Mallona Gonzalez, I. | Search bioRxiv

bioRxiv2025

A scalable human-zebrafish xenotransplantation model reveals gastrosome-mediated processing of dying neurons by human microglia

Microglia engulf dying neurons through efferocytosis, a critical function in both development and disease. How microglia process the engulfed neuronal material--especially lipids--remains poorly understood, despite its central role in neurodegeneration. Thus, we developed HuZIBRA, a scalable in vivo xenotransplantation model in which human iPSC-derived microglia-like cells (iMGLs) are introduced into the developing zebrafish brain (zf-hiMG), a system characterized by high levels of neuronal cell death and amenable to precise genetic and pharmacological manipulation. We show that human microglia-like cells recognize and engulf apoptotic zebrafish neurons, indicating conserved efferocytic mechanisms. In these cells, engulfed neuronal material accumulates into a distinct, lipid-rich intracellular compartment, the gastrosome, which we also observed in iMGLs placed in a human brain-like environment. The size of the human gastrosome dynamically reflects neuronal cell death levels and is regulated by key genes, including TREM2 and SLC37A2. Pharmacological inhibition of the cholesterol transporter NPC1 induces gastrosome expansion and lipid accumulation, recapitulating pathological features of Niemann-Pick disease type C. Thus, HuZIBRA provides a powerful in vivo platform to uncover cell-autonomous adaptive responses of human microglia to apoptotic and metabolic stress, with the gastrosome emerging as a key integrator of neuronal debris processing and disease-relevant lipid metabolism.

cell biology↗

bioRxiv2022

Meta-analysis of (single-cell method) benchmarks reveals the need for extensibility and interoperability

Computational methods represent the lifeblood of modern molecular biology. Benchmarking is important for all methods, but with a focus here on computational methods, benchmarking is critical to dissect important steps of analysis pipelines, formally assess performance across common situations as well as edge cases, and ultimately guide users on what tools to use. Benchmarking can also be important for community building and advancing methods in a principled way. We conducted a meta-analysis of recent single-cell benchmarks to summarize the scope, extensibility, neutrality, as well as technical features and whether best practices in open data and reproducible research were followed. The results highlight that while benchmarks often make code available and are in principle reproducible, they remain difficult to extend, for example, as new methods and new ways to assess methods emerge. In addition, embracing containerization and workflow systems would enhance reusability of intermediate benchmarking results, thus also driving wider adoption.

bioinformatics↗