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AUNAB - Aarhus University Network on Artificial Biology

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Recent research news on Artificial Biology

27 November 2023 - Research news

In this work, synthetic cells equipped with an artificial signaling pathway that connects an extracellular trigger event to the activation of intracellular transcription are engineered. Learning from nature, this is done via an engineering of responsive enzymes, such that activation of enzymatic activity can be triggered by an external biochemical stimulus. Reversibly deactivated creatine kinase to achieve triggered production of adenosine triphosphate, and a reversibly deactivated nucleic acid…

01 May 2023 - Research news

Nanopores are label-free single-molecule analytical tools that show great potential for stochastic sensing of proteins. Here, we described a ClyA nanopore functionalized with different nanobodies through a 5–6 nm DNA linker at its periphery. Ty1, 2Rs15d, 2Rb17c, and nb22 nanobodies were employed to specifically recognize the large protein SARS-CoV-2 Spike, a medium-sized HER2 receptor, and the small protein murine urokinase-type plasminogen activator (muPA), respectively. The pores modified with…

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Chen, M. (2017). Nanofiber Technology for Three dimensional Nanobiointerfaces and Cellular Engineering. Abstract from 20th international conference on advanced nanotechnology, Amsterdam, Netherlands.

Taskin, M. B., Xia, D., Besenbacher, F., Dong, MD. & Chen, M. (2017). Nanotopography Featured Polycaprolactone/Polyethyleneoxide Microfibers Modulate Endothelial Cell Response. Nanoscale, 9(26), 9218-9229. https://doi.org/10.1039/c7nr03326e

Su, Y., Zhang, Z., Wang, Z., Chen, M., Dong, MD. & Han, X. (2017). Necklace-like Fiber Composite Membrane for High-efficiency Particulate Matter Capture. Applied Surface Science, 425, 220-226. https://doi.org/10.1016/j.apsusc.2017.07.036, https://doi.org/10.1016/j.apsusc.2017.07.036

Mulberg, M. W., Taskova, M., Thomsen, R. P., Okholm, A. H., Kjems, J. & Astakhova, K. (2017). New Fluorescent Nanoparticles for Ultrasensitive Detection of Nucleic Acids by Optical Methods. ChemBioChem, 18(16), 1599-1603. https://doi.org/10.1002/cbic.201700125

Pedersen, C. T., Loke, I., Lorentzen, A., Wolf, S., Kamble, M., Kristensen, S. K., Munch, D., Radutoiu, S., Spillner, E., Roepstorff, P., Thaysen-Andersen, M., Stougaard, J. & Dam, S. (2017). N-glycan maturation mutants in Lotus japonicus for basic and applied glycoprotein research. Plant Journal, 91(3), 394-407. https://doi.org/10.1111/tpj.13570

Rasmussen, M. J., Bertl, J., Guo, Q., Nielsen, M. M., Świtnicki, M., Hornshøj, H., Madsen, T., Hobolth, A. & Pedersen, J. S. (2017). Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate. eLife, 6, Article e21778. https://doi.org/10.7554/eLife.21778

Westberg, M., Bregnhøj, M., Etzerodt, M. & Ogilby, P. R. (2017). No Photon Wasted: An Efficient and Selective Singlet Oxygen Photosensitizing Protein. Journal of Physical Chemistry Part B: Condensed Matter, Materials, Surfaces, Interfaces & Biophysical, 121(40), 9366-9371. https://doi.org/10.1021/acs.jpcb.7b07831

Mulberg, M. W., Taskova, M., Thomsen, R. P., Okholm, A. H., Kjems, J. & Astakhova, K. (2017). Novel fluorescent nanoparticles for ultrasensitive identification of nucleic acids by optical methods. In Biotech, Biomaterials and Biomedical - TechConnect Briefs 2017 (Vol. 3, pp. 118-121). TechConnect. https://briefs.techconnect.org/wp-content/volumes/TCB2017v3/pdf/761.pdf

Nielsen, K. H. (2017). Omfanget af hemmelig viden må ændre vores opfattelse af, hvad viden er. Jyllands-Posten, Sektion 1, 6.

Podolskij, M. & Basse-O'Connor, A. (2017). On critical cases in limit theory for stationary increments Levy driven moving averages. Stochastics: An International Journal of Probability and Stochastic Processes , 89(1), 360-383. https://doi.org/10.1080/17442508.2016.1191493

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Kalinka Hansen