Specific Binding Sites Research Articles

Computational Investigation of Phytochemicals as Putative Inhibitors of Vibrio parahaemolyticus Protein Toxins

The lethal toxins released by pathogenic strains of V. parahaemolyticus pose a significant challenge in the aquaculture industry. One such toxin is thermostable direct haemolysin (TDH), which is encoded in the tdh gene. TDH primarily exerts its toxicity by creating pores in hemocyte membranes and other tissues. The toxR gene, on the other hand, plays a role in regulating the expression of virulence factors, including tdh, and is found in Vibrio species. Plants are recognized for containing phytochemicals that exhibit antibacterial properties with few adverse effects. This study acquired essential phytochemicals from PubChem, and target proteins from the RCSB protein data bank. The study was focused on the effects of alkaloids and flavonoid classes of phytochemicals on the target toxins measured by in silico (Gscore and MM/GBSA bind) investigation. This research employed in silico screening using Schrodinger's Glide, 2021 software, followed by a thorough analysis of how different phytochemicals interacted with specific binding sites, utilizing the Discovery Studio 3.5 version. Through this analysis, the most effective phytochemicals were identified, and myricetin (Myr) and (+)-taxifolin (TF) with ToxR, as well as chlorogenic acid (CGA) and carboxymethyl cellulose (CMC) with TDH, were analyzed. These phytochemicals displayed promising potential as inhibitors of the toxins, as evidenced by their docking scores and affinity. Among the compounds, Myr exhibited the best G-docking score at -6.004 Kcal/mol, followed by TF at -5.262 Kcal/mol against ToxR. Whereas, CGA and CMC also demonstrated notable scores at -5.245 Kcal/mol and -4.433 Kcal/mol against TDH, respectively. The in silico analysis suggested that these phytocompounds might have strong antibacterial properties against V. parahaemolyticus by effectively neutralizing these toxins. The screening results revealed several phytochemicals with promising docking scores and significant interactions with these toxins.

Silencing PPAP2C inhibits lung adenocarcinoma migration and invasion via the ERK/JNK pathway.

Lung adenocarcinoma (LUAD) is a leading cause of cancer‑related death due to its aggressive nature and metastatic potential. The present study aimed to explore the expression of phospholipid phosphatase 2 (PPAP2C) in LUAD, and its effect on cell migration and invasion, with a particular focus on its association with the ERK/JNK signaling pathway and epithelial‑mesenchymal transition (EMT). The expression of PPAP2C in LUAD was analyzed using data from The Cancer Genome Atlas database. Pearson's correlation coefficient analysis was used to assess the correlation between PPAP2C and genes such as MAPK1, MAPK3, MAPK8, CDH1, CDH2 and SNAI1. Subsequently, the PPAP2C gene was silenced in A549 and H1299 LUAD cell lines using siRNA vectors, followed by assessments of gene expression, cell migration, invasion and protein interaction using reverse transcription‑quantitative PCR, western blotting, wound healing assay, Transwell invasion assay, molecular docking analysis, co‑immunoprecipitation and immunofluorescence staining. The results showed that PPAP2C was significantly upregulated in LUAD tissues compared with that in normal tissues. In addition, high levels of PPAP2C were significantly correlated with MAPK3, MAPK8, CDH1 and SNAI1. Notably, PPAP2C silencing significantly inhibited cell migration and invasion. Additionally, it reduced the phosphorylation levels of ERK and JNK proteins. PPAP2C showed specific binding sites with ERK1, and co‑precipitated with ERK1 in both A549 and H1299 cells. Furthermore, PPAP2C silencing decreased the expression levels of N‑cadherin and Snail, while increasing E‑cadherin expression, thereby inhibiting EMT. In conclusion, PPAP2C may be highly expressed in LUAD tissues, and could promote cell migration and invasion by activating the ERK/JNK signaling pathway and inducing EMT. These findings provide a novel potential target for the diagnosis and treatment of LUAD.

