Biology subjects

Penalva, L. O.

Publications and source records attributed to Penalva, L. O..

7 recordsLinked to original sources

bioRxiv2026

Intrinsically disordered SERBP1 regulates translation through topology-driven G-quadruplex recognition.

Serpine mRNA-binding protein 1 (SERBP1) is an intrinsically disordered RNA-binding protein that regulates translation and ribosome biogenesis through interactions with ribosomes and other molecular complexes. Despite its regulatory importance and implication in cancer development, the molecular basis of SERBP1 RNA recognition remains poorly understood. Here, we characterize the G-quadruplex (G4)-binding properties of SERBP1. Using NMR spectroscopy and biophysical assays, we show that SERBP1 binds parallel G4s, both RNA and DNA, with low micromolar affinity through a conserved mechanism. Molecular dynamics and docking simulations reveal an encircling mechanism in which the RGG box wraps around the G4 while downstream C-terminal serine residues stabilize the complex through hydrogen bonding. Phosphomimetic mutations of key serines disrupt this stabilization and reduce binding affinity, identifying phosphorylation as a regulatory switch for SERBP1 activity. Recognition is driven by G4 topology rather than nucleotide sequence, establishing SERBP1 as a broad-specificity G4-binding protein. We further demonstrate that SERBP1 regulates mTOR expression in glioblastoma cell lines through G4 elements in the mTOR 5 UTR, and that SERBP1 depletion synergizes with mTOR inhibition to reduce cell growth. These results establish SERBP1 as a G4 adaptor protein and represent, to our knowledge, the first detailed characterization of G4 recognition by a fully disordered domain, providing a molecular framework for targeting SERBP1-G4 interactions in cancer. Significance StatementSERBP1 is overexpressed in multiple cancers and regulates key cellular processes, yet how it recognizes its RNA targets has remained unclear. We show that SERBP1 binds G-quadruplex structures through an encircling mechanism in which its RGG box and adjacent C-terminal serine residues lock around the G4 topology, and that phosphorylation of these serines acts as a switch to modulate binding. Recognition is driven by G4 topology rather than nucleotide sequence, positioning SERBP1 as a general G4 adaptor that recruits helicases to resolve these structures and license translation. We demonstrate this principle in glioblastoma, where SERBP1 regulates mTOR expression through direct recognition of G4 elements in the mTOR 5 UTR, and its depletion synergizes with mTOR inhibition. These findings provide the first molecular characterization of G4 recognition by a fully disordered domain and establish a direct link between SERBP1-G4 interactions and cancer-relevant translational regulation.

biophysics↗

bioRxiv2026

MicroRNA combinations function as synergistic network regulators of neuroblastoma differentiation

Differentiation-based therapies represent a promising strategy for the treatment of neuroblastoma; however, single-agent approaches frequently yield incomplete and transient responses due to the robustness of underlying gene regulatory networks. MicroRNAs (miRNAs) are endogenous regulators of gene expression that modulate entire gene programs rather than individual molecular targets, making them attractive candidates for network-level therapeutic intervention. While individual miRNAs have been investigated as therapeutic agents, the potential for synergistic interactions between miRNAs remains largely unexplored. Here, we developed a scalable high-content phenotypic screening platform to identify synergistic miRNA combinations that promote neuronal differentiation and growth arrest in neuroblastoma cells. Using SK-N-BE(2)-C cells and automated quantification of neurite outgrowth and confluence, we screened pairwise combinations of differentiation-associated miRNAs at submaximal doses. Candidate synergistic interactions were identified using the Highest Single Agent framework and subsequently validated by dose-response interaction modeling. We identified a robust synergistic interaction between miR-124-3p and miR-363-3p that exceeded zero-interaction potency expectations by approximately 20.9% and increased maximal differentiation-associated phenotypic response by 73% relative to single-miRNA treatments. Target gene and pathway enrichment analyses revealed that miR-124-3p and miR-363-3p regulate largely distinct but functionally complementary target gene sets. These complementary targets converged on neuronal differentiation and cell cycle control pathways, providing a mechanistic basis for their cooperative activity. Together, these findings establish miRNA combinations as programmable network regulators capable of inducing complex cellular phenotypes with greater efficacy than single agents. This work provides a conceptual and experimental framework for the rational discovery of synergistic miRNA therapeutics and suggests new avenues for differentiation-based treatment strategies in neuroblastoma and other diseases driven by dysregulated regulatory networks.

