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PubMed1994

Cloning and characterization of a novel RNA involved in cellular growth regulation.

During the course of antisense oligodeoxynucleotide (oligo) inhibition experiments investigating the role of insulin-like growth factor I (IGF-I) in the WI-38 cell cycle, we found that a sense-strand oligo (S oligo), used as a control, inhibited DNA synthesis 90 to 95%. S1 nuclease protection assays demonstrated that this S oligo formed intracellular duplexes with WI-38 RNA, and Northern (RNA) hybridization analyses demonstrated specific hybridization of this 32P-labeled S oligo to 1.8-, 2.3-, and 3.2-kb RNAs. We have cloned and sequenced a 2,251-bp cDNA, designated BB1, corresponding to the 2.3-kb RNA. Decoding of the BB1 cDNA sequence reveals several open reading frames arranged in a motif similar to that seen in proteins subject to translational control mechanisms. Homology searches of nucleic acid and protein data bases reveal no significant homology of BB1 with known sequences other than a 234-bp region in the BB1 5' untranslated region that shared 97% homology with a region in the 3' untranslated region of the human cdc42 mRNA. S1 nuclease protection analyses performed with IGF-I gene fragments and computer homology searches demonstrated that the BB1 RNA does not derive from transcription from the opposite strand of the IGF-I gene. Northern hybridization analyses of RNA extracted from serum-starved HeLa S3 cells demonstrated that steady-state BB1 RNA levels increased upon serum growth stimulation, with steady-state levels peaking 4 h after release from the block induced by serum starvation. Antisense oligo inhibition experiments using specific BB1 antisense oligos targeted to the putative open reading frames of the BB1 RNA reduce DNA synthesis of HeLa S3 cells to 15% of control levels, indicating that the BB1 RNA is essential for cell cycle traversal and, as such, encodes a growth-reguLating gene product.

Amino Acid Sequence↗

PubMed2006

Decoding the fine-scale structure of a breast cancer genome and transcriptome.

A comprehensive understanding of cancer is predicated upon knowledge of the structure of malignant genomes underlying its many variant forms and the molecular mechanisms giving rise to them. It is well established that solid tumor genomes accumulate a large number of genome rearrangements during tumorigenesis. End Sequence Profiling (ESP) maps and clones genome breakpoints associated with all types of genome rearrangements elucidating the structural organization of tumor genomes. Here we extend the ESP methodology in several directions using the breast cancer cell line MCF-7. First, targeted ESP is applied to multiple amplified loci, revealing a complex process of rearrangement and co-amplification in these regions reminiscent of breakage/fusion/bridge cycles. Second, genome breakpoints identified by ESP are confirmed using a combination of DNA sequencing and PCR. Third, in vitro functional studies assign biological function to a rearranged tumor BAC clone, demonstrating that it encodes anti-apoptotic activity. Finally, ESP is extended to the transcriptome identifying four novel fusion transcripts and providing evidence that expression of fusion genes may be common in tumors. These results demonstrate the distinct advantages of ESP including: (1) the ability to detect all types of rearrangements and copy number changes; (2) straightforward integration of ESP data with the annotated genome sequence; (3) immortalization of the genome; (4) ability to generate tumor-specific reagents for in vitro and in vivo functional studies. Given these properties, ESP could play an important role in a tumor genome project.

Breast Neoplasms↗

PubMed2005

Efficient decoding algorithms for generalized hidden Markov model gene finders.

BACKGROUND: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility and probabilistic underpinnings. As the focus of the gene finding community shifts toward the use of homology information to improve prediction accuracy, extensions to the basic GHMM model are being explored as possible ways to integrate this homology information into the prediction process. Particularly prominent among these extensions are those techniques which call for the simultaneous prediction of genes in two or more genomes at once, thereby increasing significantly the computational cost of prediction and highlighting the importance of speed and memory efficiency in the implementation of the underlying GHMM algorithms. Unfortunately, the task of implementing an efficient GHMM-based gene finder is already a nontrivial one, and it can be expected that this task will only grow more onerous as our models increase in complexity. RESULTS: As a first step toward addressing the implementation challenges of these next-generation systems, we describe in detail two software architectures for GHMM-based gene finders, one comprising the common array-based approach, and the other a highly optimized algorithm which requires significantly less memory while achieving virtually identical speed. We then show how both of these architectures can be accelerated by a factor of two by optimizing their content sensors. We finish with a brief illustration of the impact these optimizations have had on the feasibility of our new homology-based gene finder, TWAIN. CONCLUSIONS: In describing a number of optimizations for GHMM-based gene finders and making available two complete open-source software systems embodying these methods, it is our hope that others will be more enabled to explore promising extensions to the GHMM framework, thereby improving the state-of-the-art in gene prediction techniques.

