Rochon, E. | Search bioRxiv

bioRxiv2022

Myoglobin promotes cardiomyocyte differentiation through oxidatively modulating the Hippo Kinase Pathway

BackgroundWhile cardiomyocytes undergo terminal differentiation postnatally and rarely re-enter the cell cycle, the endogenous mechanisms that propagate differentiation and prevent de-differentiation remain unclear. The monomeric heme protein myoglobin, which stores oxygen and regulates reactive oxygen/nitrogen species balance in the heart, increases in expression by over 50% during cardiomyocyte differentiation. Though myoglobin deletion without significant compensation is embryonic lethal in mice, a role for the protein in regulating cardiomyocyte differentiation has not been tested. We hypothesized that myoglobin expression is required for cardiomyocyte differentiation and the loss of myoglobin enables de-differentiation. MethodsMyoglobin was genetically silenced in HL-1, H9C2 cells, and neonatal rat ventricular cardiomyocytes (NRVM) to examine myoglobin-dependent effects on differentiation, proliferation, and Hippo pathway signaling. A zebrafish model of Mb depletion was made using CRISPR-Cas9 to test the effect of myoglobin depletion on cardiac regeneration after apical resection injury in vivo. ResultsMyoglobin deletion in cultured cell lines and NRVM decreased the gene expression of cardiomyocyte differentiation markers (troponin, myosin light chain, and myosin heavy chain), upregulated markers of dedifferentiation (runx1 and dab2) and stimulated cell proliferation. Mechanistically, we show that the heme prosthetic group of myoglobin catalyzes the oxidation of the Hippo pathway kinase LATS1, which activates the enzyme to phosphorylate the downstream Yes-associated protein (YAP) transcription factor, which prevents its transcriptional activity. Thus, the loss of myoglobin results in the de-phosphorylation and nuclear translocation of YAP, which propagates proliferation and fetal gene expression. In vivo, myoglobin-deficient zebrafish hearts recapitulated the increase in YAP signaling and showed accelerated regeneration at 20 days post apical injury. ConclusionWe a novel role for myoglobin as an endogenous driver of cardiomyocyte differentiation, and a regulator of the Hippo pathway. These findings suggest myoglobin as a potential target for strategies to enhance cardiac development and improve cardiac repair and regeneration.

cell biology↗

bioRxiv2021

Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation

White matter hyperintensities (WMH) are frequently observed on structural neuroimaging of elderly populations and are associated with cognitive decline and increased risk of dementia. Many existing WMH segmentation algorithms produce suboptimal results in populations with vascular lesions or brain atrophy, or require parameter tuning and are computationally expensive. Additionally, most algorithms do not generate a confidence estimate of segmentation quality, limiting their interpretation. MRI-based segmentation methods are often sensitive to acquisition protocols, scanners, noise-level, and image contrast, failing to generalize to other populations and out-of-distribution datasets. Given these concerns, we propose a novel Bayesian 3D Convolutional Neural Network (CNN) with a U-Net architecture that automatically segments WMH, provides uncertainty estimates of the segmentation output for quality control and is robust to changes in acquisition protocols. We also provide a second model to differentiate deep and periventricular WMH. 432 subjects were recruited to train the CNNs from four multi-site imaging studies. A separate test set of 158 subjects was used for evaluation, including an unseen multi-site study. We compared our model to two established state-of-the-art techniques (BIANCA and DeepMedic), highlighting its accuracy and efficiency. Our Bayesian 3D U-Net achieved the highest Dice similarity coefficient of 0.89 {+/-} 0.08 and the lowest modified Hausdorff distance of 2.98 {+/-} 4.40 mm. We further validated our models highlighting their robustness on clinical adversarial cases simulating data with low signal-to-noise ratio, low resolution, and different contrast (stemming from MRI sequences with different parameters). Our pipeline and models are available at: https://hypermapp3r.readthedocs.io

neuroscience↗