The new method, published today in the journal Nature Biotechnology, has implications for better understanding how different groups of cells
change during disease progression, in response to drug treatment, or across evolution.
Not exact matches
This is important, he added, because this technique is increasingly used for classifying
diseases and their subtypes, understanding gene expression
changes during development and tracking the
progression of cancer.
«Over the past ten years, several research groups, including our own, have shown the importance of certain immune cell subsets in preventing or exacerbating heart
disease in mice, but we are just beginning to understand how the metabolism and function of these immune cells
change during cardiovascular
disease progression in humans,» says Hedrick.
Our research is focused on understanding how the functions of immune cells, such as monocytes and T lymphocytes,
change during the
progression of cardiovascular
disease and cancer.