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Protein synthesis editing by a DNA aptamer.

Potential errors in decoding genetic information are corrected by tRNA-dependent amino acid recognition processes manifested through editing reactions. One example is the rejection of difficult-to-discriminate misactivated amino acids by tRNA synthetases through hydrolytic reactions. Although several crystal structures of tRNA synthetases and synthetase-tRNA complexes exist, none of them have provided insight into the editing reactions. Other work suggested that editing required active amino acid acceptor hydroxyl groups at the 3' end of a tRNA effector. We describe here the isolation of a DNA aptamer that specifically induced hydrolysis of a misactivated amino acid bound to a tRNA synthetase. The aptamer had no effect on the stability of the correctly activated amino acid and was almost as efficient as the tRNA for inducing editing activity. The aptamer has no sequence similarity to that of the tRNA effector and cannot be folded into a tRNA-like structure. These and additional data show that active acceptor hydroxyl groups in a tRNA effector and a tRNA-like structure are not essential for editing. Thus, specific bases in a nucleic acid effector trigger the editing response.

Base Sequence↗

A 3.9-centimorgan-resolution human single-nucleotide polymorphism linkage map and screening set.

Recent advances in technologies for high-throughout single-nucleotide polymorphism (SNP)-based genotyping have improved efficiency and cost so that it is now becoming reasonable to consider the use of SNPs for genomewide linkage analysis. However, a suitable screening set of SNPs and a corresponding linkage map have yet to be described. The SNP maps described here fill this void and provide a resource for fast genome scanning for disease genes. We have evaluated 6,297 SNPs in a diversity panel composed of European Americans, African Americans, and Asians. The markers were assessed for assay robustness, suitable allele frequencies, and informativeness of multi-SNP clusters. Individuals from 56 Centre d'Etude du Polymorphisme Humain pedigrees, with >770 potentially informative meioses altogether, were genotyped with a subset of 2,988 SNPs, for map construction. Extensive genotyping-error analysis was performed, and the resulting SNP linkage map has an average map resolution of 3.9 cM, with map positions containing either a single SNP or several tightly linked SNPs. The order of markers on this map compares favorably with several other linkage and physical maps. We compared map distances between the SNP linkage map and the interpolated SNP linkage map constructed by the deCode Genetics group. We also evaluated cM/Mb distance ratios in females and males, along each chromosome, showing broadly defined regions of increased and decreased rates of recombination. Evaluations indicate that this SNP screening set is more informative than the Marshfield Clinic's commonly used microsatellite-based screening set.

Alleles↗

Conservation of a tRNA core for aminoacylation.

The core region of Escherichia coli tRNA(Cys)is important for aminoacylation of the tRNA. This core contains an unusual G15:G48 base pair, and three adenosine nucleotides A13, A22 and A46 that are likely to form a 46:[13:22] adenosine base triple. We recently observed that the 15:48 base pair and the proposed 46:[13:22] triple are structurally and functionally coupled to contribute to aminoacylation. Inspection of a database of tRNA sequences shows that these elements are only found in one other tRNA, the Haemophilus influenzae tRNA(Cys). Because of the complexity of the core, conservation of sequence does not mean conservation of function. We here tested whether the conserved elements in H. influenzae tRNA(Cys)were also important for aminoacylation of H. influenzae tRNA(Cys). We cloned and purified a recombinant H. influenzae cysteine-tRNA synthe-tase and showed that it depends on 15:48 and 13, 22 and 46 in a relationship analogous to that of E. coli cysteine-tRNA synthetase. The functional conservation of the tRNA core is correlated with sequence conservation between E.coli and H.influenzae cysteine-tRNA synthetases. As the genome of H. influenzae is one of the smallest and may approximate a small autonomous entity in the development of life, the dependence of this genome on G15:G48 and its coupling with the proposed A46:[A13:A22] triple for aminoacylation with cysteine suggests an early role of these motifs in the evolution of decoding genetic information.

Acylation↗

Salivary electrolyte concentrations are associated with cystic fibrosis transmembrane regulator genotypes.

