Detection of membrane protein-protein interaction in planta based on dual-intein-coupled tripartite split-GFP association

Development of a signal-integrating reporter to monitor mitochondria-ER contacts

Mitochondria-ER contact sites (MERCS) serve as hotspots for important cellular processes, including calcium homeostasis, phospholipid homeostasis, mitochondria dynamics, and mitochondrial quality control. MERCS reporters based on complementation of GFP fragments have been designed to visualize MERCS in real-time, but we find that they do not accurately respond to changes in MERCS content. Here, we utilize split LacZ complementing fragments to develop the first MERCS reporter system (termed SpLacZ-MERCS) that continuously integrates the MERCS information within a cell and generates a fluorescent output. Our system exhibits good organelle targeting, no artifactual tethering, and effective, dynamic tracking of the MERCS level in single cells. The SpLacZ-MERCS reporter was validated by drug treatments and genetic perturbations known to affect mitochondria-ER contacts. The signal-integrating nature of SpLacZ-MERCS may enable systematic identification of genes and drugs that regulate mitochondria-ER interactions. Our successful application of the split LacZ complementation strategy to study MERCS may be extended to study other forms of inter-organellar crosstalk.

Role of autophagy-related proteins ATG8f and ATG8h in the maintenance of autophagic activity in Arabidopsis roots under phosphate starvation

Nutrient starvation-induced autophagy is a conserved process in eukaryotes. Plants defective in autophagy show hypersensitivity to carbon and nitrogen limitation. However, the role of autophagy in plant phosphate (Pi) starvation response is relatively less explored. Among the core autophagy-related (ATG) genes, ATG8 encodes a ubiquitin-like protein involved in autophagosome formation and selective cargo recruitment. The Arabidopsis thaliana ATG8 genes, AtATG8f and AtATG8h, are notably induced in roots under low Pi. In this study, we show that such upregulation correlates with their promoter activities and can be suppressed in the phosphate response 1 (phr1) mutant. Yeast one-hybrid analysis failed to attest the binding of the AtPHR1 transcription factor to the promoter regions of AtATG8f and AtATG8h. Dual luciferase reporter assays in Arabidopsis mesophyll protoplasts also indicated that AtPHR1 could not transactivate the expression of both genes. Loss of AtATG8f and AtATG8h leads to decreased root microsomal-enriched ATG8 but increased ATG8 lipidation. Moreover, atg8f/atg8h mutants exhibit reduced autophagic flux estimated by the vacuolar degradation of ATG8 in the Pi-limited root but maintain normal cellular Pi homeostasis with reduced number of lateral roots. While the expression patterns of AtATG8f and AtATG8h overlap in the root stele, AtATG8f is more strongly expressed in the root apex and root hair and remarkably at sites where lateral root primordia develop. We hypothesize that Pi starvation-induction of AtATG8f and AtATG8h may not directly contribute to Pi recycling but rely on a second wave of transcriptional activation triggered by PHR1 that fine-tunes cell type-specific autophagic activity.

A Modular Fluorescent Sensor Motif Used to Detect Opioids, Protein-Protein Interactions, and Protease Activity

Modular fluorescent sensor motifs are needed to design fluorescent sensors for detecting various cellular processes and functional molecules. Here, we took advantage of the versatility of a new sensor motif to design a series of sensors called SPOTon. SPOTon sensors integrate the signal from either opioids, protein-protein interactions, or protease activities to generate persistent green fluorescence. We demonstrate that SPOTon can be engineered with temporal gating to allow detection of these cellular events during a user-defined time window, providing temporal information about cellular processes and functional molecule release. These SPOTon sensors all show a high signal-to-noise ratio, up to 38 for chemical gated opioid detection, 147 for chemical gated protein-protein interaction detection, and 85 for protease activity detection.

