The purification and characterization of glutaryl-coenzyme A dehydrogenase from porcine and human liver

Glutaryl-CoA dehydrogenase, a multifunctional enzyme responsible for dehydrogenation and decarboxylation of glutaryl-CoA to crotonyl-CoA, has been purified 1,680-fold from porcine liver mitochondria. The purified porcine enzyme has a subunit molecular weight of 47,800 and a native molecular weight of 190,500. Porcine glutaryl-CoA dehydrogenase catalyzed the conversion of [1,5-14C]glutaryl-CoA to [14C] crotonyl-CoA and 14CO2 in a 1:1:1 ratio. The porcine enzyme has Km values for electron transfer flavoprotein and glutaryl-CoA of 1.1 and 3.3 microM, respectively, and turnover numbers of 860 mol of electron transfer flavoprotein/min/mol of glutaryl-CoA dehydrogenase and 327 mol of glutaryl-CoA/min/mol of glutaryl-CoA dehydrogenase. Human glutaryl-CoA dehydrogenase has been purified 1,278-fold from human liver mitochondria. The purified human enzyme has a subunit molecular weight of 58,800 and a native molecular weight of 256,000. Human glutaryl-CoA dehydrogenase showed a reaction of only partial identity when compared to porcine glutaryl-CoA dehydrogenase by Ouchterlony double immunodiffusion analysis using antiserum raised against and monospecific for porcine glutaryl-CoA dehydrogenase.     

Natural genetic variation in Arabidopsis: tools, traits and prospects for evolutionary ecology

BACKGROUND: The model plant Arabidopsis thaliana (Arabidopsis) shows a wide range of genetic and trait variation among wild accessions. Because of its unparalleled biological and genomic resources, the potential of Arabidopsis for molecular genetic analysis of this natural variation has increased dramatically in recent years. SCOPE: Advanced genomics has accelerated molecular phylogenetic analysis and gene identification by quantitative trait loci (QTL) mapping and/or association mapping in Arabidopsis. In particular, QTL mapping utilizing natural accessions is now becoming a major strategy of gene isolation, offering an alternative to artificial mutant lines. Furthermore, the genomic information is used by researchers to uncover the signature of natural selection acting on the genes that contribute to phenotypic variation. The evolutionary significance of such genes has been evaluated in traits such as disease resistance and flowering time. However, although molecular hallmarks of selection have been found for the genes in question, a corresponding ecological scenario of adaptive evolution has been difficult to prove. Ecological strategies, including reciprocal transplant experiments and competition experiments, and utilizing near-isogenic lines of alleles of interest will be a powerful tool to measure the relative fitness of phenotypic and/or allelic variants. CONCLUSIONS: As the plant model organism, Arabidopsis provides a wealth of molecular background information for evolutionary genetics. Because genetic diversity between and within Arabidopsis populations is much higher than anticipated, combining this background information with ecological approaches might well establish Arabidopsis as a model organism for plant evolutionary ecology.     

Increased Expression of Phosphatidylcholine (16:0/18:1) and (16:0/18:2) in Thyroid Papillary Cancer

A good prognosis can be expected for most, but not all, cases of thyroid papillary cancer. Numerous molecular studies have demonstrated beneficial treatment and prognostic factors in various molecular markers. Whereas most previous reports have focused on genomics and proteomics, few have focused on lipidomics. With the advent of mass spectrometry (MS), it has become possible to identify many types of molecules, and this analytical tool has become critical in the field of omics. Recently, imaging mass spectrometry (IMS) was developed. After a simple pretreatment process, IMS can be used to examine tissue sections on glass slides with location information.Here, we conducted an IMS analysis of seven cases of thyroid papillary cancer by comparison of cancerous with normal tissues, focusing on the distribution of phospholipids. We identified that phosphatidylcholine (16:0/18:1) and (16:0/18:2) and sphingomyelin (d18:0/16:1) are significantly higher in thyroid papillary cancer than in normal thyroid tissue as determined by tandem mass (MS/MS) analysis. These distributional differences may be associated with the biological behavior of thyroid papillary cancer.     

