Biology subjects

Chatterjee, A.

Publications and source records attributed to Chatterjee, A..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

A 3D iPSC retina model reveals non-cell-autonomous and non-neuronal mechanism of photoreceptor degeneration in a lysosomal storage disorder.

Disruption of photoreceptor-retinal pigment epithelium (RPE) interface with loss of photoreceptor outer segments (POSs) in the retina is a pathological hallmark of several neurodegenerative and retinal diseases including lysosomal storage disorders like CLN3 disease. However, the retina is a functional composite in vivo; and in vitro stem cell models of retina that enable investigation of the photoreceptor-RPE interface in healthy and diseased retina are lacking. Here, we developed a 3D human pluripotent stem cell (hPSC)-derived retina model to investigate the photoreceptor-RPE interface in healthy and disease tissue. Using this 3D hPSC retina model, we demonstrated that the most common disease causing CLN3 mutation (CLN3{Delta}ex7-8) leads to reduced levels of acid ceramidase (AC) and consequently altered sphingolipid metabolism and signaling and POS loss in CLN3 disease. Consistent with the 3D hPSC retina model, altered sphingolipid metabolism and signaling coincided with POS loss in a large animal model of CLN3 disease, CLN3 miniswine. Therapeutically, recombinant human acid ceramidase (rhAC) targeted both altered sphingolipid metabolism and retina degeneration in the CLN3 hPSC retina model and the CLN3 miniswine eye. These findings demonstrate a proof-of-concept that rhAC can rescue disease phenotype in a large animal model of CLN3 disease and suggest that rhAC could be a therapeutic approach for CLN3 disease. One Sentence SummaryAcid ceramidase deficiency and consequently altered sphingolipid signaling promotes disease phenotype(s) in a lysosomal storage disorder, CLN3 disease.

neuroscience↗

bioRxiv2025

Enteropancreatic neurons drive the glucoregulatory response to ingested lipid

Enteropancreatic neurons project from the small intestinal wall to the pancreas. Though well positioned to mediate the effects of ingested nutrients on pancreatic function, the metabolic role of these neurons is unclear. Diets rich in olive oil promote weight loss and improve remission rates in patients with T2DM. Here, we show that olive oil improves acute glucose tolerance by stimulating insulin release via neurotensin receptor type 1 (NTSR1)-expressing enteropancreatic neurons. These neurons are necessary for the effects of olive and neurotensin on glucose tolerance, and their activation is sufficient to improve glucose tolerance. These findings suggest a mechanism by which dietary olive oil regulates blood glucose levels and present a novel functional role for enteropancreatic neurons in regulating glucose homeostasis.

physiology↗

bioRxiv2025

Immunogenicity and Structural Features of a Stabilized Clade-C HIV-1 Env Derived from a Pediatric Elite-neutralizer

The envelope (Env) glycoprotein derived from circulating viruses in elite-neutralizers (who naturally develop broadly neutralizing antibodies (bNAbs)), serves as potential template for HIV-1 vaccine design. Herein, we report the structure and immunogenicity of soluble clade-C HIV-1 Env trimer (330) derived from a pediatric elite-neutralizer (AIIMS_330). Using SOSIP, NFL and ferritin-nanoparticle (NP) platforms, we engineered immunogens that preserved native-like Env conformation, exhibited high thermostability and nanomolar affinity for diverse bNAbs, with minimal reactivity to non-neutralizing antibodies. Cryo-EM structure solved at 5 [A] resolution of 330-SOSIP trimer-autologous bNAb 44m complex revealed interactions at GDIR motif, N332 supersite along with additional contacts at E293, K337, K446 and glycans N326, N442, N448, as compared to our previously reported BG505-44m structure. Rabbit immunizations with soluble and NP-displayed formats elicited autologous, and heterologous neutralization of tier-1 clade-C viruses. Herein we define a structurally resolved HIV-1 clade C Env that supports multivalent vaccine strategies and provides mechanistic insights toward rational HIV-1 immunogen design.

immunology↗

bioRxiv2025

TGFb Regulated Small GTPase RHOV interact with PEAK1 and drive MYC Expression to Promote Cellular Proliferation, Migration and Etoposide resistance

