Tracing novel mediators of sphingolipid homeostasis using high-throughput visual screens


Project description
This project will take advantage of the robust microscopy setup in the lab to perform high-throughput visual screens for novel mediators of sphingolipid homeostasis in yeast. This will be done by utilizing either fluorescent proteins or sphingolipids probes to monitor local pools of specific sphingolipids against the background of a library carrying mutations in all yeast genes. Genes affecting the subcellular distribution of sphingolipids will be subject to a detailed functional analysis

Further reading
Cohen & Schuldiner (2011) Methods Mol. Biol. 781:127-159

Host institute
Weizmann Institute of Science, Rehovot, Israel
Department of Molecular Genetics
Supervisor: Maya Schuldiner

The Weizmann Institute of Science in Rehovot, Israel, is one of the world's top-ranking multidisciplinary research institutions. Noted for its wide-ranging exploration of the natural and exact sciences, the institute is home to 2,600 scientists, students, technicians and supporting staff. Being an English-speaking research institute and with nearly 100 laboratories in all different fields of biology, the Weizmann Institute is optimally set up to provide a rich intellectual environment in terms of both the opportunity to interact with colleagues from all fields of sciences and the numerous and excellent seminar series that are available.

•    We are looking for people that are passionate about cell biology, that work well in a team and enjoy taking screening approaches to uncover novel effectors of biological processes. Prior training in yeast or lipids is an advantage.
•    Proactive participation in SPHINGONET’s research & training program is expected through presentations and critical thinking at internal scientific forums, requiring excellent English presentation and writing skills. Strong communication skills and the ability to work in a team are a must.
•    Candidates must fulfill the eligibility criteria for Marie Curie Initial Training Networks (FP7).
•    Candidates should submit the complete application package.
•    Suitable candidates will be invited for an interview by the supervisor of the project.

•    PhD student for 3 years.
•    Full-time (42 hours/week).