Algorithms↗

PubMed2006

Evolution of paralogous genes: Reconstruction of genome rearrangements through comparison of multiple genomes within Staphylococcus aureus.

Analysis of evolution of paralogous genes in a genome is central to our understanding of genome evolution. Comparison of closely related bacterial genomes, which has provided clues as to how genome sequences evolve under natural conditions, would help in such an analysis. With species Staphylococcus aureus, whole-genome sequences have been decoded for seven strains. We compared their DNA sequences to detect large genome polymorphisms and to deduce mechanisms of genome rearrangements that have formed each of them. We first compared strains N315 and Mu50, which make one of the most closely related strain pairs, at the single-nucleotide resolution to catalogue all the middle-sized (more than 10 bp) to large genome polymorphisms such as indels and substitutions. These polymorphisms include two paralogous gene sets, one in a tandem paralogue gene cluster for toxins in a genomic island and the other in a ribosomal RNA operon. We also focused on two other tandem paralogue gene clusters and type I restriction-modification (RM) genes on the genomic islands. Then we reconstructed rearrangement events responsible for these polymorphisms, in the paralogous genes and the others, with reference to the other five genomes. For the tandem paralogue gene clusters, we were able to infer sequences for homologous recombination generating the change in the repeat number. These sequences were conserved among the repeated paralogous units likely because of their functional importance. The sequence specificity (S) subunit of type I RM systems showed recombination, likely at the homology of a conserved region, between the two variable regions for sequence specificity. We also noticed novel alleles in the ribosomal RNA operons and suggested a role for illegitimate recombination in their formation. These results revealed importance of recombination involving long conserved sequence in the evolution of paralogous genes in the genome.

Amino Acid Sequence↗

PubMed1985

Genes for gentamicin-(3)-N-acetyl-transferases III and IV. II. Nucleotide sequences of three AAC(3)-III genes and evolutionary aspects.

The direction of transcription, exact location of the decoding region and nucleotide sequences of the aacC3 genes cloned from R-plasmids pWP14a, pWP116a, and pWP113a were determined. The respective fragments could code for a protein of 30.5 kd molecular weight, which was in agreement with the size of the polypeptide expressed by these plasmids in minicells of Escherichia coli. The aacC3 genes, including the promoters, were completely identical in pWP14a and pWP116a. In contrast, in the respective homologous segment in pWP113a were 3.3% of the nucleotides different, leading to ten exchanges in the proposed amino acid sequence for the AAC(3)-III enzyme. Comparison of the aacC3 sequence with another functionally related aminoglycoside resistance determinant, aacC4 (Bräu et al. 1984), revealed only a distant relationship. A hypothetical genealogy of the aacC genes is proposed. In pWP113a no good correlation with the consensus sequence for -35 boxes of E. coli promoters was found. However, in pWP14a and pWP116a, also expressing higher gentamicin resistance, a -35 sequence (5'TTGCAA3') was complemented by an IS140 element inserted at exactly the same position in both cases. The element bears palindromic -35 boxes at both ends, inside its inverted repeats. In pWP116a, IS140 was inverted relative to its orientation in pWP14a and most of it, together with part of a structure related to Tn3, was deleted during a process leading to fusion of the two transposable elements. Downstream from the aacC3 genes, an open reading frame separated by a possible intercistronic region of 12 bp and preceded by a translational initiation site exists in both pWP113a and pWP14a.(ABSTRACT TRUNCATED AT 250 WORDS)

Acetyltransferases↗

PubMed1981

Does quantitative tRNA adaptation to codon content in mRNA optimize the ribosomal translation efficiency? Proposal for a translation system model.

