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PubMed1980

Codon recognition rules in yeast mitochondria.

The mitochondrial genome of Saccharomyces cerevisiae codes for 24 tRNAs. The nucleotide sequences of the tRNA genes suggest a unique set of rules that govern the decoding of the mitochondrial genetic code. The four codons of unmixed fmilies are recognized by single tRNAs that always have a U in the wobble position of the anticodon. The codons of the mixed families are read by two different tRNAs. Codons terminating in a C or U are recognized by tRNAs with a G and codons terminating in a G or A are recognized by tRNAs with a U in the corresponding positions of the anticodons. There are two exceptions to these rules. In the AUN family for isoleucine and methionine, the isoleucine tRNA has a G and the methionine tRNA has a C in the wobble position. The tRNA for the arginine CGN family also has an A in the wobble position of the anticodon. It is of interest that the CGN codons have not been found in the mitochondrial genes sequenced to date. The simplified decoding system of yeast mitochondria allows all the codons to be recognized by only 24 tRNAs.

Anticodon↗
PubMed1998

deCODE deferred.

Explore the source record for details and available documents.

Government Programs↗
PubMed1999

[Antitubercular agents].

The personally experienced development of chemotherapy for tuberculosis during the last half century represents some highlights of new knowledges and practical successes: the discovery of antituberculosis drugs; the comprehension of their actions and side effects; the exploration of mechanisms of resistance against antituberculosis agents; the evaluation of therapeutic and epidemiologic consequences of resistant strains; the decoding of the mycobacterial genetic structure. For different economic, social and psychologic reasons, the worldwide results of the battle against tuberculosis are not nearly as good as possible. AIDS is only a partial factor of this failure.

AIDS-Related Opportunistic Infections↗
PubMed2025

The impact of tokenizer selection in genomic language models.

MOTIVATION: Genomic language models have recently emerged as a new method to decode, interpret, and generate genetic sequences. Existing genomic language models have utilized various tokenization methods, including character tokenization, overlapping and nonoverlapping k-mer tokenization, and byte-pair encoding, a method widely used in natural language models. Genomic sequences differ from natural language because of their low character variability, complex and overlapping features, and inconsistent directionality. These features make subword tokenization in genomic language models significantly different from both traditional language models and protein language models. RESULTS: This study explores the impact of tokenization in genomic language models by evaluating their downstream performance on 44 classification fine-tuning tasks. We also perform a direct comparison of byte pair encoding and character tokenization in Mamba, a state-space model. Our results indicate that character tokenization outperforms subword tokenization methods on tasks that rely on nucleotide-level resolution, such as splice site prediction and promoter detection. While byte-pair tokenization had stronger performance on the SARS-CoV-2 variant classification task, we observed limited statistically significant differences between tokenization methods on the remaining downstream tasks. AVAILABILITY AND IMPLEMENTATION: Detailed results of all benchmarking experiments are available in https://github.com/leannmlindsey/DNAtokenization. Training datasets and pretrained models are available at https://huggingface.co/datasets/leannmlindsey. Datasets and processing scripts are available at doi: 10.5281/zenodo.16287401 and doi: 10.5281/zenodo.16287130.

Natural Language Processing↗
PubMed2005

High-throughput proteomics using matrix-assisted laser desorption/ ionization mass spectrometry.

It has become evident that the mystery of life will not be deciphered just by decoding its blueprint, the genetic code. In the life and biomedical sciences, research efforts are now shifting from pure gene analysis to the analysis of all biomolecules involved in the machinery of life. One area of these postgenomic research fields is proteomics. Although proteomics, which basically encompasses the analysis of proteins, is not a new concept, it is far from being a research field that can rely on routine and large-scale analyses. At the time the term proteomics was coined, a gold-rush mentality was created, promising vast and quick riches (i.e., solutions to the immensely complex questions of life and disease). Predictably, the reality has been quite different. The complexity of proteomes and the wide variations in the abundances and chemical properties of their constituents has rendered the use of systematic analytical approaches only partially successful, and biologically meaningful results have been slow to arrive. However, to learn more about how cells and, hence, life works, it is essential to understand the proteins and their complex interactions in their native environment. This is why proteomics will be an important part of the biomedical sciences for the foreseeable future. Therefore, any advances in providing the tools that make protein analysis a more routine and large-scale business, ideally using automated and rapid analytical procedures, are highly sought after. This review will provide some basics, thoughts and ideas on the exploitation of matrix-assisted laser desorption/ ionization in biological mass spectrometry - one of the most commonly used analytical tools in proteomics - for high-throughput analyses.

