Protein Turnover in Brain of the Rat Fetus

Protein synthesis in vivo was studied in whole brain of rat fetuses using continuous intravenous infusion of L-[U-14C]tyrosine into unrestrained pregnant rats at 19 and 21 days gestation. Protein degradation (KD) was calculated by subtracting fractional growth rate of brain protein (KG) from the fractional synthesis rate (KS). KS was high at both gestational ages (0.42 +/- 0.03 days-1 at day 19, 0.47 +/- 0.029 days-1 at 21 days), comparable to values previously reported for newborn rat cerebral hemispheres, and threefold higher than is seen in adult animals. KD was similar at both 19 and 21 days gestation (0.19-0.24) and lower than that reported in neonatal rat brain using similar techniques. Protein accretion during the most rapid phase of brain growth (fetus) is accomplished by similar rates of protein synthesis, but decreased rates of degradation when compared with a slower growth phase (newborn). KD in the brain of the rapidly growing fetus is slightly higher than in adult cerebral hemispheres.     

On the Activity of Alkaline Phosphatase in Intestinal Mucosa from Casein-fed Rats

A novel optical activity of lutein was studied in dodecyltrimethylammonium bromide (DTAB) solution by the measurement of circular dichroism and absorbance. The surfactant was found to bring about the circular dichroism activity of the lutein below the critical micelle concentration (CMC) in a different way from that by sodium dodecyl sulfate (SDS). This phenomenon was interpreted by the card-pack model of the lutein aggregate in which lutein molecule was slightly shifted each other. The above optical activity abruptly became strong just before the CMC of DTAB. This seems to correspond to the transition from the polymeric aggregate of the lutein to the oligomeric one. Such an optical activity disappeared beyond the CMC on the incorporation of the lutein molecules into the surfactant micelles. The molar binding ratios of DTAB to the lutein were determined to be 130 to 210 on the basis of the lutein concentration dependence of the DTAB concentration showing the arbitrary ellipticity. These ratios were clearly larger than those for SDS. On the other hand, filtration measurement showed that the size of the lutein-DTAB complex was larger than 2 μm in diameter. These phenomena were discussed assuming the possible model of the aggregate as a comparative study of the anionic and cationic surfactants causing the novel optical activity of this aggregate.     

Bombesin-like peptides stimulate phosphatidylinositol turnover in rat brain slices

The ability of bombesin (BN)-like peptides to stimulate phosphatidylinositol turnover in rat brain slices was investigated. BN (1 μM) significantly stimulated inositol-1-phosphate (IP₁) but not inositol-4,5-biphosphate (IP₂) or inositol-1,4,5-trisphosphate (IP₃) production using frontal cortex slices in the presence of LiCl (7.5 mM); BN had no effect on cAMP or cGMP levels. BN and the structurally-related gastrin releasing peptide (GRP) elevated IP₁ levels in a dose-dependent manner. Similarly, nanomolar concentrations of the GRP fragment (Ac-GRP^20–27) significantly elevated IP₁ levels, whereas micromolar concentrations of the inactive GRP^1–16 did not. BN significantly elevated IP₁ levels in those brain regions enriched in BN receptors such as the olfactory bulb, hippocampus, striatum, thalamus and frontal cortex, whereas IP₁ levels were not significantly increased in areas which have a low density of BN receptors such as the cerebellum, medulla/pons and midbrain. These data suggest that CNS BN receptors may utilize phosphatidylinositol as a second messenger.     

Harmonizing Labeling and Analytical Strategies to Obtain Protein Turnover Rates in Intact Adult Animals

Changes in the abundance of individual proteins in the proteome can be elicited by modulation of protein synthesis (the rate of input of newly synthesized proteins into the protein pool) or degradation (the rate of removal of protein molecules from the pool). A full understanding of proteome changes therefore requires a definition of the roles of these two processes in proteostasis, collectively known as protein turnover. Because protein turnover occurs even in the absence of overt changes in pool abundance, turnover measurements necessitate monitoring the flux of stable isotope–labeled precursors through the protein pool such as labeled amino acids or metabolic precursors such as ammonium chloride or heavy water. In cells in culture, the ability to manipulate precursor pools by rapid medium changes is simple, but for more complex systems such as intact animals, the approach becomes more convoluted. Individual methods bring specific complications, and the suitability of different methods has not been comprehensively explored. In this study, we compare the turnover rates of proteins across four mouse tissues, obtained from the same inbred mouse strain maintained under identical husbandry conditions, measured using either [¹³C₆]lysine or [²H₂]O as the labeling precursor. We show that for long-lived proteins, the two approaches yield essentially identical measures of the first-order rate constant for degradation. For short-lived proteins, there is a need to compensate for the slower equilibration of lysine through the precursor pools. We evaluate different approaches to provide that compensation. We conclude that both labels are suitable, but careful determination of precursor enrichment kinetics in amino acid labeling is critical and has a considerable influence on the numerical values of the derived protein turnover rates.     

