The Cell Atlas, part of the Human Protein Atlas project, is the most comprehensive database for subcellular protein localization. Read on to learn more about it!
Today we meet with Dr. Peter Thul, group leader at the Human Protein Atlas (HPA) project, in Stockholm, Sweden. Peter is one of the scientists behind the Cell Atlas: a database that provides high-resolution insights into the expression and spatiotemporal distribution of proteins within human cells.
We asked Dr. Thul 10 questions about the past, the present, and the future of the Cell Atlas.
Q1: Could you explain the Cell Atlas in simple words?
As part of the Human Protein Atlas (HPA) project, the Cell Atlas focuses on a particular aspect of the human proteome. Here, we want to know how proteins are distributed within single cells. To answer this question, we are using fluorescent immunocytochemistry, which allows us to systematically assess the protein's location in various cell lines and assign them to fine subcellular structures such as organelles.
Our images are publicly available on the HPA website and can be explored along with interactive educational sections about organelle proteomes or protein expression during the cell cycle.
Q2: What does it deliver in terms of biological insights?
Subcellular distribution is an essential step in protein characterization, as it is often directly linked to the protein's function, its regulation, and the availability of possible interaction partners. Thus, on a cellular level, the knowledge of a complete organellar proteome helps to understand its role in revealing novel functions.
Q3: What is the translational application, if any?
One possible application could be the discovery of novel biomarkers for cancer. For example, suppose we identify a gene that shows variations in the expression levels in single cells and that is correlated with the cell cycle. In that case, we can search for that gene in the HPA database (specifically in the Pathology Atlas) to understand whether it is highly expressed in a specific tumor cell line and if this correlates to shorter patient survival.