Single-Cell Community Group

Our Mission

The Single-Cell Community Group provides a collaborative space for researchers and bioinformaticians to discuss best practices and innovations in single-cell cancer research. Key topics include optimizing sample collection and preservation to maintain cell viability, minimizing technical variability through standardized protocols, and using high-quality single-cell sequencing platforms like 10x Genomics and SMART-seq. The group also emphasizes the importance of stringent quality control during data processing, leveraging multi-omics integration (e.g., genomics, transcriptomics, and proteomics), and addressing tumor heterogeneity by stratifying cell populations.

Our Focus

Incorporating spatial transcriptomics and utilizing robust bioinformatics pipelines such as Seurat, Monocle, and CellRanger are essential for understanding complex tumor microenvironments and interactions. The group promotes interdisciplinary collaboration, ensuring accurate interpretation of single-cell data across computational biology, oncology, and immunology fields.

Meeting Topics

• Regular meetings and a dedicated Microsoft Teams channel provide opportunities for networking, sharing information, and solving challenges related to single-cell research.
• This group also focuses on reproducibility, data sharing, ethical considerations, and the computational resources needed to manage large-scale datasets.
• Fostering knowledge exchange and collaboration, the group aims to drive advancements in single-cell techniques and cancer research.