DeepLigType: Predicting Ligand Types of Protein-Ligand Binding Sites Using a Deep Learning Model.

The analysis of protein-ligand binding sites plays a crucial role in the initial stages of drug discovery. Accurately predicting the ligand types that are likely to bind to protein-ligand binding sites enables more informed decision making in drug design. Our study, DeepLigType, determines protein-ligand binding sites using Fpocket and then predicts the ligand type of these pockets with the deep learning model, Convolutional Block Attention Module (CBAM) with ResNet. CBAM-ResNet has been trained to accurately predict five distinct ligand types. We classified protein-ligand binding sites into five different categories according to the type of response ligands cause when they bind to their target proteins, which are antagonist, agonist, activator, inhibitor, and others. We created a novel dataset, referred to as LigType5, from the widely recognized PDBbind and scPDB dataset for training and testing our model. While the literature mostly focuses on the specificity and characteristic analysis of protein binding sites by experimental (laboratory-based) methods, we propose a computational method with the DeepLigType architecture. DeepLigType demonstrated an accuracy of 74.30% and an AUC of 0.83 in ligand type prediction on a novel test dataset using the CBAM-ResNet deep learning model. For access to the code implementation of this research, please visit our GitHub repository at https://github.com/drorhunvural/DeepLigType.

Tunable Activated Esters Enable Lysine-Selective Protein Labeling and Profiling.

Lysine residues on protein surfaces are abundant and often found in enzyme active sites, making them critical targets for studying undruggable proteins. However, the varied microenvironment surrounding lysine residues results in a wide range of pKa values, complicating site-specific covalent binding. In this study, we address the challenges posed by the diverse reactivity of amino side chains by modulating the amide reaction activity of heteroaromatic activated esters. By fine-tuning the type, position, and number of heteroatoms, we successfully rationalized the regulation of their amide reaction activity, leading to the design of probes for selective lysine labeling within the proteome for profiling purposes. Systematic optimization of these esters' reactivity and selectivity has yielded a series of effective probes suitable for both in vitro and cellular applications. These findings significantly enhance our understanding of protein functions and mechanisms, facilitated by the precise identification and analysis of protein labeling and profiling.

Elucidating the Interplay between Symmetry Distortions in Passivated MAPbI3 and the Rashba Splitting Effect.

Hybrid organic-inorganic perovskites play a critical role in modern optoelectronic applications, particularly as single photon sources due to their unusual bright ground state. However, the presence of trap states resulting from surface dangling bonds hinders their widespread commercial application. This work uses density functional theory (DFT) to study the effects of various passivating ligands and their binding sites on Rashba splitting, a phenomenon directly linked to the bright ground state. Our results predict that X2- and X4-type ligands that adsorb at acidic oxygen binding sites and zwitterionic binding sites efficiently eliminate trap states introduced by surface iodine vacancies. Furthermore, our results show that distortions from the nominally symmetric cubic structure of the perovskite predominantly determine the presence and magnitude of the Rashba splitting. Specifically, the loss of more symmetry elements consistently leads to Rashba splitting in both the valence band (VB) and the conduction band (CB) with small Rashba splitting coefficients. Conversely, although inversion symmetry breaking alone fails to guarantee the presence of pure Rashba splitting in both the VB and the CB, it significantly increases the degree of splitting. The adsorption of ligands not only mitigates trap states but also plays a critical role in altering the local symmetry, thus influencing Rashba splitting. DFT predicts a distinct Rashba-Dresselhaus splitting in the CB with X2 ligands, causing the largest splitting. The presence of local electric fields causes consistent Rashba splitting of the VB across all studied systems except for the X4 zwitterionic passivated systems (sulfobetaine and lecithin). Electric fields are predicted to cause significant splitting of the CB, particularly for MAPbI3 and SH passivated MAPbI3 surfaces that possess freely rotating ligand binding sites. This study reveals that the wavelength, tunability of Rashba splitting through an applied electric field, and nature of Rashba-Dresselhaus splitting are influenced by the characteristics of the ligand binding site. On the other hand, pure Rashba splitting is predicted to exhibit a greater susceptibility to symmetry distortion than to specific ligand binding sites. These findings elucidate how surface passivating ligands and symmetry distortions influence Rashba splitting, shaping the optoelectronic properties of perovskite nanocrystals.

