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PubMedDate not supplied

Melanocortin and leptin signaling systems: central regulation of catabolic energy balance.

The recent cloning of the ob gene (leptin) has revolutionized our understanding of obesity and the underlying factors that govern weight homeostasis. There is growing evidence that long term food intake regulation is controlled by the central nervous system by a number of peptide hormones in response to changes in leptin levels. Studies of these hormones, using both genetic and pharmacological approaches, have provided a foundation for decoding the molecular logic of the neuronal circuits which regulate food intake control and energy balance. A review of the current progress in the melanocortin-4 receptor pathway, with particular emphasis on its relation to leptin, neuropeptide Y and other obesity hormones known to modulate weight homeostasis, is presented.

Animals↗
PubMed1991

Decoding signals for membrane protein assembly using alkaline phosphatase fusions.

We have used genetic methods to investigate the role of the different domains of a bacterial cytoplasmic membrane protein, MalF, in determining its topology. This was done by analyzing the effects of MalF topology of deleting various domains of the protein using MalF-alkaline phosphatase fusion proteins. Our results show that the cytoplasmic domains of the protein are the pre-eminent topogenic signals. These domains contain information that determines their cytoplasmic location and, thus, the orientation of the membrane spanning segments surrounding them. Periplasmic domains do not appear to have equivalent information specifying their location and membrane spanning segments do not contain information defining their orientation in the membrane. The strength of cytoplasmic domains as topogenic signals varies, correlated with the density of positively charged amino acids within them.

ATP-Binding Cassette Transporters↗
PubMed2001

A new approach to decoding life: systems biology.

Systems biology studies biological systems by systematically perturbing them (biologically, genetically, or chemically); monitoring the gene, protein, and informational pathway responses; integrating these data; and ultimately, formulating mathematical models that describe the structure of the system and its response to individual perturbations. The emergence of systems biology is described, as are several examples of specific systems approaches.

Animals↗
PubMed2025

Target and biomarker exploration portal for drug discovery.

MOTIVATION: The discovery of novel drug targets and precision biomarkers remains a major challenge in drug development, with traditional differential expression analysis often overlooking key regulatory proteins. Here, we present a novel, web-based bioinformatics tool, the Target and Biomarker Exploration Portal (TBEP), designed to accelerate the drug discovery process by integrating large-scale biomedical data with network analysis techniques. RESULTS: TBEP harnesses machine-learning approaches to mine and combine multimodal datasets, including human genetics, functional genomics, and protein-protein interaction networks, to decode causal disease mechanisms and uncover novel therapeutic targets and precision biomarkers for specific phenotypes. A unique feature of the tool is its ability to process large-scale data in real-time, facilitated by an efficient cloud-based architecture. Additionally, the tool incorporates an integrated large language model (LLM), which assists researchers in exploring and interpreting complex biological relationships within the generated networks and multi-omics data using natural language (English). By offering an intuitive, interactive interface, the LLM enhances the exploration of biological insights, making it easier for scientists to derive actionable conclusions. This powerful integration of network analysis, multi-omics data, and LLM provides a robust framework for accelerating the identification of novel drug targets. AVAILABILITY AND IMPLEMENTATION: The tool is publicly available at https://tbep.missouri.edu. The source code, documentation and installation instructions are available at GitHub repository: https://github.com/mizzoudbl/tbep.

Drug Discovery↗
PubMed1999

The Escherichia coli trmE (mnmE) gene, involved in tRNA modification, codes for an evolutionarily conserved GTPase with unusual biochemical properties.

The evolutionarily conserved 50K protein of Escherichia coli, encoded by o454, contains a consensus GTP-binding motif. Here we show that 50K is a GTPase that differs extensively from regulatory GTPases such as p21. Thus, 50K exhibits a very high intrinsic GTPase hydrolysis rate, rather low affinity for GTP, and extremely low affinity for GDP. Moreover, it can form self-assemblies. Strikingly, the 17 kDa GTPase domain of 50K conserves the guanine nucleotide-binding and GTPase activities of the intact 50K molecule. Therefore, the structural requirements for GTP binding and GTP hydrolysis by 50K are without precedent and justify a separate classification in the GTPase superfamily. Immunoelectron microscopy reveals that 50K is a cytoplasmic protein partially associated with the inner membrane. We prove that o454 is allelic with trmE, a gene involved in the biosynthesis of the hypermodified nucleoside 5-methylaminomethyl-2-thiouridine, which is found in the wobble position of some tRNAs. Our results demonstrate that 50K is essential for viability depending on the genetic background. We propose that combination of mutations affecting the decoding process, which separately do not reveal an obvious defect in growth, can give rise to lethal phenotypes, most likely due to synergism.

