Linked Life Data

17543210

Source:http://linkedlifedata.com/resource/pubmed/id/17543210

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2007-6-4
pubmed:abstractText
To analyze the spatial distribution of tumor cell lines with different invasive properties, we used time-lapse videomicroscopic recordings associated with software programs we have developed for quantification. We observed that non-invasive tumor cells rapidly formed small clusters which aggregated to form larger clusters, whereas highly invasive tumor cells remained isolated and did not form clusters. An attraction index computed from a cellular automaton model was used to quantify the degree of attraction-repulsion between cells. The results suggest that the cluster formation by noninvasive cells is not related to a global attraction model and that the random (dispersed) distribution of invasive cells is not related to cell repulsion. According to these results, we can conclude that random cell movement combined with the intrinsic properties of cells explains the phenomenon of cluster formation.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1165-158X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
52
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
54-60
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Quantitative videomicroscopic analysis of the sociologic behavior of non-invasive and invasive tumor cell lines.
pubmed:affiliation
INSERM, U514, Reims, France. jm.zahm@univ-reims.fr
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies