Salt stress is one of the most important factors limiting plant cultivation. Many investigations of plant response to high salinity have been performed using conventional transcriptomics and/or proteomics approaches. However, transcriptomics and proteomics techniques are not all-encompassing methods that can achieve exclusive insights into the metabolite networks contributing to biochemical reactions. Hence, the functions of the complex stress response pathways are yet to be determined, especially at the metabolic level. A time-course metabolic profiling with Arabidopsis thaliana cell cultures after the imposition of salt stress is reported in this study. Analyses of primary metabolites, especially small polar metabolites such as amino acids, sugars, sugar alcohols, organic acids, and amines, was performed by GC/MS and LC/MS at 0.5, 1, 2, 4, 12, 24, 48, and 72 h after a salt-stress treatment with 100 mM NaCl being the final concentration. The mass chromatographic data were converted into matrix data sets, which were subjected to data mining processes, including principal component analysis (PCA) and batch-learning self-organizing mapping analysis (BL-SOM). The mining results suggest that the methylation cycle for the supply of methyl groups, the phenylpropanoid pathway for lignin production, and glycinebetaine biosynthesis are synergetically induced as a short-term response against salt-stress treatment. The results also suggest the the co-induction of glycolysis and sucrose metabolism as well as co-reduction of the methylation cycle as long-term responses to salt stress.

Background: The goal of metabolomics analyses is a comprehensive and systematic understanding of all metabolites in biological samples. Many useful platforms have been developed to achieve this goal. Gas chromatography coupled to mass spectrometry (GC/MS) is a well-established analytical method in metabolomics study, and 200 to 500 peaks are routinely observed with one biological sample. However, only ~100 metabolites can be identified, and the remaining peaks are left as "unknowns". Result: We present an algorithm that acquires more extensive metabolite information. Pearson's product-moment correlation coefficient and the Soft Independent Modeling of Class Analogy (SIMCA) method were combined to automatically identify and annotate unknown peaks, which tend to be missed in routine studies that employ manual processing. Conclusions: Our data mining system can offer a wealth of metabolite information quickly and easily, and it provides new insights, particularly into food quality evaluation and prediction.

Adiponectin, an adipocyte-derived circulating protein, accumulates in vasculature, heart, and skeletal muscles through interaction with a unique glycosylphosphatidylinositol-anchored cadherin, T-cadherin. Recent studies have demonstrated that such accumulation is essential for adiponectin-mediated cardiovascular protection. Here, we demonstrate that the adiponectin/T-cadherin system enhances exosome biogenesis and secretion, leading to the decrease of cellular ceramides. Adiponectin accumulated inside multivesicular bodies, the site of exosome generation, in cultured cells and in vivo aorta, and also in exosomes in conditioned media and in blood, together with T-cadherin. The systemic level of exosomes in blood was significantly affected by adiponectin or T-cadherin in vivo. Adiponectin increased exosome biogenesis from the cells, dependently on T-cadherin, but not on AdipoR1 or AdipoR2. Such enhancement of exosome release accompanied the reduction of cellular ceramides through ceramide efflux in exosomes. Consistently, the ceramide reduction by adiponectin was found in aortas of WT mice treated with angiotensin II, but not in T-cadherin–knockout mice. Our findings provide insights into adiponectin/T-cadherin–mediated organ protection through exosome biogenesis and secretion.

Autophagy is a catabolic process conserved among eukaryotes. Under nutrient starvation, a portion of the cytoplasm is non‐selectively sequestered into autophagosomes. Consequently, ribosomes are delivered to the vacuole/lysosome for destruction, but the precise mechanism of autophagic RNA degradation and its physiological implications for cellular metabolism remain unknown. We characterized autophagy‐dependent RNA catabolism using a combination of metabolome and molecular biological analyses in yeast. RNA delivered to the vacuole was processed by Rny1, a T2‐type ribonuclease, generating 3′‐NMPs that were immediately converted to nucleosides by the vacuolar non‐specific phosphatase Pho8. In the cytoplasm, these nucleosides were broken down by the nucleosidases Pnp1 and Urh1. Most of the resultant bases were not re‐assimilated, but excreted from the cell. Bulk non‐selective autophagy causes drastic perturbation of metabolism, which must be minimized to maintain intracellular homeostasis. Synopsis Nitrogen starvation triggers RNA decay in the vacuole through non‐selective autophagy. The released nucleobases are secreted from the cell, a process that may prevent toxic build‐up of degradation products. Upon nitrogen starvation, a mainly non‐selective autophagy pathway degrades bulk RNA. RNA sequestered to the vacuole via autophagy is first cleaved by the T2 family ribonulease Rny1. 3′‐NMPs generated by Rny1 are converted to nucleosides by the vacuolar nucleotidase Pho8. Nucleosides are further metabolized into bases by nucleosidases in the cytoplasm. Most of the resultant bases are excreted from the cell.