Role and mechanism of the outer membrane porin LamB in T-2 mycotoxin-mediated extensive drug resistance in Escherichia coli

The influence of mycotoxins in ecological niches shared with antibiotic-resistant bacteria (ARB) remains underexplored. This study examined the impact of T-2 mycotoxin on the evolution of antibiotic resistance in Escherichia coli, highlighting the role of specific porins. Our findings revealed that exposure to 10ng/mL of T-2 toxin induced multi-drug resistant (MDR) phenotypes in three E. coli. At 10-5ng/mL, T-2 toxin caused E. coli ATCC 25922 to develop stable resistance to 13 critical antibiotics, with minimum inhibitory concentrations (MICs) increasing 16- to several thousand-fold. This resistance was linked to the downregulation of the mal gene cluster. Notably, T-2 toxin reduced membrane permeability by downregulating lamB, facilitating its own entry and reducing the intracellular accumulation of both the toxin and antibiotics, thereby enhancing resistance development. LamB mediated the XDR phenotypes in E. coli, particularly by blocking last-resort antibiotics such as cephalosporins, carbapenems, tigecycline, and colistin, complicating treatment strategies. LamB demonstrated high binding affinities for T-2 toxin and various antibiotics, with specific binding sites identified for meropenem (Arg134), imipenem (Ser148, Arg170, Lys129), ceftazidime (Phe106, Lys129), and cefepime (Tyr66, Gln267, Lys269), exhibiting binding energies of -2.93, -2.58, -2.53, and -4.3, respectively. These findings suggest that even low levels of T-2 mycotoxin pose a substantial public health risk. They underscore the urgent need to address these contaminants and open new avenues for antibiotic resistance research.

Structural basis for molecular assembly of fucoxanthin chlorophyll a/c-binding proteins in a diatom photosystem I supercomplex

Photosynthetic organisms exhibit remarkable diversity in their light-harvesting complexes (LHCs). LHCs are associated with photosystem I (PSI), forming a PSI-LHCI supercomplex. The number of LHCI subunits, along with their protein sequences and pigment compositions, has been found to differ greatly among the PSI-LHCI structures. However, the mechanisms by which LHCIs recognize their specific binding sites within the PSI core remain unclear. In this study, we determined the cryo-electron microscopy structure of a PSI supercomplex incorporating fucoxanthin chlorophyll a/c-binding proteins (FCPs), designated as PSI-FCPI, isolated from the diatom Thalassiosira pseudonana CCMP1335. Structural analysis of PSI-FCPI revealed five FCPI subunits associated with a PSI monomer; these subunits were identified as RedCAP, Lhcr3, Lhcq10, Lhcf10, and Lhcq8. Through structural and sequence analyses, we identified specific protein–protein interactions at the interfaces between FCPI and PSI subunits, as well as among FCPI subunits themselves. Comparative structural analyses of PSI-FCPI supercomplexes, combined with phylogenetic analysis of FCPs from T. pseudonana and the diatom Chaetoceros gracilis, underscore the evolutionary conservation of protein motifs crucial for the selective binding of individual FCPI subunits. These findings provide significant insights into the molecular mechanisms underlying the assembly and selective binding of FCPIs in diatoms.

Structural basis for molecular assembly of fucoxanthin chlorophyll a/c-binding proteins in a diatom photosystem I supercomplex.

