A. Holehouse

Rational design of disordered proteins for sequence-function investigation.

Combinatorial sequence elements fine-tune mitochondrial protein import to facilitate dual localization

The dual targeting of mitochondrial proteins regulates a host of cellular processes, including metabolism, cofactor biosynthesis, mitophagy, and stress responsiveness. Despite this importance, the mechanisms by which proteins dually localize are incompletely defined. Here, we identify multiple sequence elements that compromise the matrix localization of the phosphatase PPTC7 to facilitate its accumulation at the outer mitochondrial membrane (OMM), where it regulates mitophagy. We find that PPTC7 has a moderately ‘weak’ presequence, but this feature is insufficient to promote dual targeting of a generic cargo protein. Instead, our data suggest that a recently evolved glycine stretch decreases the helical potential of the PPTC7 presequence, weakening its import efficiency in vitro and in cells. Deletion of these glycine residues improves PPTC7 in vitro import and enrichment within the mitochondrial matrix, but only partially suppresses PPTC7-mediated regulation of mitophagy at the OMM. These data suggested additional elements may contribute to PPTC7 dual localization, including its mature phosphatase domain which has robust thermal stability and becomes further stabilized to an import-incompetent state upon binding to its requisite enzymatic co-factor manganese. Simultaneous increases in presequence strength and denaturation of the PPTC7 phosphatase domain are required to promote import in vitro, underscoring the multifactorial challenges associated with its matrix targeting. These data suggest that sequence-specific features can work combinatorially to impart dual-localization capacity to mitochondrial proteins, enabling functions across cellular compartments.

Chain Collapse, Reduced Dielectric, and Water Release Drive Protein Phase Separation.

Biomolecular condensates represent unique microenvironments that organize intracellular biology and promote biochemical reactions. However, the biomolecular interactions driving condensate phase separation are often weak, transient, and heterogeneous. Investigating the structural biology and chemical properties of condensate interiors has therefore proven experimentally challenging, often requiring the use of perturbative probes. To overcome this challenge, we combine label-free optical scattering and vibrational spectroscopy approaches spanning ultraviolet, visible, mid-infrared, and terahertz wavelengths with deep-learning-based ensemble prediction of intrinsically disordered protein conformations. This suite of label-free approaches provides quantitative insights into protein-protein/protein-solvent interactions and the chemical properties of condensate interiors. Investigating the N-terminal domain of the RNA DEAD-box helicase 4 (DDX4), our experimental and computational results support a model of phase separation involving protein chain collapse, reduced dielectric, and water release. These molecular events are expected to enhance the strength of multivalent protein-protein interactions within condensates, creating a positive feedback loop important for condensate growth and phase separation.