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At least 1,387 records · Page 77Linked to original sources
PubMed2001

Aminoglycoside antibiotics and autism: a speculative hypothesis.

BACKGROUND: Recently, it has been suspected that there is a relationship between therapy with some antibiotics and the onset of autism; but even more curious, some children benefited transiently from a subsequent treatment with a different antibiotic. Here, we speculate how aminoglycoside antibiotics might be associated with autism. PRESENTATION: We hypothesize that aminoglycoside antibiotics could a)trigger the autism syndrome in susceptible infants by causing the stop codon readthrough, i.e., a misreading of the genetic code of a hypothetical critical gene, and/or b) improve autism symptoms by correcting the premature stop codon mutation in a hypothetical polymorphic gene linked to autism. TESTING: Investigate, retrospectively, whether a link exists between aminoglycoside use (which is not extensive in children) and the onset of autism symptoms (hypothesis "a"), or between aminoglycoside use and improvement of these symptoms (hypothesis "b"). Whereas a prospective study to test hypothesis "a" is not ethically justifiable, a study could be designed to test hypothesis "b". IMPLICATIONS: It should be stressed that at this stage no direct evidence supports our speculative hypothesis and that its main purpose is to initiate development of new ideas that, eventually, would improve our understanding of the pathobiology of autism.

Aminoglycosides↗
PubMed2006

Anticodons, frameshifts, and hidden periodicities in tRNA sequences.

Fourier analysis of the short-range periodicities for the complete set of sequences coding for tRNA genes in genome of Bacillus subtilis proves that periodicities with periods p = 2, 3, 4, and 6 sites are the inherent properties of tRNAs. The related periodicities should be understood in a broad statistical sense and their identifying needs the elaborate statistical methods. To improve the statistics, the analysis of significant periodicities was performed for the binary R-Y, S-W, and K-M sequences. Generally, such short-range periodicities are produced via biased positioning of particular nucleotides rather than via the tandem multiplication and subsequent modifications of repeats, though the latter mechanism may also be realized. Quasi-coherently piercing long segments of tRNA, the short-range periodicities create the effective long-range structural coupling between the acceptor stem and the anticodon loop and may participate in the mechanisms of molecular recognition. The periodicities with p = 2 and 4 provide the natural ground for the translation with spontaneous or programmed frameshifting and are present in tRNAs decoding the most frameshift-prone codons. The observation of short-range periodicities suggests that the mechanisms of amino-acylation of tRNAs and codon-anticodon pairing are not independent. Their study may also provide the important information related to the origin and evolution of the genetic code.

Anticodon↗
PubMed2004

Techniques for studying protein heterogeneity and post-translational modifications.

Proteins often undergo several post-translational modification steps in parallel to protein folding. These modifications can be transient or of a more permanent nature. Most modifications are, however, susceptible to alteration during the lifespan of proteins. Post-translational modifications thus generate variability in proteins that are far beyond that provided by the genetic code. Co- and post-translational modifications can convert the 20 specific codon-encoded amino acids into more than 100 variant amino acids with new properties. These, and a number of other modifications, can considerably increase the information content and functional repertoire of proteins, thus making their analysis of paramount importance for diagnostic and basic research purposes. Various methods used in proteomics, such as 2D gel electrophoresis, 2D liquid chromatography, mass spectrometry, affinity-based analytical methods, interaction analyses, ligand blotting techniques, protein crystallography and structure-function predictions, are all applicable for the analysis of these numerous secondary modifications. In this review, examples of some of these techniques in studying the heterogeneity of proteins are highlighted. In the future, these methods will become increasingly useful in biomarker searches and in clinical diagnostics.

Humans↗
PubMed2005

DNA methylation in mammalian development and disease.

Epigenetic modification of the cytosine base of DNA by its methylation introduced the possibility that beyond the inherent information contained within the nucleotide sequence there was an additional layer of information added to the underlying genetic code. DNA methylation has been implicated in a wide range of biological functions, including an essential developmental role in the reprogramming of germ cells and early embryos, the repression of endogenous retrotransposons, and a generalized role in gene expression. Special functions of DNA methylation include the marking of one of the parental alleles of many imprinted genes, a group of genes essential for growth and development in mammals with a unique parent-of-origin expression pattern, a role in stabilizing X-chromosome inactivation, and centromere function. In this regard, it is not surprising that errors in establishing or maintaining patterns of methylation are associated with a diverse group of human diseases and syndromes.