Photosynthetic organisms exhibit remarkable diversity in their light-harvesting complexes (LHCs). LHCs are associated with photosystem I (PSI), forming a PSI-LHCI supercomplex. The number of LHCI subunits, along with their protein sequences and pigment compositions, has been found to differ greatly among the PSI-LHCI structures. However, the mechanisms by which LHCIs recognize their specific binding sites within the PSI core remain unclear. In this study, we determined the cryo-electron microscopy structure of a PSI supercomplex incorporating fucoxanthin chlorophyll a/c-binding proteins (FCPs), designated as PSI-FCPI, isolated from the diatom Thalassiosira pseudonana CCMP1335. Structural analysis of PSI-FCPI revealed five FCPI subunits associated with a PSI monomer; these subunits were identified as RedCAP, Lhcr3, Lhcq10, Lhcf10, and Lhcq8. Through structural and sequence analyses, we identified specific protein-protein interactions at the interfaces between FCPI and PSI subunits, as well as among FCPI subunits themselves. Comparative structural analyses of PSI-FCPI supercomplexes, combined with phylogenetic analysis of FCPs from T. pseudonana and the diatom Chaetoceros gracilis, underscore the evolutionary conservation of protein motifs crucial for the selective binding of individual FCPI subunits. These findings provide significant insights into the molecular mechanisms underlying the assembly and selective binding of FCPIs in diatoms.

Association of human leucocyte antigen loci with vaccine-induced immune thrombotic thrombocytopenia: Potential role of the interaction between platelet factor 4-derived peptides and MHC-II.

No risk factors have been identified for vaccine-induced immune thrombotic thrombocytopenia (VITT) so far. The aim of this study was to identify human leucocyte antigen (HLA) alleles potentially associated with VITT susceptibility. Specific HLA class II alleles were detected with significantly higher frequency in VITT patients compared with Italian controls: DPB1*17:01, DQA1*05:01, and DRB1*11:04. In silico analysis revealed increased affinity of DRB1*11:04 for a platelet factor 4 (PF4)-derived peptide, ITSLEVIKA, that contains two amino acids present in the specific binding site of anti-PF4 antibodies from VITT patients. Our findings show for the first time a genetic predisposition to developing anti-PF4 antibodies in response to Ad-vector vaccines.

Alanine Scanning to Define Membrane Protein-Lipid Interaction Sites Using Native Mass Spectrometry.

Lipids surrounding membrane proteins interact with different sites on the protein at varying specificities, ranging from highly specific to weak interactions. These interactions can modulate the structure, function, and stability of membrane proteins. Thus, to better understand membrane protein structure and function, it is important to identify the locations of lipid binding and the relative specificities of lipid binding at these sites. In our previous native mass spectrometry (MS) study, we developed a single and double mutant analysis approach to profile the contribution of specific residues toward lipid binding. Here, we extend this method by screening a broad range of mutants of AqpZ to identify specific lipid binding sites and by measuring binding of different lipid types to measure the selectivity of different lipids at selected binding sites. We complemented these native MS studies with molecular dynamics (MD) simulations to visualize lipid interactions at selected sites. We discovered that AqpZ is selective towards cardiolipins (CL) but only at specific sites. Specifically, CL orients with its headgroup facing the cytoplasmic side, and its acyl chains interact with a hydrophobic pocket located at the monomeric interface within the lipid bilayer. Overall, this integrative approach provides unique insights into lipid binding sites and the selectivity of various lipids towards AqpZ, enabling us to map the AqpZ protein structure based on the lipid affinity.

UVB radiation suppresses Dicer expression through β-catenin.

Ultraviolet (UV) rays prompt a natural response in epidermal cells, particularly within melanocytes. The changes in gene expression and related signaling pathways in melanocytes following exposure to UVR are still not entirely understood. Our findings reveal that UVB irradiation suppresses the expression of Dicer. This repression is intricately linked to the activation of the PI3K, RSK, and WNT/β-catenin signaling pathways and is directly associated with transcriptional repression by β-catenin. Notably, we have identified specific binding sites for the LEF/β-catenin complex in the Dicer promoter. Collectively, these results emphasize the significance of the UV-induced pathway involving LEF/β-catenin, which impacts Dicer expression. UV radiation also reduced the levels of specific miRNAs known to be important in the biology of melanocytes. This pathway holds potential importance in governing melanocyte physiology.

