Cloning, characterization and expression of CDK5RAP1_v3 and CDK5RAP1_v4, two novel splice variants of human CDK5RAP1

Two novel splice variants of CDK5RAP1, named CDK5RAP1_v3 and CDK5RAP1_v4, were isolated through the large-scale sequencing analysis of a human fetal brain cDNA library. The CDK5RAP1_v3 and CDK5RAP1_v4 cDNAs are 1923bp and 1792bp in length, respectively. Sequence analysis revealed that CDK5RAP1_v4 lacked 1 exon, which was present in CDK5RAP1_v3, with the result that these cDNAs encoded different putative proteins. The deduced proteins were 574 amino acids (designated as CDK5RAP1_v3) and 426 amino acids (CDK5RAP1_v4) in length, and shared the 420 N-terminal amino acids. RT-PCR analysis showed that human CDK5RAP1_v3 was widely expressed in human tissues. The expression level of CDK5RAP1_v3 was relatively high in placenta and lung, whereas low levels of expression were detected in heart, brain, liver, skeletal muscle, pancreas, spleen, thymus, small intestine and peripheral blood leukocytes. In contrast, human CDK5RAP1_v4 was mainly expressed in brain, placenta and testis.     

A graph theoretical approach for predicting common RNA secondary structure motifs including pseudoknots in unaligned sequences

MOTIVATION: RNA structure motifs contained in mRNAs have been found to play important roles in regulating gene expression. However, identification of novel RNA regulatory motifs using computational methods has not been widely explored. Effective tools for predicting novel RNA regulatory motifs based on genomic sequences are needed. RESULTS: We present a new method for predicting common RNA secondary structure motifs in a set of functionally or evolutionarily related RNA sequences. This method is based on comparison of stems (palindromic helices) between sequences and is implemented by applying graph-theoretical approaches. It first finds all possible stable stems in each sequence and compares stems pairwise between sequences by some defined features to find stems conserved across any two sequences. Then by applying a maximum clique finding algorithm, it finds all significant stems conserved across at least k sequences. Finally, it assembles in topological order all possible compatible conserved stems shared by at least k sequences and reports a number of the best assembled stem sets as the best candidate common structure motifs. This method does not require prior structural alignment of the sequences and is able to detect pseudoknot structures. We have tested this approach on some RNA sequences with known secondary structures, in which it is capable of detecting the real structures completely or partially correctly and outperforms other existing programs for similar purposes. AVAILABILITY: The algorithm has been implemented in C++ in a program called comRNA, which is available at http://ural.wustl.edu/softwares.html     

Mining gene expression data for positive and negative co-regulated gene clusters

MOTIVATION: Analysis of gene expression data can provide insights into the positive and negative co-regulation of genes. However, existing methods such as association rule mining are computationally expensive and the quality and quantities of the rules are sensitive to the support and confidence values. In this paper, we introduce the concept of positive and negative co-regulated gene cluster (PNCGC) that more accurately reflects the co-regulation of genes, and propose an efficient algorithm to extract PNCGCs. RESULTS: We experimented with the Yeast dataset and compared our resulting PNCGCs with the association rules generated by the Apriori mining algorithm. Our results show that our PNCGCs identify some missing co-regulations of association rules, and our algorithm greatly reduces the large number of rules involving uncorrelated genes generated by the Apriori scheme. AVAILABILITY: The software is available upon request.     

The cDNA and genomic DNA organization of a novel toxin SHT-I from spider Ornithoctonus huwena

Spider venoms are complex mixtures of neurotoxicpeptides, proteins and low molecular mass organicmolecules. Their neurotoxic activity is due to the interac-tion of the venom components with cellular receptors, inparticular ion channels. Spider venoms have…     

Reaction trajectory of pyrophosphoryl transfer catalyzed by 6-hydroxymethyl-7,8-dihydropterin pyrophosphokinase

