Resolution and characterisation of multiple isoforms of bovine kappa-casein by 2-DE following a reversible cysteine-tagging enrichment strategy

Visualisation of multiple isoforms of kappa-casein on 2-D gels is restricted by the abundant alpha- and beta-caseins that not only limit gel loading but also migrate to similar regions as the more acidic kappa-casein isoforms. To overcome this problem, we took advantage of the absence of cysteine residues in alpha(S1)- and beta-casein by devising an affinity enrichment procedure based on reversible biotinylation of cysteine residues. Affinity capture of cysteine-containing proteins on avidin allowed the removal of the vast majority of alpha(S1)- and beta-casein, and on subsequent 2-D gel analysis 16 gel spots were identified as kappa-casein by PMF. Further analysis of the C-terminal tryptic peptide along with structural predictions based on mobility on the 2-D gel allowed us to assign identities to each spot in terms of genetic variant (A or B), phosphorylation status (1, 2 or 3) and glycosylation status (from 0 to 6). Eight isoforms of the A and B variants with the same PTMs were observed. When the casein fraction of milk from a single cow, homozygous for the B variant of kappa-casein, was used as the starting material, 17 isoforms from 13 gel spots were characterised. Analysis of isoforms of low abundance proved challenging due to the low amount of material that could be extracted from the gels as well as the lability of the PTMs during MS analysis. However, we were able to identify a previously unrecognised site, T(166), that could be phosphorylated or glycosylated. Despite many decades of analysis of milk proteins, the reasons for this high level of heterogeneity are still not clear.     

Discovering amino acid patterns on binding sites in protein complexes

Discovering amino acid (AA) patterns on protein binding sites has recently become popular. We propose a method to discover the association relationship among AAs on binding sites. Such knowledge of binding sites is very helpful in predicting protein-protein interactions. In this paper, we focus on protein complexes which have protein-protein recognition. The association rule mining technique is used to discover geographically adjacent amino acids on a binding site of a protein complex. When mining, instead of treating all AAs of binding sites as a transaction, we geographically partition AAs of binding sites in a protein complex. AAs in a partition are treated as a transaction. For the partition process, AAs on a binding site are projected from three-dimensional to two-dimensional. And then, assisted with a circular grid, AAs on the binding site are placed into grid cells. A circular grid has ten rings: a central ring, the second ring with 6 sectors, the third ring with 12 sectors, and later rings are added to four sectors in order. As for the radius of each ring, we examined the complexes and found that 10Å is a suitable range, which can be set by the user. After placing these recognition complexes on the circular grid, we obtain mining records (i.e. transactions) from each sector. A sector is regarded as a record. Finally, we use the association rule to mine these records for frequent AA patterns. If the support of an AA pattern is larger than the predetermined minimum support (i.e. threshold), it is called a frequent pattern. With these discovered patterns, we offer the biologists a novel point of view, which will improve the prediction accuracy of protein-protein recognition. In our experiments, we produced the AA patterns by data mining. As a result, we found that arginine (arg) most frequently appears on the binding sites of two proteins in the recognition protein complexes, while cysteine (cys) appears the fewest. In addition, if we discriminate the shape of binding sites between concave and convex further, we discover that patterns {arg, glu, asp} and {arg, ser, asp} on the concave shape of binding sites in a protein more frequently (i.e. higher probability) make contact with {lys} or {arg} on the convex shape of binding sites in another protein. Thus, we can confidently achieve a rate of at least 78%. On the other hand {val, gly, lys} on the convex surface of binding sites in proteins is more frequently in contact with {asp} on the concave site of another protein, and the confidence achieved is over 81%. Applying data mining in biology can reveal more facts that may otherwise be ignored or not easily discovered by the naked eye. Furthermore, we can discover more relationships among AAs on binding sites by appropriately rotating these residues on binding sites from a three-dimension to two-dimension perspective. We designed a circular grid to deposit the data, which total to 463 records consisting of AAs. Then we used the association rules to mine these records for discovering relationships. The proposed method in this paper provides an insight into the characteristics of binding sites for recognition complexes.     

