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Srivastava, A.

Publications and source records attributed to Srivastava, A..

At least 55 records · Page 3Linked to original sources

Sirtuin 2 controls global protein synthesis by regulating Rheb-GTPase

Upregulated global protein synthesis is associated with the development and progression of several diseases and disorders. Strategies like calorie restriction and pharmacological inhibition of protein synthesis, have exhibited health-promoting effects. However, the complex molecular events that regulate global protein synthesis are not completely understood. Here, we report that SIRT2, a histone deacylase, negatively regulates global protein synthesis by inhibiting the mTORC1 pathway via deacetylating Rheb and promoting Rheb degradation. Our in vitro results suggest that SIRT2 deficiency increases protein synthesis, whereas SIRT2 overexpression suppresses protein synthesis. SIRT2-deficient mice exhibit age-associated and neurohormone-induced cardiac hypertrophy. Here, we report increased global protein synthesis in the hearts of young SIRT2-deficient mice, which may contribute to the development of cardiac hypertrophy. Conversely, cardiac-specific overexpression of SIRT2 reduces global protein synthesis in mice hearts. Mechanistically, SIRT2 binds to and deacetylates Rheb at K151 residue to enhance ubiquitin-proteosome-mediated degradation of Rheb. Depletion of Rheb rescues the increased protein synthesis in SIRT2-inhibited conditions. Our findings suggest that SIRT2 activation can be a potential therapeutic for treating diseases associated with increased protein synthesis.

cell biology↗

Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes

Functionally important "fold-switching" proteins, which do not obey the classical folding dogma, are now thought to be widespread. Algorithms that can accurately annotate fold-switching proteins from sequence information can help uncover the true extent of the "metamorphome". Here, we present Morpheus, a fragment-based classification approach, that works by analysing the diversity of structures within a query protein sequence. Morpheus exhaustively curates and uses fragment structural data from the protein data bank as well as the AlphaFold Protein Structure Database. We employed our algorithm on 57 different proteomes consisting of a total of 601,218 proteins and identified about 10% of these proteins with the ability to fold switch. Additionally, we provide a web server for Morpheus to test for metamorphic propensities for user-defined sequences (http://mbu.iisc.ac.in/[~]anand/morpheus). Besides screening for metamorphic behaviour in proteomes, our work will be useful in de novo design and engineering of such proteins through further experimentation.

bioinformatics↗

Light induces Phytochrome B SUMOylation to recruit the immune regulator NPR1 in nuclear condensates to control immunity in plants

It has long been observed that light perception by phytochromes control plant immunity, however, the underpinning molecular mechanism is less well understood. We demonstrate that light mediated SUMO conjugation to Phytochrome B (PhyB) is critical for increasing cellular salicylic-acid (SA) levels to orchestrate systemic acquired resistance (SAR) upon avirulent bacterial infection. SUMOylation is critical for PhyB nuclear condensate formation during light activated immunity. Light induced PhyB SUMOylation recruits NPR1, through its SUMO interacting motif to nuclear condensates to elevate SA levels for immune responses. In the dark during SAR, elevated SA levels substitute for light to maintain PhyB SUMOylation and immune-related photobody formation by stimulating the degradation of PhyB targeting deSUMOylase, OTS1. SUMOylated PhyB-NPR1 immune photobodies associate with TGA transcription factor associated chromatin to trigger immune gene expression. We unravel a mechanism where SUMOylation can enable light to recruit NPR1 to PhyB nuclear condensates to form immune photobodies to regulate plant immunity. HighlightsO_LILight-dependent immunity in plants relies on the SUMO mediated interaction between the photoreceptor PhyB and the Salicylic Acid (SA) receptor NPR1. C_LIO_LILight induced PhyB SUMOylation recruits NPR1 to nuclear condensates which we identify as immune photobodies that elevate SA levels for immune responses. C_LIO_LIIn darkness, SA can replace light in enabling PhyB-NPR1 immune photobody formation by regulating SUMOylation revealing a SA mediated mechanism for controlling PhyB liquid-liquid phase separation. C_LIO_LISUMO-modified PhyB-NPR1 immune photobodies regulate transcriptional activity of immune associated chromatin to shape defence responses in plants. C_LI

plant biology↗

Rationale design of peptide inhibitors for α-Synuclein liquid condensates and fibrillar aggregates using multiscale modelling approach

