Compression of Large genomic datasets using COMRAD on Parallel Computing Platform

The big data storage is a challenge in a post genome era. Hence, there is a need for high performance computing solutions for managing large genomic data. Therefore, it is of interest to describe a parallel-computing approach using message-passing library for distributing the different compression stages in clusters. The genomic compression helps to reduce the on disk“foot print” of large data volumes of sequences. This supports the computational infrastructure for a more efficient archiving. The approach was shown to find utility in 21 Eukaryotic genomes using stratified sampling in this report. The method achieves an average of 6-fold disk space reduction with three times better compression time than COMRAD.

Availability

The source codes are written in C using message passing libraries and are available at https:// sourceforge.net/ projects/ comradmpi/files / COMRADMPI/     

Novel EM based ML Kalman estimation framework for superresolution of stochastic three-states microtubule signal

Background

Recent research has found that abnormal functioning of Microtubules (MTs) could be linked to fatal diseases such as Alzheimer’s. Hence, there is an imminent need to understand the implications of MTs for disease- diagnosis. However, studies of cellular processes like MTs are often constrained by physical limitations of their data acquisition systems such as optical microscopes and are vulnerable to either destruction of the specimen or the probe. In addition, study of MTs is challenged with non-uniform sampling of the MT dynamic instability phenomenon relative to its time-lapse observation of the cellular processes. Thus, the above caveats limit the overall period of time that the MT data can be collected, thereby causing limited data availability scenario.

Results

In this work, two novel superresolution frameworks based on Expectation Maximization (EM) based Maximum Likelihood (ML) estimation using Kalman filters (MLK) technique are proposed to address the issues of non-uniform sampling and limited data availability of MT signals. The proposed MLK methods optimizes prediction of missing observations in the MT signal through information extraction using correlation-based patch processing and principal component analysis -based mutual information. Experimental results prove that the proposed MLK-based superresolution methods outperformed nonlinear interpolation and compressed sensing methods.

Conclusions

This work aims to address limited data availability and data/observation loss incurred due to non-uniform sampling of biological signals such as MTs. For this purpose, statistical modelling of stochastic MT signals using EM based ML driven Kalman estimation (MLK) is considered as a fundamental framework for prediction of missing MT observations. It was experimentally validated that the proposed superresolution methods provided superior overall performance, better MT signal estimation using fewer samples, high SNR, low errors, and better MT parameter estimation than other methods.

     

An Efficient Protocol for the Agrobacterium-mediated Genetic Transformation of Microalga Chlamydomonas reinhardtii

Algal-based recombinant protein production has gained immense interest in recent years. The development of algal expression system was earlier hindered due to the lack of efficient and cost-effective transformation techniques capable of heterologous gene integration and expression. The recent development of Agrobacterium-mediated genetic transformation method is expected to be the ideal solution for these problems. We have developed an efficient protocol for the Agrobacterium-mediated genetic transformation of microalga Chlamydomonas reinhardtii. Pre-treatment of Agrobacterium in TAP induction medium (pH 5.2) containing 100 μM acetosyringone and 1 mM glycine betaine and infection of Chlamydomonas with the induced Agrobacterium greatly improved transformation frequency. This protocol was found to double the number of transgenic events on selection media compared to that of previous reports. PCR was used successfully to amplify fragments of the hpt and GUS genes from transformed cells, while Southern blot confirmed the integration of GUS gene into the genome of C. reinhardtii. RT-PCR, Northern blot and GUS histochemical analyses confirm GUS gene expression in the transgenic cell lines of Chlamydomonas. This protocol provides a quick, efficient, economical and high-frequency transformation method for microalgae.     

Assessment of the Requirements for Magnesium Transporters in Bacillus subtilis

Magnesium is the most abundant divalent metal in cells and is required for many structural and enzymatic functions. For bacteria, at least three families of proteins function as magnesium transporters. In recent years, it has been shown that a subset of these transport proteins is regulated by magnesium-responsive genetic control elements. In this study, we investigated the cellular requirements for magnesium homeostasis in the model microorganism Bacillus subtilis. Putative magnesium transporter genes were mutationally disrupted, singly and in combination, in order to assess their general importance. Mutation of only one of these genes resulted in strong dependency on supplemental extracellular magnesium. Notably, this transporter gene, mgtE, is known to be under magnesium-responsive genetic regulatory control. This suggests that the identification of magnesium-responsive genetic mechanisms may generally denote primary transport proteins for bacteria. To investigate whether B. subtilis encodes yet additional classes of transport mechanisms, suppressor strains that permitted the growth of a transporter-defective mutant were identified. Several of these strains were sequenced to determine the genetic basis of the suppressor phenotypes. None of these mutations occurred in transport protein homologues; instead, they affected housekeeping functions, such as signal recognition particle components and ATP synthase machinery. From these aggregate data, we speculate that the mgtE protein provides the primary route of magnesium import in B. subtilis and that the other putative transport proteins are likely to be utilized for more-specialized growth conditions.     