Neither a dynamic nor an energetic approach of the translation process has taken into account that intracellular levels of iso-tRNA species are adapted or adjusted to the codon frequency of mRNA being decoded (Bombyx mori silk gland, rabbit reticulocyte). A critical study of available experimental data suggests that the average elongation rate of a protein is maximized in the presence of an adapted tRNA population, usually an homologous tRNA. In addition, the amount of synthesized protein parallels that of corresponding mRNA. Other evidences--including in vitro and in vivo elongation assays with fibroin mRNA--show that individual elongation rates are not uniform. Pauses occur at certain sites of the mRNA chain. The relative lifetime of these pauses depends on the tRNA pool used. Finally, it appears that translation accuracy also depends on the balanced tRNA population. We propose to explain these different effects by using a codon-anticodon recognition model, called "trial and error system" based on a stochastic processing of the ribosome. Accordingly, various acylated tRNA species which surround a ribosome randomly encounter the receptor A site. Every trapped tRNA species is tested for a proper pairing with the codon to be recognized at the level of a comparator or discriminator function. If the pairing is correct, transpeptidation becomes irreversible. If not, the aminoacyl-tRNA is rejected and another randomly trapped tRNA is processed in turn. Mathematical analysis of this model shows that the mean number of trials used for translating the whole sequence of a mRNA is minimized when the proportion of different iso-tRNA species is correlated with the square root of codon frequency. Quantitations of reticulocyte tRNA support such a parabolic relation. Our translation system model brings some light into the role of tRNA adaptation for optimizing translation efficiency, i.e. maximizing both speed and accuracy. Some consequences of the model are discussed.

Codon↗

PubMed2003

Human apoC-IV: isolation, characterization, and immunochemical quantification in plasma and plasma lipoproteins.

Apolipoprotein C-IV (apoC-IV), the newest member of the low-molecular-weight apoC group, has been characterized in blood plasma of rabbits, in which it is a major proline-rich apoC component (Zhang, L-H., L. Kotite, and R. J. Havel. 1996. Identification, characterization, cloning, and expression of apoC-IV, a novel sialoglycoprotein of rabbit plasma lipoproteins. J. Biol. Chem. 271: 1776-1783). Although the decoded sequence of mouse and human apoC-IV is known, apoC-IV has not been identified in blood plasma from these or other species. Rabbit apoC-IV exists in several sialoforms, and the asialoform has an acidic isoelectric point. We show that apoC-IV is a basic protein in human, monkey, and mouse plasma, present as a minor apoC component of VLDL. Human apoC-IV, isolated from apo VLDL by DEAE-cellulose chromatography and two-dimensional electrophoresis, was identified by microsequencing four tryptic peptides. The protein exhibits two major isoforms; one is N-glycosylated, and both are variably sialylated. In normolipidemic plasma, greater than 80% of the protein is in VLDL (0.7% of total apo VLDL), with most of the remainder in HDL. The concentration of apoC-IV in the plasma and lipoproteins of rho < 1.21 g/ml is closely related to plasma triglyceride concentration up to 1,770 mg/dl, varying from 0.1-1.9 mg/dl. Neither the human nor rabbit apoC-IV gene contains a typical TATA box in the 5'-flanking region, but the 5'-untranslated region of the rabbit gene contains a unique purine-rich sequence, GGGACAG(G/A), repeated nine times in tandem, with an additional two within the 5'-flanking sequence. This sequence, functioning as a GAGA box that has been implicated in the transcription of a number of genes, may explain the higher level of expression of apoC-IV in rabbits.

5' Untranslated Regions↗

PubMed1997

Phenotypic heterogeneity of mutational changes at a conserved nucleotide in 16 S ribosomal RNA.

