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Biology subjects

Springe, M. L.

Publications and source records attributed to Springe, M. L..

2 recordsLinked to original sources

Spatial organization of myofibroblastic and complement-secreting CAFs in neuroendocrine tumors

Neuroendocrine tumors are graded and classified largely by tumor cell-intrinsic features, yet the stromal microenvironment remains poorly defined across anatomical sites. We applied near single-cell spatial transcriptomics augmented with cell segmentation to eight treatment-naive neuroendocrine tumor primary tissues from pancreas, colon, appendix, and bile duct to build a spatially resolved stromal reference. Integration of stromal-enriched cell polygons identified ten transcriptional states shared across tumors, with a minority of niche-restricted clusters mapping to tumor/stroma and stroma/non-tumor boundaries. Within the shared fibroblast compartment, program scoring resolved four cancer-associated fibroblast states. Myofibroblastic and complement-secretory states dominated across samples, whereas inflammatory and antigen-presenting programs were consistently detected but weaker. Spatial mapping in desmoplastic tumors showed myofibroblastic fibroblasts enriched in collagen-dense regions, while complement-secretory fibroblasts localized preferentially to tumor-adjacent stromal interfaces. Pseudobulk differential expression and gene set enrichment analyses supported extracellular matrix remodeling in myofibroblastic fibroblasts and complement cascade activation in complement-secretory fibroblasts. Together, these findings demonstrate that anatomically distinct neuroendocrine tumors share a conserved yet spatially segregated stromal architecture, characterized by dominant matrix-producing and complement-enriched fibroblast states.

molecular biology↗

Unveiling the Immune Landscape of COVID-19 and prolonged Long-COVID through Single-Cell RNA Sequencing

Long-COVID affects at least 10% of COVID-19 survivors, displaying debilitating symptoms across multiple organ systems. Despite the increasing prevalence, the underlying causes remain unclear. This study presents a unique analysis of the PBMC transcriptomic landscape of COVID-19 and Long-COVID patients at a single-cell resolution. We reconstructed the cell state and communication using differentially expressed gene profiling and ligand-receptor interaction analyses. Our results reveal altered T and NK cell subset proportions, diminished proliferating lymphocyte and B cell signalling capacity, and the expression of exhaustion and cytotoxicity associated genes 1.5 - 2 years post-infection, suggesting incomplete immune recovery. Collectively, these findings provide insights into the immune processes underlying the progression of COVID-19 into a chronic Long-COVID state.

immunology↗