Alleles↗
PubMed2006

Genome-wide analysis of DNA methylation changes in human malignancies.

DNA methylation is an epigenetic modification of the DNA sequence and thus does not change the genetic code but affects chromosomal stability and gene expression. DNA methylation patterns are heritable and can be passed on to the daughter cell. In this review, we briefly summarize our current knowledge on normal DNA methylation patterns and move on to discuss the current state of the field with respect to altered DNA methylation in cancer. We make a special attempt to address current questions relating to genome-wide DNA methylation patterns. Since DNA methylation is used as a therapeutic target in clinical studies, it is of utmost importance to define potential target sequences that could be used as diagnostic or prognostic markers. We conclude the review by outlining possible scenarios that may explain tumor type-specific DNA methylation patterns described by assays evaluating genome-wide levels of DNA methylation.

CpG Islands↗
PubMed2005

An alternative approach for neural network evolution with a genetic algorithm: crossover by combinatorial optimization.

In this work we present a new approach to crossover operator in the genetic evolution of neural networks. The most widely used evolutionary computation paradigm for neural network evolution is evolutionary programming. This paradigm is usually preferred due to the problems caused by the application of crossover to neural network evolution. However, crossover is the most innovative operator within the field of evolutionary computation. One of the most notorious problems with the application of crossover to neural networks is known as the permutation problem. This problem occurs due to the fact that the same network can be represented in a genetic coding by many different codifications. Our approach modifies the standard crossover operator taking into account the special features of the individuals to be mated. We present a new model for mating individuals that considers the structure of the hidden layer and redefines the crossover operator. As each hidden node represents a non-linear projection of the input variables, we approach the crossover as a problem on combinatorial optimization. We can formulate the problem as the extraction of a subset of near-optimal projections to create the hidden layer of the new network. This new approach is compared to a classical crossover in 25 real-world problems with an excellent performance. Moreover, the networks obtained are much smaller than those obtained with classical crossover operator.

Algorithms↗
PubMed2005

Non-hydrogen-bonded base pairs for specific transcription.

Specific transcription mediated by unnatural base pairs could create novel RNA molecules with increased functionality and expand the genetic code. Here, we report an unnatural base pair between pyrrole-2-carbaldehyde (Pa) and 2-amino-6-(2-thienyl)purine (s) or 6-(2-thienyl)purine (s') for the site-specific incorporation of s or s' into RNA by T7 RNA polymerase, using DNA templates containing Pa. Despite the absence of significant hydrogen bonding interactions between the unnatural bases, the efficiency and fidelity of the s-Pa pairing in transcription were as high as those of the natural base pairings. As shown in replication, this indicates the importance of shape complementarity between pairing bases in transcription. Since the s base is fluorescent, this transcription mediated by the s-Pa pair provides a useful tool for site-specific fluorescence probing of RNA molecules.

Base Pairing↗
PubMed1995

Switching recognition of two tRNA synthetases with an amino acid swap in a designed peptide.

The genetic code is based on specific interactions between transfer RNA (tRNA) synthetases and their cognate tRNAs. The anticodons for methionine and isoleucine tRNAs differ by a single nucleotide, and changing this nucleotide in an isoleucine tRNA is sufficient to change aminoacylation specificity to methionine. Results of combinatorial mutagenesis of an anticodon-binding-helix loop peptide were used to design a hybrid sequence composed of amino acid residues from methionyl- and isoleucyl-tRNA synthetases. When the hybrid sequence was transplanted into isoleucyl-tRNA synthetase, active enzyme was generated in vivo and in vitro. The transplanted peptide did not confer function to methionyl-tRNA synthetase, but the substitution of a single amino acid within the transplanted peptide conferred methionylation and prevented isoleucylation. Thus, the swap of a single amino acid in the transplanted peptide switches specificity between anticodons that differ by one nucleotide.

Amino Acid Sequence↗
PubMed2003

The rate of peptidyl-tRNA dissociation from the ribosome during minigene expression depends on the nature of the last decoding interaction.

