ETS1 drives EGF-induced glycolytic shift and metastasis of epithelial ovarian cancer cells.

Epithelial ovarian cancer (EOC), a leading cause of gynecological cancer-related morbidity and mortality and the most common type of ovarian cancer (OC), is widely characterized by alterations in the Epidermal Growth Factor (EGF) signaling pathways. The phenomenon of metastasis is largely held accountable for the majority of EOC-associated deaths. Existing literature reports substantiate evidence on the indispensable role of metabolic reprogramming, particularly the phenomenon of the 'Warburg effect' or aerobic glycolysis in priming the cancer cells towards Epithelial to Mesenchymal transition (EMT), subsequently facilitating EMT. Considering the diverse roles of growth factor signaling across different stages of oncogenesis, our prime emphasis was laid on unraveling mechanistic details of EGF-induced 'Warburg effect' and resultant metastasis in EOC cells. Our study puts forth Ets1, an established oncoprotein and key player in OC progression, as the prime metabolic sensor to EGF-induced cues from the tumor microenvironment (TME). EGF treatment has been found to induce Ets1 expression in OC cells predominantly through the Extracellular Signal-Regulated Kinase1/2 (ERK1/2) pathway activation. This subsequently results in pronounced glycolysis, characterized by an enhanced lactate production through transcriptional up-regulation of key determinant genes of the central carbon metabolism namely, hexokinase 2 (HK2) and monocarboxylate transporter 4 (MCT4). Furthermore, this study reports an unforeseen combinatorial blockage of HK2 and MCT4 as an effective approach to mitigate cellular metastasis in OC. Collectively, our work proposes a novel mechanistic insight into EGF-induced glycolytic bias in OC cells and also sheds light on an effective therapeutic intervention approach exploiting these insights.

Advanced computational approaches to understand protein aggregation.

Protein aggregation is a widespread phenomenon implicated in debilitating diseases like Alzheimer's, Parkinson's, and cataracts, presenting complex hurdles for the field of molecular biology. In this review, we explore the evolving realm of computational methods and bioinformatics tools that have revolutionized our comprehension of protein aggregation. Beginning with a discussion of the multifaceted challenges associated with understanding this process and emphasizing the critical need for precise predictive tools, we highlight how computational techniques have become indispensable for understanding protein aggregation. We focus on molecular simulations, notably molecular dynamics (MD) simulations, spanning from atomistic to coarse-grained levels, which have emerged as pivotal tools in unraveling the complex dynamics governing protein aggregation in diseases such as cataracts, Alzheimer's, and Parkinson's. MD simulations provide microscopic insights into protein interactions and the subtleties of aggregation pathways, with advanced techniques like replica exchange molecular dynamics, Metadynamics (MetaD), and umbrella sampling enhancing our understanding by probing intricate energy landscapes and transition states. We delve into specific applications of MD simulations, elucidating the chaperone mechanism underlying cataract formation using Markov state modeling and the intricate pathways and interactions driving the toxic aggregate formation in Alzheimer's and Parkinson's disease. Transitioning we highlight how computational techniques, including bioinformatics, sequence analysis, structural data, machine learning algorithms, and artificial intelligence have become indispensable for predicting protein aggregation propensity and locating aggregation-prone regions within protein sequences. Throughout our exploration, we underscore the symbiotic relationship between computational approaches and empirical data, which has paved the way for potential therapeutic strategies against protein aggregation-related diseases. In conclusion, this review offers a comprehensive overview of advanced computational methodologies and bioinformatics tools that have catalyzed breakthroughs in unraveling the molecular basis of protein aggregation, with significant implications for clinical interventions, standing at the intersection of computational biology and experimental research.

Targeted inhibition of colorectal cancer proliferation: The dual-modulatory role of 2,4-DTBP on anti-apoptotic Bcl-2 and Survivin proteins.

