Isolation and syntheses of polymethoxyflavones and hydroxylated polymethoxyflavones as inhibitors of HL-60 cell lines

Fifteen polymethoxyflavones (PMFs) and hydroxylated PMFs were isolated from sweet orange (Citrus sinensis) peel extract and synthesized to investigate their biological activity. All obtained compounds were tested in HL-60 cancer cell proliferation and apoptosis induction assays. While some PMFs and hydroxylated PMFs had moderate anti-carcinogenic activities, 5-hydroxy-6,7,8,3',4'-pentamethoxyflavone and 5-hydroxy-3,6,7,8,3',4'-hexamethoxyflavone showed strong inhibitory activities against the proliferation and induced apoptosis of HL-60 cell lines.     

Functional role of the ventrolateral prefrontal cortex in decision making

To make deliberate decisions, we have to utilize detailed information about the environment and our internal states. The ventral visual pathway provides detailed information on object identity, including color and shape, to the ventrolateral prefrontal cortex (VLPFC). The VLPFC also receives motivational and emotional information from the orbitofrontal cortex and subcortical areas, and computes the behavioral significance of external events; this information can be used for elaborate decision making or design of goal-directed behavior. In this review, we discuss recent advances that are revealing the neural mechanisms that underlie the coding of behavioral significance in the VLPFC, and the functional roles of these mechanisms in decision making and action programming in the brain.     

Anti-inflammatory property of the urinary metabolites of nobiletin in mouse

Nobiletin, a major component of polymethoxyflavones in citrus fruits, has a broad spectrum of health beneficial properties including anti-inflammatory and anti-carcinogenic activities. The metabolite identification of nobiletin in mouse urine has concluded that it undergoes mono-demethylation (3'- and 4'-demethylnobiletin) and di-demethylation (3',4'-didemethylnobiletin) metabolic pathway. Biological screening of nobiletin and its metabolites has revealed that the metabolites possess more potent anti-inflammatory activity than their parent compound. Therefore, this letter reports the identification of nobiletin metabolites and their anti-inflammatory activity against LPS-induced NO production and iNOS, COX-2 protein expression in RAW264.7 macrophage.     

Isolation of EF1γ from calli regenerating SSH library in maize (<Emphasis Type="Italic">Zea mays</Emphasis>)

18599 Hong, a good maize (Zea mays) inbred line as well as good transformation acceptor with high regeneration capacity, was used for isolating embryonic callus regeneration genes. Subtractive library was constructed by suppression subtractive hybridization and screened by reverse Northern hybridization. The clones of no. 27 was randomly picked to sequence. NCBI blastx results showed the similarity to elongation factor 1γ in rice. The text was submitted by the author in English.     

Prokaryotic expression and polyclonal antibody preparation of a novel Rab-like protein mRabL5

Rab GTPases, which belong to the Ras superfamily, represent a group of small molecular weight GTP binding proteins that are involved in various steps along the exocytic and endocytic pathways. We first identified mRabL5 (GenBank Accession No. NP_080349), a novel Mus musculus Rab-like protein, present as a Golgi-associated protein. Here we presented the results of the cloning, prokaryotic expression, purification, and polyclonal antibody production of the novel Rab-like protein. In order to obtain a specific antibody against mRabL5, we prepared two GST fusion proteins, full-length mRabL5 GST fusion protein and mRabL5 C terminus GST fusion protein, to immunize rabbits. Western blot analysis showed that both antibodies prepared against full length of mRabL5 and its C terminus, respectively, can recognize mRabL5 protein. Immunofluorescence of mRabL5 in NIH3T3 cells using the two antibodies showed its perinuclear clustering distribution pattern. The polyclonal antibodies preparation against mRabL5 provided a good tool for us to study the functional involvement of mRabL5.     

Prediction of protein subcellular localization by support vector machines using multi-scale energy and pseudo amino acid composition

As more and more genomes have been discovered in recent years, there is an urgent need to develop a reliable method to predict the subcellular localization for the explosion of newly found proteins. However, many well-known prediction methods based on amino acid composition have problems utilizing the sequence-order information. Here, based on the concept of Chou's pseudo amino acid composition (PseAA), a new feature extraction method, the multi-scale energy (MSE) approach, is introduced to incorporate the sequence-order information. First, a protein sequence was mapped to a digital signal using the amino acid index. Then, by wavelet transform, the mapped signal was broken down into several scales in which the energy factors were calculated and further formed into an MSE feature vector. Following this, combining this MSE feature vector with amino acid composition (AA), we constructed a series of MSEPseAA feature vectors to represent the protein subcellular localization sequences. Finally, according to a new kind of normalization approach, the MSEPseAA feature vectors were normalized to form the improved MSEPseAA vectors, named as IEPseAA. Using the technique of IEPseAA, C-support vector machine (C-SVM) and three multi-class SVMs strategies, quite promising results were obtained, indicating that MSE is quite effective in reflecting the sequence-order effects and might become a useful tool for predicting the other attributes of proteins as well.