-Synuclein is an intrinsically disordered protein (IDP) whose aggregation is implicated in Parkinsons disorder. Herein, we computationally design a -Synuclein derived potential peptide inhibitor against the proteins monomeric, fibrillar and liquid condensate forms using multi-scale molecular modelling approaches. Since the conventional structure-based design paradigm often is not applicable to these highly labile IDPs, we first develop a pipeline to generate an exhaustive library of small candidate peptides from an available repository of -Synuclein 70 {micro}s all-atom molecular dynamics (AAMD) trajectory data. We then use high throughput screening techniques such as PATCHDOCK and HPEPDOCK as well as AAMD simulations to arrive at a single candidate peptide. AAMD simulations data show that -Synuclein bound peptide chain leads to an expanded conformational ensemble for the chain and also reduces the {beta}-sheet propensity of the proteins fibrillar amylogenic aggregates. Coarse-grained simulations using HPS-Cation forcefield with 100 chains of -Synuclein and varying levels of candidate peptides shows decreased density and increased apparent critical temperature of the condensate system. Our detailed molecular interactions analyses show that peptides bind to the -Synucleins through the "dynamic shuttling mechanism" where interaction are frequently made and broken around a given set of structurally proximal residues, which likely softens the dynamic interaction network in the condensates. Together, we could illustrate the inhibitory effect of the final designed peptide against distinct forms of -Synuclein monomer and aggregates. Our work provides a multiscale simulation based prescription towards the futuristic development of therapeutic strategies against the disordered proteins.

biophysics↗

Evaluation of Immunopharmacological Efficacy of Live Leishmania donovani Overexpressing Ld_ζ1domain for Protection Against Experimental Human Visceral Leishmaniasis

ObjectiveTo evaluate the efficacy and immunogenicity of the zeta domain over-expressing Leishmania donovani (Ld_{zeta}1domain) as a vaccination candidate against visceral leishmaniasis (VL). MethodsIn this study, Leishmania overexpressor Ld_{zeta}1domain (OE) were transformed by electroporation using a GFP-tagged Ld_{zeta}1domain recombinant plasmid. The resulting overexpressing cells were analysed in vitro to assess their growth dynamics and infectivity. We also investigated the immune-protective potential of these overexpressor in a mouse model challenged with Leishmania donovani. The immune response, including Th1 and Th2 pathways, was thoroughly characterized using RT-PCR and ELISA assays. In addition, the study conducted a thorough evaluation of the mouses spleen and liver parasites, as well as quantitative evaluation of tissue pathological changes. ResultsLd_{zeta}1 domain (OE) parasites exhibited significantly lower viability and replication rates than WT parasites, and in vivo studies showed that mice immunized with the Ld_{zeta}1(OE) domain had lower parasite numbers than mice infected with LdWT. Spleen and liver showed significant histological changes suggestive of protection. Parasite burden in the spleen and liver of vaccinated mice were significantly reduced. The immune response showed increased IFN-{gamma} levels and lower IL-10 production, resulting in a greater IFN-{gamma}/IL-10 ratio, indicating parasite elimination. The vaccination also caused a significant IgG humoral response and increased nitric oxide production in immunized mice. ConclusionOur findings demonstrated that overexpressing the zeta toxin resulted in controlled parasite attenuation, lowering pathogenicity while retaining immunogenic features. Our work established the zeta over-expressors protective efficacy, immunogenicity, and proliferation in response to a Leishmania challenge in vitro and in vivo. This preliminary prototype study suggested that Ld_{zeta}1domain (OE) parasites may be suitable for developing an attenuated vaccine against leishmaniasis. Graphical representation O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=88 SRC="FIGDIR/small/630021v1_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@32dfc0org.highwire.dtl.DTLVardef@1ffe89dorg.highwire.dtl.DTLVardef@d9feorg.highwire.dtl.DTLVardef@1e7bae7_HPS_FORMAT_FIGEXP M_FIG C_FIG A schematic representation on the protective effectiveness, immunogenicity, and proliferation of the zeta over-expressor in response to Leishmania challenge in vitro and in vivo model.

pathology↗

DeepGraphMut: A graph-based deep learning methodfor cancer prognosis using somatic mutation profile