molecular biology↗

bioRxiv2024

SERBP1 interacts with PARP1 and is present in PARylation-dependent protein complexes regulating splicing, cell division, and ribosome biogenesis

RNA binding proteins (RBPs) containing intrinsically disordered regions (IDRs) are present in diverse molecular complexes where they function as dynamic regulators. Their characteristics promote liquid-liquid phase separation (LLPS) and the formation of membraneless organelles such as stress granules and nucleoli. IDR-RBPs are particularly relevant in the nervous system and their dysfunction is associated with neurodegenerative diseases and brain tumor development. Serpine1 mRNA-binding protein 1 (SERBP1) is a unique member of this group, being mostly disordered and lacking canonical RNA-binding domains. We defined SERBP1s interactome, uncovered novel roles in splicing, cell division and ribosomal biogenesis, and showed its participation in pathological stress granules and Tau aggregates in Alzheimers brains. SERBP1 preferentially interacts with other G-quadruplex (G4) binders, implicated in different stages of gene expression, suggesting that G4 binding is a critical component of SERBP1 function in different settings. Similarly, we identified important associations between SERBP1 and PARP1/polyADP-ribosylation (PARylation). SERBP1 interacts with PARP1 and its associated factors and influences PARylation. Moreover, protein complexes in which SERBP1 participates contain mostly PARylated proteins and PAR binders. Based on these results, we propose a feedback regulatory model in which SERBP1 influences PARP1 function and PARylation, while PARylation modulates SERBP1 functions and participation in regulatory complexes.

genomics↗

bioRxiv2023

Unveiling the role of SRY in male-biased cancers: Insights into the molecular basis of sex disparities in high-grade glioma and melanoma

Sex disparities have been observed in many tumor types affecting non-reproductive organs. Typically, the incidence and mortality rates of such cancers are higher in men. Although differences in lifestyle and environmental exposures are known contributors, knowledge of the molecular mechanisms driving sexual dimorphism in tumor development and therapy response remains limited. To address this question, we comprehensively studied the sex-determining region Y (SRY) gene, a male-specific gene that is critical in development. First, we screened 2,448 samples from 11 cancer types to identify those with a higher incidence in men and increased expression of SRY. In cases of high-grade glioma and melanoma, men with tumors exhibiting high SRY expression had a worse prognosis. Our results suggest that SRY target genes show altered expression when SRY is overexpressed. These gene sets are linked to cell growth, epithelial-mesenchymal transition, inflammation, and repression of tumor suppressor pathways. In summary, we present the first comprehensive investigation of SRY expression and its association with clinical outcomes in men with high-grade glioma and melanoma. Our results shed light on the molecular basis for sex disparities and lay the foundation for investigation of various target genes and novel cancer treatments in men with high-grade glioma and melanoma.

cancer biology↗

bioRxiv2022

The paralogues MAGOH and MAGOHB are oncogenic factors in high-grade gliomas and safeguard the splicing of cell division and cell cycle genes

The exon junction complex (EJC) plays key roles throughout the lifespan of RNA and is particularly relevant in the nervous system. We investigated the roles of two EJC members, the paralogs MAGOH and MAGOHB, with respect to brain tumor development. High MAGOH/MAGOHB expression was observed in 14 tumor types; glioblastoma (GBM) showed the greatest difference compared to normal tissue. Increased MAGOH/MAGOHB expression was associated with poor prognosis in glioma patients, while knockdown of MAGOH/MAGOHB affected different cancer phenotypes. Reduced MAGOH/MAGOHB expression in GBM cells caused alterations in the splicing profile, including re-splicing and skipping of multiple exons. The binding profiles of EJC proteins indicated that exons affected by MAGOH/MAGOHB knockdown accumulated fewer complexes on average, providing a possible explanation for their sensitivity to MAGOH/MAGOHB knockdown. Transcripts (genes) showing alterations in the splicing profile are mainly implicated in cell division, cell cycle, splicing, and translation. We propose that high MAGOH/MAGOHB levels are required to safeguard the splicing of genes in high demand in scenarios requiring increased cell proliferation (brain development and GBM growth), ensuring efficient cell division, cell cycle regulation, and gene expression (splicing and translation). Since differentiated neuronal cells do not require increased MAGOH/MAGOHB expression, targeting these paralogs is a potential option for treating GBM.

cancer biology↗

bioRxiv2020

Altered lipid metabolism marks glioblastoma stem and non-stem cells in separate tumor niches

