What if you could predict which cells might become cancerous? Breast tissue changes dramatically throughout a woman’s life, so finding markers for sudden changes that can lead to cancer is especially difficult. Cold Spring Harbor Laboratory (CSHL) Associate Professor Camila dos Santos and her team identified and catalogued thousands of normal human and mouse breast cell types. The new catalogue redefines healthy breast tissue so that when something goes awry, scientists can pinpoint its origin.
Any breast cell could become cancerous. Dos Santos says:
“To understand breast cancer risk, you have to understand normal breast cells first, so when we think about preventive and even targeting therapies, you would be preventing the right cell types from developing to cancer cells.”
Mammary tissue is made up of a variety of cells, including epithelial (pink), immune (cyan), and fat (black) cells visible in this cross-section of a mouse mammary gland. CSHL Associate Professor Camila dos Santos’ team identified and catalogued thousands of human and mouse breast cells to understand the origins of breast cancer. Image credit: Camila dos Santos/dos Santos lab
A traditional way to catalogue cells is by tracking a few signature genes related to the cell’s function. To classify cells more extensively, dos Santos’ team turned to a technique known as single-cell RNA sequencing. They tracked the activity of several genes in over 15,000 cells in mouse and human breast tissue. Samantha Henry, a Stony Brook University graduate student-in-residence in dos Santos’ lab, says:
“We created a whole catalogue of many genes for each cell population to better define them. And when I say there was a lot of genes, there was a lot of genes and it took a long time to get through.”
One cell group included estrogen receptor-positive cells, which are generally amenable to treatment. But dos Santos’ team found that this group could be split into several subpopulations, where each one might have different responses to therapies.
The team, in collaboration with computational biologist CSHL Professor Adam Siepel and his team, learned that mice and human breast cells had similar genetic profiles, demonstrating why studies in mice are likely to be relevant to humans. Marygrace Trousdell, a computational science developer in the dos Santos lab, says:
“We’re always finding ourselves struggling with definitive classifications of certain cell types. Sometimes I think I’ve seen every gene out there, and then something else will pop up.”
Currently, the lab is trying to distinguish normal genetic shifts from those associated with cancer. Dos Santos hopes that her catalogue of breast cell types will point to which kinds of cells to monitor and point researchers toward treatment options in the future.
Source: CSHL