PhD Researcher in Novel Sample Preparation Techniques for Single-Cell Proteomics
5 days ago
Unlock the Secrets of Single-Cell Proteomics
Are you fascinated with pushing the envelope of what is technologically possible in single-cell proteomics? DTU Bioengineering has a 3-year PhD research position available, embedded within a group focused on development and application of cutting-edge LC-MS technologies.
Our Mission
Our mission in the Cell Diversity Lab is to unravel fundamental biological concepts controlling heterogeneity within complex biological systems, especially those of the blood system and cancer. Our aim is to use our leading position in the scp-MS field to identify druggable signalling mechanisms that will advance therapy and diagnostics for patients suffering from complex diseases.
The Project
The PhD project is part of the department's major long-term strategy to combine experimental and computational approaches to establish scp-MS as a routine tool for deciphering cell heterogeneity in complex biological systems. The project is primarily focused on developing novel sample preparation methods, including enrichment of Post-Translational Modifications, for conducting high-throughput scp-MS experiments.
Responsibilities and Qualifications
- Use a range of mass spectrometry data acquisition strategies to explore their application in low-input proteomics all the way down to single cells.
- Use low-volume liquid handling approaches to develop next-generation scp-MS sample preparation workflows that can be combined with PTM-enrichment.
- Explore novel chromatography approaches to enhance sensitivity for scp-MS.
Requirements
- Advanced understanding of Mass Spectrometry-based proteomics workflows.
- Track record in single-cell proteomics method development.
- Hands-on experience with LC-MS.
- Hands-on experience with mammalian cell culture techniques.
- Experience with automated, low volume liquid handling and cell sorting equipment (e.g. CellenOne).
- Fundamental knowledge about FACS and other cell isolation/analysis techniques.
- Sufficient level of computational/bioinformatics analysis of proteomics datasets with R and Python.
- Good communication skills, with an excellent command of English (written and spoken).
Assessment
The assessment of the applicants will be made by Associate Professor Erwin M. Schoof together with relevant project partners.
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