Two Liberibacter Proteins Combine to Suppress Critical Innate Immune Defenses in Citrus

We adopted a systems-based approach to determine the role of two Candidatus Liberibacter asiaticus (CLas) proteins, LasP ₂₃₅ and Effector 3, in Huanglongbing (HLB) pathogenesis. While a published work suggests the involvement of these CLas proteins HLB pathogenesis, the exact structure-based mechanism of their action has not been elucidated. We conducted the following experiments to determine the structure-based mechanisms of action. First, we immunoprecipitated the interacting citrus protein partners of LasP ₂₃₅ and Effector 3 from the healthy and CLas-infected Hamlin extracts and identified them by Liquid Chromatography with tandem mass spectrometry (LC-MS/MS). Second, we performed a split green fluorescent protein (GFP) assay in tobacco to validate that the interactions observed in vitro are also retained in planta. The notable in planta citrus targets of LasP ₂₃₅ and Effector 3 include citrus innate immune proteins. Third, in vitro and in planta studies were performed to show that LasP ₂₃₅ and Effector 3 interact with and inhibit the functions of multiple citrus proteins belonging to the innate immune pathways. These inhibitory interactions led to a high level of reactive oxygen species, blocking of bactericidal lipid transfer protein (LTP), and induction of premature programed cell death (PCD), all of which are beneficial to CLas lifecycle and HLB pathogenesis. Finally, we performed molecular dynamics simulations to visualize the interactions of LasP ₂₃₅ and Effector 3, respectively, with LTP and Kunitz protease inhibitor. This led to the design of an LTP mimic, which sequestered and blocked LasP ₂₃₅ and rescued the bactericidal activity of LTP thereby proving that LasP ₂₃₅ , indeed, participates in HLB pathogenesis.

Split-enzyme immunoassay to monitor EGFR-HER2 heterodimerization on cell surfaces

Over 30,000 protein-protein interactions with pathological implications have been identified; yet, discovering and investigating drugs that target these specific interactions is greatly limited by the inability to monitor native protein-protein interactions (PPIs) efficiently. The two most frequently used tools to monitor PPIs, resonance-energy transfer (RET) assays and protein complementation assays (PCA), face significant limitations. RET assays have a narrow working range of 10 to 50 Å, while PCA require permanent attachment of a reporter probe to a protein of interest by chemical conjugation or genetic engineering. We developed a non-invasive assay platform to measure PPIs without modifications to the proteins of interest and is functional at a greater working range than RET assays. We demonstrate our approach by monitoring the EGFR-HER2 heterodimerization on relevant cell surfaces, utilizing various EGFR- and HER2-specific binders (e.g., Fab, DARPin, and VHH) fused with small fragments of a tri-part split-luciferase derived from NanoLuc®. Following independent binding of the binder fusions to their respective targets, the dimerization of EGFR and HER2 induces complementation of the luciferase fragments into a functional native structure, producing glow-type luminescence. We have confirmed the functionality of the platform to monitor EGFR-HER2 dimerization induction and inhibition. STATEMENT OF SIGNIFICANCE: We describe a platform technology for rapid monitoring of protein-protein interactions (PPIs). Our approach is uses a luciferase split into three parts - two short peptide "tags" and a large third fragment. Each of the short peptides can be fused to antibodies which bind to domains of a target antigens which orients the two tags and facilitates refolding of an active enzyme. To our knowledge this is the first example of a split-enzyme used to monitor PPIs without requiring any modification of the target proteins. We demonstrate our approach on the important PPI of HER2 and EGFR. Significantly, we quantify stimulation and inhibition of these partners, opening the possibility of using our approach to assess potential drugs without engineering cells.

Insights into the Organization of the Poxvirus Multicomponent Entry-Fusion Complex from Proximity Analyses in Living Infected Cells

