Functional identification of sll1383 from<Emphasis Type="Italic"> Synechocystis</Emphasis> sp PCC 6803 as L-<Emphasis Type="Italic">myo</Emphasis>-inositol 1-phosphate phosphatase (EC 3.1.3.25): molecular cloning,expression and characterization

The genome sequence of the cyanobacterium Synechocystis sp. PCC6803 revealed four Open reading frame (ORF) encoding putative inositol monophosphatase or inositol monophosphatase-like proteins. One of the ORFs, sll1383, is ∼870 base pair long and has been assigned as a probable myo-inositol 1 (or 4) monophosphatase (IMPase; EC 3.1.3.25). IMPase is the second enzyme in the inositol biosynthesis pathway and catalyses the conversion of L-myo-inositol 1-phosphate to free myo-inositol. The present work describes the functional assignment of ORF sll1383 as myo-inositol 1-phosphate phosphatase (IMPase) through molecular cloning, bacterial overexpression, purification and biochemical characterization of the gene product. Affinity (K _m) of the recombinant protein for the substrate DL-myo-inositol 1-phosphate was found to be much higher (0.0034 ± 0.0003 mM) compared to IMPase(s) from other sources but in comparison V _max (∼0.033 μmol Pi/min/mg protein) was low. Li⁺ was found to be an inhibitor (IC₅₀ 6.0 mM) of this enzyme, other monovalent metal ions (e.g. Na⁺, K⁺ NH₄⁺) having no significant effect on the enzyme activity. Like other IMPase(s), the activity of this enzyme was found to be totally Mg²⁺ dependent, which can be substituted partially by Mn²⁺. However, unlike other IMPase(s), the enzyme is optimally active at ∼42°C. To the best of our knowledge, sll1383 encoded IMPase has the highest substrate affinity and specificity amongst the known examples from other prokaryotic sources. A possible application of this recombinant protein in the enzymatic coupled assay of L-myo-inositol 1-phosphate synthase (MIPS) is discussed.     

Microautophagy of cytosolic proteins by late endosomes

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Highlights? Late endosomes take up cytosolic proteins through membrane invaginations ? Endosomal microautophagy (eMI) requires multivesicular body formation ? hsc70 mediates selective targeting of cytosolic proteins during eMI ? hsc70 binds to the endosomal membrane through its polybasic cluster     

Empirical Bayes screening of many p-values with applications to microarray studies

MOTIVATION: Statistical tests for the detection of differentially expressed genes lead to a large collection of p-values one for each gene comparison. Without any further adjustment, these p-values may lead to a large number of false positives, simply because the number of genes to be tested is huge, which might mean wastage of laboratory resources. To account for multiple hypotheses, these p-values are typically adjusted using a single step method or a step-down method in order to achieve an overall control of the error rate (the so-called familywise error rate). In many applications, this may lead to an overly conservative strategy leading to too few genes being flagged. RESULTS: In this paper we introduce a novel empirical Bayes screening (EBS) technique to inspect a large number of p-values in an effort to detect additional positive cases. In effect, each case borrows strength from an overall picture of the alternative hypotheses computed from all the p-values, while the entire procedure is calibrated by a step-down method so that the familywise error rate at the complete null hypothesis is still controlled. It is shown that the EBS has substantially higher sensitivity than the standard step-down approach for multiple comparison at the cost of a modest increase in the false discovery rate (FDR). The EBS procedure also compares favorably when compared with existing FDR control procedures for multiple testing. The EBS procedure is particularly useful in situations where it is important to identify all possible potentially positive cases which can be subjected to further confirmatory testing in order to eliminate the false positives. We illustrated this screening procedure using a data set on human colorectal cancer where we show that the EBS method detected additional genes related to colon cancer that were missed by other methods.This novel empirical Bayes procedure is advantageous over our earlier proposed empirical Bayes adjustments due to the following reasons: (i) it offers an automatic screening of the p-values the user may obtain from a univariate (i.e., gene by gene) analysis package making it extremely easy to use for a non-statistician, (ii) since it applies to the p-values, the tests do not have to be t-tests; in particular they could be F-tests which might arise in certain ANOVA formulations with expression data or even nonparametric tests, (iii) the empirical Bayes adjustment uses nonparametric function estimation techniques to estimate the marginal density of the transformed p-values rather than using a parametric model for the prior distribution and is therefore robust against model mis-specification. AVAILABILITY: R code for EBS is available from the authors upon request. SUPPLEMENTARY INFORMATION: http://www.stat.uga.edu/~datta/EBS/supp.htm     

Lysosomal chat maintains the balance

The original idea that each protein follows a particular proteolytic pathway for its degradation is no longer supported. Instead, different proteolytic systems can simultaneously contribute to the degradation of a particular protein, or they can alternate in this task depending, for the most part, on the cellular conditions. It is thus reasonable to expect that some level of communication exists among different proteolytic systems to orchestrate these coordinated activities. Direct cross-talk between two forms of autophagy, macroautophagy and chaperone-mediated autophagy (CMA) has been recently demonstrated. Cells respond to blockage of CMA by upregulating macroautophagy. Although macroautophagy cannot completely substitute for the lack of CMA, the partial redundancy between both pathways allows some level of compensation, enough to maintain protein degradation and preserve cell homeostasis. Understanding the cross-talk among different autophagic pathways and with other proteolytic systems is important to predict the type of compensatory mechanisms that could be elicited in response to failure of one of these systems, and to understand the consequences that manipulating one of these pathways for therapeutic purposes could have on the activity of the other pathways.     

