Endogenous Protein-protein Interactions Research Articles

Pooled endogenous protein tagging and recruitment for systematic profiling of protein function

The emerging field of induced proximity therapeutics, which involves designing molecules to bring together an effector and target protein-typically to induce target degradation-is rapidly advancing. However, its progress is constrained by the lack of scalable and unbiased tools to explore effector-target protein interactions. We combine pooled endogenous gene tagging using a ligand-binding domain with generic small-molecule-based recruitment to screen for induction of protein proximity. We apply this methodology to identify effectors for degradation in two orthogonal screens: using fluorescence to monitor target levels and a cellular growth that depends on the degradation of an essential protein. Our screens revealed new effector proteins for degradation, including previously established examples, and converged on members of the C-terminal-to-LisH (CTLH) complex. We introduce a platform for pooled induction of endogenous protein-protein interactions to expand our toolset of effector proteins for protein degradation and other forms of induced proximity.

Endogenous Protein-Protein Interaction Network of the NPC Cholesterol Transporter 1 in the Cerebral Cortex.

NPC intracellular cholesterol transporter 1 (NPC1) is a multipass, transmembrane glycoprotein mostly recognized for its key role in facilitating cholesterol efflux. Mutations in the NPC1 gene result in Niemann-Pick disease, type C (NPC), a fatal, lysosomal storage disease. Due to the progressively expanding implications of NPC1-related disorders, we investigated endogenous NPC1 protein-protein interactions in the mouse cortex and human-derived iPSCs neuronal models of the disease through coimmunoprecipitation-coupled with LC-MS based proteomics. The current study investigated protein-protein interactions specific to the wild-type and the most prevalent NPC1 mutation (NPC1I1061T) while filtering out any protein interactor identified in the Npc1-/- mouse model. Additionally, the results were matched across the two species to map the parallel interactome of wild-type and mutant NPC1I1061T. Most of the identified wild-type NPC1 interactors were related to cytoskeleton organization, synaptic vesicle activity, and translation. We found many putative NPC1 interactors not previously reported, including two SCAR/WAVE complex proteins that regulate ARP 2/3 complex actin nucleation and multiple membrane proteins important for neuronal activity at synapse. Moreover, we identified proteins important in trafficking specific to wild-type and mutant NPC1I1061T. Together, the findings are essential for a comprehensive understanding of NPC1 biological functions in addition to its classical role in sterol efflux.

DSBSO-Based XL-MS Analysis of Breast Cancer PDX Tissues to Delineate Protein Interaction Network in Clinical Samples.

Protein-protein interactions (PPIs) are fundamental to understanding biological systems as protein complexes are the active molecular modules critical for carrying out cellular functions. Dysfunctional PPIs have been associated with various diseases including cancer. Systems-wide PPI analysis not only sheds light on pathological mechanisms, but also represents a paradigm in identifying potential therapeutic targets. In recent years, cross-linking mass spectrometry (XL-MS) has emerged as a powerful tool for defining endogenous PPIs of cellular networks. While proteome-wide studies have been performed in cell lysates, intact cells and tissues, applications of XL-MS in clinical samples have not been reported. In this study, we adopted a DSBSO-based in vivo XL-MS platform to map interaction landscapes from two breast cancer patient-derived xenograft (PDX) models. As a result, we have generated a PDX interaction network comprising 2,557 human proteins and identified interactions unique to breast cancer subtypes. Interestingly, most of the observed differences in PPIs correlated well with protein abundance changes determined by TMT-based proteome quantitation. Collectively, this work has demonstrated the feasibility of XL-MS analysis in clinical samples, and established an analytical workflow for tissue cross-linking that can be generalized for mapping PPIs from patient samples in the future to dissect disease-relevant cellular networks.

Detecting Native Protein-Protein Interactions by APEX2 Proximity Labeling in Drosophila Tissues.