Poxviruses are exceptional in having a complex entry-fusion complex (EFC) that is comprised of 11 conserved proteins embedded in the membrane of mature virions. However, the detailed architecture is unknown and only a few bimolecular protein interactions have been demonstrated by coimmunoprecipitation from detergent-treated lysates and by cross-linking. Here, we adapted the tripartite split green fluorescent protein (GFP) complementation system in order to analyze EFC protein contacts within living cells. This system employs a detector fragment called GFP1-9 comprised of nine GFP β-strands. To achieve fluorescence, two additional 20-amino-acid fragments called GFP10 and GFP11 attached to interacting proteins are needed, providing the basis for identification of the latter. We constructed a novel recombinant vaccinia virus (VACV-GFP1-9) expressing GFP1-9 under a viral early/late promoter and plasmids with VACV late promoters regulating each of the EFC proteins with GFP10 or GFP11 attached to their ectodomains. GFP fluorescence was detected by confocal microscopy at sites of virion assembly in cells infected with VACV-GFP1-9 and cotransfected with plasmids expressing one EFC-GFP10 and one EFC-GFP11 interacting protein. Flow cytometry provided a quantitative way to determine the interaction of each EFC-GFP10 protein with every other EFC-GFP11 protein in the context of a normal infection in which all viral proteins are synthesized and assembled. Previous EFC protein interactions were confirmed, and new ones were discovered and corroborated by additional methods. Most remarkable was the finding that the small, hydrophobic O3 protein interacted with each of the other EFC proteins. IMPORTANCE Poxviruses are enveloped viruses with a DNA-containing core that enters cells following fusion of viral and host membranes. This essential step is a target for vaccines and therapeutics. The entry-fusion complex (EFC) of poxviruses is unusually complex and comprised of 11 conserved viral proteins. Determination of the structure of the EFC is a prerequisite for understanding the fusion mechanism. Here, we used a tripartite split green fluorescent protein assay to determine the proximity of individual EFC proteins in living cells. A network connecting components of the EFC was derived.

Differential Diagnosis for Highly Pathogenic Avian Influenza Virus Using Nanoparticles Expressing Chemiluminescence

Highly pathogenic avian influenza (HPAI) virus is a causative agent of systemic disease in poultry, characterized by high mortality. Rapid diagnosis is crucial for the control of HPAI. In this study, we aimed to develop a differential diagnostic method that can distinguish HPAI from low pathogenic avian influenza (LPAI) viruses using dual split proteins (DSPs). DSPs are chimeras of an enzymatic split, Renilla luciferase (RL), and a non-enzymatic split green fluorescent protein (GFP). Nanoparticles expressing DSPs, sialic acid, and/or transmembrane serine protease 2 (TMPRSS2) were generated, and RL activity was determined in the presence of HPAI or LPAI pseudotyped viruses. The RL activity of nanoparticles containing both DSPs was approximately 2 × 10⁶ RLU, indicating that DSPs can be successfully incorporated into nanoparticles. The RL activity of nanoparticles containing half of the DSPs was around 5 × 10¹ RLU. When nanoparticles containing half of the DSPs were incubated with HPAI pseudotyped viruses at low pH, RL activity was increased up to 1 × 10³ RLU. However, LPAI pseudotyped viruses produced RL activity only in the presence of proteases (trypsin or TMPRSS2), and the average RL activity was around 7 × 10² RLU. We confirmed that nanoparticle fusion assay also diagnoses authentic viruses with specificity of 100% and sensitivity of 91.67%. The data indicated that the developed method distinguished HPAI and LPAI, and suggested that the diagnosis using DSPs could be used for the development of differential diagnostic kits for HPAI after further optimization.

Biosensors: A Sneak Peek into Plant Cell's Immunity

Biosensors are indispensable tools to understand a plant’s immunity as its spatiotemporal dimension is key in withstanding complex plant immune signaling. The diversity of genetically encoded biosensors in plants is expanding, covering new analytes with ever higher sensitivity and robustness, but their assortment is limited in some respects, such as their use in following biotic stress response, employing more than one biosensor in the same chassis, and their implementation into crops. In this review, we focused on the available biosensors that encompass these aspects. We show that in vivo imaging of calcium and reactive oxygen species is satisfactorily covered with the available genetically encoded biosensors, while on the other hand they are still underrepresented when it comes to imaging of the main three hormonal players in the immune response: salicylic acid, ethylene and jasmonic acid. Following more than one analyte in the same chassis, upon one or more conditions, has so far been possible by using the most advanced genetically encoded biosensors in plants which allow the monitoring of calcium and the two main hormonal pathways involved in plant development, auxin and cytokinin. These kinds of biosensor are also the most evolved in crops. In the last section, we examine the challenges in the use of biosensors and demonstrate some strategies to overcome them.