Molecular dynamics insights for PI3K-δ inhibition & structure guided identification of novel PI3K-δ inhibitors

Conjugated structure based and ligand based drug design techinques have been used previously to unearth putative binding ligands for kinase inhibition. PI3K-δ is a lipid kinase and it has been found abberant in diseases such as cancer,inflammation etc. Preliminarily, protein crystal structure analysis suggest avaibility of two crystal structures with varying degree of root mean square de throughtion in protein back bone and root mean square fluctuation in side chain geometry. Therefore, PI3K-δ crystal structure was selected based on charactristic reciever operating characterstic curve and % enrichment of actives analysis. Active site analysis through molecular dynamics simulations provided insights about four residues Ile910, Asp911, Met752, Lys755, which act as flap. These residues fecilitate ligand binding in a unique manner.Thereafter, a validated designed protocol has been used to screen asinex ligand database using molecular docking and binding energy calculations. Based on binding affinity & energy scores and interaction pattern analysis total top 50 ligands were selected for PI3K-δ inhibition studies. Moreover, two molecules ethyl 2-(2-((4-chloro-1-methyl-1H-pyrazole-3-carbonyl) oxy)acetamido) benzo[1]thiazole-6-carboxylate and 1,6,7-trimethyl-8-((tetrahydrofuran-2-yl) methyl)-1H-imidazo [1',2':1,5] pyrrolo[3,2-d]pyrimidine-2,4(3H,8H)-dione have been identified, which could be potential hits for PI3K-δ using insights provided by molecular modelling studies. The identified compunds were subjected to pan assay interference compound filter and were found to be compliant. Quantum mechanical calculations were perfromed for identified hits. The above strategy could be implemented as a strategy for rational drug design.

Communicated by Ramaswamy H. Sarma     

BALL--rapid software prototyping in computational molecular biology. Biochemicals Algorithms Library

MOTIVATION: Rapid software prototyping can significantly reduce development times in the field of computational molecular biology and molecular modeling. Biochemical Algorithms Library (BALL) is an application framework in C++ that has been specifically designed for this purpose. RESULTS: BALL provides an extensive set of data structures as well as classes for molecular mechanics, advanced solvation methods, comparison and analysis of protein structures, file import/export, and visualization. BALL has been carefully designed to be robust, easy to use, and open to extensions. Especially its extensibility which results from an object-oriented and generic programming approach distinguishes it from other software packages. BALL is well suited to serve as a public repository for reliable data structures and algorithms. We show in an example that the implementation of complex methods is greatly simplified when using the data structures and functionality provided by BALL.     

Hepatocarcinogen quinoline induces G:C to C:G transversions in the cII gene in the liver of lambda/lacZ transgenic mice (MutaMouse)

Quinoline is carcinogenic to the liver in rodents, but it is not clear whether it acts by a genotoxic mechanism. We previously demonstrated that quinoline does induce gene mutation in the liver of lambda/lacZ transgenic mice. In the present report, we reveal the molecular nature of the mutations induced by quinoline in the lambda cII gene, which is also a phenotypically selectable marker in the lambda transgene. (The cII gene has 294bp, which enables much easier sequence analysis than the original lacZ gene (3kb)). The liver cII mutant frequency was nine times higher in quinoline-treated mice than in control mice. Sequence analysis revealed that quinoline induced primarily G:C to C:G transversions (25 of 34). Thus, we have confirmed that quinoline is genotoxic in its target organ, and the G:C to C:G transversion is the molecular signature of quinoline-induced mutations.     

十字花科植物PEBP基因家族的分子进化

近年来植物基因组测序物种数量的指数增长, 为我们对植物环境适应性状的遗传和变异的全面理解提供了保障。磷脂酰乙醇胺结合蛋白(phosphatidylethanolamine-binding protein, PEBP)在植物的开花转变和株型建立中起着重要作用, 一直是植物生物学研究关注的热点领域之一。然而对该家族并没有利用新近测序的基因组数据进行比较基因组分析, 制约了对其在分子水平上的进化研究。为了确定PEBP基因家族的分子进化机制, 本研究利用生物信息学方法开展了7种十字花科植物拟南芥(Arabidopsis thaliana)、琴叶拟南芥(A. lyrata)、小鼠耳芥(A. pumila)、亚麻荠(Camelina sativa)、甘蓝(Brassica oleracea)、白菜(B. rapa)和油菜(B. napus)的PEBP基因家族成员的全基因组鉴定、结构特征和比较进化分析。从7个物种中共鉴定出91个PEBP基因, 系统进化分析表明它们分属5个亚家族: MFT、FT/TSF、TFL1、CEN和BFT。基因结构分析发现甘蓝、白菜和油菜的CEN基因内含子明显比其余4个物种的内含子长。蛋白结构域分析表明MFT比其他4个亚家族成员少了一个motif 2, TFL1比其他亚家族多了motif 8。选择压力分析发现7个物种PEBP同源基因均受到较强的纯化选择, 其中TFL1亚家族受到的纯化选择最弱。共线性分析表明十字花科植物PEBP基因家族随古代多倍体事件发生不同程度的扩张, TSF在甘蓝、白菜和油菜中丢失。非生物胁迫下, 在拟南芥中过量表达小鼠耳芥的一个MFT基因, 转基因拟南芥种子的萌发率明显低于野生型, 暗示MFT基因在调控种子萌发上的功能保守。本研究为深入研究十字花科植物PEBP基因的进化特征和生物学功能奠定了基础。     

