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1000 Titel
  • Quantitative cell-based model predicts mechanical stress response of growing tumor spheroids over various growth conditions and cell lines
1000 Autor/in
  1. Van Liedekerke, Paul |
  2. Neitsch, Johannes |
  3. Johann, Tim |
  4. Alessandri, Kevin |
  5. Nassoy, Pierre |
  6. Drasdo, Dirk |
1000 Erscheinungsjahr 2019
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-03-08
1000 Erschienen in
1000 Quellenangabe
  • 15(3):e1006273
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pcbi.1006273 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538187/ |
1000 Ergänzendes Material
  • https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006273#sec028 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Model simulations indicate that the response of growing cell populations on mechanical stress follows the same functional relationship and is predictable over different cell lines and growth conditions despite experimental response curves look largely different. We develop a hybrid model strategy in which cells are represented by coarse-grained individual units calibrated with a high resolution cell model and parameterized by measurable biophysical and cell-biological parameters. Cell cycle progression in our model is controlled by volumetric strain, the latter being derived from a bio-mechanical relation between applied pressure and cell compressibility. After parameter calibration from experiments with mouse colon carcinoma cells growing against the resistance of an elastic alginate capsule, the model adequately predicts the growth curve in i) soft and rigid capsules, ii) in different experimental conditions where the mechanical stress is generated by osmosis via a high molecular weight dextran solution, and iii) for other cell types with different growth kinetics from the growth kinetics in absence of external stress. Our model simulation results suggest a generic, even quantitatively same, growth response of cell populations upon externally applied mechanical stress, as it can be quantitatively predicted using the same growth progression function.
1000 Sacherschließung
lokal Cell cycle and cell division
lokal Compression
lokal HT29 cells
lokal Simulation and modeling
lokal Dextran
lokal Mechanical stress
lokal Cellular stress responses
lokal Radii
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-9314-6281|https://frl.publisso.de/adhoc/uri/TmVpdHNjaCwgSm9oYW5uZXM=|https://frl.publisso.de/adhoc/uri/Sm9oYW5uLCBUaW0=|https://frl.publisso.de/adhoc/uri/QWxlc3NhbmRyaSwgS2V2aW4=|https://orcid.org/0000-0003-4615-9431|https://orcid.org/0000-0002-9995-5987
1000 Label
1000 Förderer
  1. Institut National de la Santé et de la Recherche Médicale |
  2. ITMO University |
  3. Seventh Framework Programme |
  4. Bundesministerium für Bildung und Forschung |
  5. Agence Nationale de la Recherche |
1000 Fördernummer
  1. -
  2. -
  3. -
  4. -
  5. 2012-1-PL BIO-09-IO
1000 Förderprogramm
  1. Physicancer
  2. INVADE (France)
  3. Notox
  4. Virtual Liver Network, LiSym, LEBERSIMULATOR
  5. INCA, ANR (Blanc SVSE5 “Invaders”)
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Institut National de la Santé et de la Recherche Médicale |
    1000 Förderprogramm Physicancer
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer ITMO University |
    1000 Förderprogramm INVADE (France)
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Seventh Framework Programme |
    1000 Förderprogramm Notox
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm Virtual Liver Network, LiSym, LEBERSIMULATOR
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Agence Nationale de la Recherche |
    1000 Förderprogramm INCA, ANR (Blanc SVSE5 “Invaders”)
    1000 Fördernummer 2012-1-PL BIO-09-IO
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6415604.rdf
1000 Erstellt am 2019-08-02T16:24:37.836+0200
1000 Erstellt von 254
1000 beschreibt frl:6415604
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Tue Sep 14 19:04:20 CEST 2021
1000 Objekt bearb. Tue Sep 14 19:04:20 CEST 2021
1000 Vgl. frl:6415604
1000 Oai Id
  1. oai:frl.publisso.de:frl:6415604 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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