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Transverse section through the cerebellum defines a deeply pigmented dentate nucleus. The distribution is fairly uniform and symmetrical. The locus ceruleus was not abnormally pigmented and no pigment was grossly seen elsewhere in the brain. 

Transverse section through the cerebellum defines a deeply pigmented dentate nucleus. The distribution is fairly uniform and symmetrical. The locus ceruleus was not abnormally pigmented and no pigment was grossly seen elsewhere in the brain. 

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Primary melanosis of the dentate nucleus is a rarely described entity with neither known cause nor definitive clinicopathologic correlation. We revisit this previously reported phenomenon by presenting one such case with a review of the pathology as well as additional investigations including elemental analysis by energy-dispersive X-ray, immunohis...

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... the only abnormality was seen in the dentate nucleus, which was uniformly black-brown. The pigmentation was symmetrically distributed, with the entire dentate nucleus being uniformly affected. No abnormal discol- oration was grossly observed elsewhere in the brain (Fig. ...

Citations

... In Fig 7, we exemplify some attractive novel predictions based on what we already know. For example, glia are the secondary site for eumelanin production (Tables EV7 and EV8, Fig 6B), which may be related to the presence of neuromelanin in glia and neurons in mammals (McCloskey et al, 1976;Hopley et al, 2017). The gonad is predicted to be the main selenocompound producer, including selenoprotein biosynthesis, which can be potentially linked to the essentiality of selenium in human sperm cells (Hawkes & Turek, 2001). ...
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Metabolism is a highly compartmentalized process that provides building blocks for biomass generation during development, homeostasis, and wound healing, and energy to support cellular and organismal processes. In metazoans, different cells and tissues specialize in different aspects of metabolism. However, studying the compartmentalization of metabolism in different cell types in a whole animal and for a particular stage of life is difficult. Here, we present MEtabolic models Reconciled with Gene Expression (MERGE), a computational pipeline that we used to predict tissue-relevant metabolic function at the network, pathway, reaction, and metabolite levels based on single-cell RNA-sequencing (scRNA-seq) data from the nematode Caenorhabditis elegans. Our analysis recapitulated known tissue functions in C. elegans, captured metabolic properties that are shared with similar tissues in human, and provided predictions for novel metabolic functions. MERGE is versatile and applicable to other systems. We envision this work as a starting point for the development of metabolic network models for individual cells as scRNA-seq continues to provide higher-resolution gene expression data.