Sign in
Synthetic BiologyNature Methods
Peer-reviewed journal article

A temperature-inducible protein module for control of mammalian cell fate

William K. J. BenmaniD, Zikang Dennis HuangiD, Pavan IyengariD, Delaney WildeiD, Thomas R. MumfordiD, Lukasz J. BugajiD

Abstract

Inducible protein switches allow on-demand control of proteins in response to inputs including chemicals or light. However, these inputs either cannot be controlled with precision in space and time or cannot be applied in optically dense settings, limiting their application in tissues and organisms. Here we introduce a protein module whose active state can be reversibly toggled with a small change in temperature, a stimulus that is both penetrant and dynamic. This protein, called Melt (Membrane localization through temperature), exists as a monomer in the cytoplasm at elevated temperatures but both oligomerizes and translocates to the plasma membrane when temperature is lowered. The original Melt variant switched states between 28-32{degrees}C, and state changes could be observed within minutes of temperature change. Melt was highly modular, permitting thermal control over diverse processes including signaling, proteolysis, nuclear shuttling, cytoskeletal rearrangements, and cell death, all through straightforward end-to-end fusions. Melt was also highly tunable, giving rise to a library of variants with switch point temperatures ranging from 30-40{degrees}C. The variants with higher switch points allowed control of molecular circuits between 37{degrees}C-41{degrees}C, a well-tolerated range for mammalian cells. Finally, Melt permitted thermal control of cell death in a mouse model of human cancer, demonstrating its potential for use in animals. Thus Melt represents a versatile thermogenetic module for straightforward, non-invasive, spatiotemporally-defined control of mammalian cells with broad potential for biotechnology and biomedicine.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
23
FWCI
6.31
Field percentile
top 2%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISPiraner '19Hoffmann '25Benman '24Ferdinandus '21Liu '25Chee '22
70% semantic matchSynthetic Biology
Dan Ilya Piraner, Yan Wu, Mikhail G. Shapiro·ACS Synthetic Biology·Sep 6, 2019· 35 citations