Inhibition of GPR40 protects MIN6 β cells from palmitate-induced ER stress and apoptosis

Chronic exposure to elevated concentration of free fatty acids (FFA) has been verified to induce endoplasmic reticulum (ER) stress, which leads to pancreatic β-cell apoptosis. As one of the medium and long chain FFA receptors, GPR40 is highly expressed in pancreatic β cells, mediates both acute and chronic effects of FFA on β-cell function, but the role of GPR40 in FFA-induced β-cell apoptosis remains unclear. In this study, we investigated the possible effects of GPR40 in palmitate-induced MIN6 β-cell apoptosis, and found that DC260126, a novel small molecular antagonist of GPR40, could protect MIN6 β cells from palmitate-induced ER stress and apoptosis. Similar results were observed in GPR40-deficient MIN6 cells, indicating that palmitate-induced β-cell apoptosis is at least partially dependent on ER stress pathway via GRP40.     

Mitochondrial DNA genetic polymorphism in thirteen rice cytoplasmic male sterile lines

Key message

Thirteen rice CMS lines derived from different cytoplasms were classified into eight groups by PCR amplification on mtDNA. The orf79 gene, which causes Boro II CMS, possibly results in Dian1-CMS.

Abstract

Thirteen rice cytoplasmic male sterile (CMS) lines derived from different cytoplasms are widely used for hybrid rice breeding. Based on 27 loci on mitochondrial DNA, including single nucleotide polymorphisms and segmental sequence variations between typical indica and japonica as well as high-polymorphism segmental sequence variations and single nucleotide polymorphisms among rice CMS lines, the 13 rice CMS lines were classified into eight groups: (I) wild-abortive CMS, Indonesian Shuitiangu CMS, K-CMS, Gang CMS, D-CMS and dwarf abortive CMS; (II) Maxie-CMS; (III) Honglian CMS; (IV) Boro II CMS; (V) Dian1-CMS; (VI) Liao-CMS; (VII) Lead CMS; and (VIII) Chinese wild rice CMS. According to their pollen abortion phenotypes, groups I and II (including 7 CMS lines) were classified as sporophytic CMS lines, the cytoplasmic genetic relationships among which were very close. They could have originated from similar, or even the same, cytoplasm donors. Groups III–VIII (including 6 CMS lines) were categorized as gametophytic CMS lines, the cytoplasms of which differed from one another, with some having relatively far genetic relationships. Dian1-CMS was found to harbor the orf79 gene, which causes Boro II CMS, whereas Liao-CMS had an orf79 structure that does not result in Lead CMS. Therefore, we speculated that orf79 is associated with Dian1-CMS but not with Liao-CMS. The atp6–orf79 structure related to sterility was also found to experience multiple evolutionary turnovers. All sporophytic CMS lines were indica-like. Except the Honglian CMS line, which was indica-like, all gametophytic CMS lines were japonica-like.     

Protein-protein interaction site predictions with three-dimensional probability distributions of interacting atoms on protein surfaces

Protein-protein interactions are key to many biological processes. Computational methodologies devised to predict protein-protein interaction (PPI) sites on protein surfaces are important tools in providing insights into the biological functions of proteins and in developing therapeutics targeting the protein-protein interaction sites. One of the general features of PPI sites is that the core regions from the two interacting protein surfaces are complementary to each other, similar to the interior of proteins in packing density and in the physicochemical nature of the amino acid composition. In this work, we simulated the physicochemical complementarities by constructing three-dimensional probability density maps of non-covalent interacting atoms on the protein surfaces. The interacting probabilities were derived from the interior of known structures. Machine learning algorithms were applied to learn the characteristic patterns of the probability density maps specific to the PPI sites. The trained predictors for PPI sites were cross-validated with the training cases (consisting of 432 proteins) and were tested on an independent dataset (consisting of 142 proteins). The residue-based Matthews correlation coefficient for the independent test set was 0.423; the accuracy, precision, sensitivity, specificity were 0.753, 0.519, 0.677, and 0.779 respectively. The benchmark results indicate that the optimized machine learning models are among the best predictors in identifying PPI sites on protein surfaces. In particular, the PPI site prediction accuracy increases with increasing size of the PPI site and with increasing hydrophobicity in amino acid composition of the PPI interface; the core interface regions are more likely to be recognized with high prediction confidence. The results indicate that the physicochemical complementarity patterns on protein surfaces are important determinants in PPIs, and a substantial portion of the PPI sites can be predicted correctly with the physicochemical complementarity features based on the non-covalent interaction data derived from protein interiors.     