Cancer remains a leading cause of morbidity and mortality worldwide. Despite advances in genomics, identifying clinically relevant subtypes of cancer remains challenging due to its complex and heterogeneous nature. In this work, we propose DeepGraphMut (DGM), a novel graph-based deep-learning pipeline that integrates somatic mutation data with protein-protein interaction (PPI) networks. By employing a graph autoencoder with a graph attention layer and a node-level attention decoder, DGM generates patient-specific clinically relevant encodings for unsupervised and supervised tasks. We demonstrate the effectiveness of DGM across 16 cancer types comprising of 7352 samples from The Cancer Genome Atlas (TCGA). Unsupervised clustering reveals distinct subtypes with significant survival differences in 11 cancer types. In supervised analysis using a Cox regression model, DGM demonstrates excellent performance in predicting survival outcomes, achieving a high concordance index (c-index) value in the range of 0.7 across most cancers, underscoring its robust predictive performance using only somatic mutation data. Furthermore, DGM outperforms its lightweight variant and the network-based stratification method in both unsupervised and supervised analyses. In summary, this study presents a promising approach for cancer subtype identification and prognosis, especially in resource-limited settings where multi-omics data may not be readily available. By leveraging the strengths of graph learning and network biology, DGM offers a valuable tool for advancing personalized medicine.

systems biology↗

Unambiguous assignment of kinked beta sheets leads to insights into molecular grammar of reversibility in biomolecular condensates

Kinked-{beta} sheets are short peptide motifs that appear as distortions in {beta}-strands and often mediate formation of reversible amyloid fibrils in prion-like proteins. Standard methods for assigning secondary structures cannot distinguish these esoteric motifs. Here, we provide a supervised machine learning based structural quantification map to unambiguously characterize Kinked-{beta} sheets from coordinate data. We find that these motifs, although deviating from standard {beta}-strand region of the Ramachandran plot, scatter around the allowed regions. We also demonstrate the applicability of our technique in wresting out LARKS, which are kinked {beta}-strands with designated sequence. Additionally, from our exhaustive simulation generated conformations, we create a repository of potential kinked peptide-segments that can be used as a screening-library for assigning beta-kinks in unresolved coordinate dataset. Overall, our map for Kinked-{beta} provides a robust framework for detailed structural and kinetics investigation of these important motifs in prion-like proteins that lead to formation of amyloid fibrils.

biophysics↗

Structural Insights into Competitive Binding Dynamics between RALF23/33 and PCP-B in Brassicaceae Pollination

Ensuring successful fertilization, viable offspring production, genetic isolation, and maintaining species integrity is pivotal for the survival of flowering plants. Members of Brassicaceae employ a "gatekeeping mechanism" involving interaction between stigmatic membrane-bound Catharanthus roseus receptor-like kinase 1-like (CrRLK1L) receptor, FERONIA, GPI anchored protein LLG2 (LORELEI-LIKE GLYCOPHOSPHATIDYLINOSITOL-ANCHORED PROTEIN 2) and autocrine secreted RALF23/33 (Rapid alkalinization factor) peptide. This binding establishes a barrier for pollen hydration by inducing ROS (Reactive Oxygen Species). Conversely, in the presence of compatible pollen, paracrine-secreted cysteine-rich peptides such as PCP-B{gamma} compete with RALF23/33 for binding to the FERONIA-LLG2 complex, thus reducing ROS levels, ensuring successful pollen hydration and germination. Despite its crucial role, the structural basis of this competitive binding dynamics remains elusive owing to the lack of structural data and the inherent flexibility of these peptides. Using structural modeling, molecular docking, and simulations, this study reveals that PCP-B{gamma} binds to the same negatively charged pocket in the FERONIA-LLG2 complex as RALF23, displacing and interrupting the heterodimerized structure, thus reducing ROS levels to promote pollination. Our study unveils the experimental data-based predicted models, competitive binding dynamics, and mechanism behind this "gatekeeping mechanism," shedding light on the molecular mechanism underlying this pollen hydration barrier in Brassicaceae.

plant biology↗

Identification of genetic variation in genes linked to buparvaquone resistance in Theileria sp infecting dairy cattle in India.