Acacetin alleviates rheumatoid arthritis by targeting HSP90 ATPase domain to promote COX-2 degradation

BackgroundInflammation plays a significant role in initiating and sustaining rheumatoid arthritis (RA). Acacetin, a natural flavonoid compound, exhibits excellent anti-inflammatory effects specifically for RA. However, its relevant targets and molecular mechanisms remain to be elucidated. PurposeThis study aims to investigate the mechanism of acacetin in the therapeutic efficacy of acacetin in RA and search for new therapeutic options for RA treatment. MethodsA collagen-induced RA mouse model was established to evaluate the therapeutic effect of acacetin. Acacetin functional probes were synthesized to capture potential target proteins in RAW264.7 cells. Various small molecule-protein interaction methods were conducted to verify the binding of acacetin to target protein. Molecular docking and site directed mutagenesis tests were performed to analyze the specific binding sites. Co-immunoprecipitation, immunofluorescence assay and western blot were engineered to explore the effect of acacetin on COX-2 degradation by targeting HSP90. ResultsAcacetin specifically binds to the ATP domain of HSP90, to facilitate the dissociation between HSP90 and COX-2, inducing the ubiquitin-degradation of COX-2 in macrophages. Acacetin suppressed the production of pro-inflammatory cytokines, as well as inflammatory related pathways, exerting excellent anti-inflammatory effects in RA. ConclusionsThis research proved that acacetin, a novel HSP90 ATPase inhibitor, inhibits the functional folding of the client protein COX-2, promoting its ubiquitin degradation for anti-inflammation. Targeting HSP90 is a viable strategy to inhibit inflammation, affording a distinct way to managing joint inflammation and pains associated with RA.

Daphnetin weakened the pathogenicity of methicillin-resistant Staphylococcus aureus by inhibiting Sortase A and α-hemolysin

The increasing prevalence of antibiotic-resistant bacteria, represented by Methicillin-resistant Staphylococcus aureus (MRSA), has necessitated a shift towards anti-virulence strategies in treatment approaches. This research demonstrated that daphnetin effectively disrupted MRSA virulence by targeting Sortase A (SrtA), an enzyme in Staphylococcus aureus (S. aureus) responsible for adhesion and invasion, as well as the toxin α-hemolysin (Hla) that leads to cell lysis. Utilizing Fluorescence Resonance Energy Transfer, daphnetin showed direct inhibitory effect on SrtA activity, with an IC50 of 25.98 μg/mL. Additionally, daphnetin hindered various SrtA-mediated processes in S. aureus, such as fibronectin adherence, A549 cell invasion, biofilm formation, and bacterial motility. Daphnetin inhibited S. aureus-induced hemolysis and reduced Hla expression as confirmed by Western blot analysis. Molecular docking studies identified specific binding sites of daphnetin with SrtA, highlighting key amino acid residues like GLU-77, TYR-75, and LYS-145, with a docking score of -7.139 kcal/mol. Besides that, daphnetin exhibited a protective effect on MRSA-induced pneumonia in vivo. In summary, daphnetin, a natural compound, effectively inhibited SrtA and Hla activities, attenuating MRSA virulence and showcasing potential for treating bacterial infections.

In Silico Analysis of Binding Sites for a Novel ssDNA Aptamer Specific to Verrucarin A and Detection in Dust Extracts.