Synthesis and pharmacological characterization of functionalized 6-piperazin-1-yl-purines as cannabinoid receptor 1 (CB1) inverse agonists

Antagonists of peripheral type 1 cannabinoid receptors (CB1) may have utility in the treatment of obesity, liver disease, metabolic syndrome and dyslipidemias. We have targeted analogues of the purine inverse agonist otenabant (1) for this purpose. The non-tissue selective CB1 antagonist rimonabant (2) was approved as a weight-loss agent in Europe but produced centrally mediated adverse effects in some patients including dysphoria and suicidal ideation leading to its withdrawal. Efforts are now underway to produce compounds with limited brain exposure. While many structure-activity relationship (SAR) studies of 2 have been reported, along with peripheralized compounds, 1 remains relatively less studied. In this report, we pursued analogues of 1 in which the 4-aminopiperidine group was switched to piperazine group to enable a better understanding of SAR to eventually produce compounds with limited brain penetration. To access a binding pocket and modulate physical properties, the piperazine was functionalized with alkyl, heteroalkyl, aryl and heteroaryl groups using a variety of connectors, including amides, sulfonamides, carbamates and ureas. These studies resulted in compounds that are potent antagonists of hCB1 with high selectivity for hCB1 over hCB2. The SAR obtained led to the discovery of 65 (Ki?=?4?nM, >1,000-fold selective for hCB1 over hCB2), an orally bioavailable aryl urea with reduced brain penetration, and provides direction for discovering peripherally restricted compounds with good in vitro and in vivo properties.     

A novel trehalase from Mycobacterium smegmatis - purification, properties, requirements

Trehalose is a nonreducing disaccharide of glucose (alpha,alpha-1,1-glucosyl-glucose) that is essential for growth and survival of mycobacteria. These organisms have three different biosynthetic pathways to produce trehalose, and mutants devoid of all three pathways require exogenous trehalose in the medium in order to grow. Mycobacterium smegmatis and Mycobacterium tuberculosis also have a trehalase that may be important in controlling the levels of intracellular trehalose. In this study, we report on the purification and characterization of the trehalase from M. smegmatis, and its comparison to the trehalase from M. tuberculosis. Although these two enzymes have over 85% identity throughout their amino acid sequences, and both show an absolute requirement for inorganic phosphate for activity, the enzyme from M. smegmatis also requires Mg(2+) for activity, whereas the M. tuberculosis trehalase does not require Mg(2+). The requirement for phosphate is unusual among glycosyl hydrolases, but we could find no evidence for a phosphorolytic cleavage, or for any phosphorylated intermediates in the reaction. However, as inorganic phosphate appears to bind to, and also to greatly increase the heat stability of, the trehalase, the function of the phosphate may involve stabilizing the protein conformation and/or initiating protein aggregation. Sodium arsenate was able to substitute to some extent for the sodium phosphate requirement, whereas inorganic pyrophosphate and polyphosphates were inhibitory. The purified trehalase showed a single 71 kDa band on SDS gels, but active enzyme eluted in the void volume of a Sephracryl S-300 column, suggesting a molecular mass of about 1500 kDa or a multimer of 20 or more subunits. The trehalase is highly specific for alpha,alpha-trehalose and did not hydrolyze alpha,beta-trelalose or beta,beta-trehalose, trehalose dimycolate, or any other alpha-glucoside or beta-glucoside. Attempts to obtain a trehalase-negative mutant of M. smegmatis have been unsuccessful, although deletions of other trehalose metabolic enzymes have yielded viable mutants. This suggests that trehalase is an essential enzyme for these organisms. The enzyme has a pH optimum of 7.1, and is active in various buffers, as long as inorganic phosphate and Mg(2+) are present. Glucose was the only product produced by the trehalase in the presence of either phosphate or arsenate.     