The expression of some very short open reading frames (ORFs) in Escherichia coli results in peptidyl-tRNA accumulation that is lethal to cells defective in peptidyl-tRNA hydrolase activity. In an attempt to understand the factors that affect this phenotype, we have surveyed the toxicity of a complete set of two-codon ORFs cloned as minigenes in inducible expression vectors. The minigenes were tested in hydrolase-defective hosts and classified according to their degree of toxicity. In general, minigenes harboring codons belonging to the same box in the standard table of the genetic code mediated similar degrees of toxicity. Moreover, the levels of peptidyl-tRNA accumulation for synonymous minigenes decoded by the same tRNA were comparable. However, two exceptions were observed: (i) expression of minigenes harboring the Arg codons CGA, CGU, and CGC, resulted in the accumulation of different levels of the unique peptidyl-tRNAArg-2 and (ii) the toxicity of minigenes containing CUG and UCU codons, each recognized by two different tRNAs, depended on peptidyl-tRNA accumulation of only one of them. Non-toxic, or partly toxic, minigenes prompted higher accumulation levels of peptidyl-tRNA upon deprivation of active RF1, implying that translation termination occurred efficiently. Our data indicate that the nature of the last decoding tRNA is crucial in the rate of peptidyl-tRNA release from the ribosome.

Blotting, Northern↗
PubMed1998

Evolution of a transfer RNA gene through a point mutation in the anticodon.

The transfer RNA (tRNA) multigene family comprises 20 amino acid-accepting groups, many of which contain isoacceptors. The addition of isoacceptors to the tRNA repertoire was critical to establishing the genetic code, yet the origin of isoacceptors remains largely unexplored. A model of tRNA evolution, termed "tRNA gene recruitment," was formulated. It proposes that a tRNA gene can be recruited from one isoaccepting group to another by a point mutation that concurrently changes tRNA amino acid identity and messenger RNA coupling capacity. A test of the model showed that an Escherichia coli strain, in which the essential tRNAUGUThr gene was inactivated, was rendered viable when a tRNAArg with a point mutation that changed its anticodon from UCU to UGU (threonine) was expressed. Insertion of threonine at threonine codons by the "recruited" tRNAArg was corroborated by in vitro aminoacylation assays showing that its specificity had been changed from arginine to threonine. Therefore, the recruitment model may account for the evolution of some tRNA genes.

Anticodon↗
PubMed2006

Protein biosensors based on the principle of fluorescence resonance energy transfer for monitoring cellular dynamics.

Genetically-coded, fluorescence resonance energy transfer (FRET) biosensors are widely used to study molecular events from single cells to whole organisms. They are unique among biosensors because of their spontaneous fluorescence and targeting specificity to both organelles and tissues. In this review, we discuss the theoretical basis of FRET with a focus on key parameters responsible for designing FRET biosensors that have the highest sensitivity. Next, we discuss recent applications that are grouped into four common biosensor design patterns--intermolecular FRET, intramolecular FRET, FRET from substrate cleavage and FRET using multiple colour fluorescent proteins. Lastly, we discuss recent progress in creating fluorescent proteins suitable for FRET purposes. Together these advances in the development of FRET biosensors are beginning to unravel the interconnected and intricate signalling processes as they are occurring in living cells and organisms.

Animals↗
PubMed1991

Structural organization and transcription of plant mitochondrial and chloroplast genomes.

Experimental evidence is presented showing that the plant mitochondrial and chloroplast genomes are multipartite and, that besides a large circular genomic DNA, they contain subgenomic minicircular and plasmid-like molecules. It is demonstrated that plant mitochondrial and chloroplast DNAs are packaged into deoxynucleoprotein fibrils comprising nucleosome-like and nucleomere-like globules; the fibrils form loops and rosette-like structures with central proteinaceous components. A similar structure is characteristic of the subgenomic DNAs. The basic proteins involved in the formation of nucleosome-like globules are quite different from the nuclear histones, indeed the basic proteins from plant mitochondria and chloroplasts are also distinct. Some of the basic proteins share common antigens with the E. coli HU protein. The genetic code for the mitochondrial and chloroplast genes is universal. The only codon now thought to be different from the universal in the mitochondrial genome is corrected during post-transcriptional mRNA editing. There are two hexanucleotides in the promoters of the chloroplast genes homologous to the sequences in -10 and -35 regions of the prokaryotic genes promoters requisite for transcription. Promoter sequences of the plant mitochondria genes responsible for transcription regulation were not identified. Immunoelectronmicroscopic evidence suggest that mitochondrial and chloroplast RNA polymerases have antigens in common with the beta-subunit of E. coli RNA polymerase. It is shown that the mitochondrial genes are intensely transcribed in the dark and repressed by illumination. Electron microscopy demonstrated that about 70% of plant mitochondria contain numerous RNA polymerase molecules in the dark, but this percentage falls to 10-15% after light exposure.

