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Synthetic “Gene Thermometers” Show How Cells Endure Heat or Cold

Gaborbalázsi labb
Gabor balázsi lab
Gábor Balázsi, PhD, right, and post-doctoral fellow Daniel Charlebois, PhD, manipulate genes at varying temperatures and visualize the cells undergoing changes caused by non-optimal temperatures.

Stony Brook, NY, October 22, 2018 – In the natural world, organisms, cells, and therefore genes respond and adjust to temperature changes on a regular basis. But when scientists study genes in the laboratory, the cells containing them are most often kept at a constant temperature, which does not match the real world and minimizes the understanding of cell/gene adjustments to temperatures during the natural living process. To better understand how genes respond to temperature fluctuations, a team of scientists at the Louis and Beatrice Laufer Center for Physical & Quantitative Biology at Stony Brook University designed a study of yeast cells. They used computational methods and matching experiments to predict and explain how heating and cooling affect synthetic genes and gene networks, which act like genetic thermometers in the cells. Their findings, published in PNAS, could potentially help scientists to better determine how temperature changes affect genes in various cell types, and thus reveal how infectious microbes or human cells respond to fever or heating-cooling. The findings may also help scientists to control genes when seeking answers to diseases caused by or associated with certain genes.

According to Gábor Balázsi, PhD, the Henry Laufer Associate Professor of Biomedical Engineering at Stony Brook University and corresponding author, the researchers found that heating and cooling alter gene function by affecting single molecules, chemical reactions and cell physiology.

They documented four key effects of non-optimal temperatures at different biological scales: 1) cells decide to keep growing or give up  2) growing cells divide more slowly 3) reaction rates increase with increased temperatures, and 4) protein structures change.

Balázsi said the results and the methodology will also help to predict how future synthetic, human-built genetic systems respond when deployed at non-standard temperatures.

The research is funded by a National Institutes of Health MIRA grant and the Laufer Center.

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