1.Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality, driven by tumor heterogeneity, metastasis, and therapeutic resistance. While Rho GTPases are well-established regulators of oncogenic processes, the role of the atypical GTPases in NSCLC remains unexplored. Here, we identified RHOV as one of the commonly upregulated Rho GTPases in NSCLC. Analysis of four independent patient cohorts revealed that elevated RHOV expression serves as a robust and independent prognosticator of NSCLC patients specifically early-stage disease. Functionally, RHOV knockdown significantly inhibited cell proliferation, whereas its overexpression enhanced proliferation. Similarly, RHOV depletion suppressed cell migration by disrupting cytoskeletal dynamics, while its overexpression promoted migratory capacity. Mechanistically, we demonstrated that RHOV is a direct transcriptional target of the TGF{beta}-SMAD3 signaling pathway. RNA-seq analysis identified MYC as a critical downstream mediator of RHOV; RHOV knockdown reduced MYC expression, impairing mitochondrial oxidative phosphorylation and inducing ROS-mediated DNA damage--a phenotype rescued by MYC overexpression. Furthermore, RHOV inhibition sensitized NSCLC cells to etoposide but not doxorubicin. immunoprecipitation coupled with LC-MS revealed PEAK1 as a key interactor of RHOV. The RHOV-PEAK1 complex proved essential for NSCLC proliferation, as PEAK1 silencing abolished RHOV- driven MYC upregulation and tumor growth. This axis sustains MYC levels and activates PI3K/MAPK signaling. Intriguingly, PEAK1 depletion elevated TGF-{beta} levels, which suppressed RHOV expression, establishing a negative feedback loop wherein PEAK1 maintains RHOV by inhibiting TGF-{beta} signaling. Collectively, our findings establish RHOV as a prognostic biomarker and a driver of NSCLC progression via the RHOV-PEAK1-MYC axis, highlighting its potential as a therapeutic target. HighlightsO_LIRHOV upregulation predicts poor NSCLC survival, particularly in early-stage disease. C_LIO_LIThe RHOV-PEAK1 interaction is crucial for NSCLC growth and cell migration. C_LIO_LIRHOV inhibition sensitizes NSCLC cells to Etoposide treatment. C_LIO_LIRHOV expression is sustained via a PEAK1-TGF{beta} negative feedback loop. C_LI

cancer biology↗

bioRxiv2025

MRPL47 Deficiency Drives Mitochondrial Dysfunction via ROS/p38-MAPK/CDKN1A Signaling in Non-Small Cell Lung Cancer

Mitoribosomes play a pivotal role in cellular energy metabolism by synthesizing proteins involved in oxidative phosphorylation (OXPHOS) system. Dysregulation of mitoribosomes has been linked to Cancer, yet there have been no studies demonstrating the genetics and epigenetic landscape of mitoribosomal proteins (MRPs). In this study, we conducted a comprehensive analysis of expression, copy number variations, mutations, data from TCGA NSCLC patients to elucidate the genetic mechanism regulating MRPs in NSCLC. Consequently, we identified MRPL47, a significantly amplified and overexpressed mitoribosomal gene. We also found significant correlation of MRPL47 expression and copy number with patients survival. Functionally, we showed that inhibition of MRPL47 was associated with reduced cell proliferation and migration. Furthermore, silencing MRPL47 impaired the enzymatic activity of electron chain complex I & III leading to a defective OXPHOS system and elevated mitochondrial ROS level. Further, we showed ROS-mediated increase in CDKN1A through the p38 MAPK pathway. The increased CDKN1A level induced G1 cell cycle arrest by inhibiting E2F activity. RNA sequencing analysis further confirmed that MRPL47 hinders cell growth by inhibiting E2F pathway. Additionally, we found that MRPL47 selectively regulates mitochondrial translation of specific OXPHOS proteins rather than influencing all mitochondrial proteins. Altogether, these findings suggest that MARPL47, is amplified and overexpressed in NSCLC and plays a critical role in tumor progression by regulating ROS signaling pathways.

cancer biology↗

bioRxiv2024

GJB3, a gap junction gene, supports cell growth by mediating cystine uptake and regulating cellular stress pathways in SLC7A11 low adenocarcinomas