Evaluation of different protocols for the analysis of lipophilic plant metabolites by gas chromatography–mass spectrometry using potato as a model

In the analysis of lipophilic plant metabolites by gas chromatography?Cmass spectrometry a step is required to release fatty acids and other analytes from complex molecules. Seven alternative methods were compared to the standard method of 1% H₂SO₄/50°C/16?h using Desirée and Phureja potato tubers as models. With two sodium methoxide alkali-catalysed methods (0.5?M NaOCH₃/50°C/1 and 16?h) recoveries of ferulic acids increased, long chain fatty acids and sterols decreased, 2-hydroxy acids were negligible, solanidine was absent and ??5-avenasterol isomerisation was minimal. Using a harsh alkali hydrolysis (1.0?M KOH/120°C/24?h) followed by a mild methylation (1% H₂SO₄/50°C/1.5?h), recoveries of polyunsaturated fatty acids were poor, sterols decreased but ??5-avenasterol isomerisation was minimal. With a mild alkali hydrolysis (0.5?M NaOH/100°C/5?min) followed by methylation with boron trifluoride (14%BF₃/100°C/30?min) recoveries of sterols and 2-hydroxy fatty acids were similar to the standard method and ??5-avenasterol isomerisation was high. Lower ferulic acid recoveries, absence of solanidine and overestimation of fatty alcohols were evident in both methods involving alkali hydrolysis. Three different methods using hydrochloric acid (1.00?M HCl/70°C/5?h, 0.63?M HCl/110°C/2?h and 2.00?M HCl/50°C/24?h) all gave increased recoveries of 2-hydroxy acids, ferulic acids, solanidine and sterols, although ??5-avenasterol isomerisation increased. Hydrochloric acid methods are recommended for studies requiring quantitative determinations (i.e. concentration of metabolite in sample). Either the hydrochloric acid methods or the standard sulphuric acid method are suggested for determining relative concentrations between samples, although there is a requirement for further studies.     

RANTES-mediated control of excitatory amino acid release in mouse spinal cord

O⁶‐methylguanine‐DNA methyltransferase (MGMT) is a DNA‐repair protein promoting resistance of tumor cells to alkylating chemotherapeutic agents. Glioma cells are particularly resistant to this class of drugs which include temozolomide (TMZ) and carmustine (BCNU). A previous study using the RNA microarray technique showed that decrease of MGMT mRNA stands out among the alterations in gene expression caused by the cell growth‐depressing transfection of a T98G glioma cell line with liver‐type glutaminase (LGA) [Szeliga et al. (2009) Glia, 57, 1014]. Here, we show that stably LGA‐transfected cells (TLGA) exhibit decreased MGMT protein expression and activity as compared with non‐transfected or mock transfected cells (controls). However, the decrease of expression occurs in the absence of changes in the methylation of the promoter region, indicating that LGA circumvents, by an as yet unknown route, the most common mechanism of MGMT silencing. TLGA turned out to be significantly more sensitive to treatment with 100–1000 μM of TMZ and BCNU in the acute cell growth inhibition assay (MTT). In the clonogenic survival assay, TLGA cells displayed increased sensitivity even to 10 μM TMZ and BCNU. Our results indicate that enrichment with LGA, in addition to inhibiting glioma growth, may facilitate chemotherapeutic intervention.     

MicroRNA–mRNA interaction network using TSK-type recurrent neural fuzzy network

MicroRNAs are short non-coding RNAs that can regulate gene expression during various crucial cell processes such as differentiation, proliferation and apoptosis. Changes in expression profiles of miRNA play an important role in the development of many cancers, including CRC. Therefore, the identification of cancer related miRNAs and their target genes are important for cancer biology research. In this paper, we applied TSK-type recurrent neural fuzzy network (TRNFN) to infer miRNA–mRNA association network from paired miRNA, mRNA expression profiles of CRC patients. We demonstrated that the method we proposed achieved good performance in recovering known experimentally verified miRNA–mRNA associations. Moreover, our approach proved successful in identifying 17 validated cancer miRNAs which are directly involved in the CRC related pathways. Targeting such miRNAs may help not only to prevent the recurrence of disease but also to control the growth of advanced metastatic tumors. Our regulatory modules provide valuable insights into the pathogenesis of cancer.