Single Cell Meets Metabolism and Cancer Biology

Metabolism affects almost all physiological processes, including the maintenance of homeostasis, cellular growth, and division. Metabolism itself is regulated by various organs and different cell types. Dysregulation of metabolism links to many diseases in modern society, including diabetes and various cancers. Intra and inter-tumoral heterogeneity of cancer cells has been recently recognized as a leading factor in determining disease progression and resistance to therapy. With the rapid advances in the development of single cell sequencing technologies, a better and deeper characterization and understanding of metabolic and tumor heterogeneity in gene expression, genetic mutation, and epigenomic levels has been achieved. Yet detailed studies to understand the molecular mechanism and facilitate clinical applications in metabolism and cancer biology at a single cell level remain in their infancy, largely due to the complex nature of heterogeneity and the involved cellular phenotypes, which present formidable barriers to further advancement.

This Research Topic is dedicated to publishing studies improving our knowledge on metabolism and cancer biology based on state-of-the-art single cell technologies, which will shed light on the deeper mechanistic understanding and potential translational applications in metabolic disorders and cancer biology.

This Research Topic welcomes original research articles and reviews on themes including, but not limited to:

1. Data analysis related to cancer or metabolic disease.
2. Data analysis involving single-cell analysis.
3. Imaging analysis at single-cell level.
4. Application of machine-learning involving single-cell data.
5. Resource involving single-cell data.


This collection derived from research presented at the Keystone Symposia 'Single Cell Biology', held on March 17-19, 2021.