Enzyme-catalyzed proximity labeling is a potent technique for the discernment of subtle molecular interactions and subcellular localization, furnishing contextual insights into the protein of interest within cells. Although ascorbate peroxidase2 (APEX2) has proven effective in this approach when overexpressed, its compatibility with endogenous proteins remains untested. We improved this technique for studying native protein-protein interactions in live Drosophila ovary tissue. Through CRISPR/Cas9 genome editing, APEX2 was fused with the endogenous dysfusion gene. By pre-treating the tissue with Triton X-100 to enhance biotin-phenol penetration, we successfully identified multiple proteins interacting with the native Dysfusion proteins that reside on the inner nuclear membrane. Our protocol offers a comprehensive workflow for delineating the interactome networks of ovarian components in Drosophila, aiding future studies on endogenous protein-protein interactions in various tissues of other animals. Key features • Elucidating Protein-protein interactions provides deeper insights into the regulation of gene expression in molecular network and complex signaling pathways, advancing protein engineering and drug design. • This protocol utilizes CRISPR/Cas9 knock-in technology to tag endogenous proteins with the APEX2 to label nearby proteins within a 20 nm radius in Drosophila melanogaster. • We optimize APEX2-proximity labeling by using Triton X-100 pre-treatment to enhance biotin-phenol penetration into Drosophila ovaries, enabling endogenous proteins enrichment under native conditions.

Abstract B006: High RAS-RAF binding as assessed via proximity ligation assay is associated with sensitivity to KRASG12C inhibitors in NSCLC

Abstract KRASG12C inhibitors such as sotorasib and adagrasib have shown efficacy in patients with non-small cell lung cancer (NSCLC). However, a substantial proportion of patients do not respond. Therefore, there is a clear need for predictive biomarkers to guide treatment. The proximity ligation assay (PLA) is an immunofluorescent-based approach utilized to analyze endogenous protein-protein interactions. The method allows for the assessment of signaling-associated protein complexes, which can serve as potential targets for specific inhibitors. In particular, KRASG12C inhibitors can disrupt these complexes by interfering with the interaction between RAS and its effector RAF. By providing insights into the presence of these protein complexes, PLA offers a predictive readout for inhibitor sensitivity. We thus conducted a preclinical study to evaluate if a RAS-CRAF PLA could inform on the presence of RAS-RAF protein complexes and predict the response to KRASG12C inhibitors. To assess the specificity of the panRAS-CRAF PLA, we employed RNA interference in a KRASG12C-mutant H358 NSCLC cell line, wherein knockdown of either panRAS or CRAF resulted in a reduction in the panRAS-CRAF PLA signal. Pharmacological inhibition of RAS-RAF interaction with sotorasib also reduced the panRAS-CRAF PLA signal. We next performed panRAS-CRAF PLA in a panel of 11 KRASG12C-mutant NSCLC cell lines, revealing a higher number of panRAS-CRAF PLA spots in H358, LU65, and HCC1171. To further investigate the RAS-RAF interaction, we assessed the abundance of CRAF-bound RAS-GTP by quantifying the binding of RAS-GTP to the RAS-binding domain of CRAF. H358, LU65, and HCC1171 exhibited the highest levels of RAS-GTP among the 11 cell lines. We observed a strong correlation between the number of panRAS-CRAF PLA foci and the levels of CRAF-bound RAS-GTP (r = 0.87, P = 0.0002). These results indicated that the enhanced level of RAS-GTP for CRAF proteins facilitates the formation of RAS-CRAF complexes, thereby augmenting the panRAS-CRAF PLA signals. We then evaluated the in vitro antitumor activity of sotorasib across the G12C-mutated cell lines and found that the 50% inhibitory concentration values of sotorasib for H358, LU65, and HCC1171 were below 30 nmol/L. The panRAS-CRAF PLA was strongly associated with the sensitivity to sotorasib (r = 0.81, P = 0.002). We subsequently assessed the association of panRAS-CRAF PLA with efficacy of adagrasib in a patient-derived xenograft (PDX) cohort. PanRAS-CRAF PLA was assessed on sections of formalin-fixed paraffin-embedded tumors derived from vehicle-treated control groups at the end of efficacy studies in 18 NSCLC PDX models. Our findings revealed a significant association between high panRAS-CRAF PLA signal and increased sensitivity to adagrasib (r = 0.61, P = 0.008). Our results suggest that panRAS-CRAF PLA may serve as a predictive marker to identify patients who could derive optimal benefit from KRASG12C inhibitors, and may direct combination therapy approaches to those patients less likely to benefit from single-agent therapy. Citation Format: Ryoji Kato, Hitendra S. Solanki, Denis Imbody, Anurima Majumder, Yaakov Stern, Liznair Bridenstine, Harika Gundlapalli, Ida Aronchik, Joseph Johnson, Eric B. Haura. High RAS-RAF binding as assessed via proximity ligation assay is associated with sensitivity to KRASG12C inhibitors in NSCLC [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr B006.