Gap junctions are specialized intercellular connections that directly connect the cytoplasm of two cells via protein structure called connexins. Despite extensive research on many cell surface proteins, Gap junction proteins are understudied in cancer. In this study, we used TCGA data to identify genetic and epigenetic changes associated with Gap junction proteins. The analysis identified GJB3 as a key gene with differential methylation and expression patterns, with notable overexpression in COAD and LUAD, correlating significantly with patient survival outcomes. GJB3 knockdown studies revealed reduced cell proliferation and migration. Transcriptomic analysis revealed that GJB3 knockdown induced a cellular stress response, characterized by activation of starvation and autophagy pathways. Western blot analysis confirmed these findings, showing increased phosphorylation of eIF2 and activation of the GCN2-eIF2-ATF4 signaling axis subsequent autophagy induction. We also found that sustained autophagy induced apoptosis mediated cell death. Metabolic profiling revealed a significant decrease in cystine levels in GJB3-deficient cells. We demonstrated that GJB3 plays a crucial role in cystine uptake, especially in cells with low SLC7A11 expression. Furthermore, we showed that GJB3 can be targeted using specific antibodies, establishing it as a potential therapeutic strategy for GJB3-dependent cancers. These findings highlight the significance of GJB3 in cancer progression and its potential as a therapeutic target, offering new insights into its epigenetic regulation and functional role in cellular stress and survival mechanisms.

cancer biology↗

bioRxiv2024

Optimized directed evolution of E. coli leucyl-tRNA synthetase adds many noncanonical amino acids into the eukaryotic genetic code including ornithine and Nepsilon-acetyl-methyllysine

Site-specific incorporation of noncanonical amino acids (ncAAs) into proteins in eukaryotes has predominantly relied on the pyrrolysyl-tRNA synthetase/tRNA pair. However, access to additional easily engineered pairs is crucial for expanding the structural diversity of the ncAA toolbox in eukaryotes. The Escherichia coli-derived leucyl-tRNA synthetase (EcLeuRS)/tRNA pair presents a particularly promising alternative. This pair has been engineered to charge a small yet structurally diverse group of ncAAs in eukaryotic cells. However, expanding the substrate scope of EcLeuRS has been difficult due to the suboptimal yeast-based directed evolution platform used for its engineering. In this study, we address this limitation by optimizing the yeast-based directed evolution platform for efficient selection of ncAA-selective EcLeuRS mutants. Using the optimized selection system, we demonstrate rapid isolation of many novel EcLeuRS mutants capable of incorporating various ncAAs in mammalian cells, including ornithine and N{varepsilon}-acetyl-methyllysine, a recently discovered post-translational modification in mammalian cells.

synthetic biology↗

bioRxiv2024

Representation Learning of Human Disease Mechanisms for a Foundation Model in Rare and Common Diseases

A fundamental challenge in translational medicine is the computational modeling of complex human diseases to accelerate therapeutic development. Representation learning provides a powerful framework to address this, yet creating models that capture deep biological mechanisms remains a critical need. To this end, we propose a novel strategy that partitions the disease landscape into rare and non-rare categories, enabling systematic knowledge repurposing both within and between these groups. Here, we introduce Dis2Vec (Disease to Vector), a representation learning framework designed to operationalize this concept. Dis2Vec generates biologically grounded disease embeddings by learning from human genetic and phenotypic data, forming the foundation for Disease-Disease Association Learning (DDAL) and unsupervised disease clustering. We evaluate Dis2Vec representations in two downstream applications. First, we assess DDAL performance on a transfer learning benchmark designed to predict therapeutic transferability, using real-world drug repurposing investment decisions made in clinical trials. Second, unsupervised clustering analyses reveal shared biological mechanisms across diseases. By modeling the disease landscape in this way, Dis2Vec enhances translational research efficiency across both rare and non-rare diseases, advancing the development of foundational models for therapeutic science. Furthermore, Dis2Vec establishes a biologically grounded disease-representation and benchmarking layer that paves the way for trustworthy agentic biomedical AI systems in rare-disease indication expansion.

