2011
DOI: 10.1007/s12668-011-0028-z
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Biochips for Regenerative Medicine: Real-time Stem Cell Continuous Monitoring as Inferred by High-Throughput Gene Analysis

Abstract: Regenerative medicine is a novel clinical branch aiming at the cure of diseases by replacement of damaged tissues. The crucial use of stem cells makes this area rich of challenges, given the poorly understood mechanisms of differentiation. One highly needed and yet unavailable technology should allow us to monitor L. Zhu and G. del Vecchio contributed equally to this work. Electronic supplementary materialThe online version of this article

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Cited by 2 publications
(3 citation statements)
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“…Pharmaceutic research is also interested in following metabolic processes to estimate drug efficiency tested in vitro [7]. A further example can be found in regenerative medicine with stem cells: the poor knowledge about differentiation mechanisms requires novel technologies to monitor stem cell differentiation to optimize their implant in vivo [8].…”
Section: Metabolite Detection In Cell Culture Mediummentioning
confidence: 99%
“…Pharmaceutic research is also interested in following metabolic processes to estimate drug efficiency tested in vitro [7]. A further example can be found in regenerative medicine with stem cells: the poor knowledge about differentiation mechanisms requires novel technologies to monitor stem cell differentiation to optimize their implant in vivo [8].…”
Section: Metabolite Detection In Cell Culture Mediummentioning
confidence: 99%
“…Embryonic stem cells, for example, can express biomarkers such as POU transcription factor octamer-4 (Oct-4), placental alkalin phosphatase (AP), several stage-specific embryonic antigene (SSEA), etc., [9]. Cytokines are also interesting biomarkers, because they are involved in intracellular communication and help cells toward proliferation and differentiation into specific lineage.…”
Section: A Analytesmentioning
confidence: 99%
“…DNA analysis can be determined by spectrophotometric methods at 254 or 256 nm, electrophoresis, or fluorescence methods [10]. However, microarray methods are by far the most common strategies for gene expression analysis [9].…”
Section: A Analytesmentioning
confidence: 99%