z-logo
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.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom