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Barbe-Tuana, F. M.

Publications and source records attributed to Barbe-Tuana, F. M..

2 recordsLinked to original sources

Transcriptional profiling reveals a previously unknown population of Cdkn2a-positive tumor-associated macrophages in aggressive brain cancer

Microglia, the resident immune cells of the Central Nervous System (CNS), play crucial roles in homeostasis, immune responses, and the modulation of neuronal functions. In brain tumors, microglia are difficult to distinguish from infiltrating macrophages and are collectively called Tumor-Associated Macrophages (TAMs). While these cells exhibit plasticity, support tumor growth, and suppress antitumor immune responses, their identity and function remain largely unknown. Cellular senescence, a state of growth arrest associated with the upregulation of the cell cycle inhibitor p16INK4A (Cdkn2a), can both suppress and promote tumor progression via the secretion of inflammatory and tissue remodeling factors, collectively known as Senescence-Associated Secretory Phenotype (SASP). By leveraging existing single-cell RNA sequencing (scRNA-seq) data of murine brain tumors, we identified a population of Cdkn2a-positive TAMs involved in immune regulation and neurogenesis, characterized by high expression of Emb and Cd93, which we named MECC (Microglia-like, and Emb-, CD93- and Cdkn2a-positive) cells. In humans, these cells were more prevalent in recurrent glioblastoma and associated with poorer prognosis. Comparative analysis of brain samples from patients with neurodegeneration and healthy older individuals revealed the specificity of MECCs for brain tumors. These findings suggest that MECCs are a unique and distinct cell population associated with aggressive brain tumors, which could potentially serve as targets for novel treatments.

cancer biology↗

PseudoCell: A collaborative network for in silico prediction of regulatory pathways

Premature cellular senescence is a pivotal process in aging and age-related diseases, triggered by various stressors. However, this is not a homogeneous phenotype, but a heterogeneous cellular state composed of multiple senescence programs with different compositions. Therefore, understanding the complex dynamics of senescence programs requires a systemic approach. We introduce PseudoCell, a multi-valued logical regulatory network designed to explore the molecular intricacies of premature senescence. PseudoCell integrates key senescence signaling pathways and molecular mechanisms, offering a versatile platform for investigating diverse premature senescence programs initiated by different stimuli. Validation through simulation of classical senescence programs, including oxidative stress-induced senescence (OSIS) and oncogene-induced senescence (OIS), demonstrates its ability to replicate molecular signatures consistent with empirical data. Additionally, we explore the role of CCL11, a novel senescence-associated molecule, through simulations that reveal potential pathways and mechanisms underlying CCL11-mediated senescence induction. In conclusion, PseudoCell provides a systematic approach to dissecting premature senescence programs and uncovering novel regulatory mechanisms.

bioinformatics↗