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Biochips for Regenerative Medicine: Real-time Stem Cell Continuous Monitoring as Inferred by High-Throughput Gene Analysis

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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 the exact (metabolic) state of stem cells differentiation to maximize the effectiveness of their implant in vivo. This is challenged by the fact that not all relevant metabolites in stem cells differentiation are known and not all metabolites can currently be continuously monitored. To bring advancements in this direction, we propose the enhancement and integration of two available technologies into a general pipeline. Namely, high-throughput biochip for gene expression screening to pre-select the variables that are most likely to be relevant in the identification of the stem cells’ state and low-throughput biochip for continuous monitoring of cell metabolism with highly sensitive carbon nanotubes-based sensors. Intriguingly, additionally to the involvement of multidisciplinary expertise (medicine, molecular biology, computer science, engineering, and physics), this whole query heavily relies on biochips: it starts in fact from the use of high-throughput ones, which output, in turn, becomes the base for the design of low-throughput, highly sensitive biochips. Future research is warranted in this direction to develop and validated the proposed device.

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Acknowledgement

This work is funded by the Sino-Swiss Science and Technology Cooperation Project (grant no.: GJHZ0911 on the Chinese side and grant no.: IZLCZ2 123967 on the Swiss side).

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Authors and Affiliations

  1. Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, 200031, Shanghai, People’s Republic of China

    Lisha Zhu, Yuanhua Liu & Christine Nardini

  2. Health Sciences and Technologies-Interdepartmental Center for Industrial Research (HST-ICIR), University of Bologna, Via Tolara di Sopra 50, 40064, Ozzano dell’Emilia, Bologna, Italy

    Giovanna del Vecchio & Laura Calzà

  3. Integrated Systems Centre, EPFL, Building INF 341, Station 14, Lausanne, 1015, Switzerland

    Giovanni de Micheli & Sandro Carrara

Authors
  1. Lisha Zhu
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  2. Giovanna del Vecchio
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  3. Giovanni de Micheli
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  4. Yuanhua Liu
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  5. Sandro Carrara
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  6. Laura Calzà
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  7. Christine Nardini
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Corresponding author

Correspondence to Christine Nardini.

Additional information

L. Zhu and G. del Vecchio contributed equally to this work.

This work is funded by the Sino-Swiss Science and Technology Cooperation Project (grant no.: GJHZ0911 on the Chinese side and grant no.: IZLCZ2 123967 on the Swiss side).

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Zhu, L., del Vecchio, G., de Micheli, G. et al. Biochips for Regenerative Medicine: Real-time Stem Cell Continuous Monitoring as Inferred by High-Throughput Gene Analysis. BioNanoSci. 1, 183–191 (2011). https://doi.org/10.1007/s12668-011-0028-z

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