Using Tripartite Split-sfGFP for the Study of Membrane Protein-Protein Interactions

The study of protein-protein interaction (PPI) is critical for understanding cellular processes within biological systems. The conventional biomolecular fluorescence complementation (BiFC) or bipartite split-fluorescent protein (FP) is a noninvasive fluorescent-based technique that enables direct visualization of PPI in living cells once the two nonfluorescent fragments are brought into close vicinity. However, BiFC can potentially lead to a high background noise arising from an inherent feature of the irreversible self-assembly of the nonfluorescent fragments. Recently, the newly developed tripartite split-sfGFP method was demonstrated to detect membrane PPIs in plant cells without spurious background signals even when fusion proteins are highly expressed and accessible to the compartments of interaction. Here we describe a protocol for using the ß-Estradiol-inducible tripartite split-sfGFP assay for side-by-side analyses of in vivo PPI along with in situ subcellular localization of fusion proteins in agroinfiltrated Nicotiana benthamiana leaves.

Transient Gene Expression is an Effective Experimental Tool for the Research into the Fine Mechanisms of Plant Gene Function: Advantages, Limitations, and Solutions

A large data array on plant gene expression accumulated thanks to comparative omic studies directs the efforts of researchers to the specific or fine effects of the target gene functions and, as a consequence, elaboration of relatively simple and concurrently effective approaches allowing for the insight into the physiological role of gene products. Numerous studies have convincingly demonstrated the efficacy of transient expression strategy for characterization of the plant gene functions. The review goals are (i) to consider the advantages and limitations of different plant systems and methods of transient expression used to find out the role of gene products; (ii) to summarize the current data on the use of the transient expression approaches for the insight into fine mechanisms underlying the gene function; and (iii) to outline the accomplishments in efficient transient expression of plant genes. In general, the review discusses the main and critical steps in each of the methods of transient gene expression in plants; areas of their application; main results obtained using plant objects; their contribution to our knowledge about the fine mechanisms of the plant gene functions underlying plant growth and development; and clarification of the mechanisms regulating complex metabolic pathways.

Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction

Protein-protein interactions (PPIs) are the physical connections between two or more proteins via electrostatic forces or hydrophobic effects. Identification of the PPIs is pivotal, which contributes to many biological processes including protein function, disease incidence, and therapy design. The experimental identification of PPIs via high-throughput technology is time-consuming and expensive. Bioinformatics approaches are expected to solve such restrictions. In this review, our main goal is to provide an inclusive view of the existing sequence-based computational prediction of PPIs. Initially, we briefly introduce the currently available PPI databases and then review the state-of-the-art bioinformatics approaches, working principles, and their performances. Finally, we discuss the caveats and future perspective of the next generation algorithms for the prediction of PPIs.

Oryza sativa FER-LIKE FE DEFICIENCY-INDUCED TRANSCRIPTION FACTOR (OsFIT/OsbHLH156) interacts with OsIRO2 to regulate iron homeostasis

Iron (Fe) is indispensable for the growth and development of plants. It is well known that FER-LIKE FE DEFICIENCY-INDUCED TRANSCRIPTION FACTOR (FIT) is a key regulator of Fe uptake in Arabidopsis. Here, we identify the Oryza sativa FIT (also known as OsbHLH156) as the interacting partner of IRON-RELATED BHLH TRANSCRIPTION FACTOR 2 (OsIRO2) that is critical for regulating Fe uptake. The OsIRO2 protein is localized in the cytoplasm and nucleus, but OsFIT facilitates the accumulation of OsIRO2 in the nucleus. Loss-of-function mutations of OsFIT result in decreased Fe accumulation, severe Fe-deficiency symptoms, and disrupted expression of Fe-uptake genes. In contrast, OsFIT overexpression promotes Fe accumulation and the expression of Fe-uptake genes. Genetic analyses indicate that OsFIT and OsIRO2 function in the same genetic node. Further analyses suggest that OsFIT and OsIRO2 form a functional transcription activation complex to initiate the expression of Fe-uptake genes. Our findings provide a mechanism understanding of how rice maintains Fe homeostasis.

bHLH121 Functions as a Direct Link that Facilitates the Activation of FIT by bHLH IVc Transcription Factors for Maintaining Fe Homeostasis in Arabidopsis

