Mapping the Protein-Protein Interactome Networks Using Yeast Two-Hybrid Screens

The protein interactome of the citrus Huanglongbing pathogen Candidatus Liberibacter asiaticus

The bacterium Candidatus Liberibacter asiaticus (CLas) causes citrus Huanglongbing disease. Our understanding of the pathogenicity and biology of this microorganism remains limited because CLas has not yet been cultivated in artificial media. Its genome is relatively small and encodes approximately 1136 proteins, of which 415 have unknown functions. Here, we use a high-throughput yeast-two-hybrid (Y2H) screen to identify interactions between CLas proteins, thus providing insights into their potential functions. We identify 4245 interactions between 542 proteins, after screening 916 bait and 936 prey proteins. The false positive rate of the Y2H assay is estimated to be 2.9%. Pull-down assays for nine protein-protein interactions (PPIs) likely involved in flagellar function support the robustness of the Y2H results. The average number of PPIs per node in the CLas interactome is 15.6, which is higher than the numbers previously reported for interactomes of free-living bacteria, suggesting that CLas genome reduction has been accompanied by increased protein multi-functionality. We propose potential functions for 171 uncharacterized proteins, based on the PPI results, guilt-by-association analyses, and comparison with data from other bacterial species. We identify 40 hub-node proteins, including quinone oxidoreductase and LysR, which are known to protect other bacteria against oxidative stress and might be important for CLas survival in the phloem. We expect our PPI database to facilitate research on CLas biology and pathogenicity mechanisms.

Screening of genes encoding proteins that interact with Nrf2: Probing a cDNA library from Mytilus coruscus using a yeast two-hybrid system

The Nuclear factor Erythroid 2-related factor 2 (Nrf2) is the most important endogenous antioxidant factor in organisms, and it has been demonstrated that it exerts extensive control over the immune response by interacting with crucial innate immunity components directly or indirectly. Although Nrf2 has been widely confirmed to be involved in stress resistance in mammals and some fish, its contribution to mollusks oxidative stress resistance has not frequently been documented. In this investigation, total RNA was taken from the digestive gland of M. coruscus, and a cDNA library was constructed and screened using the GATEWAY recombination technology. The Nrf2 cDNA sequence of M. coruscus was cloned into the pGBKT7 vector to prepare the bait plasmid. Using yeast two-hybrid system, after auxotrophic medium screening, sequencing, and bioinformatics analysis, 13 binding proteins that interacted with Nrf2 were finally identified. They were QM-like protein, 40S ribosomal protein S4 (RPS4), ribosomal protein S2 (RPS2), ribosomal protein L12 (RPL12), EF1-alpha mRNA for elongation factor 1 alpha (eEF1-alpha), ferritin, alpha-amylase, trypsin, vdg3, period clock protein, cyclophilin A isoform 1 (CYP A), serine protease CFSP2, histone variant H2A.Z (H2A.Z). For a better understanding the physiological function of Nrf2 in animals and as a potential target for future research on protein roles in Nrf2 interactions, it is crucial to clarify these protein interactions.

A comprehensive SARS-CoV-2-human protein-protein interactome reveals COVID-19 pathobiology and potential host therapeutic targets

Studying viral-host protein-protein interactions can facilitate the discovery of therapies for viral infection. We use high-throughput yeast two-hybrid experiments and mass spectrometry to generate a comprehensive SARS-CoV-2-human protein-protein interactome network consisting of 739 high-confidence binary and co-complex interactions, validating 218 known SARS-CoV-2 host factors and revealing 361 novel ones. Our results show the highest overlap of interaction partners between published datasets and of genes differentially expressed in samples from COVID-19 patients. We identify an interaction between the viral protein ORF3a and the human transcription factor ZNF579, illustrating a direct viral impact on host transcription. We perform network-based screens of >2,900 FDA-approved or investigational drugs and identify 23 with significant network proximity to SARS-CoV-2 host factors. One of these drugs, carvedilol, shows clinical benefits for COVID-19 patients in an electronic health records analysis and antiviral properties in a human lung cell line infected with SARS-CoV-2. Our study demonstrates the value of network systems biology to understand human-virus interactions and provides hits for further research on COVID-19 therapeutics.