Abstract A001: RAS:RAF proximity ligation assay may predict response to KRASG12C inhibitors in NSCLC

Abstract Sotorasib demonstrated efficacy in patients with non-small cell lung cancer (NSCLC). However, a substantial proportion of patients do not respond. There is therefore a clear need for a predictive biomarker to guide treatment decisions. Proximity ligation assay (PLA) is an immunofluorescent-based approach for analysis of endogenous protein-protein interactions, in which the signal can be detected only when two target proteins are within 40 nm. This method measures drug-targetable signaling-associated protein complexes in cells and tissues. KRAS activity has recently been shown to be related to the sensitivity to sotorasib. We therefore conducted a preclinical study to evaluate whether RAS activation inferred by PLA might predict response to KRASG12C inhibitors. We first examined panRAS:CRAF PLA reaction for a KRASG12C-mutant H358 NSCLC cell line, by comparing a complete PLA reaction with both panRAS and CRAF antibodies and an incomplete PLA reaction in the absence of either panRAS or CRAF antibodies. We observed high panRAS:CRAF PLA intensity in H358 with both antibodies, which was abrogated in the absence of either panRAS or CRAF antibodies. We next evaluated the specificity of the PLA reaction by RNA interference. Transfection with sipanRAS or siCRAF resulted in a reduction in panRAS:CRAF PLA signal. We then performed panRAS:CRAF PLA with a panel of KRAS G12C-mutant NSCLC cell lines. The intensity of panRAS:CRAF PLA signal varied between these cell lines, with H358 and LU65 having higher and H1792 and LU99 having lower intensity of panRAS:CRAF PLA signal. To further understand the RAS-RAF interaction, we evaluated a CRAF-RAS binding domain pulldown assay for the cell lines. Different levels of CRAF-bound panRAS were observed in the cell lines, with H358 and LU65 having higher and H1792 and LU99 having lower level of CRAF-bound panRAS. The intensity of panRAS:CRAF PLA strongly correlated with CRAF-bound panRAS (r = 0.70, P = 0.037), suggesting that panRAS:CRAF PLA works sufficiently well to detect the RAS-RAF complex. We investigated the antitumor efficacy of AMG510 in vitro and found that a heterogeneous response to AMG510 was observed in the cell lines, with the 50% inhibitory concentration values of AMG510 for H358 and LU65 below 30 nmol/L and those for H1792, and LU99 above 10 μmol/L. The intensity of panRAS:CRAF PLA was strongly associated with the sensitivity of the G12C-mutated cells to AMG510 (r = 0.74, P = 0.01). We next examined sections of FFPE tumors from NSCLC cell line-derived xenograft models. The panRAS:CRAF PLA signal was higher in mice with sotorasib-sensitive H358 than with resistant H1792 (P = 0.02). Our results suggest that RAS:RAF PLA may have values as a predictive marker to identify which patients can obtain the greatest benefit from sotorasib. Citation Format: Ryoji Kato, Hitendra S. Solanki, Denis Imbody, Anurima Majumder, Yaakov Stern, Liznair Bridenstine, Joseph Johnson, Eric B. Haura. RAS:RAF proximity ligation assay may predict response to KRASG12C inhibitors in NSCLC [abstract]. In: Proceedings of the AACR Special Conference: Targeting RAS; 2023 Mar 5-8; Philadelphia, PA. Philadelphia (PA): AACR; Mol Cancer Res 2023;21(5_Suppl):Abstract nr A001.