Computational Biology↗
PubMed2005

Attitudes about genetics in underserved, culturally diverse populations.

OBJECTIVE: New medical discoveries regarding genetic susceptibility to common chronic diseases, and the decoding of the human genome have increased public attention to genetics. What information is understood and what attitudes exist towards genetics and genetic research have not been well examined in underserved, culturally diverse communities. METHODS: To better understand attitudes and beliefs towards genetics and genetic testing in these groups, we conducted eight focus groups with 55 patients and health care workers in New York City and Westchester, N.Y., in English, Spanish, and Chinese. RESULTS: Focus group participants had limited understanding about genetics or genetic testing. Newborn screening was the least-known genetic issue, even among health care workers. Regardless of their cultural group, most participants expressed a desire for more information about genetics and genetic tests. Latinos and Chinese participants generally expressed positive attitudes towards genetic studies and genetic testing, with the possibility of preventing diseases cited as the main advantage. Black Americans and Non-Hispanic Whites reported mixed feelings about genetic research and genetic testing. Concerns expressed included: anxiety before receiving test results or waiting for a disease to develop, fear of genetic discrimination by health and life insurance companies and employers, not having the financial means to deal with genetic diseases in themselves or a sick child, concern that children and adults are having too many tests. Black Americans expressed the most concern for possibly harmful use of genetic information. CONCLUSIONS: Minority populations of diverse cultures have limited knowledge about genetics and genetic testing, would like to have more information, and are not well reached by the current educational approaches. Participants knew the least about newborn screening, a test that is mandatory in the New York State. While genetic knowledge by minority populations was perhaps not different from the level of knowledge of consumers in general, minority populations are at particular risk of being left behind because of historically poor access to information and services.

Adult↗
PubMed1997

The non-standard genetic code of Candida spp.: an evolving genetic code or a novel mechanism for adaptation?

A number of yeasts of the genus Candida translate the standard leucine-CUG codon as serine. This unique genetic code change is the only known alteration to the universal genetic code in cytoplasmic mRNAs, of either eukaryotes or prokaryotes, which involves reassignment of a sense codon. Translation of CUG as serine in these species is mediated by a novel serine-tRNA (ser-tRNACAG), which uniquely has a guanosine at position 33, 5' to the anticodon, a position that is almost invariably occupied by a pyrimidine (uridine in general) in all other tRNAs. We propose that G-33 has two important functions: lowering the decoding efficiency of the ser-tRNACAG and preventing binding of the leucyl-tRNA synthetase. This implicates this nucleotide as a key player in the evolutionary reassignment of the CUG codon. In addition, the novel ser-tRNACAG has 1-methylguanosine (m1G-37) at position 37, 3' to the anticodon, which is characteristic of leucine, but not serine tRNAs. Remarkably, m1G-37 causes leucylation of the ser-tRNACAG both in vitro and in vivo, making the CUG codon an ambiguous codon: the polysemous codon. This indicates that some Candida species tolerate ambiguous decoding and suggests either that (i) the genetic code change has not yet been fully established and is evolving at different rates in different Candida species; or (ii) CUG ambiguity is advantageous and represents the final stage of the reassignment. We propose that such dual specificity indicates that reassignment of the CUG codon evolved through a mechanism that required codon ambiguity and that ambiguous decoding evolved to generate genetic diversity and allow for rapid adaptation to environmental challenges.

Adaptation, Physiological↗
PubMed1991

Quantitation of readthrough of termination codons in yeast using a novel gene fusion assay.

