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Tockovska, T.

Publications and source records attributed to Tockovska, T..

2 recordsLinked to original sources

Spatially resolved transcriptomics identifies intercellular signaling post-ischemic stroke that controls neural stem cell proliferation

Stroke is the second leading cause of death and disability worldwide. Ischemic stroke mobilizes adult neural stem cells (NSCs) out of the quiescent state. The multifaceted responses of endogenous NSCs to ischemic stroke involve proliferation, migration, and differentiation. Hence one strategy which could be leveraged for recovery after ischemic stroke is the intrinsic mechanism of endogenous NSC mobilization. However, the survival rate of recruited endogenous NSCs is low. Moreover, the intercellular signals that activate NSCs after ischemic stroke are poorly understood. We hypothesized that after stroke, cells located in the cerebral lesion send signals to the NSC niche to initiate the regenerative response. To test this hypothesis, we used CellChat to computationally infer the cell-cell communication between the ischemic infarct region and ventricular-subventricular zone (V-SVZ) NSC niche from spatial gene expression profiles. We identified ligand-receptor pairs and signaling pathways involved in the signal transduction events at 2, 10, and 21 days after stroke. Out of several candidate genes of interest we identified, here we reported the regulatory function of galectin-9 on the proliferation of NSCs. Our present work portrays galectin-9 as a checkpoint signaling molecule that guards the responses of NSCs under physiological conditions and potentially during the recovery phase post-ischemic stroke. We suggest that TIM-3 mediates the inhibitory effect of galectin-9 on NSC proliferation and propose a working hypothesis that the stroke-induced proinflammatory factors stimulate the Toll-like receptor 4 (TLR4) on ependymal cells and result in the increased secretion of galectin-9, which in turn modulates neighboring NSCs. Our study paves the way for potential therapeutic approaches which leverage the TLR4 and galectin-9/TIM3 signaling pathways.

neuroscience↗

Cell and Transcriptomic Diversity of Infrapatellar Fat Pad during Knee Osteoarthritis

ObjectivesIn this study, we employ a multi-omic approach to identify major cell types and subsets, and their transcriptomic profiles within the infrapatellar fat pad (IFP), and to determine differences in the IFP based on knee osteoarthritis (KOA), sex, and obesity status. MethodsSingle-nucleus RNA sequencing of 82,924 nuclei from 21 IFPs (n=6 healthy control and n=15 KOA donors), spatial transcriptomics and bioinformatic analysis were used to identify contributions of the IFP to KOA. We mapped cell subclusters from other white adipose tissues using publicly available literature. The diversity of fibroblasts within the IFP was investigated by bioinformatic analyses, comparing by KOA, sex, and obesity status. Metabolomics was used to further explore differences in fibroblasts by obesity status. ResultsWe identified multiple subclusters of fibroblasts, macrophages, adipocytes, and endothelial cells with unique transcriptomic profiles. Using spatial transcriptomics, we resolved distributions of cell types and their transcriptomic profiles, and computationally identified putative cell-cell communication networks. Furthermore, we identified transcriptomic differences in fibroblasts from KOA versus healthy control donor IFPs, female versus male KOA-IFPs, and obese versus normal body mass index (BMI) KOA-IFPs. Finally, using metabolomics, we defined differences in metabolite levels in supernatants of naive, profibrotic- and proinflammatory stimuli-treated fibroblasts from obese compared to normal BMI KOA-IFP. ConclusionsOverall, by employing a multi-omic approach, this study provides the first comprehensive map of cellular and transcriptomic diversity of human IFP and identifies IFP fibroblasts as a key cell type contributing to transcriptomic and metabolic differences related to KOA disease, sex, or obesity.

cell biology↗