An aptamer is a single-stranded oligonucleotide that serves as a chemical antibody with a high specificity and binding affinity that can recognize a wide range of molecules. Effective modification and truncation of aptamers can enhance their binding affinities to particular targets while also broadening their application for uses, such as biosensors. However, a conventional trial-and-error methodology hinders this process. Herein, we demonstrate an in silico method to elucidate the binding site of single-stranded DNA aptamer specific to verrucarin A, a mycotoxin produced by molds in indoor buildings that causes adverse effects in living organisms. The novel ssDNA aptamer exhibited a binding affinity of 29.5 nM, demonstrating a relatively strong affinity compared to those of previously reported typical aptamers for small molecules. Furthermore, the selected aptamer was highly specific toward verrucarin A among structurally related mycotoxins (i.e., verrucarol and zearalenone). The specific binding site of the aptamer predicted via molecular dynamics and molecular docking simulations was highly consistent with the results observed via truncation, single base mutation, and circular dichroism experiments. The fluorescence assay revealed limits of detection and quantification of 4.1 and 12 nM for the aptamer, respectively. Comparing our developed aptasensor with LC-MS/MS methodology revealed that it could detect verrucarin A levels in phosphate-buffered saline and dust extracts with robust precision and consistency. Our findings provide insight for future studies exploring interaction mechanisms with intended targets and practical sensing applications, such as point-of-care detection of verrucarin A.

Hydrogel Grating Sensors with Boron Affinity and Molecular Imprinting Effects for Rapid and Sensitive Detection of Tumor Marker Sialic Acid.

Rapid and sensitive detection of the concentration of sialic acid (SA) in serum is crucial for early tumor screening and prognostic assessment; however, it still remains challenging. Here, we propose a novel kind of hydrogel grating sensor with boron affinity and molecular imprinting effects (B-MIP) for the rapid and sensitive detection of SA concentration in serum. The hydrogel gratings feature uniform surface relief microstructures and incorporate highly specific recognition binding sites into SA molecules provided by boron affinity and molecular imprinting. The periodic nanoridges of hydrogel gratings increase the specific surface area contacting the environmental solution; therefore, fast detection can be achieved within 2 min. Upon recognition of SA molecules, the height of hydrogel gratings changes at the nanoscale, causing a change in the diffraction efficiency of the hydrogel gratings. The B-MIP hydrogel grating sensors have highly specific binding sites to SA molecules distributed throughout the whole hydrogel and can preferentially and selectively recognize and respond to the SA molecules even in the presence of interference substances glucose and fructose with high concentrations. The B-MIP hydrogel grating sensors are effectively applicable for the rapid and sensitive detection of SA concentrations in real serum samples with satisfactory accuracy and precision. Our approach provides an excellent strategy to address the current challenges in SA detection and provides new insights into the detection of tumor markers in serum, thereby opening up new ways to accurately detect complex biological samples in analytical science.

Binding of Peptides Containing D‐Amino Acids to the Tsg101 Tumor Susceptibility Protein

AbstractTsg101 is implicated in tumorigenesis and viral budding, and its inhibition through peptide binding is a potential therapeutic strategy. We utilized the crystal structure of the Tsg101‐PSAP complex from the protein databank in molecular dynamics studies on peptide‐Tsg101 interactions. To enhance peptide stability against enzymatic degradation, we designed peptides with L‐form terminal prolines and D‐form middle amino acids. These peptides also featured acetylated proline at the N‐terminus and amidated C‐terminus, increasing resistance to proteases. Virtual screening of 400 amino acid combinations identified promising peptide candidates and specific binding sites. Subsequent molecular dynamics simulations focused on the peptide PywP, which displayed strong binding stability at a novel Tsg101 site. Further simulations with variations of the D‐form amino acid ′w’ showed that 18 of 21 tested peptides, notably PyeP and PytP, remained firmly bound, highlighting their potential as Tsg101 inhibitors. These peptides also contain hydrophilic residues, potentially improving solubility and therapeutic delivery.

Genome-Wide Identification of Stable RNA Secondary Structures Across Multiple Organisms Using Chemical Probing Data: Insights into Short Structural Motifs and RNA-Targeting Therapeutics.