It is estimated that about one in 24 Belgian Caucasians is a cystic fibrosis (CF) heterozygote. Until now, CF heterozygotes can only be identified by genetic decoding (e.g. Inno-Lipa CF2 test), as they cannot be phenotypically distinguished from the general population. The aim of this study was to evaluate differences in salivary electrolyte concentrations (calcium, bicarbonate, chloride, potassium, sodium and phosphate) and salivary osmolarity between CF homozygotes (n=41), CF heterozygotes (n=56) and healthy controls (n=65). Differences between the three groups were investigated by means of non-parametric tests. Several significant differences between the three study groups and among, as well as between, the different cystic fibrosis transmembrane regulator (CFTR) genotypes were observed. Significant differences in salivary electrolyte concentrations between individuals with delta F508 mutation and those without, and between CF homozygotes and heterozygotes were observed. The concentrations of several salivary electrolytes, and salivary osmolarity were significantly higher in CFTR genotype individuals. Differences in salivary electrolyte concentrations may partly explain differences in caries between the three study groups.

Adolescent↗

Exploring the causal relationship between plasma proteins and postherpetic neuralgia: a Mendelian randomization study.

BACKGROUND: The proteome represents a valuable resource for identifying therapeutic targets and clarifying disease mechanisms in neurological disorders. This study investigated potential causal relationships between plasma proteins and postherpetic neuralgia (PHN). METHODS: We conducted a two-sample Mendelian randomization (MR) analysis using genome-wide association study (GWAS) summary statistics from the Decode Genetics dataset (4,907 plasma proteins) and the FinnGen database (490 PHN cases and 435,371 controls). Instrumental variables (IVs) were selected based on relevance, independence, and exclusivity. Causal associations were assessed using inverse-variance weighted (IVW), MR-Egger regression, simple mode, weighted mode, and weighted median methods. Sensitivity analyses, including leave-one-out tests, evaluated result robustness, while colocalization analysis examined shared causal variants between traits. RESULTS: Eight plasma proteins showed significant associations with PHN (PFDR < 0.05). Higher levels of ATRN, PIANP, and CD48 correlated with increased PHN risk, whereas elevated KIR2DL5A, GPI, SEMG2, EIF4B, and HFE2 levels were associated with reduced risk. Sensitivity analyses supported these findings and excluded genetic pleiotropy as a major confounding factor. Colocalization analysis did not detect shared causal variants (PPH4 < 0.8). CONCLUSION: These results suggest a potential causal role for eight plasma proteins in PHN pathogenesis. While these proteins may serve as biomarkers or therapeutic candidates, further validation is required. This study advances understanding of PHN pathophysiology and supports future investigations into diagnostic and therapeutic strategies.

Mendelian randomization↗

[Latent autoimmune diabetes in adults in Iceland: prevalence, phenotype and relatedness].

INTRODUCTION: Ninety percent of diabetic individuals in Iceland suffer from type 2 diabetes mellitus. Antibodies against ss-cell components characterise type 1 diabetes, but these antibodies are also found in type 2 diabetic individuals, defined as latent autoimmune diabetes in adults or LADA. The purpose of this investigation was to estimate the prevalence of LADA in Iceland and to describe the phenotype and relatedness of these individuals. MATERIAL AND METHODS: A list of individuals diagnosed with type 2 diabetes was generated from outpatient clinic lists and the Reykjavik Study of the Icelandic Heart Association. A genealogy database (Book of Icelanders; deCODE Genetics) was used to identify all individuals related to these index cases within six meioses. This method identified 950 type 2 diabetic individuals during the years 1998-2000. We analyzed their phenotype and measured glutamic acid decarboxylase antibody (GAD). Kinship coefficient was used to compare the relatedness of those with antibodies to GAD to the relatedness of all type 2 diabetic individuals in the study. RESULTS: 10.1% of men and 9.3% women had measurable antibodies against GAD (non-significant difference). The mean age of GAD positive and GAD negative individuals was comparable (67.1 +/- 10.7 and 68.0 +/- 11.3; years +/- SD). Body mass index was significantly lower (p=0,02) for the GAD positive individuals or 28.2 kg/m(2) (27.2-29.2; 95% CI) vs. 29.7 (29.3-30.1). Of the GAD positive individuals, 47% +/- 9% (95% CI) had the metabolic syndrome as defined by WHO compared with 60 +/- 4% of the GAD negative individuals (p=0.02). The kinship coefficient for GAD positive individuals (n=94) was 6.00x10(-4) compared with 3.93x10(-4) +/- 8.3x10(-5) for 500 random samples (each of 94 individuals) of the whole cohort (p=0.008). CONCLUSION: About 10% of Icelandic type 2 diabetic individuals have antibodies against GAD, which is comparable to the results of other investigators. Icelandic GAD positive type 2 diabetic individuals have less frequently the metabolic syndrome than other type 2 diabetic individuals and GAD positive individuals are significantly more related to each other than type 2 diabetic individuals in general.