RNA sites that contain unpaired or mismatched nucleotides can be interaction sites for other macromolecules. C1054, a virtually universally conserved nucleotide in the 16 S (small subunit) ribosomal RNA of Escherichia coli, is part of a highly conserved bulge in helix 34, which has been located at the decoding site of the ribosome. This helix has been implicated in several translational events, including peptide chain termination and decoding accuracy. Here, we observed interesting differences in phenotype associated with the three base substitutions at, and the deletion of, nucleotide C1054. The phenotypes examined include suppression of nonsense codons on different media and at different temperatures, lethality conditioned by temperature and level of expression of the mutant rRNA, ribosome profiles upon centrifugation through sucrose density gradients, association of mutant 30 S subunits with 50 S subunits, and effects on the action of tRNA suppressor mutants. Some of our findings contradict previously reported properties of individual mutants. Particularly notable is our finding that the first reported 16 S rRNA suppressor of UGA mutations was not a C1054 deletion but rather the base substitution C1054A. After constructing deltaC1054 by site-directed mutagenesis, we observed, among other differences, that it does not suppress any of the trpA mutations previously reported to be suppressed by the original UGA suppressor. In general, our results are consistent with the suggestion that the termination codon readthrough effects of mutations at nucleotide 1054 are the result of defects in peptide chain termination rather than of decreases in general translational accuracy. The phenotypic heterogeneity associated with different mutations at this one nucleotide position may be related to the mechanisms of involvement of this nucleotide, the two-nucleotide bulge, and/or helix 34 in particular translational events. In particular, previous indications from other laboratories of conformational changes associated with this region are consistent with differential effects of 1054 mutations on RNA-RNA or RNA-protein interactions. Finally, the association of a variety of phenotypes with different changes at the same nucleotide may eventually shed light on speculations about the coevolution of parts of ribosomal RNA with other translational macromolecules.

Base Sequence↗

PubMed2004

[Angiotensin converting enzyme gene polymorphisms and coronary risk in a Portuguese population].

BACKGROUND: A family history of coronary heart disease (CHD) is a strong risk marker for the disease, independently of classical risk factors. It could be decoded by recognizing the polymorphisms associated with increased risk. Renin-angiotensin system genes are candidate genes in CHD and the deletion allele of the angiotensin converting enzyme (ACE) has been reported as deleterious. However, there is disagreement as to the role of the insertion/deletion polymorphism of the ACE gene in coronary risk. AIM: To evaluate whether ACE gene polymorphisms constitute a CHD risk factor. METHODS: We conducted a population-based case-control study of 301 subjects with a history of myocardial infarction or angiographic evidence of coronary heart disease and 510 age- and gender-matched controls, without CHD, living in a region with high CHD mortality rates. Blood samples were taken, DNA extracted and genotypes determined by the polymerase chain reaction (PCR). Amplification products were identified by agarose gel electrophoresis. STATISTICAL ANALYSIS: The Data were evaluated by SPSS for Windows, using the Student's t test, the chi-square test, odds ratios and 95% confidence intervals. RESULTS: The prevalence of the DD, ID and II genotype was 41.2%, 46.3%, 12.5% in the cases and 28.1%, 55.2% and 16.7% in the control group. The frequency of the DD genotype was significantly higher in the cases than in the controls (41.2% vs. 28.1%, odds ratio 1.79, 95% CI 1.31 to 2.4, p < 0.0001). By contrast, the ID and II genotypes' prevalence was higher in the control group (55.2% vs. 46.3%, p = 0.002 and 16.7 vs. 12.5%, p = NS, respectively) compared to the case group. CONCLUSIONS: This study clearly shows that the ACE DD polymorphism is strongly linked to CHD, and if our data are confirmed in a larger population sample, more aggressive vascular prevention could be justified in patients carrying the DD genotype.

Case-Control Studies↗

PubMed2005

In silico identification of breast cancer genes by combined multiple high throughput analyses.