Abstract 1448: The YAP1/TEAD and NF-Kappa B transcription factors may cooperate to mediate prostate cancer progression

Abstract Metastatic castration-resistant prostate cancer is morbid and lethal. The transcriptional coregulator YAP1 (Yes-associated protein 1) is a nuclear effector of the Hippo pathway. The Hippo pathway regulates cell growth, motility, and carcinogenesis. Here, we investigated biochemical and functional interactions between YAP1 and the nuclear factor (NF) kappa B/RELA subunit in prostate cancer cell models. We demonstrated that endogenous YAP1 and RELA form protein complexes in the cell, as revealed by co-immunoprecipitation and western blotting. Compared with control, we found that combined treatment of cells with androgen and SDF1a (stromal cell-derived factor-1 alpha) or RANKL (receptor activator of NF-kappa Β ligand) enhanced the protein-protein interaction between YAP1 and RELA, as showed by proximity ligation assay. Our confocal microscopy experiment further showed that combined SDF1a and androgen treatment augmented the YAP1 and RELA colocalization relative to single-agent. Moreover, our promoter-reporter and RNAi experiments showed that genetic silencing YAP1 or TEAD protein, a key mediator of the YAP1 transcription, significantly reduced the NF-Kappa B promoter-reporter gene activity. Also, disruption of YAP1 activity by genetic and small molecule attenuated endogenous protein-protein interaction between TEAD and RELA. Furthermore, controlled expression of MST1/STK4, a potent inhibitor of YAP1, suppressed the NF-Kappa B-promoter reporter activity. Additionally, our unbiased bioinformatics analysis of the exiting ChIP-seq (chromatin immunoprecipitation-sequencing) data identified several genes likely co-regulated by the TEAD1-4 and NF-Kappa B transcription factors. Besides, our computational analysis of the TCGA and Stand Up To Cancer (SU2C) prostate cancer data sets indicated that expression of YAP/TEAD and NF-kappa B/RELA correlates in clinical cases. These findings suggest that cooperative androgen and cytokine signaling regulates Hippo/YAP and NF-Kappa B interaction and their functions. These may have critical roles in advanced prostate cancer downstream of the Hippo pathway. Citation Format: Bekir Cinar, Marwah M. Al-Mathkour, Abdulrahman M. Dwead, Ava M. Boston, Michael S. Lewis, Carlos S. Moreno. The YAP1/TEAD and NF-Kappa B transcription factors may cooperate to mediate prostate cancer progression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1448.

Exploring an Alternative Cysteine-Reactive Chemistry to Enable Proteome-Wide PPI Analysis by Cross-Linking Mass Spectrometry.

The development of MS-cleavable cross-linking mass spectrometry (XL-MS) has enabled the effective capture and identification of endogenous protein-protein interactions (PPIs) and their residue contacts at the global scale without cell engineering. So far, only lysine-reactive cross-linkers have been successfully applied for proteome-wide PPI profiling. However, lysine cross-linkers alone cannot uncover the complete PPI map in cells. Previously, we have developed a maleimide-based cysteine-reactive MS-cleavable cross-linker (bismaleimide sulfoxide (BMSO)) that is effective for mapping PPIs of protein complexes to yield interaction contacts complementary to lysine-reactive reagents. While successful, the hydrolysis and limited selectivity of maleimides at physiological pH make their applications in proteome-wide XL-MS challenging. To enable global PPI mapping, we have explored an alternative cysteine-labeling chemistry and thus designed and synthesized a sulfoxide-containing MS-cleavable haloacetamide-based cross-linker, Dibromoacetamide sulfoxide (DBrASO). Our results have demonstrated that DBrASO cross-linked peptides display the same fragmentation characteristics as other sulfoxide-containing MS-cleavable cross-linkers, permitting their unambiguous identification by MSn. In combination with a newly developed two-dimensional peptide fractionation method, we have successfully performed DBrASO-based XL-MS analysis of HEK293 cell lysates and demonstrated its capability to complement lysine-reactive reagents and expand PPI coverage at the systems-level.

CFTR modulates aquaporin-mediated glycerol permeability in mouse Sertoli cells.

