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Garcia, C. C.

Publications and source records attributed to Garcia, C. C..

3 recordsLinked to original sources

Beta cells are essential drivers of pancreatic ductal adenocarcinoma development

Pancreatic endocrine-exocrine crosstalk plays a key role in normal physiology and disease. For instance, endocrine islet beta ({beta}) cell secretion of insulin or cholecystokinin (CCK) promotes progression of pancreatic adenocarcinoma (PDAC), an exocrine cell-derived tumor. However, the cellular and molecular mechanisms that govern endocrine-exocrine signaling in tumorigenesis remain incompletely understood. We find that {beta} cell ablation impedes PDAC development in mice, arguing that the endocrine pancreas is critical for exocrine tumorigenesis. Conversely, obesity induces {beta} cell hormone dysregulation, alters CCK-dependent peri-islet exocrine cell transcriptional states, and enhances islet proximal tumor formation. Single-cell RNA-sequencing, in silico latent-space archetypal and trajectory analysis, and genetic lineage tracing in vivo reveal that obesity stimulates postnatal immature {beta} cell expansion and adaptation towards a pro-tumorigenic CCK+ state via JNK/cJun stress-responsive signaling. These results define endocrine-exocrine signaling as a driver of PDAC development and uncover new avenues to target the endocrine pancreas to subvert exocrine tumorigenesis.

cancer biology↗

Macrophages undergo necroptosis during severe influenza A infection and contribute to virus-associated cytokine storm

Influenza A virus (IAV) causes a major public health concern, because it is one of the leading causes of respiratory tract infections and hospitalization. Severe influenza has been associated with the cytokine storm, and IAV productive infection cell death in airway epithelial cells may contribute to the exacerbation of this proinflammatory event. On the other hand, IAV replication in macrophages is non-permissive and whether this immune cell may contribute to severe influenza physiopathology requires more details. Here, we investigated IAV-induced macrophage death, along with potential therapeutic intervention. We found that IAV or simply its surface glycoprotein hemagglutinin (HA) triggers necroptosis in human and murine macrophages in a Toll-like receptor-4 (TLR4) and TNF-dependent manner. Anti-TNF treatment, with the clinically approved drug etanercept, prevented the engagement of the necroptotic loop and mice mortality. impaired IAV-induced pro-inflammatory cytokine storm and lung injury. Our results implicate macrophage necroptosis with severe influenza in experimental models and potentially repurpose a clinically available therapy. Author SummaryVarious fates of cell death have an integral role in the influenza A virus (IAV) pathogenesis and lung/respiratory dysfunction. IAV physiopathology is not restricted to airway epithelial cells, where this virus actively replicated. Macrophages should support both viral clearance and priming of adaptative immune response in patients that adequately control influenza. However, during severe IAV infection, macrophages - which are unable to support a permissive viral replication - undergo disruptive cell death and contribute to the exacerbated production of proinflammatory cytokines/chemokines. We characterized this process by showing that IAV or just its surface glycoprotein hemagglutinin (HA) trigger necroptosis, a disruptive and TNF-dependent cells death. Since TNF is a hallmark of pro-inflammatory cell death, we blocked this mediator with a repurposed biomedicine etanercept, which prevented the severe IAV infection in the experimental model. The present work improves the knowledge of influenza pathophysiology by highlighting the importance of macrophage cell death during severe infection.

immunology↗

SARS-CoV-2 genomes recovered by long amplicon tiling multiplex approach using nanopore sequencing and applicable to other sequencing platforms

Genomic surveillance has become a useful tool for better understanding virus pathogenicity, origin and spread. Obtaining accurately assembled, complete viral genomes directly from clinical samples is still a challenging. Here, we describe three protocols using a unique primer set designed to recover long reads of SARS-CoV-2 directly from total RNA extracted from clinical samples. This protocol is useful, accessible and adaptable to laboratories with varying resources and access to distinct sequencing methods: Nanopore, Illumina and/or Sanger.

molecular biology↗