Buparvaquone (BQO) is used for treatment of bovine theileriosis, a tickborne disease caused by parasites of the Theileria genus. Studies on T. annulata have linked the mechanism of BQO resistance predominantly to genetic variations in the parasite cytochrome b (cytb) gene. In addition, cryptic mechanisms of resistance involving the parasite peptidyl-prolyl isomerase (pin1) and dihydroorotate dehydrogenase (dhodh) genes require assessment. In India, where bovine theileriosis is endemic, and BQO is widely used for treatment, monitoring and establishing the link between genetic variations in cytb, dhodh and pin1 genes and BQO resistance is essential. In this study, multiplexed PCR amplification and nanopore sequencing approaches were used for genotyping the complete gene loci of the target genes. Analysis of 420 T. annulata field samples collected from seven different states of India revealed the presence of previously reported variations S129G, A146T and P253S in cytb and A53P in pin1, which are linked to BQO resistance. The role of A146T, a highly prevalent variation which mostly co-occurred with I203V, in BQO resistance needs to be evaluated. From 60 samples having T. orientalis infection, the genetic variations identified from the three genes were found to be mostly natural variations based on the reference genotypes and were distinct from T. annulata variations. This study has revealed the presence of BQO resistance-linked cytb gene mutations in T. annulata infecting dairy cattle in India and establishes a nanopore sequencing method for molecular surveillance of genetic variation in field samples. Author SummaryBuparvaquone (BQO) is the most effective drug that is available for the treatment of cattle theileriosis caused by parasites of the Theileria genus. However, treatment failure due to drug resistance is reported, and gene mutations linked to BQO resistance have been reported in African and Middle Eastern countries. These mutations occur in the cytochrome b (cytb) and peptidyl-prolyl isomerase (pin1) genes in the parasite. In this study, genetic variations occurring in these two genes and the parasite dihydroorotate dehydrogenase (dhodh) gene have been mapped using PCR amplification and Nanopore sequencing from field samples collected from seven different states of India. At least three previously reported mutations linked to BQO resistance were found in the T. annulata cytb gene sequence obtained from field samples. While one of these mutations (A146T) was highly prevalent, the other two were found to occur in only a few samples. Similarly, the BQO resistance linked to A53P mutation in the T. annulata pin1 gene was present in only a few samples. Despite their low frequency, the presence of these mutations reveals the existence of BQO resistance due to genetic variations in the parasite population present in India. This is the first comprehensive report of BQO resistance-conferring mutations occurring in Theileria parasites affecting dairy cattle in India and establishes a scalable method for large-scale molecular surveillance studies.

genomics↗

Recommendations for Bioinformatics in Clinical Practice

Next Generation Sequencing (NGS) is increasingly used in clinical diagnostics, largely driven by the success and robustness of Whole Genome Sequencing (WGS). Whereas updated guidelines exist for how to interpret and report on variants that are identified from NGS using bioinformatics pipelines, there is a need for standardised bioinformatics practices for diagnostics to ensure clinical consensus, accuracy, reproducibility and comparability of the results. This article presents consensus recommendations developed by 13 clinical bioinformatics units taking part in the Nordic Alliance for Clinical Genomics (NACG), by expert bioinformaticians working in clinical production. The recommendations are based on clinical practice and focus on analysis types, test and validation, standardisation and accreditation, as well as core competencies and technical management required for clinical bioinformatics operations. Key recommendations include adopting the hg38 genome build as the reference and a standard set of recommended analyses, including the use of multiple tools for structural variant (SV) calling and in-house data sets for filtering recurrent calls. Clinical bioinformatics production should operate under the ISO 15189 standard, utilising off-grid clinical-grade high-performance computing systems, standardised file formats, and strict code version control. Containerized software containers or environment management systems are needed to ensure reproducibility. Pipelines should be rigorously documented and tested for accuracy and reproducibility, minimally covering unit, integration, and end-to-end testing. Standard truth sets such as GIAB and SEQC2 for germline and somatic variant calling, respectively, should be supplemented by recall testing of previously validated clinical cases. Data integrity must be verified using file hashing, and sample identity should be checked via sample fingerprinting and genetically inferred identification markers such as sex and relatedness. Finally, clinical bioinformatics teams should encompass diverse skills, including software development, data management, quality assurance, and domain expertise in human genetics. These recommendations provide a consensus framework for standardising bioinformatics practices across clinical WGS applications and can serve as a practical guide to facilities that are new to large-scale sequencing-based diagnostics, or as a reference for those who already run high-volume clinical production using NGS.

