Balancing crosstalk between 20-hydroxyecdysone-induced autophagy and caspase activity in the fat body during Drosophila larval-prepupal transition

In the fruitfly, Drosophila melanogaster, autophagy and caspase activity function in parallel in the salivary gland during metamorphosis and in a common regulatory hierarchy during oogenesis. Both autophagy and caspase activity progressively increase in the remodeling fat body, and they are induced by a pulse of the molting hormone (20-hydroxyecdysone, 20E) during the larval-prepupal transition. Inhibition of autophagy and/or caspase activity in the remodeling fat body results in 25–40% pupal lethality, depending on the genotypes. Interestingly, a balancing crosstalk occurs between autophagy and caspase activity in this tissue: the inhibition of autophagy induces caspase activity and the inhibition of caspases induces autophagy. The Drosophila remodeling fat body provides an in vivo model for understanding the molecular mechanism of the balancing crosstalk between autophagy and caspase activity, which oppose with each other and are induced by the common stimulus 20E, and blockage of either path reinforces the other path.     

Changes in the Ceramide Composition of Rat Forebrain Gangliosides with Age

Five major gangliosides (GM1, GD1a, GD1b, GT1b, and GQ1b) were extracted and isolated by normal-phase HPLC from the forebrain of Sprague-Dawley rats of ages ranging from 3 days to 24 months. Each ganglioside was fractionated by reverse-phase HPLC into the molecular species carrying a single long-chain base moiety. At all ages, the C18:1 and C20:1 long-chain base species predominated, whereas the C18:0 and C20:0 ones represented 1-3% of the total. The C18:1 long-chain base species, predominant at 3 days (91-96%), diminished with age and reached, at 2 years, 73%, 65%, 61%, 59%, and 45% of the total for GD1a, GM1, GT1b, GD1b, and GQ1b, respectively. The content of the C20:1 long-chain base species, low at birth (4-9%), increased with age in all gangliosides and reached, at 2 years, 27-55% of the total. The developmental behavior of the ganglioside species containing the C18:1 long-chain base was characterized by the following: (a) a biphasic profile with a maximum around 15 days for GD1a, the most abundant ganglioside at all ages; (b) an increase until 6 months for GM1; (c) a sharp decrease until 30 days, followed by leveling for GT1b; and (d) a low, constant level for GD1b and GQ1b. All the ganglioside species containing the C20:1 long-chain base showed a constant increase during development, the increase being more marked in the first 30 days.(ABSTRACT TRUNCATED AT 250 WORDS)     

Formation of a cytosolic ganglioside-protein complex following administration of photoreactive ganglioside GM1 to human fibroblasts in culture

A GM 1 ganglioside derivative bearing a photoreactive nitrophenyl azide group and tritium labeled at the acetyl group of N-acetylneuraminic acid, has been administered to cultured human fibroblasts. With photolabeling experiments we found that a portion of the ganglioside in the cell cytosol was associated with a soluble protein of about 30 kDa.     

Investigating the role of active site residues of Rhodotorula gracilis D-amino acid oxidase on its substrate specificity

D-amino acid oxidase (DAAO) is a flavoprotein that catalyzes stereospecifically the oxidative deamination of D-amino acids. The wild-type DAAO is mainly active on neutral D-amino acids, while basic D-amino acids are poor substrates and the acidic ones are virtually not oxidized. To present a comprehensive picture of how the active site residues can modulate the substrate specificity a number of mutants at position M213, Y223, Y238, R285, S335, and Q339 were prepared in the enzyme from the yeast Rhodotorula gracilis. All DAAO mutants have spectral properties similar to those of the wild-type enzyme and are catalytically active, thus excluding an essential role in catalysis; a lower activity on neutral and basic amino acids was observed. Interestingly, an increase in activity and (k(cat)/K(m))(app) ratio on D-aspartate was observed for all the mutants containing an additional charged residue in the active site. The active site of yeast DAAO appears to be a highly evolved scaffold built up through evolution to optimize the oxidative deamination of neutral D-amino acids without limiting its substrate specificity. It is noteworthy, that introduction of a sole, additional, positively charged residue in the active site is sufficient to optimize the reactivity on acidic D-amino acids, giving rise to kinetic properties similar to those of D-aspartate oxidase.     

New biotech applications from evolved D-amino acid oxidases

D-Amino acid oxidase (DAAO) is a well-known flavoenzyme that catalyzes the oxygen-dependent oxidative deamination of amino acid D-isomers with absolute stereospecificity, which results in α-keto acids, ammonia and hydrogen peroxide. Recently, the extraordinary functional plasticity of DAAO has become evident; in turn, boosting research on this flavoprotein. Protein engineering has allowed for a redesign of DAAO substrate specificity, oxygen affinity, cofactor binding, stability, and oligomeric state. We review recent developments in utilizing DAAO, including as a biocatalyst for resolving racemic amino acid mixtures, as a tool for biosensing, and as a new mechanism of herbicide resistance. Perspectives for future biotechnological applications of this oxidative biocatalyst are also outlined.     

A 10-miRNA risk score-based prediction model for pathological complete response to neoadjuvant chemotherapy in hormone receptor-positive breast cancer

Patients with hormone receptor(HR)-positive tumors breast cancer usually experience a relatively low pathological complete response(p CR) to neoadjuvant chemotherapy(NAC). Here, we derived a 10-micro RNA risk score(10-mi RNA RS)-based model with better performance in the prediction of p CR and validated its relation with the disease-free survival(DFS) in 755 HRpositive breast cancer patients(273, 265, and 217 in the training, internal, and external validation sets, respectively). This model,pres...     

Monitoring tropical forests under a functional perspective with satellite‐based vegetation optical depth

Monitoring ecosystem functions in forests is a priority in a climate change scenario, as climate‐induced events may initially alter the functions more than slow‐changing attributes, such as biomass. The ecosystem functional properties (EFPs) are quantities that characterize key ecosystem processes. They can be derived by point observations of gas and energy exchanges between the ecosystems and the atmosphere that are collected globally at FLUXNET flux tower sites and upscaled at ecosystem level. The properties here considered describe the ability of ecosystems to optimize the use of resources for carbon uptake. They represent functional forest information, are dependent on environmental drivers, linked to leaf traits and forest structure, and influenced by climate change effects. The ability of vegetation optical depth (VOD) to provide forest functional information is investigated using 2011–2014 satellite data collected by the Soil Moisture and Ocean Salinity mission and using the EFPs as reference dataset. Tropical forests in Africa and South America were analyzed, also according to ecological homogeneous units. VOD jointly with water deficit information explained 93% and 87% of the yearly variability in both flux upscaled maximum gross primary productivity and light use efficiency functional properties, in Africa and South America forests respectively. Maps of the retrieved properties evidenced changes in forest functional responses linked to anomalous climate‐induced events during the study period. The findings indicate that VOD can support the flux upscaling process in the tropical range, affected by high uncertainty, and the detection of forest anomalous functional responses. Preliminary temporal analysis of VOD and EFP signals showed fine‐grained variability in periodicity, in signal dephasing, and in the strength of the relationships. In selected drier forest types, these satellite data could also support the monitoring of functional dynamics.