The Swiss Nanoscience Institute (SNI) at the University of Basel invites highly motivated scientists to apply for the SNI PhD program in Nanoscience.
Your position
For most tumors surgical dissection is still the most applied and effective treatment; however, it remains a challenge to secure the complete removal of the tumor. Explicitly the dissection of tumors with tendency to infiltrate the surrounding tissue within the peritoneal cavity. Intraoperative visualization of tumors can support the surgeon to see the edge of the tumor [1]. Hence tumor cells are targeted with biocompatible gold nanoparticles functionalized with antibody binding members of the EGFR family (anti-EGFR GNPs), on their overexpressed epidermal growth factor-receptors (EGFR) and confirmed with surface enhanced Raman spectroscopy (SERS) [2]. Thereby nanoparticle distribution, SERS signal strength and target selectivity is crucial and depends either on surface chemistry but also on GNP size and shape.
Within this PhD project, we aim to determine the effect of GNP sizes (60-5nm) and shapes (e.g. spheres, rods, triangles) to optimize target selectivity and distribution. Moreover, we will address the SERS intensity limit caused by GNP-diameter, by using assemblies of small GNPs (<20nm) connected with different types, lengths and concentration of linker molecules. Surface chemistry is characterized with inductively coupled plasma mass spectrometry, SERS, Quartz crystal microbalance and more. Assemblies are optimized based on SERS signal and fully characterized with scanning and transmission electron microscopy and atomic force microscopy. To measure the effect of the conjugates, we would like to test not only genetically manipulated ovarian cancer cells but also push this promising experimental setup further towards translational and interdisciplinary cancer research. CRISPR-Cas9-engineered ovarian cancer cells will be applied to a in vivo zebrafish embryo tumor xenograft model following on studying target specificity, distribution, SERS signal intensity and stability of large, single anti-EGFR GNPs to small, multi anti EGFR GNPs assemblies in a more complex but still well-known environment3. Importantly, the use of zebrafish tumor xenografts and PDX models allow visualization of single cells and can also be measured with SERS. To achieve this ambitious goal, this study takes advantage of established expertise and experimental capabilities in both collaborating labs.
[1] C.G.Hadjipanayis, G.Widhalm, W. Stummer, Neurosurgery 2015, 77, 663, and A.O. Fontana et al. M. J. Neurooncol. 2017, 133, 497,
[2] F. Burgio, PhD Thesis, Nov. 2019, University of Basel, and F.Burgio, D.Piffaretti, F.Schmidt, U.Pieles, M.Reinert, M.F. Ritz, S.Saxer, ACS Appl. Nano Mater. 2020, 3, 3, 2447
[3] F. Jacob et al. Cancer Res, 2018, 1, 78 (11), 2952, and Huang et al. eLife, 2020 submitted
Your profile
Candidates are required to have a MS degree in natural sciences, preferably with a solid background in the topics described above, as well as good English language skills. We seek a scientifically ambitious individual who enjoys working in an interdisciplinary and collaborative environment on a highly competitive subject.
We offer you
- Excellent scientific and social environment
- Very competitive employment conditions
- Membership in a very supportive and recognised community
The successful candidate will join an attractive interdisciplinary programme together with the ~30 currently supported scientists. The SNI covers a wide variety of topics, including cutting edge quantum physics and chemistry, material science, nanotechnology, biochemistry, cell biology, or medical research.Application / Contact
More information and the online application platform can be found at www.phd.nanoscience.ch. For questions please contact the head of the SNI PhD programme, Dr. Andreas Baumgartner (andreas.baumgartner@unibas.ch), or directly the respective project leaders. The complete application has to be submitted before 31 December 2021. Please note that the decision to fill a given vacancy can be taken at any time from now.