BackgroundGlioblastoma (GBM) is marked by cellular heterogeneity, including metabolic heterogeneity, that varies among cellular microenvironments in the same tumor. Altered cellular metabolism in cancer is well-established, but how lipid metabolism is altered to suit different microenvironmental conditions and cellular states within a tumor remains unexplored. MethodsWe assessed GBM organoid models that mimic the transition zone between nutrient-rich and nutrient-poor pseudopalisading/perinecrotic tumor zones and performed spatial RNA-sequencing of cells to interrogate lipid metabolism. Using targeted lipidomic analysis, we assessed differences in acutely enriched cancer stem cells (CSCs) and non-CSCs from multiple patient-derived models to explore the link between the stem cell state and lipid metabolism. ResultsSpatial analysis revealed a striking difference in lipid content between microenvironments, with lipid enrichment in the hypoxic organoid cores and the perinecrotic and pseudopalisading regions of primary patient tumors. This was accompanied by regionally restricted upregulation of hypoxia-inducible lipid droplet-associated (HILPDA) gene expression in organoid cores and in clinical GBM specimens, but not lower-grade brain tumors, that was specifically localized to pseudopalisading regions of patient tumors. CSCs have low lipid droplet accumulation compared to non-CSCs in organoid models and xenograft tumors, and prospectively sorted lipid-low GBM cells are functionally enriched for stem cell activity. Targeted lipidomic analysis revealed that CSCs had decreased levels of major classes of neutral lipids compared to non-CSCs but had significantly increased polyunsaturated fatty acid production due to high fatty acid desaturase (FADS1/2) expression. ConclusionsOur data demonstrate that lipid metabolism is differentially altered across GBM microenvironments and cellular hierarchies, providing guidance for targeting of these altered lipid metabolic pathways. Key pointsO_LIGBM cells in nutrient-poor tumor regions have increased accumulation of lipid droplets. C_LIO_LICSCs have reduced lipid content compared to non-CSCs. C_LIO_LIGBM CSCs and non-CSCs have disparate lipid metabolisms that may be uniquely targetable. C_LI Importance of the StudyMetabolic targeting has long been advocated as a therapy against many tumors including GBM, and it remains an outstanding question whether cancer stem cells (CSCs) have altered lipid metabolism. We demonstrated striking differences in lipid metabolism between diverse cell populations from the same patient. These spatially and phenotypically distinct lipid phenotypes occur clinically in the majority of patients and can be recapitulated in laboratory models. Lipidomic analysis of multiple patient-derived models shows a significant shift in lipid metabolism between GBM CSCs and non-CSCs, suggesting that lipid levels may not be simply a product of the microenvironment but also may be a reflection of cellular state. Our results suggest that therapeutic targeting of GBM lipid metabolism must consider multiple separate tumor cell populations to be effective, and we provide a methodologic framework for studying these metabolically diverse cellular populations.

cancer biology↗

bioRxiv2019

Integrated analyses of early responses to radiation in glioblastoma identify new alterations in RNA processing and candidate target genes to improve treatment outcomes

BackgroundHigh-dose radiation is the main component of glioblastoma therapy. Unfortunately, radio-resistance is a common problem and a major contributor to tumor relapse. Understanding the molecular mechanisms driving response to radiation is critical for identifying regulatory routes that could be targeted to improve treatment response. MethodsWe conducted an integrated analysis in the U251 and U343 glioblastoma cell lines to map early alterations in the expression of genes at three levels: transcription, splicing, and translation in response to ionizing radiation. ResultsChanges at the transcriptional level were the most prevalent response. Downregulated genes are strongly associated with cell cycle and DNA replication and linked to a coordinated module of expression. Alterations in this group are likely driven by decreased expression of the transcription factor FOXM1 and members of the E2F family. Genes involved in RNA regulatory mechanisms were affected at the mRNA, splicing, and translation levels, highlighting their importance in radiation-response. We identified a number of oncogenic factors, with an increased expression upon radiation exposure, including BCL6, RRM2B, IDO1, FTH1, APIP, and LRIG2 and lncRNAs NEAT1 and FTX. Several of these targets have been previously implicated in radio-resistance. Therefore, antagonizing their effects post-radiation could increase therapeutic efficacy. ConclusionsOur integrated analysis provides a comprehensive view of early response to radiation in glioblastoma. We identify new biological processes involved in altered expression of various oncogenic factors and suggest new target options to increase radiation sensitivity and prevent relapse.

cancer biology↗