Screening and characterisation of proteins interacting with the mitogen-activated protein kinase Crmapk in the fungus Clonostachys chloroleuca

Clonostachys chloroleuca 67-1 (formerly C. rosea 67-1) is a promising mycoparasite with great potential for controlling various plant fungal diseases. The mitogen-activated protein kinase (MAPK)-encoding gene Crmapk is of great importance to the mycoparasitism and biocontrol activities of C. chloroleuca. To investigate the molecular mechanisms underlying the role of Crmapk in mycoparasitism, a high-quality yeast two hybrid (Y2H) library of C. chloroleuca 67-1 was constructed, and proteins interacting with Crmapk were characterised. The library contained 1.6 × 107 independent clones with a recombination rate of 96%, and most inserted fragments were > 1 kb. The pGBKT7-Crmapk bait vector with no self-activation or toxicity to yeast cells was used to screen interacting proteins from the Y2H library, resulting in 60 candidates, many linked to metabolism, cellular processes and signal transduction. Combined bioinformatics and transcriptome analyses of C. chloroleuca 67-1 and ΔCrmapk mutant mycoparasitising Sclerotinia sclerotiorum sclerotia, 41 differentially expressed genes were identified, which might be the targets of the Fus3/Kss1-MAPK pathway. The results provide a profile of potential protein interactions associated with MAPK enzymes in mycoparasites, and are of great significance for understanding the mechanisms of Crmapk regulating C. chloroleuca mycoparasitism.

A comprehensive SARS-CoV-2-human protein-protein interactome network identifies pathobiology and host-targeting therapies for COVID-19

Physical interactions between viral and host proteins are responsible for almost all aspects of the viral life cycle and the host's immune response. Studying viral-host protein-protein interactions is thus crucial for identifying strategies for treatment and prevention of viral infection. Here, we use high-throughput yeast two-hybrid and affinity purification followed by mass spectrometry to generate a comprehensive SARS-CoV-2-human protein-protein interactome network consisting of both binary and co-complex interactions. We report a total of 739 high-confidence interactions, showing the highest overlap of interaction partners among published datasets as well as the highest overlap with genes differentially expressed in samples (such as upper airway and bronchial epithelial cells) from patients with SARS-CoV-2 infection. Showcasing the utility of our network, we describe a novel interaction between the viral accessory protein ORF3a and the host zinc finger transcription factor ZNF579 to illustrate a SARS-CoV-2 factor mediating a direct impact on host transcription. Leveraging our interactome, we performed network-based drug screens for over 2,900 FDA-approved/investigational drugs and obtained a curated list of 23 drugs that had significant network proximities to SARS-CoV-2 host factors, one of which, carvedilol, showed promising antiviral properties. We performed electronic health record-based validation using two independent large-scale, longitudinal COVID-19 patient databases and found that carvedilol usage was associated with a significantly lowered probability (17%-20%, P < 0.001) of obtaining a SARS-CoV-2 positive test after adjusting various confounding factors. Carvedilol additionally showed anti-viral activity against SARS-CoV-2 in a human lung epithelial cell line [half maximal effective concentration (EC 50 ) value of 4.1 µM], suggesting a mechanism for its beneficial effect in COVID-19. Our study demonstrates the value of large-scale network systems biology approaches for extracting biological insight from complex biological processes.

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.

Identification of novel interactions between host and non-structural protein 2C of foot-and-mouth disease virus

The 2C protein of foot-and-mouth disease virus (FMDV) is reported to play a critical role in the virus replication complex and modulating the host's immune response. However, the underlying molecular intricacies of subversion of cellular machinery remains poorly understood, thus emphasizing the need to study 2C-host interactions. In this study, we identified the host proteins interacting with the 2C using yeast-two hybrid (Y2H) approach, which is one of the most recognized, high-throughput tools to study protein-protein interactions. The FMDV-2C bait was characterized for auto-activation, toxicity, and expression and was found to be suitable for mating with cDNA library. On preliminary screening a total of 32 interacting host proteins were identified which were reduced to 22 on subsequent confirmation with alternative yeast based assays. Amongst these, NMI/2C interaction has been reported earlier by Wang et al. (2012) and remaining 21 are novel interactions. The Reactome analysis has revealed the role of the identified host proteins in cellular pathways exploited by 2C during FMDV replication. We also confirmed interaction of MARCH7, an E3 ubiquitin ligase with 2C using mammalian two-hybrid system and co-immunoprecipitation. This study leads to the identification of novel 2C interacting host proteins which enhance our understanding of 2C-host interface and may provide checkpoints for development of potential therapeutics against FMDV.

