  In recent years, single cell RNA sequencing has become a widely used
technique to study cellular diversity and function. However, accurately
annotating cell types from single cell data has been a challenging task, as it
requires extensive knowledge of cell biology and gene function. The emergence
of large language models such as ChatGPT and New Bing in 2023 has
revolutionized this process by integrating the scientific literature and
providing accurate annotations of cell types. This breakthrough enables
researchers to conduct literature reviews more efficiently and accurately, and
can potentially uncover new insights into cell type annotation. By using
ChatGPT to annotate single cell data, we can relate rare cell type to their
function and reveal specific differentiation trajectories of cell subtypes that
were previously overlooked. This can have important applications in
understanding cancer progression, mammalian development, and stem cell
differentiation, and can potentially lead to the discovery of key cells that
interrupt the differentiation pathway and solve key problems in the life
sciences. Overall, the future of cell type annotation in single cell data looks
promising and the Large Language model will be an important milestone in the
history of single cell analysis.
