Premium
Stem cells as probabilistic self‐producing entities
Author(s) -
RamalhoSantos Miguel
Publication year - 2004
Publication title -
bioessays
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.175
H-Index - 184
eISSN - 1521-1878
pISSN - 0265-9247
DOI - 10.1002/bies.20053
Subject(s) - multicellular organism , stem cell , biology , organism , complementarity (molecular biology) , cellular differentiation , cell lineage , probabilistic logic , computational biology , microbiology and biotechnology , cell , computer science , genetics , artificial intelligence , gene
Stem cells have the capacity both to self‐renew and to give rise to differentiated progeny, and are vital to the organization of multicellular organisms. Stem cells raise a number of fundamental questions regarding lineage restriction and cellular differentiation, and they hold enormous promise for cell‐based therapies. Here I propose a theoretical framework for stem cell biology based on the concepts of autopoiesis (self‐production) and complementarity. I argue that stem cells are pivotal in the self‐production of the organism and that we need complementary approaches to understand their probabilistic behavior. I discuss how this framework generates testable hypotheses regarding stem‐cell functions. BioEssays 26:1013‐1016, 2004. © 2004 Wiley Periodicals, Inc.