Autophagy is an intracellular degradation system that breaks down damaged organelles or damaged proteins using intracellular lysosomes. Recent studies have also revealed that various forms of selective autophagy play specific physiological roles under different cellular conditions. Lipid droplets, which are mainly found in adipocytes and hepatocytes, are dynamic organelles that store triglycerides and are critical to health. Lipophagy is a type of selective autophagy that targets lipid droplets and is an essential mechanism for maintaining homeostasis of lipid droplets. However, while processes that regulate lipid droplets such as lipolysis and lipogenesis are relatively well known, the major factors that control lipophagy remain largely unknown. This review introduces the underlying mechanism by which lipophagy is induced and regulated, and the current findings on the major roles of lipophagy in physiological and pathological status. These studies will provide basic insights into the function of lipophagy and may be useful for the development of new therapies for lipophagy dysfunction-related diseases.

Lipophagy: Molecular Mechanisms and Implications in Metabolic Disorders.

In droplet-based single-cell and single-nucleus RNA-seq experiments, not all reads associated with one cell barcode originate from the encapsulated cell. Such background noise is attributed to spillage from cell-free ambient RNA or barcode swapping events.Here, we characterize this background noise exemplified by three scRNA-seq and two snRNA-seq replicates of mouse kidneys. For each experiment, cells from two mouse subspecies are pooled, allowing to identify cross-genotype contaminating molecules and thus profile background noise. Background noise is highly variable across replicates and cells, making up on average 3-35% of the total counts (UMIs) per cell and we find that noise levels are directly proportional to the specificity and detectability of marker genes. In search of the source of background noise, we find multiple lines of evidence that the majority of background molecules originates from ambient RNA. Finally, we use our genotype-based estimates to evaluate the performance of three methods (CellBender, DecontX, SoupX) that are designed to quantify and remove background noise. We find that CellBender provides the most precise estimates of background noise levels and also yields the highest improvement for marker gene detection. By contrast, clustering and classification of cells are fairly robust towards background noise and only small improvements can be achieved by background removal that may come at the cost of distortions in fine structure.Our findings help to better understand the extent, sources and impact of background noise in single-cell experiments and provide guidance on how to deal with it. 

/pdf/the-effect-of-background-noise-and-its-removal-on-the-1ti9cu4t.pdf

The effect of background noise and its removal on the analysis of single-cell expression data

Liraglutide and other agonists of the glucagon-like peptide 1 receptor (GLP-1RAs) are effective weight loss drugs, but how they suppress appetite remains unclear. GLP-1RAs inhibit hunger-promoting Agouti-related peptide (AgRP) neurons of the arcuate hypothalamus (Arc) but only indirectly, implicating synaptic afferents to AgRP neurons. To investigate, we developed a method combining rabies-based connectomics with single-nuclei transcriptomics. Applying this method to AgRP neurons in mice predicts 21 afferent subtypes in the mediobasal and paraventricular hypothalamus. Among these are Trh+ Arc neurons (TrhArc), which express the Glp1r gene and are activated by the GLP-1RA liraglutide. Activating TrhArc neurons inhibits AgRP neurons and decreases feeding in an AgRP neuron-dependent manner. Silencing TrhArc neurons increases feeding and body weight and reduces liraglutide’s satiating effects. Our results thus demonstrate a widely applicable method for molecular connectomics, reveal the molecular organization of AgRP neuron afferents, and shed light on a neurocircuit through which GLP-1RAs suppress appetite.