Investigation of intermolecular interactions and stability of verubecestat in the active site of BACE1: Development of first model from QM/MM-based charge density and MD analysis

Alzheimer disease (AD) is a cruel neurodegenerative disorder caused by the deposition of amyloid β (Aβ) peptide inside the brain. The β-secretase (beta amyloid precursor protein (APP) cleaving enzyme 1, BACE1) is one of the enzymes involved in the cleavage of APP that leads to the Aβ formation and it is the primary target for the treatment of AD. Recent report outlines that verubecestat molecule strongly inhibits BACE1; however, its structure, binding mechanism and the stability in the active site of BACE1 are not yet known. The present study aims to determine the structure, binding affinity and the stability of verubecestat molecule in the active site of BACE1 from the molecular docking, quantum mechanics/molecular mechanics (QM/MM)-based charge density analysis and molecular dynamics simulation. Verubecestat molecule was docked at BACE1; it shows high binding affinity towards BACE1. Further, the conformational geometry and the intermolecular interactions of verubecestat in the active site of BACE1 were determined. The molecule forms strong interaction with the neighboring amino acids in the active site of BACE1. The onsite QM/MM-based charge density analysis reveals the nature of charge density distribution and the topological properties of intermolecular interactions of verubecestat molecule in the active site of BACE1. The calculated electrostatic potential (ESP) of verubecestat in the active site of BACE1 displays high negative and positive ESP regions of the molecule. This onsite QM/MM analysis is more relevant to the physiological situation. The molecular dynamics simulation has been performed, which confirms the high stability and compactness of verubecestat in the active site of BACE1. The MM-generalized Born surface area and MM-Poisson Boltzmann surface area free energy calculations of verubecestat–BACE1 also confirm the high binding affinity of verubecestat.

Communicated by Ramaswamy H. Sarma     

Boolean network analysis of a neurotransmitter signaling pathway

BACKGROUND: A Boolean network is a simple computational model that may provide insight into the overall behavior of genetic networks and is represented by variables with two possible states (on/off), of the individual nodes/genes of the network. In this study, a Boolean network model has been used to simulate a molecular pathway between two neurotransmitter receptor, dopamine and glutamate receptor, systems in order to understand the consequence of using logic gate rules between nodes, which have two possible states (active and inactive). RESULTS: The dynamical properties of this Boolean network model of the biochemical pathway shows that, the pathway is stable and that, deletion/knockout of certain biologically important nodes cause significant perturbation to this network. The analysis clearly shows that in addition to the expected components dopamine and dopamine receptor 2 (DRD2), Ca(2+) ions play a critical role in maintaining stability of the pathway. CONCLUSION: So this method may be useful for the identification of potential genetic targets, whose loss of function in biochemical pathways may be responsible for disease onset. The molecular pathway considered in this study has been implicated with a complex disorder like schizophrenia, which has a complex multifactorial etiology.     

Smith‐Lemli‐Opitz syndrome in trisomy 13: How does the mix work?

BACKGROUND: Trisomy 13 and Smith-Lemli-Opitz syndrome (SLOS) are both well-recognized multiple congenital anomaly/mental retardation syndromes. CASE: In this report we describe a male newborn with trisomy 13 who also has features of SLOS, such as 2/3 toe syndactyly and a shawl-like scrotum. Biochemical analysis was consistent with SLOS, and limited molecular analysis revealed 1 mutation in the DHCR7 gene. CONCLUSIONS: The challenges in establishing the diagnosis of SLOS in this patient are presented and the unique coexistence of the 2 major malformation syndromes is discussed. Given the overlapping phenotype of the 2 syndromes, our report should encourage further research on cholesterol biosynthesis in patients with trisomy 13.     

