Single cell sequencing reveals endothelial plasticity with transient mesenchymal activation after myocardial infarction
1 January 2021·,,,,,,
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0 min read
Lukas S. Tombor
David John
Simone F. Glaser
Guillermo Luxán
Elvira Forte
Milena Furtado
Nadia Rosenthal
Nina Baumgarten
Marcel H. Schulz
Janina Wittig
Eva-Maria Rogg
Yosif Manavski
Ariane Fischer
Marion Muhly-Reinholz
Kathrin Klee
Mario Looso
Carmen Selignow
Till Acker
Sofia-Iris Bibli
Ingrid Fleming
Ralph Patrick
Richard P. Harvey
Wesley T. Abplanalp
Stefanie Dimmeler
Abstract
Endothelial cells play a critical role in the adaptation of tissues to injury. Tissue ischemia induced by infarction leads to profound changes in endothelial cell functions and can induce transition to a mesenchymal state. Here we explore the kinetics and individual cellular responses of endothelial cells after myocardial infarction by using single cell RNA sequencing. This study demonstrates a time dependent switch in endothelial cell proliferation and inflammation associated with transient changes in metabolic gene signatures. Trajectory analysis reveals that the majority of endothelial cells 3 to 7 days after myocardial infarction acquire a transient state, characterized by mesenchymal gene expression, which returns to baseline 14 days after injury. Lineage tracing, using the Cdh5-CreERT2;mT/mG mice followed by single cell RNA sequencing, confirms the transient mesenchymal transition and reveals additional hypoxic and inflammatory signatures of endothelial cells during early and late states after injury. These data suggest that endothelial cells undergo a transient mes-enchymal activation concomitant with a metabolic adaptation within the first days after myocardial infarction but do not acquire a long-term mesenchymal fate. This mesenchymal activation may facilitate endothelial cell migration and clonal expansion to regenerate the vascular network.
Type
Publication
Nature Communications

Authors
Nina Baumgarten
(she/her)
Postdoc
I am a bioinformatician with a diverse background in analyzing genetic and epigenetic data. I have had the chance to work on a variety of projects since I joined the lab, like decoding the effect of non-coding variations, analysing GWAS data, and studying TF binding. Recently, my focus has been shifted toward spatial transcriptomics, which allows me to map genetic findings directly onto tissue architecture. I am motivated by the possibility that these data-driven insights might lead to a better understanding of complex diseases. In my free time, I love spending time in nature for hiking—it’s where the best ideas come to me!