The virtual workshop “Spatial Single Cell Analysis” took place on February 10, 2021, and was hosted by SCOG founders Professor Nikolaus Rajewsky (Berlin Institute of Medical Systems Biology of the Max Delbrück Center for Molecular Medicine in the Helmholtz Association) and Professor Fabian Theis (Institute of Computational Biology of Helmholtz Zentrum München). SCOG is the acronym for Single Cell Omics Germany, a nationwide network that brings together researchers using and developing single cell technologies to generate insights into biological systems. It is funded by the German Federal Ministry of Education and Research (BMBF).
Highly renowned international experts and pioneers in the field of spatial single cell analysis and spatially resolved transcriptomics presented their current research to more than 700 participants in two sessions. At the end of each session, attendees had the opportunity to ask the speakers questions in a panel discussion. This Q&A format sparked a lively discussion, which was even continued afterwards in the chat group and on Twitter. Very positive feedback from the speakers and participants is a testament of the event’s success. The overall consensus after an afternoon of exciting scientific talks and discussion was clear: The era of spatial transcriptomics has only just begun!
Interested scientists who could not join live, still have the chance to watch the recordings of the sessions on either theor its YouTube channel ( and ).
Text: Marco Uhrig
With more than 140 active partners across Germany plus more than 340 members worldwide, the network Single Cell Omics Germany (SCOG) brings together researchers using and developing single cell technologies to generate insights into biological systems. Its mission is to provide a collaborative platform for the exchange of both computational and experimental methods and expertise, thereby strengthening single cell research in Germany. Connecting the German single cell community with relevant international initiatives (such as the HCA, IHEC and LifeTime), the network is helping to address biomedical questions and foster translational research.
If you conduct single cell research, please consider joining our network as a member (PhD student, postdoc) or partner (PI).and follow us on Twitter ( ) and .