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1.
J Biol Chem ; 300(5): 107280, 2024 May.
Article in English | MEDLINE | ID: mdl-38588810

ABSTRACT

Evolutionarily conserved structural folds can give rise to diverse biological functions, yet predicting atomic-scale interactions that contribute to the emergence of novel activities within such folds remains challenging. Pancreatic-type ribonucleases illustrate this complexity, sharing a core structure that has evolved to accommodate varied functions. In this study, we used ancestral sequence reconstruction to probe evolutionary and molecular determinants that distinguish biological activities within eosinophil members of the RNase 2/3 subfamily. Our investigation unveils functional, structural, and dynamical behaviors that differentiate the evolved ancestral ribonuclease (AncRNase) from its contemporary eosinophil RNase orthologs. Leveraging the potential of ancestral reconstruction for protein engineering, we used AncRNase predictions to design a minimal 4-residue variant that transforms human RNase 2 into a chimeric enzyme endowed with the antimicrobial and cytotoxic activities of RNase 3 members. This work provides unique insights into mutational and evolutionary pathways governing structure, function, and conformational states within the eosinophil RNase subfamily, offering potential for targeted modulation of RNase-associated functions.


Subject(s)
Eosinophils , Humans , Amino Acid Sequence , Eosinophils/metabolism , Eosinophils/enzymology , Evolution, Molecular , Ribonucleases/metabolism , Ribonucleases/chemistry , Ribonucleases/genetics , Animals , Macaca fascicularis , Phylogeny , Models, Molecular , Protein Structure, Tertiary
2.
J Biol Chem ; 297(5): 101308, 2021 11.
Article in English | MEDLINE | ID: mdl-34673030

ABSTRACT

The design of allosteric modulators to control protein function is a key objective in drug discovery programs. Altering functionally essential allosteric residue networks provides unique protein family subtype specificity, minimizes unwanted off-target effects, and helps avert resistance acquisition typically plaguing drugs that target orthosteric sites. In this work, we used protein engineering and dimer interface mutations to positively and negatively modulate the immunosuppressive activity of the proapoptotic human galectin-7 (GAL-7). Using the PoPMuSiC and BeAtMuSiC algorithms, mutational sites and residue identity were computationally probed and predicted to either alter or stabilize the GAL-7 dimer interface. By designing a covalent disulfide bridge between protomers to control homodimer strength and stability, we demonstrate the importance of dimer interface perturbations on the allosteric network bridging the two opposite glycan-binding sites on GAL-7, resulting in control of induced apoptosis in Jurkat T cells. Molecular investigation of G16X GAL-7 variants using X-ray crystallography, biophysical, and computational characterization illuminates residues involved in dimer stability and allosteric communication, along with discrete long-range dynamic behaviors involving loops 1, 3, and 5. We show that perturbing the protein-protein interface between GAL-7 protomers can modulate its biological function, even when the overall structure and ligand-binding affinity remains unaltered. This study highlights new avenues for the design of galectin-specific modulators influencing both glycan-dependent and glycan-independent interactions.


Subject(s)
Apoptosis , Galectins , Immune Tolerance , Protein Multimerization , T-Lymphocytes/immunology , Allosteric Regulation , Apoptosis/genetics , Apoptosis/immunology , Galectins/chemistry , Galectins/genetics , Galectins/immunology , Humans , Jurkat Cells , Protein Multimerization/genetics , Protein Multimerization/immunology
3.
Nat Commun ; 12(1): 1597, 2021 03 12.
Article in English | MEDLINE | ID: mdl-33712617

ABSTRACT

Protein-protein interactions (PPIs) between modular binding domains and their target peptide motifs are thought to largely depend on the intrinsic binding specificities of the domains. The large family of SRC Homology 3 (SH3) domains contribute to cellular processes via their ability to support such PPIs. While the intrinsic binding specificities of SH3 domains have been studied in vitro, whether each domain is necessary and sufficient to define PPI specificity in vivo is largely unknown. Here, by combining deletion, mutation, swapping and shuffling of SH3 domains and measurements of their impact on protein interactions in yeast, we find that most SH3s do not dictate PPI specificity independently from their host protein in vivo. We show that the identity of the host protein and the position of the SH3 domains within their host are critical for PPI specificity, for cellular functions and for key biophysical processes such as phase separation. Our work demonstrates the importance of the interplay between a modular PPI domain such as SH3 and its host protein in establishing specificity to wire PPI networks. These findings will aid understanding how protein networks are rewired during evolution and in the context of mutation-driven diseases such as cancer.


Subject(s)
Protein Interaction Maps , Proteins/chemistry , src Homology Domains , HEK293 Cells , Humans , Protein Interaction Domains and Motifs , Proteins/metabolism , Saccharomyces cerevisiae/metabolism , src Homology Domains/genetics
4.
Nat Commun ; 10(1): 4845, 2019 10 24.
Article in English | MEDLINE | ID: mdl-31649244

ABSTRACT

Site-specific DNA recombinases are important genome engineering tools. Chemical- and light-inducible recombinases, in particular, enable spatiotemporal control of gene expression. However, inducible recombinases are scarce due to the challenge of engineering high performance systems, thus constraining the sophistication of genetic circuits and animal models that can be created. Here we present a library of >20 orthogonal inducible split recombinases that can be activated by small molecules, light and temperature in mammalian cells and mice. Furthermore, we engineer inducible split Cre systems with better performance than existing systems. Using our orthogonal inducible recombinases, we create a genetic switchboard that can independently regulate the expression of 3 different cytokines in the same cell, a tripartite inducible Flp, and a 4-input AND gate. We quantitatively characterize the inducible recombinases for benchmarking their performances, including computation of distinguishability of outputs. This library expands capabilities for multiplexed mammalian gene expression control.


Subject(s)
Cold Temperature , DNA/metabolism , Genetic Engineering/methods , Light , Recombinases/genetics , Animals , DNA Nucleotidyltransferases , Gene Regulatory Networks , HEK293 Cells , Humans , Integrases , Mice , Recombinases/metabolism
5.
Nat Biotechnol ; 35(5): 453-462, 2017 05.
Article in English | MEDLINE | ID: mdl-28346402

ABSTRACT

Engineered genetic circuits for mammalian cells often require extensive fine-tuning to perform as intended. We present a robust, general, scalable system, called 'Boolean logic and arithmetic through DNA excision' (BLADE), to engineer genetic circuits with multiple inputs and outputs in mammalian cells with minimal optimization. The reliability of BLADE arises from its reliance on recombinases under the control of a single promoter, which integrates circuit signals on a single transcriptional layer. We used BLADE to build 113 circuits in human embryonic kidney and Jurkat T cells and devised a quantitative, vector-proximity metric to evaluate their performance. Of 113 circuits analyzed, 109 functioned (96.5%) as intended without optimization. The circuits, which are available through Addgene, include a 3-input, two-output full adder; a 6-input, one-output Boolean logic look-up table; circuits with small-molecule-inducible control; and circuits that incorporate CRISPR-Cas9 to regulate endogenous genes. BLADE enables execution of sophisticated cellular computation in mammalian cells, with applications in cell and tissue engineering.


Subject(s)
Cellular Reprogramming Techniques/methods , Gene Regulatory Networks/genetics , Genetic Engineering/methods , Models, Genetic , Proteome/genetics , Signal Transduction/genetics , Computer Simulation , Computers, Molecular , Humans , Jurkat Cells
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