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The origin and developmental potential of Embryonic Stem Cells |
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(A)
Phase
contrast images of ESCs and fetal foreskin fibroblast-derived iPSCs showing similarities in cell morphologies. (B)
The
transcriptomes are 90% identical based on whole genome microarray-based
gene expression analysis. (C) Transcription of self-renewal and pluripotency
associated genes are activated upon cellular reprogramming. Prigione
et al. 2010 |
The use of embryonic stem cells in cell replacement
therapy remains problematic for a number of reasons, including ethical as
well as host rejection of allogeneic cells. As a means of overcoming these
problems, we are deriving iPSCs from healthy and diseased individuals (Type 1
diabetes, Alzheimer’s Nijmegen Breakage Syndrome and Steatosis) from
dermal fibroblasts, mesenchymal stromal cells, chorionic villi and amniotic
fluid cells employing retroviral-mediated transduction of OCT4, SOX2, KLF4
and C-MYC.
These iPS cells express telomerase
activity, pluripotency-associated cell surface antigens and genes specific to
human ES cells. Furthermore, they maintain the developmental
potential to differentiate into advanced derivates of all three primary germ
layers both in vivo and in vitro
Our research on aging is based firmly on the concept
that the same signaling mechanisms that regulate the plasticity of stem cells
are altered during aging and in age-related diseases. We also attempt to reverse
the aging phenotype of somatic cells by cellular reprogramming to by-pass
senescence. This approach enables the study of genome stability, mitochondria biogenesis and stem cell fate.
Accordingly, an understanding of molecular and signaling mechanisms
underlying the aging process is likely to lead to novel approaches to
preventing and treating age-related diseases.
The maintenance of pluripotency and self-renewal of human ES and iPS cells
are intrinsically complex processes driven by the co-ordinated dynamic
expression of a plethora of genes, their encoded proteins and associated
signalling pathways in response to external signaling cues such as FGF2. Our
systems biology approach combines high throughput approaches (OCT4 ChIP-chip,
ChIP-seq, RNAi, protein interaction networks, metabolomics and cytokine
stimulations of hESCs) and advanced computational techniques to dissect the
molecular mechanisms of stem cell fate and cellular reprogramming.
Network Reconstruction, analysis and network-based modeling of the
human ES and iPS self-renewal Gene Regulatotry Network are carried out within
the framework of the EU project “Experimental Network for Functional
Integration” (ENFIN/FP6) Enabling Systems Biology.


An OCT4 gene regulatory network is illustrated below:

STRING
network (v.8.0) based on only OCT4 /OTF3C (red) using high confidence, and network
depth 2. Green line indicates links based on textmining, violet based on
experiments.
Additionally, we have created the user-friendly database ESCDb
integrating available genomics related datasets in both human and mouse ES
and EC cells. In the current era of systems biology driven research, we
envisage that our integrated embryonic stem cell database will prove
beneficial to the booming field of ES, iPS and cancer research.
last updated: 25 January, 2010