shop imp kerr

nswd



And her name is Ursula

145.jpg

The process of development is an astounding journey from simplicity to complexity. You start with a single cell, the fertilized egg, and you end up with a complete multicellular organism, made up of tissues that self-organize from many individual cells of different types. The question of how cells know who to be and where to go has many layers to it, starting with the question of how you lay down the basic body plan (head here, tail there, which side is left and where does the heart go?) and continuing on down to microscopic structures, with questions such as how and where to form the small tubes that will allow blood to permeate through apparently solid tissues. This kind of self-organizing behavior is deeply interesting to robotics researchers (who would love to copy it) and tissue engineers (who would like to manipulate it).

A recent paper (Parsa et al. 2011. Uncovering the behaviors of individual cells within a multicellular microvascular community) takes a close look at self-organization on the micro level. (…)

Despite the tremendous variability in the paths followed by individual cells, the authors hoped to find patterns in their data that might provide insight into how the network forms. And luckily, the patterns were there to find. Using a clustering algorithm, they identified groups of cells that behaved similarly to each other with respect to specific sets of behavioral parameters. For example, looking at the pattern of how the area of a cell grows and shrinks allowed the authors to define three major clusters of cells that accounted for about 2/3 of the cells in their study. In the same way, they could define subsets of cells that moved through the gel in similar ways. Although these clusters are rather broadly defined, they seem to be telling us something important about differences between the cells in the different subsets; the subset of cells that spread early (with areas showing a peak at 60 or 120 minutes) are more likely to end up as connection points in the network, while the cells that spread late (300 minutes) tend to end up as branches between the connection points.

{ It takes 30 | Continue reading }

photo { Charlie Engman }





kerrrocket.svg