systems biology↗

bioRxiv2024

Divergent Functions of Late ESCRT Components in Giardia lamblia: Insights from Subcellular Distributions and Protein Interactions

Giardia lamblia, a human gut pathogen, possesses a minimal ESCRT (Endosomal Sorting Complex Required for Transport) machinery. Paradoxically, there are multiple paralogs of some late-ESCRT components. There are three paralogs for Vps4, GlVps4a, GlVps4b, and GlVps4c, and two for Vps46, GlVps46a, and GlVps46b. This study addressed whether these paralogs discharge overlapping and/or distinct cellular functions by determining the sub-cellular distribution of the paralogs in trophozoites and during encysting. Consistent with the distribution of orthologs in model organisms, most of these components were found to be associated with various cellular membranes, particularly in regions of acute membrane bending. Some of these paralogs are also associated with microtubule structures, such as cytoplasmic axonemes and the median body. Considering their diverse sub-cellular distributions, it is likely that they perform non-overlapping functions within the cell. Furthermore, their redistribution during encystation indicates that they may play a role in the morphological and functional changes accompanying this transition. The study also characterized GlIst1, an ESCRT-III accessory protein that undergoes unique post-translational myristoylation at lysine 43, potentially aiding its membrane recruitment. GlIst1 selectively interacts with GlVps4b through non-canonical MIT-MIM interactions. GlIst1 also exhibits selective interaction with GlVps46b. Such selective interaction of GlIst1 with only specific paralogs of GlVps4 and GlVps46 further underscores the distinct cellular roles of these paralogs. Author SummaryGiardia lamblia, a unicellular protozoan parasite, is the causative agent of giardiasis, a water-transmitted disease affecting millions globally. This disease poses a substantial threat to public health, especially in less developed countries, where clean water and proper sanitation are scarce. The parasite manifests in two morphologically distinct forms, trophozoites and cysts. Transformation between these forms is essential for the organisms survival, spread, and infection processes. Trophozoites, the active and motile form of Giardia, inhabit the small intestine of the host and trigger infections. These trophozoites can transform into cysts through encystation, enabling the parasite to endure harsh external environments and spread between hosts through contaminated water or food sources. The transition between these states necessitates extensive membrane restructuring. Such changes are likely to involve the Endosomal Sorting Complex Required for Transport (ESCRT) machinery, as it has been shown to participate in both prokaryotic and eukaryotic membrane remodeling events. Our research sheds light on the ESCRT machinery in G. lamblia, a crucial membrane-shaping system that may facilitate the transition between trophozoites and cysts. The ESCRT machinery in G. lamblia is distinct from that in yeast and humans, representing one of the most basic ESCRT systems. Our investigation provides valuable information about the intracellular distribution of various late-ESCRT components under different conditions, their potential functions, and their interactions with other late-ESCRT components. These findings may contribute significantly to our understanding of the basic operation of the ESCRT machinery in this parasite.

cell biology↗

bioRxiv2024

Neuropeptide Dynamics Coordinate Layered Plasticity Mechanisms Adapting Drosophila Circadian Behavior to Changing Environment.

The Drosophila brain contains distinct sets of circadian oscillators responsible for generating the morning and evening bouts of locomotor activity, giving rise to a bimodal rest-activity pattern in light-dark cycles. We lack a mechanistic understanding of how environmental changes reshape this daily profile of rest-activity pattern. Here, we uncover a seasonal switch mechanism that remodels the evening bout of activity. Under summer-like conditions, an environment favored by fruit flies in temperate climates, levels of the PDF neuropeptide diminish, triggering a cascade. Lowered PDFR signaling disinhibits GSK3/SGG to advance the evening output. Upon sensing PDF loss, the neural activity weakens in the DN1p-SIFa circuit, responsible for promoting afternoon rest; leading to an earlier appearance of the evening peak. At the same time, the functional connections from DN1p to LNd oscillators strengthen, consequently handing over the evening pacemaker role to the DN1ps. Taken together, our findings elucidate how environment-induced changes in PDFR signaling tip the balanced output of the clock network, aligning daily rhythms with seasonal time. Neuropeptide-driven parallel adjustment of clock circuitry and clock protein functioning likely represents a conserved strategy across animal species, enabling them to adapt their daily behavior to seasonal changes throughout the year.

