Single cell sequencing reveals endothelial plasticity with transient mesenchymal activation after myocardial infarction

1 January 2021·
Lukas S. Tombor
,
David John
,
Simone F. Glaser
,
Guillermo Luxán
,
Elvira Forte
,
Milena Furtado
,
Nadia Rosenthal
Nina Baumgarten
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
· 0 min read
DOI
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
publications
Nina Baumgarten
Authors
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!