6-hydroxymethyl-7,8-dihydropterin pyrophosphokinase (HPPK) catalyzes the Mg(2+)-dependent pyrophosphoryl transfer from ATP to 6-hydroxymethyl-7,8-dihydropterin (HP). The reaction follows a bi-bi mechanism with ATP as the first substrate and AMP and HP pyrophosphate (HPPP) as the two products. HPPK is a key enzyme in the folate biosynthetic pathway and is essential for microorganisms but absent from mammals. For the HPPK-catalyzed pyrophosphoryl transfer, a reaction coordinate is constructed on the basis of the thermodynamic and transient kinetic data we reported previously, and the reaction trajectory is mapped out with five three-dimensional structures of the enzyme at various liganded states. The five structures are apo-HPPK (ligand-free enzyme), HPPK.MgATP(analog) (binary complex of HPPK with its first substrate) and HPPK.MgATP(analog).HP (ternary complex of HPPK with both substrates), which we reported previously, and HPPK.AMP.HPPP (ternary complex of HPPK with both product molecules) and HPPK.HPPP (binary complex of HPPK with one product), which we present in this study.     

Isolation and analyses of genes preferentially expressed during early cotton fiber development by subtractive PCR and cDNA array

Cotton fibers are differentiated epidermal cells originating from the outer integuments of the ovule. To identify genes involved in cotton fiber elongation, we performed subtractive PCR using cDNA prepared from 10 days post anthesis (d.p.a.) wild-type cotton fiber as tester and cDNA from a fuzzless-lintless (fl) mutant as driver. We recovered 280 independent cDNA fragments including most of the previously published cotton fiber-related genes. cDNA macroarrays showed that 172 genes were significantly up-regulated in elongating cotton fibers as confirmed by in situ hybridization in representative cases. Twenty-nine cDNAs, including a putative vacuolar (H⁺)-ATPase catalytic subunit, a kinesin-like calmodulin binding protein, several arabinogalactan proteins and key enzymes involved in long chain fatty acid biosynthesis, accumulated to greater than 50-fold in 10 d.p.a. fiber cells when compared to that in 0 d.p.a. ovules. Various upstream pathways, such as auxin signal transduction, the MAPK pathway and profilin- and expansin-induced cell wall loosening, were also activated during the fast fiber elongation period. This report constitutes the first systematic analysis of genes involved in cotton fiber development. Our results suggest that a concerted mechanism involving multiple cellular pathways is responsible for cotton fiber elongation.     

Heterocyclic ketones as inhibitors of histone deacetylase

Several heterocyclic ketones were investigated as potential inhibitors of histone deacetylase. Nanomolar inhibitors such as 22 and 25 were obtained, the anti-proliferative activity of which were shown to be mediated by HDAC inhibition.     

Corticotropin-releasing hormone induces proliferation and TNF-alpha release in cultured rat microglia via MAP kinase signalling pathways

We have previously demonstrated that corticotropin-releasing hormone (CRH) receptor 1 (CRH-R1) is functionally expressed in rat microglia. In the present study, we show that CRH, acting on CRH-R1, promoted cell proliferation and tumour necrosis factor-alpha (TNF-alpha) release in cultured rat microglia. Exogenous CRH resulted in an increase in BrdU incorporation compared with control cells, which was observed in a range of concentrations of CRH between 10 and 500 nm, with a maximal response at 50 nm. The effect of CRH on BrdU incorporation was inhibited by a CRH antagonist astressin but not by a cAMP-dependent protein kinase inhibitor H89. Exposure of microglial cells to CRH resulted in a transient and rapid increase in TNF-alpha release in a dose-dependent manner. In the presence of astressin, the effects of CRH on TNF-alpha release were attenuated. CRH effects on TNF-alpha release were also inhibited by specific inhibitors of MEK, the upstream kinase of the extracellular signal-regulated protein kinase (ERK) (PD98059) or p38 mitogen-activated protein kinase (SB203580), but not by H89. Furthermore, CRH induced rapid phosphorylation of ERK and p38 kinases. Astressin, PD98059, and SB230580 were able to inhibit CRH-induced kinase phosphorylation. These results suggest that CRH induces cell proliferation and TNF-alpha release in cultured microglia via MAP kinase signalling pathways, thereby providing insight into the interactions between CRH and inflammatory mediators.