neuroscience↗

bioRxiv2024

RNA promotes mitochondrial import of F1-ATP synthase subunit alpha (ATP5A1)

Most mitochondrial proteins are encoded by the nuclear genome, translated as precursor proteins in the cytosol and matured during directed import into the mitochondria 1. For many mitochondrial proteins this process is carefully regulated to meet demand and to avoid mitochondrial stress 2,3,4. Recently, mitochondrial F1-ATP synthase subunits have been found to interact with RNA across various eukaryotes. This includes genome wide RNA-interactome studies from yeast 5-7, fruit flies 8,9, plants 10-12, mice 13-17 and humans 18-24. To shed light on this unexpected observation, we determined the interacting cellular RNAs of ATP5A1 and the subcellular sites of interaction. Using RNA binding-deficient mutants of ATP5A1 and functional assays, we show that specific cytosolic RNAs bind ATP5A1 precursor proteins at the outer surface of mitochondria and promote their mitochondrial import both in vitro and in cellulo. These findings add an unexpected twist to understanding mitochondrial protein import and expand the growing list of riboregulated cellular processes.

cell biology↗

bioRxiv2024

A facile chemical strategy to synthesize precise AAV-protein conjugates for targeted gene delivery

The efficacy of current gene therapy approaches using adeno associated virus (AAV) vectors is limited by the poor control over their tissue tropism. Untargeted AAV vectors require high doses to achieve therapeutic efficacy, which is associated with toxic off-target impacts and increased therapeutic costs. The ability to reprogram existing AAV vectors to selectively transduce target tissues is essential to develop next-generation human gene therapies that are safer, more efficacious, and less expensive. Using selective and high-affinity antibodies and antibody-like proteins to retarget existing AAV vectors to bind novel cell-surface receptors offers an attractive and modular approach to reprogram their tropism. However, attaching these proteins onto the complex and delicate AAV capsids remains challenging. Here, we report a versatile chemical strategy to covalently attach recombinant proteins onto the capsid of AAV, using a combination of genetic code expansion and bioorthogonal conjugation chemistry. This method is efficient, and allows precise control over the site and stoichiometry of protein attachment onto the AAV capsid, enabling systematic optimization of the resulting conjugate. Using this approach, we generated conjugates of AAV2 with an anti-HER2 nanobody and a full-length anti-HER2 IgG, which show highly efficient and selective gene delivery into HER2+ cancer cells. Remarkably, the optimized AAV2-nanobody conjugate facilitated efficient transduction of HER2+ tumor xenograft in mice with little off-target gene expression, including in the liver. Programmable synthesis of AAV-protein conjugates using this method offers a promising new strategy to rationally engineer next-generation gene therapy vectors.

synthetic biology↗

bioRxiv2024

Early 2022 breakthrough infection sera from India target the conserved cryptic class 5 epitope to counteract immune escape by SARS-CoV-2 variants

During the COVID-19 pandemic, the vast majority of epitope mapping studies have focused on sera from mRNA-vaccinated populations from high-income countries. In contrast, here we report an analysis of 164 serum samples isolated from breakthrough infection patients in India during early 2022 who received two doses of the ChAdOx viral vector vaccine. Sera were screened for neutralization breadth against wildtype, Kappa, Delta, and Omicron BA.1 viruses. Three sera with the highest neutralization breadth and potency were selected for epitope mapping using charged scanning mutagenesis coupled to yeast surface display and Next Generation Sequencing. All of these sera primarily targeted the recently identified class 5 cryptic epitope along with the class 1 and class 4 epitopes, targeted to a lesser extent. The class 5 epitope is completely conserved across all SARS-CoV-2 variants and for the majority of the Sarbecoviruses. In line with these observations, a major fraction of the serum samples, including the selected three, show broad neutralizing activity against recent Omicron subvariants including XBB.1.5. This is in contrast with the results obtained with the sera from individuals receiving multiple doses of original and updated mRNA vaccines, where impaired neutralization of XBB and later variant of concerns was observed. Our study demonstrates that two doses of the ChAdOx vaccine in a highly exposed population was sufficient to drive substantial neutralization breadth against emerging and upcoming variants of concern, thus paves the path towards the development of future vaccine candidates. ImportanceWorldwide implementation of COVID19 vaccine and parallel emergence of newer SARS-CoV-2 variants has shaped the humoral immune response in a population specific manner. While characterization of this immune response is important for monitoring the disease progression at population level, it is also imperative for the development of effective countermeasures in the form of novel vaccines and therapeutics. India has implemented the worlds second largest COVID19 vaccination drive and also encountered large number of post vaccination "breakthrough" infections. From a cohort of breakthrough infection patients, we identified individuals whose sera showed broadly cross-reactive immunity against different SARS-CoV-2 variants. Interestingly, these sera primarily target a novel cryptic epitope which was not identified in previous population level studies conducted in western countries. This rare cryptic epitope remains conserved across all SARS-CoV-2 variants including the recently emerged ones and also for the SARS-like coronaviruses that may cause future outbreaks, thus representing a potential target for future vaccines.

