DOT1L regulates chamber-specific transcriptional networks during cardiogenesis and mediates postnatal cell cycle withdrawal

1 December 2022·
Paola Cattaneo
,
Michael G. B. Hayes
Nina Baumgarten
Nina Baumgarten
Dennis Hecker
Dennis Hecker
,
Sofia Peruzzo
,
Galip S. Aslan
,
Paolo Kunderfranco
,
Veronica Larcher
,
Lunfeng Zhang
,
Riccardo Contu
,
Gregory Fonseca
,
Simone Spinozzi
,
Ju Chen
,
Gianluigi Condorelli
,
Stefanie Dimmeler
,
Marcel H. Schulz
,
Sven Heinz
,
Nuno Guimarães-Camboa
,
Sylvia M. Evans
· 0 min read
DOI
Abstract
Mechanisms by which specific histone modifications regulate distinct gene networks remain little understood. We investigated how H3K79me2, a modification catalyzed by DOT1L and previously considered a general transcriptional activation mark, regulates gene expression during cardiogenesis. Embryonic cardiomyocyte ablation of Dot1l revealed that H3K79me2 does not act as a general transcriptional activator, but rather regulates highly specific transcriptional networks at two critical cardiogenic junctures: embryonic cardiogenesis, where it was particularly important for left ventricle-specific genes, and postnatal cardiomyocyte cell cycle withdrawal, with Dot1L mutants having more mononuclear cardiomyocytes and prolonged cardiomyocyte cell cycle activity. Mechanistic analyses revealed that H3K79me2 in two distinct domains, gene bodies and regulatory elements, synergized to promote expression of genes activated by DOT1L. Surprisingly, H3K79me2 in specific regulatory elements also contributed to silencing genes usually not expressed in cardiomyocytes. These results reveal mechanisms by which DOT1L successively regulates left ventricle specification and cardiomyocyte cell cycle withdrawal.
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!
Dennis Hecker
Authors
Postdoc
I am a biologist by training that turned into a bioinformatician for the PhD. Since starting in the SchulzLab, I have been working on analysing a variety of data and their integration with a focus on the epignome, specifically interactions between regulatory regions and genes. I also have a love-hate relationship with chromatin contact data. What keeps me going is the variety of research questions that we work on to know more about human biology and its use in medicine. I am a big fan of Python and coffee.