Biomedical applications of yeasts - a patent view, part two: era of humanized yeasts and expanded applications

INTRODUCTION

Yeast humanization, ranging from a simple point mutation to substitution of yeast gene(s) or even a complete pathway by human counterparts has enormously expanded yeast biomedical applications.

AREAS COVERED

General and patent-oriented insights into the application of native and humanized yeasts for production of human glycoproteins (gps) and antibodies (Abs), toxicity/mutagenicity assays, treatments of gastrointestinal (GI) disorders and potential drug delivery as a probiotic (with emphasis on Saccharomyces bulardii) and studies on human diseases/cancers and screening effective drugs.

EXPERT OPINION

Humanized yeasts cover the classical advantageous features of a 'microbial eukaryote' together with advanced human cellular processes. These unique characteristics would permit their use in the production of functional and stable therapeutic gps and Abs in lower prices compared to mammalian (CHO) production-based systems. Availability of yeasts humanized for cytochrome P450 s will expand their application in metabolism-related chemical toxicity assays. Engineered S. bulardii for expression of human proteins might expand its application by synergistically combining the probiotic activity with the treatment of metabolic diseases such as phenylketonuria via GI-delivery. Yeast models of human diseases will facilitate rapid functional/phenotypic characterization of the disease-producing mutant genes and screening of the therapeutic compounds using yeast-based high-throughput research techniques (Yeast one/two hybrid systems) and viability assays.

Affinity capture of polyribosomes followed by RNAseq (ACAPseq), a discovery platform for protein-protein interactions

Defining protein-protein interactions (PPIs) is central to the biological sciences. Here, we present a novel platform - Affinity Capture of Polyribosomes followed by RNA sequencing (ACAPseq) - for identifying PPIs. ACAPseq harnesses the power of massively parallel RNA sequencing (RNAseq) to quantify the enrichment of polyribosomes based on the affinity of their associated nascent polypeptides for an immobilized protein 'bait'. This method was developed and tested using neonatal mouse brain polyribosomes and a variety of extracellular domains as baits. Of 92 baits tested, 25 identified one or more binding partners that appear to be biologically relevant; additional candidate partners remain to be validated. ACAPseq can detect binding to targets that are present at less than 1 part in 100,000 in the starting polyribosome preparation. One of the observed PPIs was analyzed in detail, revealing the mode of homophilic binding for Protocadherin-9 (PCDH9), a non-clustered Protocadherin family member.

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

We have adapted the yeast 2-hybrid assay to simultaneously uncover dozens of transient and static protein interactions within a single screen utilizing high-throughput short-read DNA sequencing. The resulting sequence datasets can not only track what genes in a population that are enriched during selection for positive yeast 2-hybrid interactions, but also give detailed information about the relevant subdomains of proteins sufficient for interaction. Here, we describe a full suite of stand-alone software programs that allow non-experts to perform all the bioinformatics and statistical steps to process and analyze DNA sequence fastq files from a batch yeast 2-hybrid assay. The processing steps covered by these software include: 1) mapping and counting sequence reads corresponding to each candidate protein encoded within a yeast 2-hybrid prey library; 2) a statistical analysis program that evaluates the enrichment profiles; and 3) tools to examine the translational frame and position within the coding region of each enriched plasmid that encodes the interacting proteins of interest.

