Using pseudo-amino acid composition and support vector machine to predict protein structural class

As a result of genome and other sequencing projects, the gap between the number of known protein sequences and the number of known protein structural classes is widening rapidly. In order to narrow this gap, it is vitally important to develop a computational prediction method for fast and accurately determining the protein structural class. In this paper, a novel predictor is developed for predicting protein structural class. It is featured by employing a support vector machine learning system and using a different pseudo-amino acid composition (PseAA), which was introduced to, to some extent, take into account the sequence-order effects to represent protein samples. As a demonstration, the jackknife cross-validation test was performed on a working dataset that contains 204 non-homologous proteins. The predicted results are very encouraging, indicating that the current predictor featured with the PseAA may play an important complementary role to the elegant covariant discriminant predictor and other existing algorithms.     

Expression of Oct4 in HCC and modulation to wnt/β-catenin and TGF-β signal pathways

Hepatocellular carcinoma (HCC) is considered as a disease of dysfunction of the stem cells. Studies on stem cells have demonstrated that Oct4 plays a pivotal role in embryo regulation. In order to understand the role of Oct4 in HCC and the relationship among Oct4 and wnt/β-catenin and TGF-β signal pathways, we have detected the expression of Oct4, Nanog, Sox2, STAT3 as well as the genes in wnt/β-catenin, and TGF-β families in HCC cell lines and in tumor specimens from HCC patients. The authors found that Oct4 was expressed in all of the four HCC cell lines and the tumor specimens from HCC patients. Some other genes were also expressed in them with different level including Nanog, Sox2, STAT3 and TCF3, wnt10b, β-catenin, ELF, Smad3 and Smad4. The ability of the clone formation and migration of the HepG2 decreased after Oct4 was knockdowned. Silencing of Oct4 and TCF3 in HCC cell line HepG2 revealed that there were complicated relationships among Oct4, wnt/β-catenin family and TGF-β family genes. Knockdowning Oct4 reduced the expression of TGF-β family genes ELF, Smad3, Smad4 and wnt/β-catenin family genes, wnt10b, and β-catenin but increased TCF3. In reverse, knockdowning TCF3 led to the increased expression of Oct4 and TGF-β family genes. In conclusion, the expression of Oct4 in HCC may play an important role as in stem cell. Because Oct4 improves not only the function of wnt/β-catenin, but also the TGF-β signal pathways, the significance of its expression in HCC might be more complicated than we evinced before.     

Identification and characterization of FHL3 as a novel angiogenin-binding partner

Angiogenin (Ang) is known to induce cell proliferation and inhibit apoptosis by cellular signaling pathways and by direct nuclear functions of Ang, but the mechanism of action for Ang is not yet clear. The aim of present study was to identify novel binding partner of Ang and to explore the underlying mechanism. With the use of yeast two-hybrid screening system, Ang was used as the bait to screen human fetal hepatic cDNA library for interacting proteins. Four and a half LIM domains 3 (FHL3) was identified as a novel Ang binding partner. The interaction between Ang and the full length FHL3 was further confirmed by yeast two-hybrid assay, co-immunoprecipitation and GST pull-down assays. Furthermore, FHL3 was required for Ang-mediated HeLa cell proliferation and nuclear translocation of Ang. These findings suggest that the interaction between Ang and FHL3 may provide some clues to the mechanisms of Ang-regulated cell growth and apoptosis.     

L1 cell adhesion molecule overexpression in hepatocellular carcinoma associates with advanced tumor progression and poor patient survival

ABSTRACT: OBJECTIVE: L1 cell adhesion molecule (L1CAM), as a member of the immunoglobulin superfamily, has recently been observed in a variety of human malignancies. However, no data of L1CAM are available for hepatocellular carcinoma (HCC). The aim of this study was to investigate the expression of L1CAM in HCC and determine its correlation with tumor progression and prognosis. METHODS: One-hundred and thirty HCC patients who had undergone curative liver resection were selected and immunohistochemistry, Western blotting, and quantitative real time polymerase chain reaction (Q-PCR) were performed to analyze L1CAM expression in the respective tumors. RESULTS: Immunohistochemistry, Western blotting, and Q-PCR consistently confirmed the overexpression of L1CAM in HCC tissues compared with their adjacent nonneoplastic tissues at both protein and gene level (both P <0.01). Additionally, the high expression of L1CAM was significantly associated with advanced tumor stage (P = 0.02) and advanced tumor grade (P = 0.03), respectively. Moreover, HCC patients with high L1CAM expression were significantly associated with lower 5-year overall survival (P <0.01) and lower 5-year disease-free survival (P <0.01), respectively. The Cox proportional hazards model further showed that L1CAM over-expression was an independent poor prognostic factor for both 5-year disease-free survival (P = 0.02) and 5-year overall survival (P = 0.008) in HCC. CONCLUSION: Our data suggest for the first time that L1CAM expression in HCC was significantly correlated with the advanced tumor progression and was an independent poor prognostic factor for both overall survival and disease-free survival in patients with HCC.Virtual slidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1970024872761542.     