Chloroplasts↗
PubMed1997

Emergence of template-and-sequence-directed (TSD) syntheses: II. A computer simulation model.

The initiation of the bio-geochemical scenario described in Part I serves in the present work as the basis for computer modeling, where the central process of the simulation algorithm. i.e., peptide-catalyzed oligomeric growth, is based on mass action equations. The computer model starts with a minimal system in which catalyzed growth processes of proto-RNA templates and small peptides take place, starting from their building blocks. The emerging populations of random oligomers also include a very small fraction of proto-tRNAs and a small fraction of catalytic peptides. Using simplifying assumptions regarding catalyzed proto-RNA template-replication, as well as selectivity of certain molecules and processes, the proportion of proto-tRNA in the proto-RNA molecular population increases rapidly; it is followed by TSD peptide synthesis, based on an ad hoc genetic code and specific peptide catalysts allocated for this synthesis. Consequently, a feedback system is initiated in which TSD peptides involved in the relevant catalytic reactions of the TSD syntheses also start to accumulate. The initial sporadic formation of TSD peptides is thus replaced gradually by cycles of positive feedback and autocatalysis characterized by accumulation of catalytic peptides and Proto-tRNAs and TSD-Reaction-Takeover. The model system which can be considered a 'toy model' can synthesize its templates and catalysts under a wide range of reaction parameters and initial concentrations, thus demonstrating a robustness which is essential for molecular evolution processes. The critical stage of the buildup of a molecular mechanism for the initiation of a minimal TSD reaction cycle has thus been described; because of the centrality of TSD reaction cycles in biology, it is assumed to be central also in the origin of life processes.

Adenosine Triphosphate↗
PubMed2001

A novel MVMp-based vector system specifically designed to reduce the risk of replication-competent virus generation by homologous recombination.

Recent work highlights the potential usefulness of MVM-based vectors as selective vehicles for cancer gene therapy (Dupont et al, Gene Therapy, 2000; 7: 790-796). To implement this strategy, however, it is necessary to develop optimized methods for producing high-titer, helper-free parvovirus stocks. Recombinants of MVMp (rMVMp) are currently generated by transiently co-transfecting permissive cell lines with a plasmid carrying the vector genome and a helper plasmid expressing the capsid genes (replaced with a foreign gene in the vector genome). The resulting stocks, however, are always heavily contaminated with replication-competent viruses (RCV), which precludes their use in vivo and particularly in gene therapy. In the present work we have developed a second-generation MVMp-based vector system specifically designed to reduce the probability of RCV generation by homologous recombination. We have constructed a new MVMp-based vector and a new helper genome with minimal sequence overlap and have used the degeneracy of the genetic code to further decrease vector-helper homology. In this system, the left homologous region was almost completely eliminated and the right sequence overlap was reduced to 74 nt with only 61% homology. We were thus able to substantially reduce ( approximately 200 x), but not completely eliminate, generation of contaminating viruses in medium-scale rMVMp preparations. Since the remaining sequence homology between the new vector and helper genomes is weak, our results suggest that contaminating viruses in this system are generated by nonhomologous recombination. It is important to note, unlike the autonomously replicating helper viruses produced from the first-generation vector/helper genomes, the contaminating viruses arising from the new packaging system cannot initiate secondary infection rounds (so they are not 'replication-competent viruses'). Our findings have important implications for the design of new MVMp-based vectors and for the construction of trans-complementing packaging cell lines.

Animals↗
PubMed2000

Modelling in surgical oncology--part III: massive data sets and complex systems.