A Yeast 2-Hybrid Screen in Batch to Compare Protein Interactions

Screening for protein-protein interactions using the yeast 2-hybrid assay has long been an effective tool, but its use has largely been limited to the discovery of high-affinity interactors that are highly enriched in the library of interacting candidates. In a traditional format, the yeast 2-hybrid assay can yield too many colonies to analyze when conducted at low stringency where low affinity interactors might be found. Moreover, without a comprehensive and complete interrogation of the same library against different bait plasmids, a comparative analysis cannot be achieved. Although some of these problems can be addressed using arrayed prey libraries, the cost and infrastructure required to operate such screens can be prohibitive. As an alternative, we have adapted the yeast 2-hybrid assay to simultaneously uncover dozens of transient and static protein interactions within a single screen utilizing a strategy termed DEEPN (Dynamic Enrichment for Evaluation of Protein Networks), which incorporates high-throughput DNA sequencing and computation to follow the evolution of a population of plasmids that encode interacting partners. Here, we describe customized reagents and protocols that allow a DEEPN screen to be executed easily and cost-effectively.

Identification of an interaction between calcium-dependent protein kinase 4 (EtCDPK4) and serine protease inhibitor (EtSerpin) in Eimeria tenella

Background

Eimeria tenella is an obligate intracellular apicomplexan protozoan parasite that has a complex life-cycle. Calcium ions, through various calcium-dependent protein kinases (CDPKs), regulate key events in parasite growth and development, including protein secretion, movement, differentiation, and invasion of and escape from host cells. In this study, we identified proteins that interact with EtCDPK4 to lay a foundation for clarifying the role of CDPKs in calcium channels.

Methods

Eimeria tenella merozoites were collected to construct a yeast two-hybrid (Y2H) cDNA library. The Y2H system was used to identify proteins that interact with EtCDPK4. One of interacting proteins was confirmed using bimolecular fluorescence complementation and co-immunoprecipitation in vivo. Co-localization of proteins was performed using immunofluorescence assays.

Results

Eight proteins that interact with EtCDPK4 were identified using the Y2H system. One of the proteins, E. tenella serine protease inhibitor 1 (EtSerpin), was further confirmed.

Conclusion

In this study, we screened for proteins that interact with EtCDPK4. An interaction between EtSerpin and EtCDPK4 was identified that may contribute to the invasion and development of E. tenella in host cells.

Engineering a yeast double-molecule carrier for drug screening

With the advantages of unicellular eukaryotic structure and easy manipulation, yeast becomes a popular tool for biochemical, genetic and medicinal studies. In order to construct an efficient anti-inflammatory drug screening platform, we engineered yeast as a double-molecule carrier, of which an inserted domain (I domain) of lymphocyte function-associated antigen 1 was displayed on yeast surface and a green fluorescent protein (GFP) was expressed inside cytosol. The I domain specifically targeted a surface marker of mammalian cells, intercellular adhesion molecule 1, whose number is correlated with the level of cellular inflammation. Examination of GFP intensity enables swift quantification of the yeast-mammalian cell binding and thus it reflects inflammatory potency, herein the inflammatory index, of a chemical imposed to cells. The inflammatory potency of a total of 1340 chemicals was indexed. Among them, 1 inflammation-inducing and 1 inflammation-reducing compounds were verified both in vitro and in vivo. Our method demonstrated a swift, facile and high-throughput screening platform at the protein level for inflammation and related diseases drug discovery without using sophisticated instruments.

Mechanisms of action of Coxiella burnetii effectors inferred from host-pathogen protein interactions

Coxiella burnetii is an obligate Gram-negative intracellular pathogen and the etiological agent of Q fever. Successful infection requires a functional Type IV secretion system, which translocates more than 100 effector proteins into the host cytosol to establish the infection, restructure the intracellular host environment, and create a parasitophorous vacuole where the replicating bacteria reside. We used yeast two-hybrid (Y2H) screening of 33 selected C. burnetii effectors against whole genome human and murine proteome libraries to generate a map of potential host-pathogen protein-protein interactions (PPIs). We detected 273 unique interactions between 20 pathogen and 247 human proteins, and 157 between 17 pathogen and 137 murine proteins. We used orthology to combine the data and create a single host-pathogen interaction network containing 415 unique interactions between 25 C. burnetii and 363 human proteins. We further performed complementary pairwise Y2H testing of 43 out of 91 C. burnetii-human interactions involving five pathogen proteins. We used the combined data to 1) perform enrichment analyses of target host cellular processes and pathways, 2) examine effectors with known infection phenotypes, and 3) infer potential mechanisms of action for four effectors with uncharacterized functions. The host-pathogen interaction profiles supported known Coxiella phenotypes, such as adapting cell morphology through cytoskeletal re-arrangements, protein processing and trafficking, organelle generation, cholesterol processing, innate immune modulation, and interactions with the ubiquitin and proteasome pathways. The generated dataset of PPIs-the largest collection of unbiased Coxiella host-pathogen interactions to date-represents a rich source of information with respect to secreted pathogen effector proteins and their interactions with human host proteins.