The cystic fibrosis transmembrane conductance regulator (CFTR) is an anion channel that is crucial for fluid homeodynamics throughout the male reproductive tract. Previous evidence shed light on a potential molecular partnership between this channel and aquaporins (AQPs). Herein, we explore the role of CFTR on AQPs-mediated glycerol permeability in mouse Sertoli cells (mSCs). We were able to identify the expression of CFTR, AQP3, AQP7, and AQP9 in mSCs by RT-PCR, Western blot, and immunofluorescence techniques. Cells were then treated with CFTRinh-172, a specific CFTR inhibitor, and its glycerol permeability was evaluated by stopped-flow light scattering. We observed that CFTR inhibition decreased glycerol permeability in mSCs by 30.6% when compared to the control group. A DUOLINK proximity ligation assay was used to evaluate the endogenous protein-protein interactions between CFTR and the various aquaglyceroporins we identified. We positively detected that CFTR is in close proximity with AQP3, AQP7, and AQP9 and that, through a possible physical interaction, CFTR can modulate AQP-mediated glycerol permeability in mSCs. As glycerol is essential for the control of the blood-testis barrier and elevated concentration in testis results in the disruption of spermatogenesis, we suggest that the malfunction of CFTR and the consequent alteration in glycerol permeability is a potential link between male infertility and cystic fibrosis.

A growth-based platform for detecting domain–peptide interactions in the cytoplasm of mammalian cells

Development of a method for detecting protein–protein interactions (PPIs) in living cells is important for therapeutic drug screening against various diseases including infectious diseases. We have recently developed a method named SOS localization-based interaction screening (SOLIS), in which we designed membrane-anchored and SOS-fused chimeric proteins, whose PPI-dependent association triggers membrane localization of the SOS-fused chimeric protein, activates the Ras/MAPK pathway, and induces cell growth. While SOLIS was able to detect relatively strong PPIs, further sensitivity was required for detecting intracellular endogenous PPIs typically having a micromolar order of dissociation constant (Kd). Here we develop high-sensitive SOLIS (H-SOLIS) that could universally detect PPIs with lower affinities. In order to improve the sensitivity, H-SOLIS introduces a heterodimeric helper interaction, in which addition of a small-molecule helper ligand could accommodate association of the two chimeric proteins and regulate the sensitivity. Four types of domain–peptide interactions having known Kd values are employed to examine the versatility and detection limit of H-SOLIS. Consequently, the heterodimer-inducible helper ligand dramatically enhances detection sensitivity, lowering the detection limit to a ten-micromolar order of Kd. Thus, H-SOLIS could be a platform to detect disease-related domain–peptide interactions for drug discovery screening.

CellFIE: CRISPR- and Cell Fusion-based Two-hybrid Interaction Mapping of Endogenous Proteins

Numerous genetic methods facilitate the detection of binary protein–protein interactions (PPIs) by exogenous overexpression, which can lead to false results. Here, we describe CellFIE, a CRISPR- and cell fusion-based PPI detection method, which enables the mapping of interactions between endogenously tagged two-hybrid proteins. We demonstrate the specificity and reproducibility of CellFIE in a matrix mapping approach, validating the interactions of VCP with ASPL and UBXD1, and the self-interaction of TDP-43 under endogenous conditions. Furthermore, we show that CellFIE can be used to quantify changes of endogenous PPIs upon stress induction or drug treatment. For the first time, CellFIE facilitates systematic mapping of interactions between endogenously tagged proteins and represents a novel tool to characterize PPIs in live cells under dynamic conditions.

Allosteric Modulator Leads Hiding in Plain Site: Developing Peptide and Peptidomimetics as GPCR Allosteric Modulators.

Allosteric modulators (AMs) of G-protein coupled receptors (GPCRs) are desirable drug targets because they can produce fewer on-target side effects, improved selectivity, and better biological specificity (e.g., biased signaling or probe dependence) than orthosteric drugs. An underappreciated source for identifying AM leads are peptides and proteins—many of which were evolutionarily selected as AMs—derived from endogenous protein-protein interactions (e.g., transducer/accessory proteins), intramolecular receptor contacts (e.g., pepducins or extracellular domains), endogenous peptides, and exogenous libraries (e.g., nanobodies or conotoxins). Peptides offer distinct advantages over small molecules, including high affinity, good tolerability, and good bioactivity, and specific disadvantages, including relatively poor metabolic stability and bioavailability. Peptidomimetics are molecules that combine the advantages of both peptides and small molecules by mimicking the peptide’s chemical features responsible for bioactivity while improving its druggability. This review 1) discusses sources and strategies to identify peptide/peptidomimetic AMs, 2) overviews strategies to convert a peptide lead into more drug-like “peptidomimetic,” and 3) critically analyzes the advantages, disadvantages, and future directions of peptidomimetic AMs. While small molecules will and should play a vital role in AM drug discovery, peptidomimetics can complement and even exceed the advantages of small molecules, depending on the target, site, lead, and associated factors.