A simple quantitative in vivo assay has been developed for measuring the efficiency of translation of one or other of the three termination codons. UAA, UAG and UGA in Saccharomyces cerevisiae. The assay employs a 3-phosphoglycerate kinase-beta-galactosidase gene fusion, carried on a multicopy plasmid, in which the otherwise retained reading frame is disrupted by one or other of the three termination codons. Termination readthrough is thus quantitated by measuring beta-galactosidase in transformed strains. Using these plasmids to quantitate the endogenous levels of termination readthrough we show that readthrough of all three codons can be detected in a non-suppressor (sup+) strain of S. cerevisiae. The efficiency of this endogenous readthrough is much higher in a [psi+] strain than in a [psi-] strain with the UGA codon being the leakiest in the nucleotide context used. The utility of the assay plasmids for studying genetic modifiers of nonsense suppressors is also shown by their use to demonstrate that the cytoplasmic genetic determinant [psi+] broadens the decoding properties of a serine-inserting UAA suppressor tRNA (SUQ5) to allow it to translate the other two termination codons in the order of efficiency UAA greater than UAG greater than UGA.

Antisense Elements (Genetics)↗
PubMed2001

Homeobox genes in normal and malignant cells.

Homeobox genes are transcription factors primarily involved in embryonic development. Several homeobox gene families have so far been identified: Hox, EMX, PAX, MSX as well as many isolated divergent homeobox genes. Among these, Hox genes are most intriguing for having a regulatory network structure organization. Recent indications suggest the involvement of homeobox genes in (i) crucial adult eukariotic cell functions and (ii) human diseases, spanning from diabetes to cancer. In this review we will discuss the mechanisms through which homeobox genes act, and will propose a model for the function of the Hox gene network as decoding system for achieving specific genetic programs. New technologies for whole-genome RNA expression will be crucial to evaluate the clinical relevance of homeobox genes in structural and metabolic diseases.

Animals↗
PubMed2003

Comparative evolutionary genomics unveils the molecular mechanism of reassignment of the CTG codon in Candida spp.

Using the (near) complete genome sequences of the yeasts Candida albicans, Saccharomyces cerevisiae, and Schizosaccharomyces pombe, we address the evolution of a unique genetic code change, which involves decoding of the standard leucine-CTG codon as serine in Candida spp. By using two complementary comparative genomics approaches, we have been able to shed new light on both the origin of the novel Candida spp. Ser-tRNA(CAG), which has mediated CTG reassignment, and on the evolution of the CTG codon in the genomes of C. albicans, S. cerevisiae, and S. pombe. Sequence analyses of newly identified tRNAs from the C. albicans genome demonstrate that the Ser-tRNA(CAG) is derived from a serine and not a leucine tRNA in the ancestor yeast species and that this codon reassignment occurred approximately 170 million years ago, but the origin of the Ser-tRNA(CAG) is more ancient, implying that the ancestral Leu-tRNA that decoded the CTG codon was lost after the appearance of the Ser-tRNA(CAG). Ambiguous CTG decoding by the Ser-tRNA(CAG) combined with biased AT pressure forced the evolution of CTG into TTR codons and have been major forces driving evolution of the CTN codon family in C. albicans. Remarkably, most of the CTG codons present in extant C. albicans genes are encoded by serine and not leucine codons in homologous S. cerevisiae and S. pombe genes, indicating that a significant number of serine TCN and AGY codons evolved into CTG codons either directly by simultaneous double mutations or indirectly through an intermediary codon. In either case, CTG reassignment had a major impact on the evolution of the coding component of the Candida spp. genome.

Amino Acid Sequence↗
PubMed1995

Nonsense suppressor and antisuppressor mutations at the 1409-1491 base pair in the decoding region of Escherichia coli 16S rRNA.

