Computational Biology of Embryonic Stem Cells

Author(s): George Plopper, Melinda Larsen and Bülent Yener

DOI: 10.2174/978160805025311201010071

Image-Enhanced Systems Biology: A Multiscale, Multidimensional Approach to Modeling and Controlling Stem Cell Function

Pp: 71-87 (17)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

The promise of stem cell-based therapy is predicated on harnessing the plasticity of stem cell phenotypes to repair or replace damaged tissues. As technologies for detecting, isolating, modifying, tracking, and even inducing stem cells improve, the very definition of what constitutes a stem cell is now an open question. Addressing this fundamental problem has triggered an explosion of activity that spans the entire breadth of biological fields, from molecular biology to population biology. While this has clearly increased the gross amount of information concerning stem cells, its net impact is limited by a lack of integrative multiscale models that are readily accessible to researchers from many disciplines. The field of embryonic stem (ES) cell biology is a good example of the strengths and limitations of the segregative reductionist approach. The goal of this brief review is to highlight some of the most promising recent advances in embryonic stem cell research, with an emphasis on how data gathered from one level can benefit research across multiple scales.

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