转录组
医学
心脏移植
移植
主要组织相容性复合体
免疫系统
星团(航天器)
基因表达
免疫学
基因
内科学
生物
遗传学
计算机科学
程序设计语言
作者
Olli Ainasoja,Maria Hurskainen,Bishwa Ghimire,Jenni Lahtela,S. Syrjälä,Karl Lemström
标识
DOI:10.1016/j.healun.2022.01.746
摘要
Purpose Heart transplantation (HTx) is sometimes the only treatment for end-stage cardiac disease, but survival after HTx is limited. Understanding the molecular mechanisms behind allograft injury, dysfunction, and failure, are critical in improving the patients' outcome. Rapidly evolving single cell and spatial transcriptomic technologies have opened a new field of precision to diagnostics and therapeutics of cardiovascular diseases. Here we studied the cellular mechanisms of acute rejection in a rat heart transplant model with spatial transcriptomics methods. Methods We investigated the effects of acute rejection in heterotopic rat heart transplantation model with syngeneic (DA-DA) and major MHC-mismatched allogeneic (DA-WF) recipients. The recipient rats were sacrificed 5 days after transplantation, and graft cross-sections were analyzed with the Visium Spatial Gene Expression platform (10xGenomics). Raw sequencing reads were processed using SpaceRanger. All main data analysis steps were performed using Seurat. Clusters were identified based on the expression of several known cell markers. Results From all samples together, a total of 17 clusters of spots were identified. Our analysis suggests that two of the clusters presented mainly cardiomyocytes, one cluster of smooth muscle cells, two clusters of fibroblasts, 11 immune cells and one cluster of erythrocytes. Endothelial cells did not form a unique cluster. Syngeneic HTx alone induced marked transcriptomic changes in 5 clusters based on differential gene expression analysis, mainly increasing the proportion of clusters with certain types of macrophages. Few clusters remained unchanged between the allogenic and the syngeneic groups. Allogenic group had four unique clusters representing mainly different immune cell populations: granulocytes, lymphocytes and a type of macrophages that were not present in other samples. One cluster consisted of erythrocytes from hemorrhagic area. Conclusion Acute rejection changes the cellular composition of the heart muscle dramatically and induces transcriptomic changes in the structural cells of the heart. Our spatial transcriptomic analysis provides novel transcriptomic data on cellular changes occurring following acute rejection. This method allows us to study the cells and mechanisms involved in rejection and look for potential targets for drug development and therapeutics. Heart transplantation (HTx) is sometimes the only treatment for end-stage cardiac disease, but survival after HTx is limited. Understanding the molecular mechanisms behind allograft injury, dysfunction, and failure, are critical in improving the patients' outcome. Rapidly evolving single cell and spatial transcriptomic technologies have opened a new field of precision to diagnostics and therapeutics of cardiovascular diseases. Here we studied the cellular mechanisms of acute rejection in a rat heart transplant model with spatial transcriptomics methods. We investigated the effects of acute rejection in heterotopic rat heart transplantation model with syngeneic (DA-DA) and major MHC-mismatched allogeneic (DA-WF) recipients. The recipient rats were sacrificed 5 days after transplantation, and graft cross-sections were analyzed with the Visium Spatial Gene Expression platform (10xGenomics). Raw sequencing reads were processed using SpaceRanger. All main data analysis steps were performed using Seurat. Clusters were identified based on the expression of several known cell markers. From all samples together, a total of 17 clusters of spots were identified. Our analysis suggests that two of the clusters presented mainly cardiomyocytes, one cluster of smooth muscle cells, two clusters of fibroblasts, 11 immune cells and one cluster of erythrocytes. Endothelial cells did not form a unique cluster. Syngeneic HTx alone induced marked transcriptomic changes in 5 clusters based on differential gene expression analysis, mainly increasing the proportion of clusters with certain types of macrophages. Few clusters remained unchanged between the allogenic and the syngeneic groups. Allogenic group had four unique clusters representing mainly different immune cell populations: granulocytes, lymphocytes and a type of macrophages that were not present in other samples. One cluster consisted of erythrocytes from hemorrhagic area. Acute rejection changes the cellular composition of the heart muscle dramatically and induces transcriptomic changes in the structural cells of the heart. Our spatial transcriptomic analysis provides novel transcriptomic data on cellular changes occurring following acute rejection. This method allows us to study the cells and mechanisms involved in rejection and look for potential targets for drug development and therapeutics.
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