molecular biology↗

bioRxiv2024

Single-cell analysis of human diversity in circulating immune cells

Lack of diversity and proportionate representation in genomics datasets and databases contributes to inequity in healthcare outcomes globally1,2. The relationships of human diversity with biological and biomedical phenotypes are pervasive3, yet remain understudied, particularly in a single-cell genomics context. Here we present the Asian Immune Diversity Atlas (AIDA), a multi-national single-cell RNA-sequencing (scRNA-seq) healthy reference atlas of human immune cells. AIDA comprises 1,265,624 circulating immune cells from 619 healthy donors and 6 controls, spanning 7 population groups across 5 countries. AIDA is one of the largest healthy blood datasets in terms of number of cells, and also the most diverse in terms of number of population groups. Though population groups are frequently compared at the continental level, we identified a pervasive impact of sub-continental diversity on cellular and molecular properties of immune cells. These included cell populations and genes implicated in disease risk and pathogenesis as well as those relevant for diagnostics. We detected single-cell signatures of human diversity not apparent at the level of cell types, as well as modulation of the effects of age and sex by self-reported ethnicity. We discovered functional genetic variants influencing cell type-specific gene expression, including context-dependent effects, which were under-represented in analyses of non-Asian population groups, and which helped contextualise disease-associated variants. We validated our findings using multiple independent datasets and cohorts. AIDA provides fundamental insights into the relationships of human diversity with immune cell phenotypes, enables analyses of multi-ancestry disease datasets, and facilitates the development of precision medicine efforts in Asia and beyond.

genomics↗

bioRxiv2024

G-Quadruplex Mediated c-myc Specific Downregulation: A Unique Pathway of the Anticancer Action of Immunomodulator Drugs

AbstractHydroxychloroquine (HCQ), and chloroquine (CQ) are in the preclinical trial stage for cancer along with their active application in autoimmune diseases and malaria. One of the critical hallmarks of cancer cells is the elevated expression of various oncogenes which promote cancer progression and contribute to poor prognosis. The upstream of the promoter region of these oncogenes often exhibits a G-quadruplex (G4) DNA structure which regulates the gene expression. Hence, targeting G4 structure has emerged as a promising therapeutic strategy for cancer. In this study, the recognition of HCQ and CQ with the G4 structure of different oncogenes and its effect on gene regulation has been explored by a combination of various biophysical and in-vitro and in-vivo biological methods. This study depicts that HCQ and CQ downregulate the c-myc oncogene transcription significantly in a G4-dependent manner compared to other oncogenes. The different biophysical techniques and molecular dynamics simulation studies illustrate that these drug molecules stack predominately at the terminal of the c-myc G4 and the binding of these molecules stabilizes c-myc G4 significantly higher than the G4 structure of other oncogenes. The in-vitro cell data exhibit a notable reduction in both c-myc mRNA and protein levels in a triple-negative breast cancer cell line following HCQ treatment. The pre-clinical breast cancer mouse model in-vivo data also indicate that HCQ reduces tumor growth through the downregulation of the c-myc oncogene. Simultaneously, HCQ also enhances the therapeutic efficacy of standard chemotherapeutic agents to be a potential candidate for combination therapy. This work demonstrates the alternative strategy of anticancer action of widely used drugs by specifically downregulating the c-myc oncogene in a G4-dependent manner.