EndoBind detects endogenous protein-protein interactions in real time

We present two high-throughput compatible methods to detect the interaction of ectopically expressed (RT-Bind) or endogenously tagged (EndoBind) proteins of interest. Both approaches provide temporal evaluation of dimer formation over an extended duration. Using examples of the Nrf2-KEAP1 and the CRAF-KRAS-G12V interaction, we demonstrate that our method allows for the detection of signal for more than 2 days after substrate addition, allowing for continuous monitoring of endogenous protein-protein interactions in real time.

Impaired endoplasmic reticulum-mitochondrial signaling in ataxia-telangiectasia.

SummaryThere is evidence that ATM mutated in ataxia-telangiectasia (A-T) plays a key role in protecting against mitochondrial dysfunction, the mechanism for which remains unresolved. We demonstrate here that ATM-deficient cells are exquisitely sensitive to nutrient deprivation, which can be explained by defective cross talk between the endoplasmic reticulum (ER) and the mitochondrion. Tethering between these two organelles in response to stress was reduced in cells lacking ATM, and consistent with this, Ca2+ release and transfer between ER and mitochondria was reduced dramatically when compared with control cells. The impact of this on mitochondrial function was evident from an increase in oxygen consumption rates and a defect in mitophagy in ATM-deficient cells. Our findings reveal that ER-mitochondrial connectivity through IP3R1-GRP75-VDAC1, to maintain Ca2+ homeostasis, as well as an abnormality in mitochondrial fusion defective in response to nutrient stress, can account for at least part of the mitochondrial dysfunction observed in A-T cells.

Electron-deficient p-benzoyl-l-phenylalanine derivatives increase covalent chemical capture yields for protein-protein interactions.

The photoactivatable amino acid p-benzoyl-l-phenylalanine (pBpa) has been used for the covalent capture of protein-protein interactions (PPIs) in vitro and in living cells. However, this technique often suffers from poor photocrosslinking yields due to the low reactivity of the active species. Here we demonstrate that the incorporation of halogenated pBpa analogs into proteins leads to increased crosslinking yields for protein-protein interactions. The analogs can be incorporated into live yeast and upon irradiation capture endogenous PPIs. Halogenated pBpas will extend the scope of PPIs that can be captured and expand the toolbox for mapping PPIs in their native environment.

Proximity Ligation Assay (PLA) to Determine the Endosomal Localization of ESCRT Subunit in Virus-Infected Cells.

Proximity ligation assay (PLA) is a newly developed technique that outperforms the traditional immunoassays for visualizing the in situ endogenous protein-protein interactions and localizations and the activation of proteins in cell culture systems as well as in tissue sections. PLA, when combined with cellular marker staining, becomes a powerful approach to identify differential interaction of the proteins of endosomal sorting complex required for transport (ESCRT) at distinct stages of virus infection. In this chapter, we describe a PLA protocol to study the localization and interaction between the ESCRT protein TSG101 and endosomal markers in early stages of viral endocytosis in in vitro infected cells.

Facile analysis of protein-protein interactions in living cells by enriched visualization of the p-body

Protein-Protein Interactions (PPIs) play essential roles in diverse biological processes and their misregulations are associated with a wide range of diseases. Especially, the growing attention to PPIs as a new class of therapeutic target is increasing the need for an efficient method of cell-based PPI analysis. Thus, we newly developed a robust PPI assay (SeePPI) based on the co-translocation of interacting proteins to the discrete subcellular compartment ‘processing body’ (p-body) inside living cells, enabling a facile analysis of PPI by the enriched fluorescent signal. The feasibility and strength of SeePPI (Signal enhancement exclusively on P-body for Protein-protein Interaction) assay was firmly demonstrated with FKBP12/FRB interaction induced by rapamycin within seconds in real-time analysis of living cells, indicating its recapitulation of physiological PPI dynamics. In addition, we applied p53/MDM2 interaction and its dissociation by Nutlin-3 to SeePPI assay and further confirmed that SeePPI was quantitative and well reflected the endogenous PPI. Our SeePPI assay will provide another useful tool to achieve an efficient analysis of PPIs and their modulators in cells.

