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Torres-Cano, A.

Publications and source records attributed to Torres-Cano, A..

4 recordsLinked to original sources

Dissection of genotype-phenotype relationships in Candida parapsilosis uncovers drivers of clinically-relevant traits

Hospital outbreaks caused by the fungal pathogen Candida parapsilosis are of growing concern due to their increased drug resistance and high mortality rates. However, the genetic bases of clinically-relevant traits in this species remain poorly explored. Here, we mapped genotype-phenotype relationships across 189 isolates from a multi-hospital Candida parapsilosis outbreak, for which we measured 61 diverse clinical phenotypes and generated complete genome sequences. As variation in previously-known genes explained little of the observed phenotypic diversity, we leveraged convergence genome-wide association studies and interpretable machine-learning models that predict phenotypes from genetic variants. These approaches identified candidate drivers of virulence and antifungal resistance, confirming expected mechanisms while uncovering novel ones. Predictive models were accurate for key traits, including azole resistance and clinical features of infected patients. Our results shed light on the genetic bases of clinically-relevant traits in a major fungal pathogen, and pave the way towards sequence-based diagnostics for improved patient outcomes.

microbiology↗

Mesodermal-niche interactions direct specification and differentiation of pancreatic islet cells in human multilineage organoids

Tissues develop and function within a highly complex microenvironment, where diverse cell types interact in tightly regulated spatial and temporal patterns1,2. Through distinct, relay-like waves of activity, these cells collectively shape tissue formation, ensuring that each component emerges in the right place at the right time1,2. Such coordinated cues establish the structural and biochemical framework that drives cell differentiation and tissue organization. Accurately modelling this process in humans requires the development of complex multicellular systems. Here, we pair spatial transcriptomics of the human foetal pancreas with an induced pluripotent stem cell (iPSC)-based multilineage model that faithfully recapitulate the complex, hierarchical processes underlying human pancreatic islet formation. We show that iPSC-derived pancreatic mesodermal lineages direct endocrine commitment from pancreatic progenitors, by suppressing off-target fates and orchestrating niche-mediated spatio-temporal cues that promote beta-cell differentiation. Our results identify a vascular-rich niche, featuring pancreatic pericytes, which is associated with a neural repulsion program and may contribute to shaping the islet microenvironment. We benchmark our in vitro multilineage organoid system against spatial transcriptomics of the human foetal pancreas. Together, these findings identify the key cellular actors and contact-dependent mechanisms that build the human endocrine pancreas, providing a critical model for studying human islet development and disease.

developmental biology↗

Spatially organized cellular communities shape functional tissue architecture in the pancreas

Organ function depends on the precise spatial organization of cells across multiple scales, from individual cells to cellular communities that form specialized local niches and, ultimately, complex higher-order structures. While the identities of individual cell are increasingly well-defined, our understanding of how these diverse cell types are spatially distributed and communicate remains incomplete. In this study, we combine single-cell and spatial transcriptomic analyses to map pancreatic cell populations across space and time, from embryonic development to adult homeostasis in mice. Using these comprehensive maps, we systematically resolve spatial heterogeneity among pancreatic cell types and uncover basic tissue niches, which emerge as epithelial-mesenchymal units. We further characterize these niches functionally in both mouse and human models. We demonstrate that the mesenchymal lineage initially diversifies into various subtypes with specialized supportive roles during embryonic development. However, this complexity gradually diminishes over time, ultimately converging into a limited number of fibroblast sub-types in adult tissue. Our findings shed light on how different progenitor lineages co-develop and organize into structured communities that establish a mature, functional pancreas. This foundational framework could inform strategies for in vitro organogenesis and tissue-engineering in the context of pancreatic diseases.

developmental biology↗

ΔNP63 defines an exocrine-committed multipotent progenitor subset in the murine pancreas

Cellular plasticity underpins heterogeneity in embryogenic progenitor cells and cancer cells. The transcription factor deltaNp63 ({Delta}Np63) has been implicated in regulating cellular plasticity in several epithelial tissues. Despite a recently established role in steering plasticity of pancreatic cancer, {Delta}Np63 remains unstudied in pancreatic development. Using murine single-cell sequencing data and RNA and protein in situ stainings, we assessed the spatio-temporal expression of Trp63 and {Delta}NP63 in the embryonic pancreas. {Delta}NP63 demonstrates a transient and spatially restricted expression in the multipotent pancreatic progenitor (MPP) compartment delineating pro-exocrine progenitor cells. Lineage tracing of TP63+ cells marks a subset of MPPs and descendant exocrine acinar and centro-acinar/terminal duct cells. Lack of {Delta}NP63 in knock-out mice leads to hypotrophic exocrine acini with reduced levels of differentiation markers. In summary, {Delta}Np63 confers heterogeneity within the MPP compartment, supporting exocrine cell development. These new insights in developmental plasticity have potential implications for pancreatic regeneration and cancer.

developmental biology↗