一种优化的生物数据多层关联规则挖掘算法

关联规则挖掘技术是寻找基因间关系的有效手段,但现有算法未针对高通量生物数据的特点进行优化,而存在着效率低下等缺点。提出的MAGO-FP算法,使用Gene Ontology(GO)的概念分层结构,通过对FP-Growth算法的扩展,具有一定的性能优势。在此基础上,应用该算法分析了一组由S.cerevisiae酵母菌cDNA微阵列芯片产生的实验数据,发现了一些候选关联规则。并针对其中一些重要的关联规则,通过相关文献证实了其真实性,表明该算法在基因表达分析等研究中具有应用价值。     

蛋白质翻译后修饰研究进展

翻译后修饰在蛋白质加工、成熟的过程中发挥着重要的作用,它可以改变蛋白质的物理、化学性质,影响蛋白质的空间构象、立体位阻及其稳定性,进而对蛋白质的生物学活性产生作用,引起蛋白质的功能改变。修饰基团自身的结构特性对蛋白质的性质、功能也会产生深远的影响。在已有的研究基础上,综述蛋白质翻译后修饰的主要类型以及各修饰作用潜在的生物学功能。     

N-Glycosylation Regulates ADAM8 Processing and Activation

The transmembrane ADAM8 (A Disintegrin And Metalloproteinase 8) protein is abundantly expressed in human breast tumors and derived metastases compared with normal breast tissue, and plays critical roles in aggressive Triple-Negative breast cancers (TNBCs). During ADAM8 maturation, the inactive proform dimerizes or multimerizes and autocatalytically removes the prodomain leading to the formation of the active, processed form. ADAM8 is a glycoprotein; however, little was known about the structure or functional role of these sugar moieties. Here, we report that in estrogen receptor (ER)α-negative, but not -positive, breast cancer cells ADAM8 contains N-glycosylation, which is required for its correct processing and activation. Consistently ADAM8 dimers were detected on the surface of ERα-negative breast cancer cells but not on ERα-positive ones. Site-directed mutagenesis confirmed four N-glycosylazhytion sites (Asn-67, Asn-91, Asn-436, and Asn-612) in human ADAM8. The Asn-67 and Asn-91 prodomain sites contained high mannose, whereas complex type N-glycosylation was observed on Asn-436 and Asn-612 in the active and remnant forms. The Asn-91 and Asn-612 sites were essential for its correct processing and cell surface localization, in particular its exit from the Golgi and endoplasmic reticulum, respectively. The N436Q mutation led to decreased ADAM8 stability due to enhanced lysosomal degradation. In contrast, mutation of the Asn-67 site had only modest effects on enzyme stability and processing. Thus, N-glycosylation is essential for processing, localization, stability, and activity of ADAM8.     

基于数据挖掘技术的耳穴压豆治疗失眠的选穴规律研究

摘要 目的：运用数据挖掘技术探讨耳穴压豆治疗失眠的选穴规律,为失眠的辨证论治提供新思路。方法：计算机检索中国知网、维普、万方数据库关于耳穴压豆或耳穴压豆结合其它干预措施治疗失眠的临床研究文献,筛选符合纳入标准的文献,建立Excel表格对耳穴压豆信息进行提取,对耳穴的证型、使用频次、耳穴组合和相关性等方面进行挖掘和可视化分析。结果：筛选出耳穴压豆治疗失眠相关文献1232篇,耳穴共86个。失眠辨证分型以虚症为主,其中以心脾两虚为主要证型,其次为心肾不交。耳穴压豆治疗失眠频次最高的穴位依次为神门(96.27%)、心(78.90%)、皮质下(73.70%)、交感(57.22%)、肾(42.69%)、内分泌(32.55%)。耳穴压豆的关联规则结果显示,治疗失眠关联度最高的为神门与心,配伍以神门-心-皮质下最为常见,其中核心耳穴组合为神门、心、皮质下和交感。结论：在研究方法上,引入Cytosccape软件和R语言作为工具,拓宽了耳穴处方的数据挖掘思路;通过数据挖掘分析揭示了耳穴压豆治疗失眠的取穴特点、用穴规律和穴位配伍组合,为临床优化耳穴处方、提高疗效提供指导和启示。     