bioinformatics↗

Signatures of glassy dynamics in highly ordered lipid bilayers with emergence of soft dynamic channels

Over the last few decades, extensive investigations on spatial and dynamic heterogeneity have been performed on carefully reconstituted biological lipid membranes. Characterising the molecular features in heterogeneous membranes is extremely challenging due to experimentally inaccessible time- and length-scales of these emergent systems. In this context, simulations can provide important insights into molecular-level interactions leading to membrane heterogeneity and associated functions. To that end, we use the non-affine displacement (NAD) framework (a concept borrowed from Physics of granular material) to faithfully capture molecular-scale local membrane order in simulated heterogeneous bilayers. In our latest application of NAD, we investigate the temperature-dependent spatial and temporal organisation on microseconds trajectories of liquid-ordered bilayer systems at all-atom resolution (DPPC/DOPC/CHOL: 0.55:0.15:0.30; 40 nm x 40 nm with a total of 5600 lipids and 2 million atoms). Lateral organisation in these large bilayer patches show noticeable dynamic heterogeneity despite their liquid-ordered nature. Moreover, our NAD analyses reveal soft fluid channels within the tightly packed membrane reminiscent of the classical two-component Kob-Andersen glass-forming binary mixture. Hence, we characterised these systems using classical glass physics markers for dynamic heterogeneities such as Overlap, Four-point Susceptibility, van Hove, and Intermediate Scattering functions to quantify the multiple time scales underlying the lipid dynamics. Our analyses reveal that highly ordered membrane systems can have glass-like dynamics with distinct soft fluid channels inside them. Biologically, these dynamic channels could act as conduits for facilitating molecular encounters for biological functions even in highly ordered phases such as lipid nanodomains and rafts. SignificanceLiquid-ordered lipid membrane offers a reliable representation of the cholesterolrich outer leaflet of the plasma membrane. We show that dynamic heterogeneity is present even in highly ordered phases of lipid membrane, which arise at equilibrium merely from thermal fluctuations. Membranes in this state act as strong glass formers, and are hence less susceptible to temperature fluctuations. The dynamics is faster than actin or proteinmediated reorganisation and presence of passive but dynamic "soft channels" amidst the highly ordered lipid environment suggests a new exciting possibility that these channels could act as fast conduits for molecular encounters on the robust membrane surface.

biophysics↗

Inhibition of serine and arginine-rich splicing factor 3 induces epidermal differentiation and decreases cutaneous squamous cell carcinoma risk

Serine/Arginine-rich splicing factor 3 (SRSF3) is one of 12 SRSFs that regulate gene expression via alternative splicing. SRSF3 is upregulated in cutaneous squamous cell carcinoma (cSCC) and several squamous cancer cell lines in relation to normal keratinocytes. We suppressed SRSF3 with a specific inhibitor, SFI003, and observed an increase in epidermal differentiation. Our data suggests that in cSCC, SRSF3 overexpression suppresses cellular differentiation to enable cancer progression. In a clinical setting, patients taking known SRSF3 inhibitors digoxin and amiodarone exhibited higher cSCC-free survival compared to a propensity score-matched cohort treated with beta blockers. Thus, SRSF3 upregulation may be a novel therapeutic target in cSCC that can improve patient prognoses.

cancer biology↗

An in vitro platform for the enzymatic characterization of the rhomboid protease RHBDL4