Identifying the biologically relevant gene categories based on gene expression and biological data: an example on prostate cancer

MOTIVATION: Most gene-expression based studies aim to identify genes with the capability of distinguishing different phenotypes. Although analysis at the genomic level is important, results of the molecular/cellular level are essential for understanding biological mechanisms. To deliver molecular/cellular-level results, a two-stage scheme is widely employed. This scheme just evaluates biological processes/molecular activities individually, totally overlooking the relationship between processes/activities. This treatment conflicts with the fact that most biological processes/molecular activities do not work alone. In order to deliver improved results, this shortcoming should be addressed. RESULTS: We design a selection model from a novel perspective to directly detect important gene functional categories (each category represents a cellular process or a molecular activity). More importantly, the correlations between gene categories are considered. Contributed by this capability, the proposed method shows its advantages over others. AVAILABILITY: the source code in Matlab is accessible via http://www.ee.cityu.edu.hk/~twschow/category_selection/category_selection.htm     

Molecular hydrogen upregulates heat shock response and collagen biosynthesis,and downregulates cell cycles: meta-analyses of gene expression profiles

Molecular hydrogen exerts its effect on multiple pathologies, including oxidative stress, inflammation, and apoptosis. However, its molecular mechanisms have not been fully elucidated. In order to explore the effects of molecular hydrogen, we meta-analysed gene expression profiles modulated by molecular hydrogen. We performed microarray analysis of the mouse liver with or without drinking hydrogen water. We also integrated two previously reported microarray datasets of the rat liver into meta-analyses. We used two categories of meta-analysis methods: the cross-platform method and the conventional meta-analysis method (Fisher’s method). For each method, hydrogen-modulated pathways were analysed by (i) the hypergeometric test (HGT) in the class of over-representation analysis (ORA), (ii) the gene set enrichment analysis (GSEA) in the class of functional class scoring (FCS), and (iii) the signalling pathway impact analysis (SPIA), pathway regulation score (PRS), and others in the class of pathway topology-based approach (PTA).

Pathways in the collagen biosynthesis and the heat-shock response were up-regulated according to (a) HGT with the cross-platform method, (b) GSEA with the cross-platform method, and (c) PRS with the cross-platform method. Pathways in cell cycles were down-regulated according to (a) HGT with the cross-platform method, (b) GSEA with the cross-platform method, and (d) GSEA with the conventional meta-analysis method.

Because the heat-shock response leads to up-regulation of collagen biosynthesis and a transient arrest of cell cycles, induction of the heat-shock response is likely to be a primary event induced by molecular hydrogen in the liver of wild-type rodents.     

Analysis of sulfates on low molecular weight heparin using mass spectrometry: structural characterization of enoxaparin

Introduction: Structural characterization of low molecular weight heparin (LMWH) is critical to meet biosimilarity standards. In this context, the review focuses on structural analysis of labile sulfates attached to the side-groups of LMWH using mass spectrometry. A comprehensive review of this topic will help readers to identify key strategies for tackling the problem related to sulfate loss. At the same time, various mass spectrometry techniques are presented to facilitate compositional analysis of LMWH, mainly enoxaparin.

Areas covered: This review summarizes findings on mass spectrometry application for LMWH, including modulation of sulfates, using enzymology and sample preparation approaches. Furthermore, popular open-source software packages for automated spectral data interpretation are also discussed. Successful use of LC/MS can decipher structural composition for LMWH and help evaluate their sameness or biosimilarity with the innovator molecule. Overall, the literature has been searched using PubMed by typing various search queries such as ‘enoxaparin’, ‘mass spectrometry’, ‘low molecular weight heparin’, ‘structural characterization’, etc.

Expert commentary: This section highlights clinically relevant areas that need improvement to achieve satisfactory commercialization of LMWHs. It also primarily emphasizes the advancements in instrumentation related to mass spectrometry, and discusses building automated software for data interpretation and analysis.     

MUTYH-associated polyposis--from defect in base excision repair to clinical genetic testing

Established predisposition genes account for only a small proportion of familial colorectal cancer. Recently, it has been shown that germline mutations in MUTYH predispose to MUTYH-associated polyposis (MAP), an autosomal recessive disorder characterised by multiple colorectal adenomas and carcinomas. MUTYH functions as a base excision repair DNA glycosylase that excises adenines misincorporated opposite 8-oxo-7,8-dihydro-2'-deoxyguanosine, one of the most stable products of oxidative DNA damage. It is the failure to correct this mispair that is thought to give rise to the characteristic signature of G:C-->T:A mutations found in MAP-associated tumours. Here, we review the germline mutation spectrum at the MUTYH locus (comprising 30 truncating and 55 missense/inframe insertion/deletion variants) and the molecular mechanism and biochemical defect(s) underlying this disorder. We also discuss the application of molecular genetic analysis of MUTYH in clinical practice.     