RhD正定型及不规则抗体筛查的临床意义分析

目的:探究RhD正定型及不规则抗体筛查在预防临床输血不良反应中的应用价值及临床意义。方法:回顾性分析2010年至2011年、2017年至2018年于首都医科大学附属北京同仁医院输血科实施输血治疗的1892例患者,将2010年至2011年未实施Rh D正定型及不规则抗体筛查时输血治疗的901例患者设为对照组,将2017年至2018年实施RhD正定型及不规则抗体筛查后输血治疗的991例患者设为观察组。对比两组输血不良反应发生率,分析不同血液成分、不同性别、不同年龄输血不良反应发生率,并就2017年、2018年受血者RhD正定型及不规则抗体特异性分布进行罗列。结果:(1)2010年输血不良反应发生率为3.49%,2011年为2.40%,2017年为1.33%,2018年为0.74%,对照组不良反应发生率明显高于观察组(P<0.05)。(2)观察组不同血液成分输血的不良反应发生率显著低于对照组(P<0.05)。(3)两组不同年龄和性别输血不良反应发生率对比差异无统计学意义(P>0.05)。(4)观察组共检出20例RhD正定型及不规则抗体阳性患者,其中抗-M型5例,抗-D型3例,抗-E型2例,抗-C型2例,抗-P型2例,抗-LEa型1例,抗-LEb型1例,抗-JKa型1例,抗-N型1例,抗-H型1例,非特异性抗体1例。结论:RhD正定型及不规则抗体筛查能够显著降低输血不良反应发生率,有助于提高配血的准确性,提高输血治疗的安全性。     

Ethylene production in rice bronzing leaves induced by ferrous iron

Bronzing, a nutritional disorder of rice plants which is widely distributed in tropical lowlands, was induced by dipping the cut end of rice leaves into FeSO₄ solution (pH 3.5). Ethylene production; the activities of peroxidase, polyphenol oxidase, and phenylalanine ammonia-lyase; and the effects of Co²⁺, aminoethoxyvinylglycine, Ag⁺, cycloheximide, and 1-aminocyclopropane-1-carboxylate, were investigated in the course of bronzing development. It was found that ethylene production could be stimulated up to about 20 times that of the control by Fe²⁺, and a peak could be reached at about 24 h after incubation. The Fe²⁺-treated leaves also had 10-fold higher peroxidase activity than the control, whereas in vitro enzyme activity was inhibited by Fe²⁺. Cycloheximide retarded in vivo stimulation of peroxidase, indicating that in vivo stimulation resulted from inducing de novo synthesis of the enzyme. No changes in the activities of phenylalanine ammonia-lyase and polyphenol oxidase were observed. The results, obtained from the incubation of leaves with Co²⁺, aminoethoxyvinylglycine, Ag⁺, cycloheximide, or 1-aminocyclopropane-1-carboxylate, showed that ethylene production was the effect of Fe²⁺ stress and that it was not involved in the process of bronzing development, which is probably an acclimation process to enable plants to cope with stress. The accelerated peroxidase activity may be associated with bronzing development.Abbreviations ACC 1-aminocyclopropane-1-carboxylic acid - AVG aminoethoxyvinylglycine - EFE ethylene forming enzyme - PAL phenylalanine ammonia-lyase - POD peroxidase - PPO polyphenol oxidase - SE standard error     

lncRNA NEAT1 facilitates melanoma cell proliferation,migration, and invasion via regulating miR-495-3p and E2F3

Melanoma contributes a lot to skin cancer-related deaths. lncRNAs are implicated in various diseases, including melanoma. lncRNA NEAT1 is frequently dysregulated and can play important roles in multiple cancers. Nevertheless, little has been studied about the function of NEAT1 in melanoma progression. In our present research, we displayed NEAT1 was overexpressed in melanoma cells. A series of functional assays showed that overexpression of NEAT1 promoted the proliferation, migration, and invasion of melanoma cells. By contrast, NEAT1 knockdown obviously restrained melanoma cell progression. Mechanistically, it was revealed that NEAT1 could directly bind with miR-495-3p, which led to a negative effect on miR-495-3p levels. In addition, miR-495-3p was significantly decreased in melanoma cells. Furthermore, E2F3 was postulated as the target of miR-495-3p and overexpression of this miR could suppress the levels of E2F3. Meanwhile, it was exhibited that melanoma cell proliferation, migration, and invasion induced by E2F3 silence was abrogated by miR-495-3p. Moreover, an in vivo xenograft nude mice model was established using A375 cells and it was indicated that NEAT1 promoted melanoma progression in vivo via regulating the miR-495-3p/E2F3 axis. In conclusion, we suggest that NEAT1 exerts an oncogenic effect on melanoma development via inhibition of miR-495-3p and induction of E2F3. NEAT1 might serve as a crucial prognostic biomarker of melanoma.