网爆门

Undergraduate Spearheads Study Using Physics to Understand How Cells Self-Sort

two people standing in front of research poster
Physics alumna Erin McCarthy 鈥23, right, was lead author on a study published in Physical Review Letters, which uncovered mechanisms that cause particles to sort spontaneously into different groups. Professor M. Lisa Manning, left, was a co-author.

Erin McCarthy 鈥23, physics summa cum laude, is a rarity among young scientists. As an undergraduate researcher in the College of Arts and Sciences鈥 , she guided a study that appeared in March 2024 in . It is the most-cited physics letters journal and the eighth-most cited journal in science overall.

McCarthy and postdoctoral associates Raj Kumar Manna and Ojan Damavandi developed a model that identified an unexpected collective behavior among computational particles with implications for future basic medical research and bioengineering.

鈥淚t鈥檚 very difficult to get a paper into Physical Review Letters,鈥 says , co-author and the William R. Kenan, Jr. Professor of Physics, as well as founding director of the . 鈥淵our scientific peers must judge it as exceptional.鈥

McCarthy, a New Jersey native, chose Syracuse because of its 鈥渢remendous energy,鈥 she says. 鈥淭he educational and the research side of things was amazing. I came planning to be a physics major who was premed. I loved physics and biology, and I wanted to be involved in healthcare and medicine. And I got lucky in that I met Dr. Manning as a freshman, and she introduced me to computational biophysics. I started in research during my freshman year, which is extremely unusual.鈥

鈥淓rin learned coding from scratch, and then did hours and hours of simulations, which took a lot of perseverance,鈥 says Manning. 鈥淚t鈥檚 just a fantastic testament to her work ethic and brilliance that this paper appeared in such a prestigious journal.鈥

person standing outside Physics Building
Erin McCarthy standing in front of the Physics Building during 2023 graduation weekend.

The research team used computational physics modeling to figure out the underlying mechanisms that cause particles to sort spontaneously into different groups.

Learning how particles behave in physics models could provide insight into how living biological particles鈥攃ells, proteins and enzymes鈥攔emix themselves in development.

In the early stages of an embryo, for example, cells start out in heterogeneous mixtures. Cells must self-sort into different compartments to form distinct homogenous tissues. This is one of the major collective cell behaviors at work during development of tissues and organs and organ regeneration.

鈥淐ells need to be able to organize themselves properly, segregating themselves to do their jobs,鈥 says McCarthy. 鈥淲e wanted to understand, if you remove chemistry and look strictly at physics, what are the mechanisms by which this reorganization can happen spontaneously?鈥

Previous physics investigations found that particles separate when some receive a jolt of higher temperature. As one population of particles becomes injected with energy at a small scale, it turns active鈥攐r 鈥渉ot鈥濃攚hile the other population is left inactive, or 鈥渃old.鈥 This difference in heat causes a reorganization among the two populations. These models are simplified versions of biological systems, using temperature to approximate cellular energy and movement.

鈥淗ot particles push the cold particles aside so they can take over a larger space,鈥 says co-author Manna. 鈥淏ut that only happens when a gap exists between particles.鈥

Previous modeling identified self-sorting particle behavior at less-packed, intermediate densities.

But the Syracuse team found something surprising. After injecting energy into a population of high-density particles, the hot particles did not shove cold ones around. The hot particles lacked space to do so.

That is important because biological particles鈥攑roteins in cells and cells in tissue鈥攖ypically live in tight, crowded spaces.

鈥淵our skin, for instance, is a very dense environment,鈥 says McCarthy. 鈥淐ells are packed so closely together, there’s no space between them. If we want to apply these physics findings to biology, we must look at high densities for our models to be applicable. But at very high densities, the difference in activity between two populations does not cause them to sort.鈥

There must be some other self-sorting mechanism at play in biology. 鈥淭emperature or active injection of energy does not always separate things, so you can鈥檛 use it in biology,鈥 says Manning. 鈥淵ou must search for some other mechanism.鈥

To Manning, this study illustrates the strengths of 网爆门. 鈥淭he fact that an undergraduate spearheaded this research speaks to the awesome quality of students we have at 网爆门, who are as good as those anywhere in the world, and to the exceptionalness of Erin herself,鈥 says Manning.

Manna, the postdoctoral mentor for the last part of McCarthy鈥檚 project, was essential in driving it to conclusion.

鈥淭he study wouldn鈥檛 have happened without him,鈥 says Manning. 鈥淭his demonstrates that we are able to recruit outstanding postdoctoral associates to Syracuse because we are such a great research university.鈥 Manna is now a postdoctoral fellow in the Department of Physics at Northeastern University.

McCarthy, a research technologist in a biological lab at the Northwestern University School of Medicine, plans to start applying for graduate school.

鈥淎t Syracuse,鈥 says McCarthy, 鈥淚 learned how much I love research and want it to be a part of my future.鈥

Story by John H. Tibbetts