Hand2 delineates mesothelium progenitors and is reactivated in mesothelioma.
Karin D PrummelHelena Lucia CrowellSusan NieuwenhuizeEline C BrombacherStephan DaetwylerCharlotte SonesonJelena Kresoja-RakicAgnese KocereManuel RonnerAlexander ErnstZahra LabbafDavid E ClouthierAnthony B FirulliHector Sanchez-IranzoSundar Ram NaganathanRebecca O'RourkeErez RazNadia MercaderAlexa BurgerEmanuela Felley-BoscoJan HuiskenMark D RobinsonChristian MosimannPublished in: Nature communications (2022)
The mesothelium lines body cavities and surrounds internal organs, widely contributing to homeostasis and regeneration. Mesothelium disruptions cause visceral anomalies and mesothelioma tumors. Nonetheless, the embryonic emergence of mesothelia remains incompletely understood. Here, we track mesothelial origins in the lateral plate mesoderm (LPM) using zebrafish. Single-cell transcriptomics uncovers a post-gastrulation gene expression signature centered on hand2 in distinct LPM progenitor cells. We map mesothelial progenitors to lateral-most, hand2-expressing LPM and confirm conservation in mouse. Time-lapse imaging of zebrafish hand2 reporter embryos captures mesothelium formation including pericardium, visceral, and parietal peritoneum. We find primordial germ cells migrate with the forming mesothelium as ventral migration boundary. Functionally, hand2 loss disrupts mesothelium formation with reduced progenitor cells and perturbed migration. In mouse and human mesothelioma, we document expression of LPM-associated transcription factors including Hand2, suggesting re-initiation of a developmental program. Our data connects mesothelium development to Hand2, expanding our understanding of mesothelial pathologies.
Keyphrases
- gene expression
- single cell
- endothelial cells
- transcription factor
- stem cells
- minimally invasive
- poor prognosis
- induced apoptosis
- high resolution
- insulin resistance
- dna methylation
- metabolic syndrome
- type diabetes
- machine learning
- spinal cord
- high glucose
- cell death
- long non coding rna
- pluripotent stem cells
- deep learning
- electronic health record
- adipose tissue
- skeletal muscle
- high throughput
- mass spectrometry
- signaling pathway
- photodynamic therapy
- endoplasmic reticulum stress