Substrate Specificity of Cytoplasmic N-Glycosyltransferase

N-Linked protein glycosylation is a very common post-translational modification that can be found in all kingdoms of life. The classical, highly conserved pathway entails the assembly of a lipid-linked oligosaccharide and its transfer to an asparagine residue in the sequon NX(S/T) of a secreted protein by the integral membrane protein oligosaccharyltransferase. A few species in the class of γ-proteobacteria encode a cytoplasmic N-glycosylation system mediated by a soluble N-glycosyltransferase (NGT). This enzyme uses nucleotide-activated sugars to modify asparagine residues with single monosaccharides. As these enzymes are not related to oligosaccharyltransferase, NGTs constitute a novel class of N-glycosylation catalyzing enzymes. To characterize the NGT-catalyzed reaction, we developed a sensitive and quantitative in vitro assay based on HPLC separation and quantification of fluorescently labeled substrate peptides. With this assay we were able to directly quantify glycopeptide formation by Actinobacillus pleuropneumoniae NGT and determine its substrate specificities: NGT turns over a number of different sugar donor substrates and allows for activation by both UDP and GDP. Quantitative analysis of peptide substrate turnover demonstrated a strikingly similar specificity as the classical, oligosaccharyltransferase-catalyzed N-glycosylation, with NX(S/T) sequons being the optimal NGT substrates.     

Tuning the conformation properties of a peptide by glycosylation and phosphorylation

We have deployed the alpha-helical hairpin peptide (alpha-helix/turn/alpha-helix) and used it as a model system to explore how glycosylation and phosphorylation might affect the conformational properties of the peptide. The native conformations of the modified peptides in buffer solution have been compared with that of the wild-type peptide by nuclear magnetic resonance spectroscopy. Circular dichroism spectroscopy was used to probe the effects of an O-linked beta-GlcNAc and a phosphate group on the overall folding stability of the peptide. Finally, the rate of fibrillogenesis was used to infer the effects of these chemical modifications on the alpha-to-beta transition as well as the rate of nucleation of amyloidogenesis.     

Posttranslational Processing of Proenkephalin in SK-N-MC Cells: Evidence for Phosphorylation

SK-N-MC cells have recently been shown to be a rich source of proenkephalin and/or the proenkephalin-derived peptide, peptide B. We have investigated the synthesis and the posttranslational processing of proenkephalin in these cells. SK-N-MC cells retain very little of the proenkephalin synthesized; greater than 99% of the immunoreactive enkephalin synthesized within a 48-h period is secreted into the medium rather than contained intracellularly. When medium samples were subjected to gel filtration and assayed for the various enkephalins present within proenkephalin, only two major molecular-weight classes of peptides, with molecular weights and immunoreactive profiles consistent with those of proenkephalin and the 3.6-kDa carboxyl-terminal fragment peptide B, were observed. The proenkephalin-like peptide present in medium samples was shown by western blot procedures to consist of a 32-kDa protein with a slight amount of a higher-molecular-weight immunoreactive component above it. Only proenkephalin-sized peptides were present within cell extracts. Radiolabeled proenkephalin added to cell cultures was also cleaved to products similarly sized to those found in medium extracts; radiolabeled proenkephalin incubated in the absence of cells was not cleaved. Cleavage of exogenous proenkephalin thus probably at least partially occurs following secretion. Cell radiolabeling experiments with [32P]orthophosphate demonstrated that SK-N-MC proenkephalin is phosphorylated. Microheterogeneity of proenkephalin was also observed using isoelectric focusing coupled with western blotting. Our results suggest that the SK-N-MC cell line represents a useful model to study the earliest steps of the posttranslational processing of human proenkephalin in a neuronal cell type.     