Lysosome membrane lipid microdomains: novel regulators of chaperone-mediated autophagy

Chaperone-mediated autophagy (CMA) is a selective mechanism for the degradation of soluble cytosolic proteins in lysosomes. The limiting step of this type of autophagy is the binding of substrates to the lysosome-associated membrane protein type 2A (LAMP-2A). In this work, we identify a dynamic subcompartmentalization of LAMP-2A in the lysosomal membrane, which underlies the molecular basis for the regulation of LAMP-2A function in CMA. A percentage of LAMP-2A localizes in discrete lysosomal membrane regions during resting conditions, but it exits these regions during CMA activation. Disruption of these regions by cholesterol-depleting agents or expression of a mutant LAMP-2A excluded from these regions enhances CMA activity, whereas loading of lysosomes with cholesterol significantly reduces CMA. Organization of LAMP-2A into multimeric complexes, required for translocation of substrates into lysosomes via CMA, only occurs outside the lipid-enriched membrane microdomains, whereas the LAMP-2A located within these regions is susceptible to proteolytic cleavage and degradation. Our results support that changes in the dynamic distribution of LAMP-2A into and out of discrete microdomains of the lysosomal membrane contribute to regulate CMA.     

sll1981, an acetolactate synthase homologue of Synechocystis sp. PCC6803, functions as l-myo-inositol 1-phosphate synthase

l-myo-inositol 1-phosphate synthase (EC 5.5.1.4; MIPS) catalyzes the first rate limiting conversion of d-glucose 6-phosphate to l-myo-inositol 1-phosphate in the inositol biosynthetic pathway. In an earlier communication we have reported two forms of MIPS in Synechocystis sp. PCC6803 (Chatterjee et al. in Planta 218:989–998, 2004). One of the forms with a ~50 kDa subunit has been found to be coded by an as yet unassigned ORF, sll1722. In the present study we have purified the second isoform of MIPS as a ~65 kDa protein from the crude extract of Synechocystis sp. PCC6803 to apparent homogeneity and biochemically characterized. MALDI-TOF analysis of the 65 kDa protein led to its identification as acetolactate synthase large subunit (EC 2.2.1.6; ALS), the putatively assigned ORF sll1981 of Synechocystis sp. PCC6803. The PCR amplified ~1.6 kb product of sll1981 was found to functionally complement the yeast inositol auxotroph, FY250 and could be expressed as an immunoreactive ~65 kDa MIPS protein in the natural inositol auxotroph, Schizosaccharomyces pombe. In vitro MIPS activity and cross reactivity against MIPS antibody of purified recombinant sll1981 further consolidated its identity as the second probable MIPS gene in Synechocystis sp. PCC6803. Sequence comparison along with available crystal structure analysis of the yeast MIPS reveals conservation of several amino acids in sll1981 essential for substrate and co-factor binding. Comparison with other prokaryotic and eukaryotic MIPS sequences and phylogenetic analysis, however, revealed that like sll1722, sll1981 is quite divergent from others. It is probable that sll1981 may code for a bifunctional enzyme protein having conserved domains for both MIPS and acetolactate synthase (ALS) activities.Anirban Chatterjee and Krishnarup Ghosh Dastidar contributed equally.     

Introgression of a novel salt-tolerant L-myo-inositol 1-phosphate synthase from Porteresia coarctata (Roxb.) Tateoka (PcINO1) confers salt tolerance to evolutionary diverse organisms

We have previously demonstrated that introgression of PcINO1 gene from Porteresia coarctata (Roxb.) Tateoka, coding for a novel salt-tolerant L-myo-inositol 1-phosphate synthase (MIPS) protein, confers salt tolerance to transgenic tobacco plants (Majee, M., Maitra, S., Dastidar, K.G., Pattnaik, S., Chatterjee, A., Hait, N.C., Das, K.P. and Majumder, A.L. (2004) A novel salt-tolerant L-myo-inositol-1-phosphate synthase from Porteresia coarctata (Roxb.) Tateoka, a halophytic wild rice: molecular cloning, bacterial overexpression, characterization, and functional introgression into tobacco-conferring salt-tolerance phenotype. J. Biol. Chem. 279, 28539-28552). In this communication we have shown that functional introgression of the PcINO1 gene confers salt-tolerance to evolutionary diverse organisms from prokaryotes to eukaryotes including crop plants albeit to a variable extent. A direct correlation between unabated increased synthesis of inositol under salinity stress by the PcINO1 gene product and salt tolerance has been demonstrated for all the systems pointing towards the universality of the application across evolutionary divergent taxa.     

Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes

Background  

A cluster analysis is the most commonly performed procedure (often regarded as a first step) on a set of gene expression profiles. In most cases, a post hoc analysis is done to see if the genes in the same clusters can be functionally correlated. While past successes of such analyses have often been reported in a number of microarray studies (most of which used the standard hierarchical clustering, UPGMA, with one minus the Pearson's correlation coefficient as a measure of dissimilarity), often times such groupings could be misleading. More importantly, a systematic evaluation of the entire set of clusters produced by such unsupervised procedures is necessary since they also contain genes that are seemingly unrelated or may have more than one common function. Here we quantify the performance of a given unsupervised clustering algorithm applied to a given microarray study in terms of its ability to produce biologically meaningful clusters using a reference set of functional classes. Such a reference set may come from prior biological knowledge specific to a microarray study or may be formed using the growing databases of gene ontologies (GO) for the annotated genes of the relevant species.