Small molecules targeting specific RNA binding sites, including stable and transient RNA structures, are emerging as effective pharmacological approaches for modulating gene expression. However, little is understood about how stable RNA secondary structures are shared across organisms, an important factor in controlling drug selectivity. In this study, I provide an analytical pipeline named RNA Secondary Structure Finder (R2S-Finder) to discover short, stable RNA structural motifs for humans, Escherichia coli ( E. coli ), SARS-CoV-2, and Zika virus by leveraging existing in vivo and in vitro genome-wide chemical RNA-probing datasets. I found several common features across organisms. For example, apart from the well-documented tetraloops, AU-rich tetraloops are widely present in different organisms. I also found that the 5' untranslated region (UTR) contains a higher proportion of stable structures than the coding sequences in humans, SARS-CoV-2, and Zika virus. In general, stable structures predicted from in vitro (protein-free) and in vivo datasets are consistent in humans, E. coli , and SARS-CoV-2, indicating that most stable structure formation were driven by RNA folding alone, while a larger variation was found between in vitro and in vivo data with certain RNA types, such as human long intergenic non-coding RNAs (lincRNAs). Finally, I predicted stable three- and four-way RNA junctions that exist both in vivo and in vitro conditions, which can potentially serve as drug targets. All results of stable sequences, stem-loops, internal loops, bulges, and three- and four-way junctions have been collated in the R2S-Finder database ( https://github.com/JingxinWangLab/R2S-Finder ), which is coded in hyperlinked HTML pages and tabulated in CSV files.

Mechanistic Insights into Clinically Relevant Ribosome-Targeting Antibiotics

Antibiotics targeting the bacterial ribosome are essential to combating bacterial infections. These antibiotics bind to various sites on the ribosome, inhibiting different stages of protein synthesis. This review provides a comprehensive overview of the mechanisms of action of clinically relevant antibiotics that target the bacterial ribosome, including macrolides, lincosamides, oxazolidinones, aminoglycosides, tetracyclines, and chloramphenicol. The structural and functional details of antibiotic interactions with ribosomal RNA, including specific binding sites, interactions with rRNA nucleotides, and their effects on translation processes, are discussed. Focus is placed on the diversity of these mechanisms and their clinical implications in treating bacterial infections, particularly in the context of emerging resistance. Understanding these mechanisms is crucial for developing novel therapeutic agents capable of overcoming bacterial resistance.

8028 Targeted Therapy-Induced ER And HER2 Chromatin Binding: A Novel Driver Of Poor Response To Treatment In Triple Positive Breast Cancer

Abstract Disclosure: S. Tam: None. M.D. McCoy: None. S. Bahnassy: None. R.B. Riggins: None. Triple positive breast cancer (TPBC) is a unique variant of breast cancer characterized by co-expression of two oncogenic drivers, estrogen receptor alpha (ER) and human epidermal growth factor receptor 2 (HER2). Both drivers promote tumor progression and serve as targets for effective small molecule and monoclonal antibody (mAb) therapies. Previous studies showed that the co-expression of ER reduces the efficacy of anti-HER2 targeted therapy in TPBC, and vice versa. ER is a well-established nuclear receptor and transcription factor. HER2 mainly functions as a transmembrane receptor, activating cytosolic pro-tumorigenic signaling pathways. However, less-studied nuclear HER2 is involved in the transcriptional regulation of several genes, leading to increased BC cell growth and survival. In this study, we investigate the subcellular localization and transcriptional regulatory functions of ER and HER2 in the unique context of TPBC, using cell fractionation, immunofluorescence, chromatin immunoprecipitation (ChIP)-qPCR, and integrated analysis of ER ChIP-seq/RNA-seq data. We hypothesize that crosstalk between ER and HER2 in the nucleus may, in part, underlie poor response to targeted therapy. At baseline, ER has strong nuclear localization in TPBC cells, BT474 and MDA-MB-361, but is predominantly cytosolic in ER+ MCF7 cells. Activated, phospho-HER2 is also localized to the nucleus of TPBC and HER2+ SkBr3 cells at baseline. Treatment with the anti-HER2 mAb combination of trastuzumab and pertuzumab (TP) induces ER binding to specific ER binding sites (ERBSs) in the enhancers or promoters of PGR, TFF1, and FOXC1 in BT474, but this is not observed in MCF7 or SkBr3 cells. Unlike TP, which increases HER2 nuclear localization but not ERBS recruitment, fulvestrant (a selective ER degrader) induces HER2 binding at the same ERBSs in BT474, but not MCF7 or SkBr3 cells. Collectively, these results suggest that the inhibition of either ER or HER2 can promote chromatin binding of the other at ERBSs. Integration of ER ChIP-seq peaks and differentially expressed genes from RNA-seq of BT474 cells treated with E2 vs control following short-term estrogen deprivation shows the ER cistrome is enriched for genes associated with RNA binding, RNA processing, and ribosome biogenesis. Interestingly, nuclear HER2 is reported to increase BC cell growth by activating transcription of ribosomal RNA genes. By contrast, the ER cistrome in MCF7 cells is enriched for genes associated with cell cycle regulation. In summary, anti-HER2 therapy induces recruitment of ER to well-established ERBSs, while anti-ER treatment causes recruitment of HER2 to these same sites in TPBC. Ongoing and future work leverages HER2 cistrome data to further define nuclear HER2/ER functional interactions, at the level of transcriptional regulation, that may contribute to poor treatment outcomes in TPBC. Presentation: 6/2/2024