Using a genetic selection for suppressors of a UGA nonsense mutation in trpA, we have isolated a G to A transition mutation at position 1491 in the decoding region of 16S rRNA. This suppressor displayed no codon specificity, suppressing UGA, UAG and UAA nonsense mutations and +1 and -1 frameshift mutations in lacZ. Subsequent examination of a series of mutations at G1491 and its base-pairing partner C1409 revealed various effects on nonsense suppression and frameshifting. Mutations that prevented Watson-Crick base pairing between these residues were observed to increase misreading and frameshifting. However, double mutations that retained pairing potential produced an antisuppressor or hyperaccurate phenotype. Previous studies of antibiotic resistance mutations and antibiotic and tRNA footprints have placed G1491 and C1409 near the site of codon-anticodon pairing. The results of this study demonstrate that the nature of the interaction of these two residues influences the fidelity of tRNA selection.

Base Sequence↗
PubMed1999

Selective advantages created by codon ambiguity allowed for the evolution of an alternative genetic code in Candida spp.

Several species of the genus Candida decode the standard leucine CUG codon as serine. This and other deviations from the standard genetic code in both nuclear and mitochondrial genomes invalidate the notion that the genetic code is frozen and universal and prompt the questions 'why alternative genetic codes evolved and, more importantly, how can an organism survive a genetic code change?' To address these two questions, we have attempted to reconstruct the early stages of Candida albicans CUG reassignment in the closely related yeast Saccharomyces cerevisiae. These studies suggest that this genetic code change was driven by selection using a molecular mechanism that requires CUG ambiguity. Such codon ambiguity induced a significant decrease in fitness, indicating that CUG reassignment can only be selected if it introduces an evolutionary edge to counteract the negative impact of ambiguity. We have shown that CUG ambiguity induces the expression of a novel set of stress proteins and triggers the general stress response, which, in turn, creates a competitive edge under stress conditions. In addition, CUG ambiguity in S. cerevisiae induces the expression of a number of novel phenotypes that mimic the natural resistance to stress characteristic of C. albicans. The identification of an evolutionary advantage created by CUG ambiguity is the first experimental evidence for a genetic code change driven by selection and suggests a novel role for codon reassignment in the adaptation to new ecological niches.

Adaptation, Biological↗
PubMed2002

Ribosome structure: revisiting the connection between translational accuracy and unconventional decoding.

The ribosome is a molecular machine that converts genetic information in the form of RNA, into protein. Recent structural studies reveal a complex set of interactions between the ribosome and its ligands, mRNA and tRNA, that indicate ways in which the ribosome could avoid costly translational errors. Ribosomes must decode each successive codon accurately, and structural data provide a clear indication of how ribosomes limit recruitment of the wrong tRNA (sense errors). In a triplet-based genetic code there are three potential forward reading frames, only one of which encodes the correct protein. Errors in which the ribosome reads a codon out of the normal reading frame (frameshift errors) occur less frequently than sense errors, although it is not clear from structural data how these errors are avoided. Some mRNA sequences, termed programmed-frameshift sites, cause the ribosome to change reading frame. Based on recent work on these sites, this article proposes that the ribosome uses the structure of the codon-anticodon complex formed by the peptidyl-tRNA, especially its wobble interaction, to constrain the incoming aminoacyl-tRNA to the correct reading frame.

Protein Biosynthesis↗
PubMed2000

Functional insights from the structure of the 30S ribosomal subunit and its interactions with antibiotics.

The 30S ribosomal subunit has two primary functions in protein synthesis. It discriminates against aminoacyl transfer RNAs that do not match the codon of messenger RNA, thereby ensuring accuracy in translation of the genetic message in a process called decoding. Also, it works with the 50S subunit to move the tRNAs and associated mRNA by precisely one codon, in a process called translocation. Here we describe the functional implications of the high-resolution 30S crystal structure presented in the accompanying paper, and infer details of the interactions between the 30S subunit and its tRNA and mRNA ligands. We also describe the crystal structure of the 30S subunit complexed with the antibiotics paromomycin, streptomycin and spectinomycin, which interfere with decoding and translocation. This work reveals the structural basis for the action of these antibiotics, and leads to a model for the role of the universally conserved 16S RNA residues A1492 and A1493 in the decoding process.

