Geometric preferences of lamellipodia extension

Kevin Kit Parker, Cliff Brangwynne, Amy Lepre, Donald E. Ingber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cell motility is accomplished by the extension of processes called lamellipodia, which are driven by local actin polymerization. Work to date has focused on the role of soluble factors and insoluble extracellular matrix (ECM) in modulating directional cell migration. We conducted studies using micropatterned substrates to elucidate how ECM regulates the direction of lamellipodial extension. When single fibroblast cells were cultured on individual cell-sized square adhesive islands coated with ECM, they extend to the edge of the island and assume a square shape. When these square cells were stimulated with platelet-derived growth factor (PDGF), they preferentially extended lamellipodia from the corners versus the sides. This preference implies that ECM geometry and higher order cell architecture governs chemical pathways that drive the extension of lamellipodia.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Pages65
Number of pages1
ISBN (Print)0780356756
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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