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The analysis of single cells advances research in many fields. To properly deal with such minute amounts of sample, each step of the workflow is critical, from sampling to data analysis. Additionally, the integration of data from different approaches is becoming increasingly important to capture the whole picture. This course will cover established techniques from sampling through sequencing, protein analysis and data analysis. Samples will be collected via flow cytometry, gene expression will be analysed by qRTPCR and next generation sequencing, and protein analysis will be performed by proximity extension assays. In addition, alternative methods for the whole workflow will be covered in interactive sessions of lectures and Q&A with key experts in the field. Data collected by the different methods will be analysed during in-depth sessions, which are a strong component of the course.
This course targets young scientists entering the field of single cell analysis and wanting to learn about the benefits and limitations of the approach by performing a complete single cell analysis workflow.
For an impression of the course check the 2017 course programme.