Interpretation of T cell states from single-cell transcriptomics data using reference atlases

oleh: Massimo Andreatta, Jesus Corria-Osorio, Sören Müller, Rafael Cubas, George Coukos, Santiago J. Carmona

Format: Article
Diterbitkan: Nature Portfolio 2021-05-01

Deskripsi

One challenge of single cell RNA sequencing analysis is how to consistently identify cell subtypes and states across different datasets. Here the authors propose the use of a reference single-cell atlas as a stable system of coordinates to characterize T cell states across studies, diseases and species.