7615 Genomic Consequences of GRHL2 Overexpression in ER+ Breast Cancer Cells

Abstract Disclosure: K.O. Allen: None. C. Zheng: None. N. Solodin: None. M.S. Ozers: Owner/Co-Owner; Self; Proteovista, LLC. C.L. Warren: None. P.E. Messa: None. D.T. Vogt: None. E.T. Alarid: None. Breast cancer progression is characterized by the presence and prevalence of metastatic disease. At a genomic level, metastasis can be facilitated via rearrangement of the chromatin landscape to expose oncogenic genes for transcription. Grainyhead like protein 2 (GRHL2) is a nuclear transcription factor implicated in epithelial cell differentiation. The GRHL2 motif has been found near activated estrogen receptor (ER) binding sites, and elevated levels of GRHL2 have been linked to worse prognosis in hormone receptor positive breast cancer patients. In its capacity to contribute to a more severe disease state when overexpressed, GRHL2 may function as either a transcription or pioneer factor to aid in the expression of metastasis-associated genes. Our lab previously showed that GRHL2 genomic binding precedes ER binding at co-regulated binding sites. Also, overexpression of GRHL2 in MCF7 cells for 24 hours did not appreciably alter gene expression by RNA-Seq. These data taken together indicate that GRHL2 may be exhibiting pioneer factor activity. However, the specific role of GRHL2 overexpression in hormone positive breast cancer progression remains unknown. In order to examine the mechanism of GRHL2 action, GRHL2 genomic binding was investigated using a tetracycline-inducible MCF7 model that allows controlled overexpression of GRHL2. ChIP studies were performed to determine GRHL2 binding intensity at specific and genome wide GRHL2 binding sites. Specific focus was given to established GRHL2 binding sites near oncogenic genes responsible for epithelial to mesenchymal transition (EMT), dormancy, and proto-oncogenic behavior. A similar analysis examined H3K27 acetylation to validate active gene transcription. An orthogonal technology, Specificity and Affinity for Protein (SNAP) microarrays, which characterizes direct GRHL2 binding to tiled genomic regions identified in ChIP-Seq analyses from multiple labs, was utilized to discriminate direct and indirect GRHL2 binding sites. The requirement for GRHL2 transactivation function in regulation of EMT related genes was further interrogated using transactivation GRHL2 dominant negative mutants. This work aims to distinguish the transcriptional and non-transcriptional activities of GRHL2 in breast cancer cells on a genome wide level and thereby, provide a deeper understanding of how overexpressed GRHL2 contributes to hormone positive breast cancer. Presentation: 6/3/2024