Human tumours are complex and unstable biological systems. New intellectual and mathematical approaches together with massive computing power are transforming our capacity to model and investigate such complexity. Computers also allow massive data sets to be collated and analysed. Such sets include the medical and epidemiological records of entire populations; the entire genetic code of the human being and of other species, including parasites and disease vectors; and the genotype of each and every individual. Massive data sets take us into new dimensions of complexity for which simple linear mathematics are insufficient. The analysis of the grades of complexity which determine protein and cell construction, cell to cell interactions within tissues and organs, the morphogenesis of entire organisms and population interactions with disease vectors require the sophisticated mathematical tools of non-linear analysis, neural networks, chaos and complexity theory. The capacity for closer representations of reality through powerful computational models also allows us to look afresh at the generalizations of conventional statistics. Within this computational cauldron, we may also find help in the better understanding of oncogenesis and cancer therapy. This paper, the third in our series on modelling in tumour biology, considers the breadth of opportunity and challenge at the interface between cell biology and biomathematics.

Computational Biology↗
PubMed2006

Genome-wide prediction of mammalian enhancers based on analysis of transcription-factor binding affinity.

Understanding the regulation of human gene expression requires knowledge of the "second genetic code," which consists of the binding specificities of transcription factors (TFs) and the combinatorial code by which TF binding sites are assembled to form tissue-specific enhancer elements. Using a novel high-throughput method, we determined the DNA binding specificities of GLIs 1-3, Tcf4, and c-Ets1, which mediate transcriptional responses to the Hedgehog (Hh), Wnt, and Ras/MAPK signaling pathways. To identify mammalian enhancer elements regulated by these pathways on a genomic scale, we developed a computational tool, enhancer element locator (EEL). We show that EEL can be used to identify Hh and Wnt target genes and to predict activated TFs based on changes in gene expression. Predictions validated in transgenic mouse embryos revealed the presence of multiple tissue-specific enhancers in mouse c-Myc and N-Myc genes, which has implications for organ-specific growth control and tumor-type specificity of oncogenes.

Amino Acid Sequence↗
PubMed2006

Global effects of mistranslation from an editing defect in mammalian cells.

Aminoacyl-tRNA synthetases prevent mistranslation, or genetic code ambiguity, through specialized editing reactions. Mutations that disrupt editing in bacteria adversely affect cell growth and viability, and recent work in the mouse supports the idea that translational errors caused by an editing defect lead to a neurological disease-like phenotype. To further investigate the connection of mistranslation to cell pathology, we introduced an inducible transgene expressing an editing-deficient valyl-tRNA synthetase into mammalian cells. Introducing mistranslation precipitated a disruption of cell morphology and membrane blebbing, accompanied by activation of caspase-3, consistent with an apoptotic response. Addition of a noncanonical amino acid that is misactivated, but not cleared, by the editing-defective enzyme exacerbated these effects. A special ambiguity-detecting sensor provided direct readout of mistranslation in vivo, supporting the possibility that decreased translational fidelity could be associated with disease.

Animals↗
PubMed1998

Synonymous and nonsynonymous rate variation in nuclear genes of mammals.

A maximum likelihood approach was used to estimate the synonymous and nonsynonymous substitution rates in 48 nuclear genes from primates, artiodactyls, and rodents. A codon-substitution model was assumed, which accounts for the genetic code structure, transition/transversion bias, and base frequency biases at codon positions. Likelihood ratio tests were applied to test the constancy of nonsynonymous to synonymous rate ratios among branches (evolutionary lineages). It is found that at 22 of the 48 nuclear loci examined, the nonsynonymous/synonymous rate ratio varies significantly across branches of the tree. The result provides strong evidence against a strictly neutral model of molecular evolution. Our likelihood estimates of synonymous and nonsynonymous rates differ considerably from previous results obtained from approximate pairwise sequence comparisons. The differences between the methods are explored by detailed analyses of data from several genes. Transition/transversion rate bias and codon frequency biases are found to have significant effects on the estimation of synonymous and nonsynonymous rates, and approximate methods do not adequately account for those factors. The likelihood approach is preferable, even for pairwise sequence comparison, because more realistic models about the mutation and substitution processes can be incorporated in the analysis.

Animals↗