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Selection of Reprogramming Factors of Induced Pluripotent Stem Cells Based on the Protein Interaction Network and Functional Profiles

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Induced pluripotent stem cells have displayed great potential in disease investigation and drug development applications. However, selection of reprogramming factors in each cell type or disease state is both expensive and time consuming. To deal with this kind of situation, a fast computational framework was developed by optimize the reprogramming factors via the protein interaction network and gene functional profiles. It can be used to select reprogramming factors from millions of possibilities. It is anticipated that the novel approach will become a very useful tool for both basic research and drug development.

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Keywords: Candidate pluripotency genes; Dijkstra’s algorithm; Disease investigation; ESCs; Gene Ontology; Gene functional profiles; HGF-induced hepatomegaly; Protein interaction network; Reprogramming factors; STRING network; Stem cells; Yamanaka factors; c-Myc; cDNA sequences; pluripotent stem cells

Document Type: Research Article

Publication date: 2012-01-01

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  • Protein & Peptide Letters publishes short papers in all important aspects of protein and peptide research, including structural studies, recombinant expression, function, synthesis, enzymology, immunology, molecular modeling, drug design etc. Manuscripts must have a significant element of novelty, timeliness and urgency that merit rapid publication. Reports of crystallisation, and preliminary structure determinations of biologically important proteins are acceptable. Purely theoretical papers are also acceptable provided they provide new insight into the principles of protein/peptide structure and function.
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