Protease-Activatable Scaffold Proteins as Versatile Molecular Hubs in Synthetic Signaling Networks

Molecular recognition of peptides and proteins by cucurbit[n]urils: systems and applications

The development of methodology for attaching ligand binding sites to proteins of interest has accelerated biomedical science. Such protein tags have widespread applications as well as properties that significantly limit their utility. This review describes the mechanisms and applications of supramolecular systems comprising the synthetic receptors cucurbit[7]uril (Q7) or cucurbit[8]uril (Q8) and their polypeptide ligands. Molecular recognition of peptides and proteins occurs at sites of 1-3 amino acids with high selectivity and affinity via several distinct mechanisms, which are supported by extensive thermodynamic and structural studies in aqueous media. The commercial availability, low cost, high stability, and biocompatibility of these synthetic receptors has led to the development of myriad applications. This comprehensive review compiles the molecular recognition studies and the resulting applications with the goals of providing a valuable resource to the community and inspiring the next generation of innovation.

Switchable Control of Scaffold Protein Activity via Engineered Phosphoregulated Autoinhibition

Scaffold proteins operate as organizing hubs to enable high-fidelity signaling, fulfilling crucial roles in the regulation of cellular processes. Bottom-up construction of controllable scaffolding platforms is attractive for the implementation of regulatory processes in synthetic biology. Here, we present a modular and switchable synthetic scaffolding system, integrating scaffold-mediated signaling with switchable kinase/phosphatase input control. Phosphorylation-responsive inhibitory peptide motifs were fused to 14-3-3 proteins to generate dimeric protein scaffolds with appended regulatory peptide motifs. The availability of the scaffold for intermolecular partner protein binding could be lowered up to 35-fold upon phosphorylation of the autoinhibition motifs, as demonstrated using three different kinases. In addition, a hetero-bivalent autoinhibitory platform design allowed for dual-kinase input regulation of scaffold activity. Reversibility of the regulatory platform was illustrated through phosphatase-controlled abrogation of autoinhibition, resulting in full recovery of 14-3-3 scaffold activity.

Connecting Artificial Proteolytic and Electrochemical Signaling Systems with Caged Messenger Peptides

Enzymatic polypeptide proteolysis is a widespread and powerful biological control mechanism. Over the last few years, substantial progress has been made in creating artificial proteolytic systems where an input of choice modulates the protease activity and thereby the activity of its substrates. However, all proteolytic systems developed so far have relied on the direct proteolytic cleavage of their effectors. Here, we propose a new concept where protease biosensors with a tunable input uncage a signaling peptide, which can then transmit a signal to an allosteric protein reporter. We demonstrate that both the cage and the regulatory domain of the reporter can be constructed from the same peptide-binding domain, such as calmodulin. To demonstrate this concept, we constructed a proteolytic rapamycin biosensor and demonstrated its quantitative actuation on fluorescent, luminescent, and electrochemical reporters. Using the latter, we constructed sensitive bioelectrodes that detect the messenger peptide release and quantitatively convert the recognition event into electric current. We discuss the application of such systems for the construction of in vitro sensory arrays and in vivo signaling circuits.

Identification of hot regions in hub protein-protein interactions by clustering and PPRA optimization

Background

Protein–protein interactions (PPIs) are the core of protein function, which provide an effective means to understand the function at cell level. Identification of PPIs is the crucial foundation of predicting drug-target interactions. Although traditional biological experiments of identifying PPIs are becoming available, these experiments remain to be extremely time-consuming and expensive. Therefore, various computational models have been introduced to identify PPIs. In protein-protein interaction network (PPIN), Hub protein, as a highly connected node, can coordinate PPIs and play biological functions. Detecting hot regions on Hub protein interaction interfaces is an issue worthy of discussing.

Methods

Two clustering methods, LCSD and RCNOIK are used to detect the hot regions on Hub protein interaction interfaces in this paper. In order to improve the efficiency of K-means clustering algorithm, the best k value is selected by calculating the distance square sum and the average silhouette coefficients. Then, the optimization of residue coordination number strategy is used to calculate the average coordination number. In addition, the pair potentials and relative ASA (PPRA) strategy is also used to optimize the predicted results.

Results

DataHub dataset and PartyHub dataset were used to train two clustering models respectively. Experiments show that LCSD and RCNOIK have the same coverage with Hub protein datasets, and RCNOIK is slightly higher than LCSD in Precision. The predicted hot regions are closer to the standard hot regions.

Conclusions

This paper optimizes two clustering methods based on PPRA strategy. Compared our methods for hot regions prediction against the well-known approaches, our improved methods have the higher reliability and are effective for predicting hot regions on Hub protein interaction interfaces.

Dual Systems for Enhancing Control of Protein Activity through Induced Dimerization Approaches

To reveal the underpinnings of complex biological systems, a variety of approaches have been developed that allow switchable control of protein function. One powerful approach for switchable control is the use of inducible dimerization systems, which can be configured to control activity of a target protein upon induced dimerization triggered by chemicals or light. Individually, many inducible dimerization systems suffer from pre-defined dynamic ranges and overwhelming sensitivity to expression level and cellular context. Such systems often require extensive engineering efforts to overcome issues of background leakiness and restricted dynamic range. To address these limitations, recent tool development efforts have explored overlaying dimerizer systems with a second layer of regulation. Albeit more complex, the resulting layered systems have enhanced functionality, such as tighter control that can improve portability of these tools across platforms.

