Biology subjects

Dangaj-Laniti, D.

Publications and source records attributed to Dangaj-Laniti, D..

2 recordsLinked to original sources

bioRxiv2026

An eicosanoid-enriched follicular microenvironment shapes germinal centre immune dynamics in antiretroviral-treated PLWH

Delineating the follicular (F) cellular and molecular landscape in HIV infection is essential for understanding neutralizing antibody responses and HIV reservoir maintenance. Multiplex imaging analysis revealed a less differentiated profile for follicular helper CD4 T cells (TFH) and significantly increased follicular CD25lo/hiFoxp3hi T cells in lymph nodes (LNs) from antiretroviral treated (cART) compared to viremic (Vir) people living with HIV (PLWH). Spatial transcriptomics identified distinct inflammatory follicular microenvironments in Vir and cART LNs, characterized by interferon and eicosanoid enrichment, respectively. In an independent cohort, scRNA-sequencing analysis of LN-derived cells revealed an enrichment of eicosanoid-related pathways in follicular immune cell types in non-neutralizers compared to neutralizers PLWH. In vitro infection and in situ multimodal investigation of HIV DNA+ cell microenvironments suggested a potential role of PGE2/Eicosanoids in maintaining viral reservoirs in cART LNs. Our data highlight cellular and molecular factors that could regulate both antibody responses and viral reservoir persistence in PLWH.

immunology↗

bioRxiv2025

Computational Inference of Metabolic Programs: A Case Study Analyzing the Effect of BRCA1 Loss

Metabolic reprogramming is a hallmark of cancer, yet how oncogenic drivers shape tumor metabolism across disease progression remains incompletely understood. In this study, we present iMSEA (in silico Metabolic State and Enrichment Analysis), a computational framework that infers flux-based metabolic states from omics profiles. Applying iMSEA to isogenic BRCA1-mutant and BRCA1-wild-type ovarian cancer cells, we identified a shift toward glycolysis, nucleotide biosynthesis, and redox imbalance, coupled with impaired oxidative phosphorylation. These predictions were validated with metabolomics, Seahorse, and SCENITH assays, demonstrating the accuracy of our approach. Extending the analysis to homologous recombination deficient patient tumors at single-cell resolution, we found that BRCA1-deficient cancers display heightened metabolic activity and site-specific adaptations, including altered central carbon fluxes, mitochondrial function, nucleotide biosynthesis, and lipid metabolism. By linking transcriptional programs to functional metabolic states, iMSEA reveals hidden metabolic liabilities in BRCA1-deficient ovarian cancer and provides a broadly applicable strategy for dissecting metabolic heterogeneity and therapeutic vulnerabilities in cancer.

systems biology↗