DEEPN as an Approach for Batch Processing of Yeast 2-Hybrid Interactions

We adapted the yeast 2-hybrid assay to simultaneously uncover multiple transient protein interactions within a single screen by using a strategy termed DEEPN (dynamic enrichment for evaluation of protein networks). This approach incorporates high-throughput DNA sequencing and computation to follow competition among a plasmid population encoding interacting partners. To demonstrate the capacity of DEEPN, we identify a wide range of ubiquitin-binding proteins, including interactors that we verify biochemically. To demonstrate the specificity of DEEPN, we show that DEEPN allows simultaneous comparison of candidate interactors across multiple bait proteins, allowing differential interactions to be identified. This feature was used to identify interactors that distinguish between GTP- and GDP-bound conformations of Rab5.

Current Understanding of the TCTP Interactome

Evolutionarily conserved and pleiotropic, the translationally controlled tumor protein (TCTP) is a housekeeping protein present in eukaryotic organisms. It plays an important role in regulating many fundamental processes, such as cell proliferation, cell death, immune responses, and apoptosis. As a result of the pioneer work by Adam Telerman and Robert Amson, the critical role of TCTP in tumor reversion was revealed. Moreover, TCTP has emerged as a regulator of cell fate determination and a promising therapeutic target for cancers. The multifaceted action of TCTP depends on its ability to interact with different proteins. Through this interaction network, TCTP regulates diverse physiological and pathological processes in a context-dependent manner. Complete mapping of the entire sets of TCTP protein interactions (interactome) is essential to understand its various cellular functions and to lay the foundation for the rational design of TCTP-based therapeutic approaches. So far, the global profiling of the interacting partners of TCTP has rarely been performed, but many interactions have been identified in small-scale studies in a specific biological system. This chapter, based on information from protein interaction databases and the literature, illustrates current knowledge of the TCTP interactome.

Screening and characterization of apical membrane antigen 1 interacting proteins in Eimeria tenella

Avian coccidiosis is a widespread and economically significant disease of poultry. It is an enteric disease caused by several protozoan Eimeria species. Eimeria belongs to the phylum Apicomplexa, which exhibits an unusual mechanism of host cell invasion. During invasion of host cells, the protein apical membrane antigen 1 (AMA1) is essential for invasion of Toxoplasma gondii and Plasmodium. Contrary to the roles of AMA1 during host cell invasion in T. gondii and Plasmodium, the precise functions of Eimeria AMA1 (EtAMA1) are unclear. In order to study the functions of EtAMA1, a yeast two-hybrid cDNA library was constructed from E. tenella sporozoites. The EtAMA1 ectodomain was cloned into the pGBKT7 vector to construct the bait plasmid pGBKT7- EtAMA1. Autoactivation and toxicity of the bait protein in yeast cells were tested by comparison with the pGBKT7 empty vector. Expression of the bait protein was detected by western blots. The bait plasmid pGBKT7-EtAMA1 was used to screen yeast two-hybrid cDNA library from E. tenella sporozoites. After multiple screenings with high-screening-rate medium and exclusion of false-positive plasmids, positive preys were sequenced and analyzed using BLAST. We obtained 14 putative EtAMA1-interacting proteins including E. tenella acidic microneme protein2 (EtMIC2), E. tenella putative cystathionine beta-synthase, E. tenella Eimeria-specific protein, four E. tenella conserved hypothetical proteins (one in the serine/threonine protein kinase family) and seven unknown proteins. Gene Ontology analysis indicated that two known proteins were associated with metabolic process, pyridoxal phosphate binding and protein phosphorylation. Functional analysis indicated EtMIC2 was implicated in parasite motility, migration, recognition and invasion of host cells. The data suggested that EtAMA1 may be important during host cell invasion, but also involved in other biological processes.