Iron (Fe) deficiency is prevalent in plants grown in neutral or alkaline soil. Plants have evolved sophisticated mechanisms that regulate Fe homeostasis, ensuring survival. In Arabidopsis, FER-LIKE IRON DEFICIENCY-INDUCED TRANSCRIPTION FACTOR (FIT) is a crucial regulator of Fe-deficiency response. FIT is activated indirectly by basic helix-loop-helix (bHLH) IVc transcription factors (TFs) under Fe deficiency; however, it remains unclear which protein(s) act as the linker to mediate the activation of FIT by bHLH IVc TFs. In this study, we characterize the functions of bHLH121 and demonstrate that it directly associates with the FIT promoter. We found that loss-of-function mutations of bHLH121 cause severe Fe-deficiency symptoms, reduced Fe accumulation, and disrupted expression of genes associated with Fe homeostasis. Genetic analysis showed that FIT is epistatic to bHLH121 and FIT overexpression partially rescues the bhlh121 mutant. Further investigations revealed that bHLH IVc TFs interact with and promote nuclear accumulation of bHLH121. We demonstrated that bHLH121 has DNA-binding activity and can bind the promoters of the FIT and bHLH Ib genes, but we did not find that it has either direct transcriptional activation or repression activity toward these genes. Meanwhile, we found that bHLH121 functions downstream of and is a direct target of bHLH IVc TFs, and its expression is induced by Fe deficiency in a bHLH IVc-dependent manner. Taken together, these results establish that bHLH121 functions together with bHLH IVc TFs to positively regulate the expression of FIT and thus plays a pivotal role in maintaining Fe homeostasis in Arabidopsis.

Interaction profiling methods to map protein and pathway targets of bioactive ligands

Recent advances in -omic profiling technologies have ushered in an era where we no longer want to merely measure the presence or absence of a biomolecule of interest, but instead hope to understand its function and interactions within larger signaling networks. Here, we review several emerging proteomic technologies capable of detecting protein interaction networks in live cells and their integration to draft holistic maps of proteins that respond to diverse stimuli, including bioactive small molecules. Moreover, we provide a conceptual framework to combine so-called 'top-down' and 'bottom-up' interaction profiling methods and ensuing proteomic profiles to directly identify binding targets of small molecule ligands, as well as for unbiased discovery of proteins and pathways that may be directly bound or influenced by those first responders. The integrated, interaction-based profiling methods discussed here have the potential to provide a unique and dynamic view into cellular signaling networks for both basic and translational biological studies.

Development and Applications of Superfolder and Split Fluorescent Protein Detection Systems in Biology

Molecular engineering of the green fluorescent protein (GFP) into a robust and stable variant named Superfolder GFP (sfGFP) has revolutionized the field of biosensor development and the use of fluorescent markers in diverse area of biology. sfGFP-based self-associating bipartite split-FP systems have been widely exploited to monitor soluble expression in vitro, localization, and trafficking of proteins in cellulo. A more recent class of split-FP variants, named « tripartite » split-FP, that rely on the self-assembly of three GFP fragments, is particularly well suited for the detection of protein–protein interactions. In this review, we describe the different steps and evolutions that have led to the diversification of superfolder and split-FP reporter systems, and we report an update of their applications in various areas of biology, from structural biology to cell biology.

Exploring the protein-protein interaction landscape in plants

Protein-protein interactions (PPIs) represent an essential aspect of plant systems biology. Identification of key protein players and their interaction networks provide crucial insights into the regulation of plant developmental processes and into interactions of plants with their environment. Despite the great advance in the methods for the discovery and validation of PPIs, still several challenges remain. First, the PPI networks are usually highly dynamic, and the in vivo interactions are often transient and difficult to detect. Therefore, the properties of the PPIs under study need to be considered to select the most suitable technique, because each has its own advantages and limitations. Second, besides knowledge on the interacting partners of a protein of interest, characteristics of the interaction, such as the spatial or temporal dynamics, are highly important. Hence, multiple approaches have to be combined to obtain a comprehensive view on the PPI network present in a cell. Here, we present the progress in commonly used methods to detect and validate PPIs in plants with a special emphasis on the PPI features assessed in each approach and how they were or can be used for the study of plant interactions with their environment.