Molecular Connectomics Reveals a Glucagon-Like Peptide 1 Sensitive Neural Circuit for Satiety

Throughout our lifetime, each beat of the heart requires the coordinated action of multiple cardiac cell types. Understanding cardiac cell biology, its intricate microenvironments, and the mechanisms that govern their function in health and disease are crucial to designing novel therapeutical and behavioral interventions. Recent advances in single-cell and spatial omics technologies have significantly propelled this understanding, offering novel insights into the cellular diversity and function and the complex interactions of cardiac tissue. This review provides a comprehensive overview of the cellular landscape of the heart, bridging the gap between suspension-based and emerging in situ approaches, focusing on the experimental and computational challenges, comparative analyses of mouse and human cardiac systems, and the rising contextualization of cardiac cells within their niches. As we explore the heart at this unprecedented resolution, integrating insights from both mouse and human studies will pave the way for novel diagnostic tools and therapeutic interventions, ultimately improving outcomes for patients with cardiovascular diseases. 

Revisiting Cardiac Biology in the Era of Single Cell and Spatial Omics

The large size and vascular accessibility of the laboratory rat (Rattus norvegicus) make it an ideal hepatic animal model for diseases that require surgical manipulation. Often, the disease susceptibility and outcomes of inflammatory pathologies vary significantly between strains. This study uses single-cell transcriptomics to better understand the complex cellular network of the rat liver, as well as to unravel the cellular and molecular sources of inter-strain hepatic variation. We generated single-cell and single-nucleus transcriptomic maps of the livers of healthy Dark Agouti and Lewis rat strains and developed a factor analysis-based bioinformatics analysis pipeline to study data covariates, such as strain and batch. Using this approach, we discovered transcriptomic variation within the hepatocyte and myeloid populations that underlie distinct cell states between rat strains. This finding will help provide a reference for future investigations on strain-dependent outcomes of surgical experiment models. 

A Rat Liver Cell Atlas Reveals Intrahepatic Myeloid Heterogeneity.

Cross-species comparisons using pluripotent stem cells from primates are crucial to better understand human biology, disease, and evolution. The Vervet monkey (Chlorocebus aethiops sabaeus) serves as an important primate model for such studies, and therefore we reprogrammed skin fibroblasts derived from a male and a female individual, resulting in two induced pluripotent stem cell lines (iPSCs). These iPSCs display the characteristic ESC-like colony morphology, express key pluripotency markers, and possess the ability to differentiate into cells representing all three germ layers. Importantly, both generated cell lines can be maintained in feeder-free culture conditions using commercially available medium. 

Generation and characterization of two Vervet monkey induced pluripotent stem cell lines derived from fibroblasts.

Cross-species comparisons using pluripotent stem cells from primates are crucial to better understand human biology, disease, and evolution. An important primate model is the Rhesus macaque (Macaca mulatta), and we reprogrammed skin fibroblasts from a male individual to generate three induced pluripotent stem cell (iPSC) lines. These cells exhibit the typical ESC-like colony morphology, express common pluripotency markers, and can differentiate into cells of the three germ layers. All generated iPSC lines can be cultured under feeder-free conditions in commercially available medium and are therefore valuable resources for cross-species comparisons. 

Generation and characterization of three fibroblast-derived Rhesus Macaque induced pluripotent stem cell lines.

Cross-species comparisons studying primate pluripotent stem cells and their derivatives are crucial to better understand the molecular and cellular mechanisms behind human disease and development. Within this context, Baboons (Papio anubis) have emerged as a prominent primate model for such investigations. Herein, we reprogrammed skin fibroblasts of one male individual and generated two induced pluripotent stem cell (iPSC) lines, which exhibit the characteristic ESC-like morphology, demonstrated robust expression of key pluripotency factors and displayed multilineage differentiation potential. Notably, both iPSC lines can be cultured under feeder-free conditions in commercially available medium, enhancing their value for cross-species comparisons. 

Generation and characterization of two fibroblast-derived Baboon induced pluripotent stem cell lines.

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The effect of background noise and its removal on the analysis of single-cell expression data

Generation and characterization of two Vervet monkey induced pluripotent stem cell lines derived from fibroblasts.

Generation and characterization of three fibroblast-derived Rhesus Macaque induced pluripotent stem cell lines.

Generation and characterization of two fibroblast-derived Baboon induced pluripotent stem cell lines.