Phylogenetic analysis of the internal transcribed spacer region of Japanese Lilium species

 The DNA from 16 Lilium species and one variety endemic to or naturalized in Japan were obtained and their internal transcribed spacer regions of nuclear ribosomal DNA (nrDNA) were amplified by PCR and sequenced by cycle sequencing. Phylogenetic analysis of the ITS sequences supported the validity of Comber’s classification system. It has also provided molecular evidence for the transfer of Lilium dauricum to sect. Sinomartagon. The phylogenetic relationships revealed by ITS DNA analysis were supported by previously published crossability data. The molecular phylogeny of Japanese Lilium species was discussed with reference to the putative migration routes of these species. Received: 30 June 1998 / Accepted: 19 October 1998     

Protein flexibility and conformational states of Leishmania antigen eIF-4A: identification of a novel plausible protein adjuvant using comparative genomics and molecular modeling

Recent homology modeling studies have identified specific residues (epitope) of the Leishmania RNA helicase protein (LmeIF) that stimulates production of IL-12 cytokine. However, question remains concerning how LmeIF’s N-terminal moiety initiates adjuvant effects. Extensive molecular modeling combining the normal mode analysis (NMA) and molecular dynamics simulations, in the present study, has demonstrated that the LmeIF structure may exist in two different forms corresponding to the extended and collapsed (closed) states of the entire structure. The computational results showed that the two domains of the LmeIF structure tend to undergo large fluctuations in a concerted fashion and have strong effect on the solvent accessible surface of the epitope situated on the N-terminal structure. The conformational freedom of the C-terminal domains may explain why the entire LmeIF protein is not as active as the N-terminal moiety. Thereafter, a comparative genome analysis with subsequent homology modeling and molecular electrostatic potential (MEP) techniques allowed us to predict a novel and plausible RNA helicase (LI-helicase) from the Listeria source with adjuvant property as observed for the Leishmania eIF-4A protein. The structural folding and MEP maps revealed similar topologies of the epitope of both LmeIF and LI-helicase proteins and striking identity in the local disposition of the charged groups.

An animated Interactive 3D Complement (I3DC) is available in Proteopedia at http://proteopedia.org/w/Journal:JBSD:7     

Molecular phylogenetic and morphological studies on the systematic position of Heracula discivitta reveal a new subfamily of Pseudobistonidae (Lepidoptera: Geometroidea)

Heracula discivitta Moore is an uncommon moth species currently recorded from India, Nepal and China. Although this species has traditionally been placed in Lymantriinae, its systematic position in Macroheterocera has been enigmatic due to its unique morphological features. Here we used molecular and morphological data to explore the systematic position of H. discivitta. Our molecular phylogenetic analyses indicate that this species is sister to Pseudobiston pinratanai Inoue, a member of a recently established monotypic family Pseudobistonidae. The examinations of morphological features further show that H. discivitta shares synapomorphies with Pseudobistonidae. Based on the analysis results, we propose a new subfamily of Pseudobistonidae (Heraculinae subfam.n. ) to accommodate H. discivitta. The resemblance of the habitus to that of the brahmaeid genus Calliprogonos Mell & Hering is discussed. This published work has been registered on ZooBank, http://zoobank.org/urn:lsid:urn:lsid:zoobank.org:pub:63D17850‐6D51‐4E03‐A5D6‐F9EF6E7AF402 .     

Molecular Docking and Dynamic Simulation to Identify α7nAChR Binding Affinity of Flavonoids for the Treatment of Alzheimer's Disease

Background : Alpha-7-nicotinic acetylcholine receptor (α7nAChR), a ligand-gated ion channel is one of the important parts of the cholinergic pathway in the brain and has a remarkable role in Alzheimer's disease (AD). It has been documented that the modulation of α7nAChR with the help of phytoconstituent can be helpful in the treatment of AD. Method : The binding efficacy of fifty flavonoids was evaluated for human α7nAChR using molecular docking. The best two flavonoids shortlisted from docking analysis were then subjected to molecular dynamic simulations for 100 ns to analyze conformational binding stability with the target protein. Further, the druggability of the selected flavonoids was checked using in silico ADMET studies. Result : The top two flavonoids selected based on binding affinity toward the binding site of α7nAChR from molecular docking were amentoflavone (–9.1 kcal/mol) and gallocatechin (–8.8 kcal/mol). The molecular dynamics simulation revealed that amentoflavone and gallocatechin have a stable state during overall simulation time, lesser root mean deviation (RMSD) and root mean square fluctuation (RMSF), and complex of both compounds with protein is stable until 100 ns. Conclusion : The two flavonoids amentoflavone and gallocatechin are potential lead molecules that could be utilized as effective agonists of α7nAChR to combat Alzheimer's disease. Future in vitro and in vivo analyses are required to confirm their effectiveness.