Sentence examples for stochastic stem from inspiring English sources

In acute lymphoblastic leukemia (ALL) leukemia initiating cells (LICs) have been considered to be organized in an hierarchical fashion, however recent findings demonstrated LIC-activity also in more committed cells supporting a stochastic stem cell concept.

These experiments are consistent with the stochastic stem cell model in these patients.

Simons discussed evidence from lineage-tracing studies of stochastic stem cell fate in adult tissues in a variety of tissue types.

This is consistent with the alternative, stochastic stem cell model in which the ability to self-renew represents a functional cellular phenotype.

It is the stochastic dynamics of this network in which several types of feedbacks give rise to the observed stochastic stem cell fate.

In addition, Simons presented robust lineage-tracing results in the intestinal crypt and indicated that stochastic stem cell loss is compensated by division of neighboring cells and thus progresses to monoclonality [ 8].

The need and opportunity for multiple levels of control of stochastic stem-cell behaviors suggests a novel interpretation of the traditional concept of the stem cell 'niche'niche

Further exploration of the relationships between stochastic stem-cell dynamics, mutation and natural selection in other organ systems is clearly warranted.

In this issue of BMC Biology, for example, Dingli and Pacheco [ 10] discuss the implications of stochastic stem-cell dynamics on the accumulation of mutations in stem-cell populations.

The widespread adoption by biologists of the deterministic, stem/transit-amplifying model should be seen less as an unwillingness to accept the possibility of stochastic stem-cell behavior than as an expression of hope that the degree of individuality that stem cells display is sufficiently small as to be negligible.

Stochastic geometry stems from applied probability and has a wide range of applications in the analysis and design of wireless networks in particular for modeling and analyzing systems with random channel access (e.g., ALOHA [7,8] and carrier sensing multiple access (CSMA) [9]), single- and multi-tier cellular networks [6], and networks with cognitive abilities [7,10].