O)

Radiology Department, Canary Center for Early Cancer Detection, Stanford University School of Medicine, Stanford University, 3155 Porter Driver, Palo Alto, 94304, CA, USA.

Ayse Zisan Sahan (AZ)

Radiology Department, Canary Center for Early Cancer Detection, Stanford University School of Medicine, Stanford University, 3155 Porter Driver, Palo Alto, 94304, CA, USA.

Asude Sahan (A)

Radiology Department, Canary Center for Early Cancer Detection, Stanford University School of Medicine, Stanford University, 3155 Porter Driver, Palo Alto, 94304, CA, USA.

Baris Ercal (B)

Radiology Department, Canary Center for Early Cancer Detection, Stanford University School of Medicine, Stanford University, 3155 Porter Driver, Palo Alto, 94304, CA, USA.

Hakan Inan (H)

Radiology Department, Canary Center for Early Cancer Detection, Stanford University School of Medicine, Stanford University, 3155 Porter Driver, Palo Alto, 94304, CA, USA.

Utkan Demirci (U)

Radiology Department, Canary Center for Early Cancer Detection, Stanford University School of Medicine, Stanford University, 3155 Porter Driver, Palo Alto, 94304, CA, USA.

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Classifications MeSH