MEDICI: Mining Essentiality Data to Identify Critical Interactions for Cancer Drug Target Discovery and Development.

Protein-protein interactions (PPIs) mediate the transmission and regulation of oncogenic signals that are essential to cellular proliferation and survival, and thus represent potential targets for anti-cancer therapeutic discovery. Despite their significance, there is no method to experimentally disrupt and interrogate the essentiality of individual endogenous PPIs. The ability to computationally predict or infer PPI essentiality would help prioritize PPIs for drug discovery and help advance understanding of cancer biology. Here we introduce a computational method (MEDICI) to predict PPI essentiality by combining gene knockdown studies with network models of protein interaction pathways in an analytic framework. Our method uses network topology to model how gene silencing can disrupt PPIs, relating the unknown essentialities of individual PPIs to experimentally observed protein essentialities. This model is then deconvolved to recover the unknown essentialities of individual PPIs. We demonstrate the validity of our approach via prediction of sensitivities to compounds based on PPI essentiality and differences in essentiality based on genetic mutations. We further show that lung cancer patients have improved overall survival when specific PPIs are no longer present, suggesting that these PPIs may be potentially new targets for therapeutic development. Software is freely available at https://github.com/cooperlab/MEDICI. Datasets are available at https://ctd2.nci.nih.gov/dataPortal.

Use of In Situ Proximity Ligation Assays for Systems Analysis of Signaling Pathways.

Understanding signaling pathway networks via protein-protein interactions (PPIs) at the cellular level is a significant task that has not yet been completed. Here, a systems approach that computationally infers interlinked pathways from numerous PPIs is described. The endogenous PPIs can be empirically detected using an in situ proximity ligation assay (PLA), which detects and visualizes endogenous PPIs and post-translational modifications of proteins with a high sensitivity and specificity. This unit includes two parts: (1) conversion of gene lists into PPIs for investigation and (2) large-scale detection and analysis of endogenous PPIs for elucidating pathway networks. © 2016 by John Wiley & Sons, Inc.

Unraveling the Outer Membrane Translocation Mechanism of a Protein Antibiotic using Single-Molecule Microbiology and Computational Biophysics

Colicins are natural protein antibiotics deployed by Escherichia coli to kill closely related bacterial competitors - they act by delivering a toxic protein domain intracellularly. A mechanistic understanding of how colicins manipulate endogenous protein-protein interactions to gain cell entry may lead to the development of novel therapeutics against antibiotic-resistant bacteria. By combining in vivo, in vitro and in silico biophysical techniques, we recently discovered that promiscuous interactions occur between the outer membrane proteins (OMPs) BtuB and OmpF, which are the receptor and translocator proteins for colicin E9 (ColE9), respectively. These promiscuous protein-protein interactions may contribute to the observed self-association of OMPs to form outer membrane (OM) islands. Super-resolution imaging, i.e. stochastic optical reconstruction microscopy (STORM) and structured illumination microscopy (SIM), has been used to reveal the size and surface distribution of colicin-receptor complexes in these OM islands. Using confocal fluorescence recovery after photo-bleaching (FRAP) microscopy, we have for the first time detected in vivo assembly of the translocon complex observed as tethering of the inner membrane protein TolA by the N-terminus of ColE9 in a BtuB and TolB dependent manner. These in vivo studies have demonstrated that delivery of the intrinsically unstructured N-terminus of ColE9 to the periplasm is sufficient to assemble a periplasm-spanning translocon complex and that this occurs while the colicin molecule remains receptor-bound at the extracellular surface. Work is underway to elucidate the role of trans-periplasmic energy transduction in the formation and maintenance of this translocon complex.