Pathways of glutathione degradation in the yeast Saccharomyces cerevisiae

The degradation of glutathione (GSH) in the yeast Saccharomyces cerevisiae appears to be mediated only by γ-glutamyltranspeptidase and cysteinylglycine dipeptidase. Other enzymes of the γ-glutamyl cycle, γ-glutamyl cyclotransferase and 5-oxo-l-prolinase, are not present in the yeast. In vivo transpeptidation was shown in the presence of a high intracellular level of γ-glutamyltranspeptidase, but only when the de-repressing nitrogen source was a suitable acceptor of the transferase reaction. In contrast, when the de-repressing source was not an acceptor of the transferase reaction (e.g. urea), only glutamate was detected. Intracellular GSH is virtually inert when the level of γ-glutamyltranspeptidase is low. Possible roles for in vivo transpeptidation are discussed.     

Accumulation of “Old Proteins” and the Critical Need for MS‐based Protein Turnover Measurements in Aging and Longevity

Aging and age‐related diseases are accompanied by proteome remodeling and progressive declines in cellular machinery required to maintain protein homeostasis (proteostasis), such as autophagy, ubiquitin‐mediated degradation, and protein synthesis. While many studies have focused on capturing changes in proteostasis, the identification of proteins that evade these cellular processes has recently emerged as an approach to studying the aging proteome. With advances in proteomic technology, it is possible to monitor protein half‐lives and protein turnover at the level of individual proteins in vivo. For large‐scale studies, these technologies typically include the use of stable isotope labeling coupled with MS and comprehensive assessment of protein turnover rates. Protein turnover studies have revealed groups of highly relevant long‐lived proteins (LLPs), such as the nuclear pore complexes, extracellular matrix proteins, and protein aggregates. Here, the role of LLPs during aging and age‐related diseases and the methods used to identify and quantify their changes are reviewed. The methods available to conduct studies of protein turnover, used in combination with traditional proteomic methods, will enable the field to perform studies in a systems biology context, as changes in proteostasis may not be revealed in studies that solely measure differential protein abundances.     

IL‐10 induces MC3T3‐E1 cells differentiation towards osteoblastic fate in murine model

Interleukin‐10 (IL‐10) displays well‐documented anti‐inflammatory effects, but its effects on osteoblast differentiation have not been investigated. In this study, we found IL‐10 negatively regulates microRNA‐7025‐5p (miR‐7025‐5p), the down‐regulation of which enhances osteoblast differentiation. Furthermore, through luciferase reporter assays, we found evidence that insulin‐like growth factor 1 receptor (IGF1R) is a miR‐7025‐5p target gene that positively regulates osteoblast differentiation. In vivo studies indicated that the pre‐injection of IL‐10 leads to increased bone formation, while agomiR‐7025‐5p injection delays fracture healing. Taken together, these results indicate that IL‐10 induces osteoblast differentiation via regulation of the miR‐7025‐5p/IGF1R axis. IL‐10 therefore represents a promising therapeutic strategy to promote fracture healing.     

LNRLMI: Linear neighbour representation for predicting lncRNA‐miRNA interactions

LncRNA and miRNA are key molecules in mechanism of competing endogenous RNAs(ceRNA), and their interactions have been discovered with important roles in gene regulation. As supplementary to the identification of lncRNA‐miRNA interactions from CLIP‐seq experiments, in silico prediction can select the most potential candidates for experimental validation. Although developing computational tool for predicting lncRNA‐miRNA interaction is of great importance for deciphering the ceRNA mechanism, little effort has been made towards this direction. In this paper, we propose an approach based on linear neighbour representation to predict lncRNA‐miRNA interactions (LNRLMI). Specifically, we first constructed a bipartite network by combining the known interaction network and similarities based on expression profiles of lncRNAs and miRNAs. Based on such a data integration, linear neighbour representation method was introduced to construct a prediction model. To evaluate the prediction performance of the proposed model, k‐fold cross validations were implemented. As a result, LNRLMI yielded the average AUCs of 0.8475 ± 0.0032, 0.8960 ± 0.0015 and 0.9069 ± 0.0014 on 2‐fold, 5‐fold and 10‐fold cross validation, respectively. A series of comparison experiments with other methods were also conducted, and the results showed that our method was feasible and effective to predict lncRNA‐miRNA interactions via a combination of different types of useful side information. It is anticipated that LNRLMI could be a useful tool for predicting non‐coding RNA regulation network that lncRNA and miRNA are involved in.