biochemistry↗

bioRxiv2024

Crosstalk between plasma membrane and Staphylococcus α-hemolysin during oligomerization

The infectious microbe Staphylococcus aureus releases an array of cytotoxic pore-forming toxins (PFTs) that severely damage the cell membrane during bacterial infection. However, the interaction interfaces between the host cell and toxin were merely explored. Herein, we monitored the active oligomeric states facilitated membrane disruption processes such as lysis, and protrusion in the plasma membrane and lipid membrane. Furthermore, necrosis was triggered in the neutrophil-like cells upon synergistic binding and oligomerization of the monomeric -HL. Additionally, we solved RBC membrane stabilized structure of different conformational states of this {beta}-PFT using a single-particle cryo-EM. We further confirmed that internal membrane fluidity was the deterministic factor associated with the formation of intermediate pre-pores, heptameric pore-like, and complete pore species. Together, this is the first study to unveil the structure-function analysis of pre-pore to pore transition of any small {beta}-PFT during its crosstalk with the cell. HighlightsO_LI-HL promotes necrosis in HL60 cells and lysis of shorter lipid bilayer region. C_LIO_LICryo-EM of small PFT in the cellular environment. C_LIO_LIStructural characterization of heptameric pore, pore-like, and pre-pore complex in the presence of RBCs. C_LIO_LIBilayer phase behavior (Ld/Lo) governs different conformational and geometrical variants of -HL. C_LI

biophysics↗

bioRxiv2024

Enterococcal quorum-controlled protease alters phage infection

Increased prevalence of multidrug resistant bacterial infections has sparked interest in alternative antimicrobials, including bacteriophages (phages). Limited understanding of the phage infection process hampers our ability to utilize phages to their full therapeutic potential. To understand phage infection dynamics we performed proteomics on Enterococcus faecalis infected with the phage VPE25. We discovered numerous uncharacterized phage proteins are produced during phage infection of Enterococcus faecalis. Additionally, we identified hundreds of changes in bacterial protein abundances during infection. One such protein, enterococcal gelatinase (GelE), an fsr quorum sensing regulated protease involved in biofilm formation and virulence, was reduced during VPE25 infection. Plaque assays showed that mutation of either the fsrA or gelE resulted in plaques with a "halo" morphology and significantly larger diameters, suggesting decreased protection from phage infection. GelE-associated protection during phage infection is dependent on the murein hydrolase regulator LrgA and antiholin-like protein LrgB, whose expression have been shown to be regulated by GelE. Our work may be leveraged in the development of phage therapies that can modulate the production of GelE thereby altering biofilm formation and decreasing E. faecalis virulence.

microbiology↗

bioRxiv2024

Topology-Driven Negative Sampling Enhances Generalizability in Protein-Protein Interaction Prediction

Unraveling the human interactome to uncover disease-specific patterns and discover drug targets hinges on accurate protein-protein interaction (PPI) predictions. However, challenges persist in machine learning (ML) models due to a scarcity of quality hard negative samples, shortcut learning, and limited generalizability to novel proteins. Here, we introduce a novel approach for strategic sampling of protein-protein non-interactions (PPNIs) by leveraging higher-order network characteristics that capture the inherent complementarity-driven mechanisms of PPIs. Next, we introduce UPNA-PPI (Unsupervised Pre-training of Node Attributes tuned for PPI), a high throughput sequence-to-function ML pipeline, integrating unsupervised pretraining in protein representation learning with topological PPNI samples, capable of efficiently screening billions of interactions. UPNA-PPI improves PPI prediction generalizability and interpretability, particularly in identifying potential binding sites locations on amino acid sequences, strengthening the prioritization of screening assays and facilitating the transferability of ML predictions across protein families and homodimers. UPNA-PPI establishes the foundation for a fundamental negative sampling methodology in graph machine learning by integrating insights from network topology.

bioinformatics↗