Rhomboid proteases are ubiquitous intramembrane serine proteases that can cleave transmembrane substrates within lipid bilayers. They exhibit many and diverse functions, such as but not limited to, growth factor signaling, immune and inflammatory response, protein quality control, and parasitic invasion. Human rhomboid protease RHBDL4 has been demonstrated to play a critical role in removing misfolded proteins from the Endoplasmic Reticulum and is implicated in severe diseases such as various cancers and Alzheimers disease. Therefore, RHBDL4 is expected to constitute an important therapeutic target for such devastating diseases. Despite its critical role in many biological processes, the enzymatic properties of RHBDL4 remain largely unknown. To enable a comprehensive characterization of RHBDL4s kinetics, catalytic parameters, substrate specificity, and binding modality we expressed and purified recombinant RHBDL4, and employed it in a Forster Resonance Energy Transfer-based cleavage assay. Until now, kinetic studies have been limited mostly to bacterial rhomboid proteases. Our in vitro platform offers a new method for studying RHBDL4s enzymatic function and substrate preferences. Furthermore, we developed and tested potential inhibitors using our assay and successfully identified peptidyl -ketoamide inhibitors of RHBDL4 that are highly effective against recombinant RHBDL4. We utilize ensemble docking and molecular dynamics (MD) simulations to explore the binding modality of substrate-derived peptides bound to RHBDL4. Our analysis focused on key interactions and dynamic movements within RHBDL4s active site that contributed to binding stability, offering valuable insights for optimizing the non-prime side of RHBDL4 ketoamide inhibitors. In summary, our study offers fundamental insights into RHBDL4s catalytic activities and substrate preferences, laying the foundation for downstream applications such as drug inhibitor screenings and structure-function studies, which will enable the identification of lead drug compounds for RHBDL4.

biochemistry↗

Targetable Treatment Resistance in Thyroid Cancer with Clonal Hematopoiesis

Anaplastic thyroid cancer (ATC) is a clinically aggressive malignancy with a dismal prognosis. Combined BRAF/MEK inhibition offers significant therapeutic benefit in patients with BRAFV600E-mutant ATCs. However, relapses are common and overall survival remains poor. Compared with differentiated thyroid cancer, a hallmark of ATCs is significant infiltration with myeloid cells, particularly macrophages. ATCs are most common in the aging population, which also has an increased incidence of TET2-mutant clonal hematopoiesis (CH). CH-mutant macrophages have been shown to accelerate CH-associated pathophysiology including atherosclerosis. However, the clinical and mechanistic contribution of CH-mutant clones to solid tumour biology, prognosis and therapeutic response has not been elucidated. Here we show that TET2-mutant CH is enriched in the tumour microenvironment of patients with solid tumours and associated with adverse prognosis in ATC patients. We find that Tet2-mutant macrophages selectively infiltrate mouse BrafV600E-mutant ATC and that their overexpression of Tgf{beta}-family ligands mediates resistance to BRAF/MEK inhibition. Importantly, inhibition of Tgf{beta} signaling restores sensitivity to MAPK pathway inhibition, opening a path for synergistic strategies to improve outcomes of patients with ATCs and concurrent CH.

cancer biology↗

Transcripts with high distal heritability mediate genetic effects on complex metabolic traits

Although many genes are subject to local regulation, recent evidence suggests that complex distal regulation may be more important in mediating phenotypic variability. To assess the role of distal gene regulation in complex traits, we combined multi-tissue transcriptomes with physiological outcomes to model diet-induced obesity and metabolic disease in a population of Diversity Outbred mice. Using a novel high-dimensional mediation analysis, we identified a composite transcriptome signature that summarized genetic effects on gene expression and explained 30% of the variation across all metabolic traits. The signature was heritable, interpretable in biological terms, and predicted obesity status from gene expression in an independently derived mouse cohort and multiple human studies. Transcripts contributing most strongly to this composite mediator frequently had complex, distal regulation distributed throughout the genome. These results suggest that trait-relevant variation in transcription is largely distally regulated, but is nonetheless identifiable, interpretable, and translatable across species.

genetics↗

A Single-Cell Network Approach to Decode Metabolic Regulation in Gynecologic and Breast Cancers

Cancer metabolism is characterized by significant heterogeneity, presenting challenges for treatment efficacy and patient outcomes. Understanding this heterogeneity and its regulatory mechanisms at single-cell resolution is crucial for developing personalized therapeutic strategies. In this study, we employed a single-cell network approach to characterize malignant heterogeneity in gynecologic and breast cancers, focusing on the transcriptional regulatory mechanisms driving metabolic alterations. By leveraging single-cell RNA sequencing (scRNA-seq) data, we assessed the metabolic pathway activities and inferred cancer-specific protein-protein interactomes (PPI) and gene regulatory networks (GRNs). We explored the crosstalk between these networks to identify key alterations in metabolic regulation. Clustering cells by metabolic pathways revealed tumor heterogeneity across cancers, highlighting variations in oxidative phosphorylation, glycolysis, cholesterol, fatty acid, hormone, amino acid, and redox metabolism. Our analysis identified metabolic modules associated with these pathways, along with their key transcriptional regulators. Notably, transcription factors related to ER stress, immune response, and cell proliferation, along with hypoxia-inducible factor and sterol regulatory element-binding proteins were found to drive metabolic reprogramming. These findings provide new insights into the complex interplay between metabolic rewiring and transcriptional regulation in gynecologic and breast cancers, offering potential avenues for targeted therapeutic strategies in precision oncology. Furthermore, this pipeline for dissecting coregulatory metabolic networks can be broadly applied to decipher metabolic regulation in any disease at single-cell resolution.

