  We present a general computational theory of stem cell networks and their
developmental dynamics. Stem cell networks are special cases of developmental
control networks. Our theory generates a natural classification of all possible
stem cell networks based on their network architecture. Each stem cell network
has a unique topology and semantics and developmental dynamics that result in
distinct phenotypes. We show that the ideal growth dynamics of multicellular
systems generated by stem cell networks have mathematical properties related to
the coefficients of Pascal's Triangle. The relationship to cancer stem cells
and their control networks is indicated. The theory lays the foundation for a
new research paradigm for understanding and investigating stem cells. The
theory of stem cell networks implies that new methods for generating and
controlling stem cells will become possible.