The anti-apoptotic proteins, Bcl-2 and Survivin, are consistently overexpressed in numerous human malignancies, notably in colorectal cancer. 2,4-Di-tert-butylphenol (2,4-DTBP) is a naturally occurring phenolic compound known for its diverse biological activities, including anti-cancer properties. The mechanism behind 2,4-DTBP-induced inhibition of cell proliferation and apoptosis in human colorectal cancer cells, specifically regarding Bcl-2 and Survivin, remains to be elucidated. In this study, we employed both in silico and in vitro methodologies to underpin this interaction at the molecular level. Molecular docking demonstrated a substantial binding affinity of 2,4-DTBP towards Bcl-2 (ΔG = -9.8 kcal/mol) and Survivin (ΔG = -5.6 kcal/mol), suggesting a potential inhibitory effect. Further, molecular dynamic simulations complemented by MM-GBSA calculations confirmed the significant binding of 2,4-DTBP with Bcl-2 (dGbind = -54.85 ± 6.79 kcal/mol) and Survivin (dGbind = -32.36 ± 1.29 kcal/mol). In vitro assays using HCT116 colorectal cancer cells revealed that 2,4-DTBP inhibited proliferation and promoted apoptosis in both a dose- and time-dependent manner. Fluorescence imaging and scanning electron microscopy illustrated the classical features associated with apoptosis upon 2,4-DTBP exposure. Cell cycle analysis through flow cytometry highlighted a G1 phase arrest and apoptosis assay demonstrated increased apoptotic cell population. Notably, western blotting results indicated a decreased expression of Bcl-2 and Survivin post-treatment. Considering the cytoprotective roles of Bcl-2 and Survivin through the inhibition of mitochondrial dysfunction, our findings of disrupted mitochondrial bioenergetics, characterized by reduced ATP production and oxygen consumption, further accentuate the functional impairment of these proteins. Overall, the integration of in silico and in vitro data suggests that 2,4-DTBP holds promise as a therapeutic agent targeting Bcl-2 and Survivin in colorectal cancer.

Molecular Insights into the Inhibitory Role of α-Crystallin against γD-Crystallin Aggregation.

Cataracts, a major cause of global blindness, contribute significantly to the overall prevalence of blindness. The opacification of the lens, resulting in cataract formation, primarily occurs due to the aggregation of crystallin proteins within the eye lens. Despite the high concentration of these crystallins, they remarkably maintain the lens transparency and refractive index. α-Crystallins (α-crys), acting as chaperones, play a crucial role in preventing crystallin aggregation, although the exact molecular mechanism remains uncertain. In this study, we employed a combination of molecular docking, all-atom molecular dynamics simulations, and advanced free energy calculations to investigate the interaction between γD-crystallin (γD-crys), a major structural protein of the eye lens, and α-crystallin proteins. Our findings demonstrate that α-crys exhibits an enhanced affinity for the NTD2 and CTD4 regions of γD-crys. The NTD2 and CTD4 regions form the interface between the N-terminal domain (NTD) and the C-terminal domain (CTD) of the γD-crys protein. By binding to the interface region between the NTD and CTD of the protein, α-crys effectively inhibits the formation of domain-swapped aggregates and mitigates protein aggregation. Analysis of the Markov state models using molecular dynamics trajectories confirms that minimum free energy conformations correspond to the binding of the α-crystallin domain (ACD) of α-crys to NTD2 and CTD4 that form the interdomain interface.

Effect of mutations on the folding and stability of γD-crystallin protein.

Interprotein interactions between the partially unfolded states of γD-crystallin (γD-crys) protein are known to cause cataracts. Therefore, understanding the unfolding pathways of native γD-crys is extremely crucial to delineate their aggregation mechanism. In this study, we have performed extensive all-atom Molecular Dynamics simulations with explicit solvent to understand the role of the critical residues that drive the stability of the motifs and domains of γD-crys in its wild type and mutant forms. Our findings show that while the individual motifs of wild type are not stable in the native form, the individual domains remain structurally stable at 425K. This enhanced stability of the domain was attributed to the hydrophobic interactions between the motifs. Single and double point mutations of the domains with negatively charged aspartic and glutamic acid amino acid residues (I3E, W42D, W42E, I3D/W42D, I3E/W42E, and L92D/W157D) decreases the structural stability, leading to unfolding of individual domains of γD-crys. We believe that our study sheds light on the weakest links of γD-crys, along with the role of interactions stabilizing the domains. Further, this study bolsters and provides a better understanding of the domain swapping mechanism of aggregation of γD-crys.Communicated by Ramaswamy H. Sarma.

Ets1 facilitates EMT/invasion through Drp1-mediated mitochondrial fragmentation in ovarian cancer.