基于关联规则与熵聚类的安神类中成药组方规律研究

目的：分析常用安神类中成药的处方用药规律。方法：收集《新编国家中成药》中的安神类药品处方,基于中医传承辅助系统建立处方数据库,采用关联规则apriori算法、复杂系统熵聚类等方法开展研究,确定处方中各种药物的使用频次及药物之间的关联规则等。结果：高频次药物包括茯苓、甘草、当归、麦冬、朱砂等;高频次药物组合包括“当归、茯苓”“茯苓、炒酸枣仁”“甘草、茯苓”等;置信度较高的关联规则包括“牛黄、朱砂”“酸枣仁、茯苓”等,新处方包括“茯苓、炒酸枣仁、熟地黄、五味子、丹参、麦冬、生地黄”等。结论：安神类中成药处方药物多具有养血定志,补气滋阴和重镇安神之功效。     

PTMD: A Database of Human Disease-associated Post-translational Modifications

Various posttranslational modifications(PTMs) participate in nearly all aspects of biological processes by regulating protein functions, and aberrant states of PTMs are frequently implicated in human diseases. Therefore, an integral resource of PTM–disease associations(PDAs)would be a great help for both academic research and clinical use. In this work, we reported PTMD,a well-curated database containing PTMs that are associated with human diseases. We manually collected 1950 known PDAs in 749 proteins for 23 types of PTMs and 275 types of diseases from the literature. Database analyses show that phosphorylation has the largest number of disease associations, whereas neurologic diseases have the largest number of PTM associations. We classified all known PDAs into six classes according to the PTM status in diseases and demonstrated that the upregulation and presence of PTM events account for a predominant proportion of diseaseassociated PTM events. By reconstructing a disease–gene network, we observed that breast cancershave the largest number of associated PTMs and AKT1 has the largest number of PTMs connected to diseases. Finally, the PTMD database was developed with detailed annotations and can be a useful resource for further analyzing the relations between PTMs and human diseases. PTMD is freely accessible at http://ptmd.biocuckoo.org.     

Mechanisms of Membrane Binding of Small GTPase K-Ras4B Farnesylated Hypervariable Region

K-Ras4B belongs to a family of small GTPases that regulates cell growth, differentiation and survival. K-ras is frequently mutated in cancer. K-Ras4B association with the plasma membrane through its farnesylated and positively charged C-terminal hypervariable region (HVR) is critical to its oncogenic function. However, the structural mechanisms of membrane association are not fully understood. Here, using confocal microscopy, surface plasmon resonance, and molecular dynamics simulations, we observed that K-Ras4B can be distributed in rigid and loosely packed membrane domains. Its membrane binding domain interaction with phospholipids is driven by membrane fluidity. The farnesyl group spontaneously inserts into the disordered lipid microdomains, whereas the rigid microdomains restrict the farnesyl group penetration. We speculate that the resulting farnesyl protrusion toward the cell interior allows oligomerization of the K-Ras4B membrane binding domain in rigid microdomains. Unlike other Ras isoforms, K-Ras4B HVR contains a single farnesyl modification and positively charged polylysine sequence. The high positive charge not only modulates specific HVR binding to anionic phospholipids but farnesyl membrane orientation. Phosphorylation of Ser-181 prohibits spontaneous farnesyl membrane insertion. The mechanism illuminates the roles of HVR modifications in K-Ras4B targeting microdomains of the plasma membrane and suggests an additional function for HVR in regulation of Ras signaling.     

The ldb1 mutant of Saccharomyces cerevisiae is defective in Pmr1p,the yeast secretory pathway/Golgi Ca(2+)/Mn(2+)-ATPase

The LDB1 gene of Saccharomyces cerevisiae was identified by complementation of the ldb1 mutant phenotype with a genomic library. We found that the ldb1 defect is complemented by PMR1 which codes for the yeast secretory pathway/Golgi Ca(2+)/Mn(2+)-ATPase. Besides that, the analysis of a null mutation of the PMR1 gene revealed a phenotype identical to that of ldb1 mutant. Thus, LDB1 must be considered a synonym of PMR1.