systems biology↗

BCL2L13 Influences Autophagy and Ceramide Metabolism without Affecting Temozolomide Resistance in Glioblastoma

Temozolomide (TMZ) resistance in glioblastoma (GBM) arises through metabolic rewiring that links mitochondrial function, autophagy balance, and sphingolipid metabolism. TMZ resistant (R) U251 cells exhibited suppressed apoptosis and complete blockade of autophagy flux, evidenced by LC3II and p62 accumulation and insensitivity to Bafilomycin A1. BCL2L13, strongly upregulated in R cells, emerged as a dual regulator of mitophagy and ceramide metabolism. BCL2L13 knockdown (KD) produced opposite effects in TMZ sensitive (NR) and resistant cells: in NR cells, KD elevated LC3II, reduced respiratory reserve, and triggered compensatory lipid synthesis; in R cells, KD decreased LC3II without restoring flux or TMZ sensitivity. Lipidomic profiling revealed that BCL2L13 loss reactivated CerS6 in NR cells, increasing C16:0 and mid-chain ceramides, while relieving CerS2 inhibition in R cells, elevating very long chain (C22 to C24) and glycosylated ceramides. These distinct sphingolipid signatures were confirmed by PLS-DA and KEGG enrichment, which highlighted steroid hormone, arachidonic, and linoleic acid metabolism in NR KD cells versus neuroactive ligand-receptor and signaling pathways in R KD cells. Together, these findings position BCL2L13 as a molecular integrator of mitochondrial respiration, autophagy flux, and CerS-dependent lipid remodeling, unveiling a context-specific metabolic mechanism that supports GBM cell survival under chemotherapeutic stress.

cancer biology↗

Induction of Ferroptosis by an Amalgam of Extracellular Vesicles and Iron Oxide Nanoparticles Overcomes Cisplatin Resistance in Lung Cancer

Extracellular vesicles (EVs) hold potential as effective carriers for drug delivery, providing a promising approach to resolving challenges in lung cancer treatment. Traditional treatments, such as with the chemotherapy drug cisplatin, encounter resistance in standard cell death pathways like apoptosis, prompting the need to explore alternative approaches. This study investigates the potential of iron oxide nanoparticles (IONP) and EVs to induce ferroptosis--a regulated cell death mechanism--in lung cancer cells. We formulated a novel EV and IONP-based system, namely ExoFeR, and observed that ExoFeR demonstrated efficient ferroptosis induction, evidenced by downregulation of ferroptosis markers (xCT/SLC7A11 and GPX4), increased intracellular and mitochondrial ferrous iron levels, and morphological changes in mitochondria. To enhance efficacy, tumor-targeting transferrin (TF)-conjugated ExoFeR (ExoFeRTF) was developed. ExoFeRTF outperformed ExoFeR, exhibiting higher uptake and cell death in lung cancer cells. Mechanistically, nuclear factor erythroid 2-related factor 2 (Nrf2)--a key regulator of genes involved in glutathione biosynthesis, antioxidant responses, lipid metabolism, and iron metabolism--was found downregulated in the ferroptotic cells. Inhibition of Nrf2 intracellular translocation in ExoFeRTF-treated cells was also observed, emphasizing the role of Nrf2 in modulating ferroptosis-dependent cell death. Furthermore, ExoFeR and ExoFeRTF demonstrated the ability to sensitize chemo-resistant cancer cells, including cisplatin-resistant lung cancer patient-derived tumoroid organoids. In summary, ExoFeRTF presents a promising and multifaceted therapeutic approach for combating lung cancer by intrinsically inducing ferroptosis and sensitizing chemo-resistant cells.

cancer biology↗