Ovarian cancer has sustained as a major cause of cancer-related female mortality owing to its aggressive nature and a dearth of early detection markers. Ets1 oncoprotein, a transcription factor belonging to the Ets family, is a well-established promoter of epithelial to mesenchymal transition (EMT) and a prospective malignancy marker in ovarian cancer. Our study establishes Ets1 as a regulator of mitochondrial fission-fusion dynamics through Drp1 augmentation via direct binding at DNM1L (DRP1) promoter. Ets1 overexpression-mediated Drp1 increment resulted in mitochondrial load reduction and compromised OXPHOS Complex 5 (ATP synthase) expression, facilitating a greater reliance on glycolysis over OXPHOS. Furthermore, our work demonstrates that inhibition of mitochondrial fission through molecular or pharmacological inhibition of Drp1 successfully mitigates Ets1-associated EMT in both in vitro and in vivo syngeneic mice model. Collectively, our data highlight the role of Drp1-mediated mitochondrial fragmentation in driving Ets1-mediated bioenergetic alterations and EMT/invasion in ovarian cancer.

Understanding the role of hydrophobic patches in protein disaggregation.

Protein folding is a very complex process and, so far, the mechanism of folding still intrigues the research community. Despite a large conformational space available (O(1047) for a 100 amino acid residue), most proteins fold into their native state within a very short time. While small proteins fold relatively fast (a few microseconds) large globular proteins may take as long as several milliseconds to fold. During the folding process, the protein synthesized in the ribosome is exposed to the crowded environment of the cell and is easily prone to misfolding and aggregation due to interactions with other proteins or biomacromolecules present within the cell. These large proteins, therefore, rely on chaperones for their folding and repair. Chaperones are known to have hydrophobic patchy domains that play a crucial role in shielding the protein against misfolding and disaggregation of aggregated proteins. In the current article, Monte Carlo simulations carried out in the framework of the hydrophobic-polar (H-P) lattice model indicate that hydrophobic patchy domains drastically reduce the inter-protein interactions and are efficient in disaggregating proteins. The effectiveness of the disaggregation depends on the size and distribution of these patches on the surface and also on the strength of the interaction between the protein and the surface. Further, our results indicate that when the patch is complementary to the exposed hydrophobic patch of the protein, protein disaggregation is accompanied by stabilization of the protein even relative to its bulk behavior due to favorable protein-surface interactions. We believe that these findings shed light on the role of the class of chaperones known as heat shock proteins (Hsps) on protein disaggregation and refolding.

Mitochondrial Impairment by Cyanine-Based Small Molecules Induces Apoptosis in Cancer Cells.

Mitochondrion, the powerhouse of the cells, has emerged as one of the unorthodox targets in anticancer therapy due to its involvement in several cellular functions. However, the development of small molecules for selective mitochondrial damage in cancer cells remained limited and less explored. To address this, in our work, we have synthesized a natural product inspired cyanine-based 3-methoxy pyrrole small molecule library by a concise strategy. This strategy involves Vilsmeier and Pd(0) catalyzed Suzuki cross-coupling reactions as key steps. The screening of the library members in HeLa cervical cancer cells revealed two new molecules that localized into subcellular mitochondria and damaged them. These small molecules perturbed antiapoptotic (Bcl-2/Bcl-xl) and pro-apoptotic (Bax) proteins to produce reactive oxygen species (ROS). Molecular docking studies showed that both molecules bind more tightly with the BH3 domain of Bcl-2 proteins compared to obatoclax (a pan-Bcl-2 inhibitor). These novel small molecules arrested the cell cycle in the G0/G1 phase, cleaved caspase-3/9, and finally prompted late apoptosis. This small molecule-mediated mitochondrial damage induced remarkably high cervical cancer cell death. These unique small molecules can be further explored as chemical biology tools and next-generation organelle-targeted anticancer therapy.

Surface Patterning for Enhanced Protein Stability: Insights from Molecular Simulations.

Reduced activity of enzymes upon immobilization is a major challenge for the industrial use of enzymes. Enzyme-surface interactions and interactions between the immobilized enzymes are thought of as primary reasons for the reduced activity. In the current paper, we study the thermal and structural stability of proteins on a patterned hydrophobic surface in the framework of a hydrophobic-polar lattice model. Our results indicate that, while a homogeneous hydrophobic surface denatures the proteins, carefully patterned surfaces can dramatically increase the stability of adsorbed proteins. The size, shape, and the distance between surface patterns play a significant role in determining the stability of proteins. When the spacing between the patterns is large, maximum stability is observed when the surface pattern is complementary to the exposed hydrophobic domain of the protein, while at smaller spacing, patterns with lower hydrophobicity stabilize the protein more compared to the complementary pattern. The findings from the paper can be rationalized to design novel enzyme-specific surfaces for immobilization with enhanced enzymatic activity.