Programmable protein circuit design

A fundamental challenge in synthetic biology is to create molecular circuits that can program complex cellular functions. Because proteins can bind, cleave, and chemically modify one another and interface directly and rapidly with endogenous pathways, they could extend the capabilities of synthetic circuits beyond what is possible with gene regulation alone. However, the very diversity that makes proteins so powerful also complicates efforts to harness them as well-controlled synthetic circuit components. Recent work has begun to address this challenge, focusing on principles such as orthogonality and composability that permit construction of diverse circuit-level functions from a limited set of engineered protein components. These approaches are now enabling the engineering of circuits that can sense, transmit, and process information; dynamically control cellular behaviors; and enable new therapeutic strategies, establishing a powerful paradigm for programming biology.

Protein recognition by cucurbit[6]uril: high affinity N-terminal complexation

The donut-shaped cucurbit[n]urils (Qn, n = 6-8) are rigid macrocyclic receptors with widespread use in protein recognition. To date, most applications have centred on the encapsulation of N-terminal aromatic residues by Q7 or Q8. Less attention has been placed on Q6, which can recognize lysine side chains due to its high affinity for alkylamines. In this work, we investigated protein-Q6 complexation by using NMR spectroscopy. Attempts to crystallize protein-Q6 complexes were thwarted by the crystallization of Q6. We studied four proteins that vary in size, net charge, and lysine content. In addition to Q6 interactions with specific Lys or dimethylated Lys residues, we report striking evidence for N-terminal recognition. High affinity (micromolar) binding occurred with the N-terminal Met-Lys motif present in one of the four model proteins. Engineering this feature into another model protein yielded a similar high affinity site. We also present evidence for Q8 binding at this N-terminal feature. These data expand the cucurbituril toolkit for protein sensing.

Conjugated Protein Domains as Engineered Scaffold Proteins

Assembly of proteins into higher-order complexes generates specificity and selectivity in cellular signaling. Signaling complex formation is facilitated by scaffold proteins that use modular scaffolding domains, which recruit specific pathway enzymes. Multimerization and recombination of these conjugated native domains allows the generation of libraries of engineered multidomain scaffold proteins. Analysis of these engineered proteins has provided molecular insight into the regulatory mechanism of the native scaffold proteins and the applicability of these synthetic variants. This topical review highlights the use of engineered, conjugated multidomain scaffold proteins on different length scales in the context of synthetic signaling pathways, metabolic engineering, liquid-liquid phase separation, and hydrogel formation.

Modular bioengineered kinase sensors via scaffold protein-mediated split-luciferase complementation

Phosphorylation is a key regulation event in cellular signaling. To sense the underlying kinase activity, we engineered modular and easy adaptable serine kinase sensors for the exemplary kinases PKA, PKB and CHK1.

Phosphorylation is a key regulation event in cellular signaling. Sensing the underlying kinase activity is of crucial importance for its fundamental understanding and for drug development. For this, modular kinase activity sensing concepts are urgently needed. We engineered modular serine kinase sensors based on complementation of split NanoBiT luciferase on protein assembly platforms generated from the scaffold protein 14-3-3. The bioengineered platforms are modular and easy adaptable as exemplary shown using novel sensors for the kinases PKA, PKB, and CHK1. Two designs were conceptualized, both relying on binding of defined mono- or bivalent kinase recognition motifs to the 14-3-3 platform upon phosphorylation, resulting in reconstitution of active split-luciferase. Especially the design based on double phosphorylation and bivalent 14-3-3 binding exhibits high efficiency for signal amplification (>1000-fold) and sensitivity to specific kinases, including in cellular lysates.

Membrane-Bound Protein Scaffolding in Diverse Hosts Using Thylakoid Protein CURT1A

Protein scaffolding is a useful strategy for controlling the spatial arrangement of cellular components via protein-protein interactions. Protein scaffolding has primarily been used to colocalize soluble proteins in the cytoplasm, but many proteins require membrane association for proper function. Scaffolding at select membrane domains would provide an additional level of control over the distribution of proteins within a cell and could aid in exploiting numerous metabolic pathways that contain membrane-associated enzymes. We developed and characterized a membrane-bound protein scaffolding module based on the thylakoid protein CURT1A. This scaffolding module forms homo-oligomers in the membrane, causing proteins fused to CURT1A to cluster together at membrane surfaces. It is functional in diverse expression hosts and can scaffold proteins at thylakoid membranes in chloroplasts, endoplasmic reticulum in higher plants and Saccharomyces cerevisiae, and the inner membrane of Escherichia coli.

Cucurbit[8]uril Reactivation of an Inactivated Caspase-8 Mutant Reveals Differentiated Enzymatic Substrate Processing

Caspase-8 constructs featuring an N-terminal FGG sequence allow for selective twofold recognition by cucurbit[8]uril, which leads to an increase of the enzymatic activity in a cucurbit[8]uril dose-dependent manner. This supramolecular switching has enabled for the first time the study of the same caspase-8 in its two extreme states; as full monomer and as cucurbit[8]uril induced dimer. A mutated, fully monomeric caspase-8 (D384A), which is enzymatically inactive towards its natural substrate caspase-3, could be fully reactivated upon addition of cucurbit[8]uril. In its monomeric state caspase-8 (D384A) still processes a small synthetic substrate, but not the natural caspase-3 substrate, highlighting the close interplay between protein dimerization and active site rearrangement for substrate selectivity. The ability to switch the caspase-8 activity by a supramolecular system thus provides a flexible approach to studying the activity of a protein at different oligomerization states.