Anti-Bacterial Agents↗
PubMed1982

An evaluation of mitochondrial tRNA gene evolution and its relation to the genetic code.

Extensive sequence data on mitochondrial (mt) tRNAs give for the first time an opportunity to evaluate tRNA gene evolution in this organelle. Deductions from these gene structures relate to the evolution of tRNA genes in other cellular systems and to the origin of the genetic code. Mt tRNAs, in contrast to the prokaryotic nature of chloroplastic tRNA structure, can not at the present time be definitely related to either prokaryotic or eukaryotic tRNAs, probably because of a higher mutation rate in mitochondria. Fungal mt tRNAs having the same anticodon and function are generally similar enough to be considered homologous. Comparisons af all mt tRNA sequences contained in the same mitochondrion indicate that some tRNAs originated by duplication of a prototypic gene which, after divergence, led to tRNAs having different amino acid specificities. The deviant mt genetic code, although admittedly permitting a simpler decoding mechanism, is not useful in determining whether the origin of mitochondria had preceded or was derived from prokaryotes or eukaryotes, since the genetic code is variable even among mitochondria. Variants of the mt genetic code lead to speculation on the nature of the primordial code and its relation to the present "universal" code.

Animals↗
PubMed2026

Biological Mechanisms Underlying the Cardiovascular Effects of Branched-Chain Amino Acids: A Proteome-Wide Mendelian Randomization Study.

BACKGROUND: Ischemic heart disease (IHD) is the leading cause of morbidity and mortality. Branched-chain amino acids (BCAAs) are associated with higher IHD risk, but the underlying biological pathways remain unclear. OBJECTIVES: This study aims to explore these pathways using 2-step proteome-wide Mendelian randomization. METHODS: We examined the associations between genetic proxies for BCAAs and 2922 proteins in the United Kingdom Biobank Pharma Proteomics Project, supplemented by a meta-analysis with data from deCODE to identify proteins associated with BCAAs. Next, we tested their effects on IHD risk using Coronary Artery Disease Genome-wide Replication and Meta-analysis plus Coronary Artery Disease Genetics Consortium (122,733 cases and 424,528 controls) and replicated in FinnGen (31,640 cases and 187,152 controls). We conducted sensitivity analyses using genetic instruments from deCODE. Proteins associated with IHD risk and, in a consistent direction, with genetically predicted BCAAs were considered potential mediators. RESULTS: Genetic proxies for BCAAs were associated with 40 proteins. Among these, 6 proteins showed consistent evidence of mediation, including complement C1s subcomponent, coagulation factor II, granulin, proprotein convertase subtilisin/kexin type 9, sex hormone-binding globulin, and V-set and transmembrane domain-containing protein 2-like. These proteins are involved in inflammation, coagulation, lipid metabolism, and cellular stress response. All associations were robust across different analytical methods and replicated in independent datasets. Mediation analysis showed that these proteins accounted for 6.5% to 32.1% of the association between BCAAs and IHD risk. CONCLUSIONS: This study identified 6 proteins that potentially link BCAAs to IHD, implicating pathways related to inflammation, coagulation, lipid metabolism, and cellular stress responses. To our knowledge, these findings provide novel mechanistic insights into the BCAA-IHD relationship and highlight potential protein targets for future prevention and intervention strategies.

Amino Acids, Branched-Chain↗
PubMed1986

A molecular hypothesis on parallel memory function with relevance to senile dementias.

The hypothesis is presented that closely associated memories can be coded and decoded in a parallel manner analogous to genetic deoxyribonucleic acid (DNA) forming two or more different proteins from a single polynucleotide strand. Iconic, aural, and lexical stimuli could be imprinted and recovered from the same storage molecule. The described process which involved the decoding of the same neuronal DNA macromolecule two or more times but from slightly shifted reading frames has the advantage of promoting fidelity of coding and decoding. The suggested mechanism also explains why it is possible for some mnemonic elements to survive during aphasia and senile dementias, while closely linked synonymous engrams are lost.

Aphasia↗