蛋白质组学关键技术及其在茶树研究中的应用

蛋白质组学是后基因组时代的研究热点,相对于基因组学来说,能更直接、更准确的解释生命现象。对蛋白质组学关键技术如双向凝胶电泳、生物质谱、蛋白质芯片、生物信息学等及其在茶树上的应用作一介绍。     

响应面法优化类芽胞杆菌HB172198产褐藻胶裂解酶发酵培养基

为了提高类芽胞杆菌新种HB172198产褐藻胶裂解酶活力,本研究采用响应面法对该菌株液体发酵培养基进行了优化实验。在单因素实验和Plackett-Burman试验筛选出海藻酸钠、胰蛋白胨、NaCl、MgSO4·7H2O等4个显著影响产酶因素的基础上,通过Box-Behnken设计及响应面法进行回归分析,得出产褐藻胶裂解酶最佳发酵培养基,其成分为:海藻酸钠7.50 g/L、胰蛋白胨13.57 g/L、NaCl 29.75 g/L、MgSO4·7H2O 0.08 g/L。优化条件下该菌株最大酶活性达14.60 U/mL,是优化前的1.87倍。本研究为菌株HB172198产褐藻胶裂解酶的大规模生产和工业应用提供了重要的理论依据。     

Telomere Biology and Cellular Aging in Nonhuman Primate Cells

To determine how cellular aging is conserved among primates, we analyzed the replicative potential and telomere shortening in skin fibroblasts of anthropoids and prosimians. The average telomere length of the New World primates Ateles geoffroyi (spider monkey) and Saimiri sciureus (squirrel monkey) and the Old World primates Macaca mulatta (rhesus monkey), Pongo pygmaeus (orangutan), and Pan paniscus (pigmy chimpanzee) ranged from 4 to 16 kb. We found that telomere shortening limits the replicative capacity of anthropoid fibroblasts and that the expression of human telomerase produced telomere elongation and the extension of their in vitro life span. In contrast the prosimian Lemur catta (ring-tailed lemur) had both long and short telomeres and telomere shortening did not provide an absolute barrier to immortalization. Following a transient growth arrest a subset of cells showing a reduced number of chromosomes overgrew the cultures without activation of telomerase. Here we show that the presence of continuous TTAGGG repeats at telomeres and rigorous control of replicative aging by telomere shortening appear to be conserved among anthropoid primates but is less effective in prosimian lemurs.     

Selection of proteins with desired properties from natural proteome libraries using mRNA display

mRNA display is a powerful yet challenging in vitro selection technique that can be used to identify proteins with desired properties from both natural proteome and combinatorial polypeptide libraries. The physical conjugation between a protein and its own RNA presents unique challenges in manipulating the displayed proteins at a low nanomolar scale in an RNase-free environment. The following protocol outlines the generation of cDNA libraries derived from natural organisms as well as the steps required for generation of mRNA-protein fusion molecules, in vitro functional selection and regeneration of the selected cDNA library. The selection procedures for the identification of protease substrates and Ca(2+)-dependent calmodulin-binding proteins from natural cDNA libraries are presented as examples. The method can be generally applied to the identification of protein sequences with desired properties from various natural proteome libraries. One round of mRNA display-based selection can be accomplished in ~7 d.     

Comprehensive peptidome analysis of mouse livers by size exclusion chromatography prefractionation and nanoLC-MS/MS identification

Peptidome analysis has received increasing attention in recent years. Cancer diagnosis by serum peptidome has also been reported by peptides' profiling for discovery of peptide biomarkers. Tissue, which may have a higher biomarker concentration than blood, has not been investigated extensively by means of peptidome analysis. Here, a method for the peptidome analysis of mouse liver was developed by the combination of size exclusion chromatography (SEC) prefractionation with nano-liquid chromatography-tamdem mass spectrometry (nanoLC-MS/MS) analysis. The extracted peptides from mouse liver were separated according to their molecular weight using a size exclusion column. MALDI-TOF MS was used to characterize the molecular weight distribution of the peptides in fractions eluted from the SEC column. The low molecular weight (LMW) (MW < 3000 Da) peptides in the collected fractions were directly analyzed by LC-MS/MS which resulted in the identification of 1181 unique peptides (from 371 proteins). The high molecular weight (HMW) (MW > 3000 Da) peptides in the early two fractions from the SEC column were first digested with trypsin, and the resulted digests were then analyzed by LC-MS/MS, which led to the identification of 123 and 127 progenitor proteins of the HMW peptides in fractions 1 and 2, respectively. Analysis of the peptides' cleavage sites showed that the peptides are cleaved in regulation, which may reflect the protease activity and distribution in body, and also represent the biological state of the tissue and provide a fresh source for biomarker discovery.