Cellular Calls: Listening in on Body's Protein "Chatter" May Lead to New Therapies

Observing signaling molecules before they leave a cell could give researchers insights into how cells in our bodies influence one another

Join Our Community of Science Lovers!

Chemical communication between cells keeps tissues functioning and systems coordinated, but eavesdropping on the conversation is challenging. Now, researchers have developed a technique to identify signaling proteins before they leave the cell. The method could help determine which cells are sending which messages—a useful tool for analyzing the interactions occurring in the mixed populations in tissues. One possible application could reveal the cues that control stem cells—an insight that researchers hope could be applied to healing damaged tissues.

The proteins targeted by the method are secreted from one cell and orchestrate the activities of nearby cells. Some signals instruct cells to grow and multiply; others "say" it is time to die. And some signals encourage stem cells—which can mature into a variety of cell types—to differentiate into specific lineages. Understanding cellular signaling is key for biologists hoping to discover how cells respond to one another and their environment. For stem cells in particular, researchers are still puzzling out exactly how they work—for example, molecules from stem cells can heal surrounding tissue. These chemical signals may prompt regeneration of missing cells, recruit other cells to the site or activate some other mechanism.

To study cells, researchers typically culture them in laboratory flasks and dishes. Those cells need a rich stew of proteins, sugars and hormones to stay alive in vitro. The proteins in the culture fluid, however, mask the signals cells send to one another in their natural environment—the body. Cell signals in vivo are even harder to analyze—in any tissue there are many different classes of cells producing a hubbub of different molecular conversations. "We don't know who is talking and who is listening," says Peter Zandstra, a professor of biomedical engineering at the University of Toronto.


On supporting science journalism

If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.


Scientists who study cellular communication often solve this signal-to-noise problem by plunking cells into protein-free media for a few hours before analysis. But they have to work fast, because that procedure starves and kills them. Also, those that survive long enough send altered signals.

"It's the classic observer effect," says Balaji Rao, an assistant professor of chemical and bimolecular engineering at North Carolina State University in Raleigh. "By taking away the proteins [in the culture], you've affected the cell physiology."

Rao and his colleagues hit on a conceptually simple solution based on a basic fact from Biology 101: Cells first build and package proteins in specialized internal structures before secreting them. Working with cultured human embryonic stem cells and mouse embryonic fibroblasts (a type of cell that builds the structural framework in tissues and is critical for wound healing), the team isolated the cellular components, or organelles, responsible for assembling the proteins. Those organelles include structures such as the endoplasmic reticulum, the Golgi apparatus and transport vesicles—the latter are essentially bags that ferry the proteins from structure to structure and then out of the cell. Then, using a sophisticated laboratory tool known as a mass spectrometer, they identified the signaling proteins in the isolated organelles, thus acquiring a snapshot of the signaling molecules that would normally be released into the soup of messages outside the cells.

The team, which described the new technique online September 15 in Molecular & Cellular Proteomics, verified its results by comparing the proteins they found with known secretory proteins made by mouse embryonic stem cells and fibroblasts. The technique will be useful for analyzing cells within mixed populations and for tracking how cells respond to a change in their environment, Rao says.

Decoding molecular cues that stem cells send and receive could be key to developing new therapies involving those cells, says Todd McDevitt, an associate professor of biomedical engineering at the Georgia Institute of Technology, who is not involved in the work. For example, discovering a particular protein signal that encourages stem cells to heal damaged tissue could lead to a drug that mimics that protein and enhances tissue repair. A cocktail of such signals might even do away with the need to transplant stem cells for such tasks. This technique will help researchers do the basic research leading to such discoveries, he says. "It could be really transformative."

It’s Time to Stand Up for Science

If you enjoyed this article, I’d like to ask for your support. Scientific American has served as an advocate for science and industry for 180 years, and right now may be the most critical moment in that two-century history.

I’ve been a Scientific American subscriber since I was 12 years old, and it helped shape the way I look at the world. SciAm always educates and delights me, and inspires a sense of awe for our vast, beautiful universe. I hope it does that for you, too.

If you subscribe to Scientific American, you help ensure that our coverage is centered on meaningful research and discovery; that we have the resources to report on the decisions that threaten labs across the U.S.; and that we support both budding and working scientists at a time when the value of science itself too often goes unrecognized.

In return, you get essential news, captivating podcasts, brilliant infographics, can't-miss newsletters, must-watch videos, challenging games, and the science world's best writing and reporting. You can even gift someone a subscription.

There has never been a more important time for us to stand up and show why science matters. I hope you’ll support us in that mission.

Thank you,

David M. Ewalt, Editor in Chief, Scientific American

Subscribe