Body size is a tightly regulated phenotype in metazoans that depends on both intrinsic and extrinsic factors. While signaling pathways are known to control organ and body size, the downstream effectors that mediate their effects remain poorly understood. In the nematode Caenorhabditis elegans, a Bone Morphogenetic Protein (BMP)-related signaling pathway is the major regulator of growth and body size. We investigated the transcriptional network through which the BMP pathway regulates body size and identified cuticle collagen genes as major effectors of growth control. We demonstrate that cuticle collagens can act as positive regulators (col-41), negative regulators (col-141), or dose-sensitive regulators (rol-6) of body size. Moreover, we find a requirement of BMP signaling for stage-specific expression of cuticle collagen genes. We show that the Smad signal transducers directly bind conserved Smad-binding elements in regulatory regions of col-141 and col-142, but not of col-41. Hence, cuticle collagen genes may be directly and indirectly regulated via the BMP pathway. Our work thus connects a conserved signaling pathway with its critical downstream effectors, advancing insight into how body size is specified. Since collagen mutations and misregulation are implicated in numerous human genetic disorders and injury sequelae, understanding how collagen gene expression is regulated has broad implications.

Metabolic homeostasis is coordinately controlled by diverse inputs. Understanding these regulatory networks is vital to combating metabolic disorders. The nematode Caenorhabditis elegans has emerged as a powerful, genetically tractable model system for the discovery of lipid regulatory mechanisms. Here we introduce DBL-1, the C. elegans homolog of bone morphogenetic protein 2/4 (BMP2/4), as a significant regulator of lipid homeostasis. We used neutral lipid staining and a lipid droplet marker to demonstrate that both increases and decreases in DBL-1/BMP signaling result in reduced lipid stores and lipid droplet count. We find that lipid droplet size, however, correlates positively with the level of DBL-1/BMP signaling. Regulation of lipid accumulation in the intestine occurs through non-cell-autonomous signaling, since expression of SMA-3, a Smad signal transducer, in the epidermis (hypodermis) is sufficient to rescue the loss of lipid accumulation. Finally, genetic evidence indicates that DBL-1/BMP functions upstream of Insulin/IGF-1 Signaling in lipid metabolism. We conclude that BMP signaling regulates lipid metabolism in C. elegans through interorgan signaling to the Insulin pathway, shedding light on a less well-studied regulatory mechanism for metabolic homeostasis.

Metabolic homeostasis is coordinately controlled by diverse inputs, which must be understood to combat metabolic disorders. Here we introduce DBL-1, the C. elegans BMP2/4 homolog, as a significant regulator of lipid homeostasis. We used neutral lipid staining and a lipid droplet marker to demonstrate that both increases and decreases in DBL-1/BMP signaling result in reduced lipid stores and lipid droplet count. We find that lipid droplet size, however, correlates positively with the level of DBL-1/BMP signaling.Regulation of lipid accumulation in the intestine occurs through non-cell-autonomous signaling, since expression of SMA-3, a Smad signal transducer, in the epidermis (hypodermis) is sufficient to rescue the loss of lipid accumulation. Finally, genetic evidence indicates that DBL-1/BMP functions upstream of Insulin/IGF-1 Signaling (IIS) in lipid metabolism. We conclude that BMP signaling regulates lipid metabolism in C. elegans through inter-organ signaling to IIS, shedding light on a less well-studied regulatory mechanism for metabolic homeostasis.

Similar to other types of cancer, acidification of tumor microenvironment is an important feature of osteosarcoma, and a major source of cellular stress that triggers cancer aggressiveness, drug resistance, and progression. Among the different effects of low extracellular pH on tumor cells, we have recently found that short-term exposure to acidosis strongly affects gene expression. This alteration might also occur for the most commonly used housekeeping genes (HKG), thereby causing erroneous interpretation of RT-qPCR data. On this basis, by using osteosarcoma cells cultured at different pH values, we aimed to identify the ideal HKG to be considered in studies on tumor-associated acidosis. We verified the stability of 15 commonly used HKG through five algorithms (NormFinder, geNorm, BestKeeper, ΔCT, coefficient of variation) and found that no universal HKG is suitable, since at least four HKG are necessary for proper normalization. Furthermore, according to the acceptable range of values, YWHAZ, GAPDH, GUSB, and 18S rRNA were the most stable reference genes at different pH. Our results will be helpful for future investigations focusing on the effect of altered microenvironment on cancer behavior, particularly on the effectiveness of anticancer therapies in acid conditions.