Adult↗

[Scientific output of Landspítali University Hospital.].

INTRODUCTION: The study describes an assessment of scientific activity in Landspítali University Hospital for the period 1999-2003. METHODS: Bibliometrical methods were used to assess the quantity and quality of the scientific output for Iceland and the three main institutions active in medical sciences, Landspítali University Hospital, (LUH), deCODE genetics (dCg) and the Icelandic Heart Association (IHS). All papers registered in the International Scientific Information (ISI) database with an author affiliated with these institutions were counted and classified. The number of citations were counted in Science Citation Index (SCI). RESULTS: ISI publications for Iceland 1999-2003 were 2094, thereof 517 (25%) from LSH, 102 (5%) from dCg and 35 (1,7%) from IHS. Medical sciences accounted for 147 (33%) of the total in 2001. During the period 1981-2003 the total output of papers from Iceland increased from 0,01 to 0,07% and the total number of citations from 0,01 to 0,09% of the total world production. During the period 1994-98 papers from clinical medicine in Iceland were ranked 1st in the world with 6,7 mean citations when the world mean was 4,1. Molecular biology and genetics were ranked 10th. CONCLUSION: The assessment shows that the LUH is a leading knowledge institution in Iceland. The international comparision shows that Iceland is among the top 10 nations in quantity and quality of medical research.

English Abstract↗

Functional genetic selection of the decoding center in E. coli 16S rRNA.

Ribosomal RNAs (rRNAs) play crucial roles in protein biosynthesis. The decoding center of 16S rRNA in 30S subunit affords a place for interaction between mRNA and tRNA, and contributes to the fidelity of the decoding by monitoring the codon-anticodon base pairing. The helices 18 and 44 in 16S rRNA are known to be major components of the decoding center. To investigate functional role of the conserved sequence in rRNAs, we employed a new genetic method that allows us to identify and select from randomized E. coli rRNA libraries those rRNA sequences absolutely required for the ribosome function. Functional consensus sequences were identified in both helices, providing us with a new insight into the decoding mechanism.

Escherichia coli↗

How the role of computing is driving new genetics' public policy.

In this paper we will examine some ethical aspects of the role that computers and computing increasingly play in new genetics. Our claim is that there is no new genetics without computer science. Computer science is important for the new genetics on two levels: (1) from a theoretical perspective, and (2) from the point of view of geneticists practice. With respect to (1), the new genetics is fully impregnate with concepts that are basic for computer science. Regarding (2), recent developments in the Human Genome Project (HGP) have shown that computers shape the practices of molecular genetics; an important example is the Shotgun Method's contribution to accelerating the mapping of the human genome. A new challenge to the HGP is provided by the Open Source Philosophy (I computer science), which is another way computer technologies now influence the shaping of public policy debates involving genomics.

Access to Information↗

Genome vikings.

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Chromosome Mapping↗

Mistranslating tRNA variants impact the proteome and phosphoproteome of Saccharomyces cerevisiae.

Transfer RNAs (tRNAs) ensure accurate decoding of the genetic code. However, mutations in tRNAs can lead to mis-incorporation of an amino acid that differs from the genetic message in a process known as mistranslation. As mistranslating tRNAs modify how the genetic message is decoded, they have potential as therapeutic tools for diseases caused by nonsense and missense mutations. Despite this, they also produce proteome-wide mis-made proteins which can disrupt proteostasis. To better understand the impact of mistranslating tRNA variants, we profile the proteome and phosphoproteome of yeast expressing three different mistranslating tRNAs. While the overall impacts were similar, the extent of growth defects and proteome changes varied with the substitution type. Although the global impacts were modest, mistranslation influenced key cellular processes, including proteostasis, cell cycle and translation. These findings highlight the need to consider cellular consequences when developing mistranslating tRNAs for therapeutic applications.

mass spectrometry↗