Publicly available human genomic sequence data provide an unprecedented opportunity for researchers to decode the functionality of human genome. Such information is extremely valuable in cancer prevention diagnosis and treatment. Cancer Genome Anatomy Project (CGAP) and Gene Expression Omnibus (GEO) are two bioinformatic infrastructures for studying functional genomics. The goal of this study is to explore the feasibility of incorporating the Internet-available bioinformatic databases to discover human breast cancer-related genes. Several tools including the Gene Finder, Virtual Northern (vNorthern) and SAGE digital gene expression displayer (DGED) were used to analyze differential gene expression between benign and malignant breast tissues. A pilot study was performed using both EST and SAGE vNorthern to analyze the expression of a panel of known genes, including high abundance genes beta-actin and G3PDH, low abundance genes BRCA1 and p53, tissue-specific genes CEA and PSA and two breast cancer-related genes Her2/neu and MUC1. We found a high expression of beta-actin and G3PDH and a low expression of BRCA1 and p53 across different types of tissues as well as a tissue-specific expression of CEA in colon and PSA in prostate. A further analysis of 30 known breast cancer-related genes in breast cancer tissues by vNorthern demonstrated a high expression of oncogenes and low expression of tumor suppressor genes. An open-end analysis of two pools of breast cancer and benign breast tissue libraries by SAGE DGED produced 53 differentially expressed genes according to the screening criteria of a >five-fold difference and p<0.01. Further analysis by EST vNorthern and virtual microarray analysis reduced the candidate genes to six, with four down-regulated genes, ANXA1, CAV1, KRT5 and MMP7, and two up-regulated genes, ERBB2 and G1P3 in breast cancer. These findings were validated by a real-time RT-PCR analysis in eight paired human breast cancer tissue samples. We conclude that the combined multiple high throughput analyses is an effective data mining strategy in cancer gene identification. This approach may improve the usage of public available genomic data through strategic data mining of high throughput analysis.

Blotting, Northern↗

PubMed2006

Association between phosphodiesterase 4D gene and ischaemic stroke.

BACKGROUND: An association between the phosphodiesterase 4D (PDE4D) gene and risk of ischaemic stroke in an Icelandic population has been suggested by the deCODE group. METHODS: A case-control study of 151 hospitalised patients with first-ever ischaemic stroke and 164 randomly selected age-matched and sex-matched community controls was conducted. PDE4D genotypes for the six single-nucleotide polymorphisms (SNPs) previously reported to be independently associated with stroke were determined, common haplotypes were inferred using the expectation-maximisation algorithm, and SNP and haplotype associations with stroke were examined. A meta-analysis of published studies examining the association between PDE4D and stroke was also carried out. RESULTS: Our study of Australian patients with stroke showed an independent association between ischaemic stroke and PDE4D SNP 89 (CC: odds ratio (OR) 5.55, 95% confidence interval (CI) 1.02 to 30.19; CA: OR 1.68, 95% CI 0.96 to 2.96; AA: OR 1 (reference)), SNP 87 (CC: OR 2.13, 95% CI 1.08 to 4.20; TC: OR 1.64, 95% CI 0.89 to 3.00; TT: OR 1 (reference)) and SNP 83 (TT: OR 2.16, 95% CI 1.08 to 4.32; TC: OR 1.37, 95% CI 0.77 to 2.43; CC: OR 1 (reference)), and between ischaemic stroke and PDE4D haplotypes at SNP 89-87-83 (A-C-C: OR 2.13, 95% CI 1.15 to 3.96; C-C-T: OR 2.25, 95% CI 1.29 to 3.92), but no association between ischaemic stroke and PDE4D SNP 56, SNP 45 or SNP 41, or with PDE4D haplotypes at SNP 56-45-41. A meta-analysis of nine case-control studies (including our current results) of 3808 stroke cases and 4377 controls confirmed a significant association between stroke and PDE SNP 87 (pooled p = 0.002), SNP 83 (0.003) and SNP 41 (0.003). However, there was statistical heterogeneity (p < 0.1) among the studies in the direction of association for each of the individual SNPs tested. CONCLUSIONS: Our results and the pooled analyses from all the studies indicate a strong association between PDE4D and ischaemic stroke. This strengthens the evidence that PDE4D plays a key part in the pathogenesis of ischaemic stroke. Heterogeneity among the studies in the direction of association between individual SNPs and stroke suggests that the SNPs tested are in linkage disequilibrium with the causal allele(s).

3',5'-Cyclic-AMP Phosphodiesterases↗