Base Sequence↗
PubMed1998

A kirromycin-resistant EF-Tu species reverses streptomycin dependence of Escherichia coli strains mutated in ribosomal protein S12.

Streptomycin dependence can be caused by mutations in ribosomal protein S12. Mutations suppressing such streptomycin dependence have been found in ribosomal proteins S4 and S5, and in 16S rRNA. Here a new suppressor mutation localized in elongation factor Tu (EF-Tu) is described, consistent with recent models of ribosome-EF-Tu-tRNA interaction at the decoding centre. The EF-Tu mutation was obtained by genetic selection for streptomycin independence; it was identified as Ala375 --> Thr, previously described as EF-TuA(R) and known to confer a kirromycin-resistant, error-prone phenotype. Also, other streptomycin-dependent (SmD) S12 mutations could be complemented by this mutation. The streptomycin-independent (Sm1) strain grows more slowly than the wild-type (wt), suggesting that not all the defects of the S12 mutation can be complemented by EF-Tu[A375T]. Moreover, this strain is more susceptible than wt to reduction in the cellular EF-Tu concentration, and disruption of tufB led to considerable growth-rate impairment. Expression of EF-Tu from tufB, not only of wt EF-Tu and EF-Tu[A375T] but, remarkably, also of EF-Tu[G222D], known as EF-TuB0 and defective in protein synthesis, equally contributed to cell growth. In vitro analysis revealed a decreased translational activity of wt EF-Tu with SmD ribosomes as compared to EF-Tu[A375T], while EF-Tu[G222D] showed no activity at all, just as with wt ribosomes. Possible mechanisms are discussed for the improved growth rate observed in such Sm1 strains when they include wt EF-Tu or EF-Tu[G222D].

Anti-Bacterial Agents↗
PubMedDate not supplied

Self-description and the origin of the genetic code.

The genetic code presents an important conceptual challenge within the broader context of the origin of life. Translation of genetic information captures a fundamental property of living systems, i.e. the ability of decoding proteins (e.g. aminoacyl-tRNA synthetases) to reproduce themselves from self-contained RNA/DNA descriptors. Silvano Colombano and I, as graduate students with Howard Pattee in the 1970s, focused on achieving this closure of self-description and self-reproduction in the genetic code. Simulation and analysis of competitive models that allowed alternate code assignments, exploring initial conditions, arbitrary descriptor-catalyst relationships, and degree of non-linearity, indicated that these dynamical systems undergo bifurcations, transforming initial ambiguous stable states to unstable states. New, stable, steady states, progressively closer to a code, became available as the descriptor parameters were varied. The efficiency of utilization of raw materials for the production of a coding family of catalysts is proposed as a selection criterion that drives such systems towards a coded state.

Amino Acyl-tRNA Synthetases↗
PubMed1999

The presence of pseudouridine in the anticodon alters the genetic code: a possible mechanism for assignment of the AAA lysine codon as asparagine in echinoderm mitochondria.

It has been inferred from DNA sequence analyses that in echinoderm mitochondria not only the usual asparagine codons AAU and AAC, but also the usual lysine codon AAA, are translated as asparagine by a single mitochondrial (mt) tRNAAsn with the anticodon GUU. Nucleotide sequencing of starfish mt tRNAAsn revealed that the anticodon is GPsiU, U35 at the anticodon second position being modified to pseudouridine (Psi). In contrast, mt tRNALys, corresponding to another lysine codon, AAG, has the anticodon CUU. mt tRNAs possessing anti-codons closely related to that of tRNAAsn, but responsible for decoding only two codons each-tRNAHis, tRNAAsp and tRNATyr-were found to possess unmodified U35 in all cases, suggesting the importance of Psi35 for decoding the three codons. Therefore, the decoding capabilities of two synthetic Escherichia coli tRNAAla variants with the anticodon GPsiU or GUU were examined using an E.coli in vitro translation system. Both tRNAs could translate not only AAC and AAU with similar efficiency, but also AAA with an efficiency that was approximately 2-fold higher in the case of tRNAAlaGPsiU than tRNAAlaGUU. These findings imply that Psi35 of echinoderm mt tRNAAsn actually serves to decode the unusual asparagine codon AAA, resulting in the alteration of the genetic code in echinoderm mitochondria.

Amino Acid Substitution↗
PubMedDate not supplied

An oligonucleotide analog approach to the decoding region of 16S rRNA.

Despite the passage of about 30 years since the discovery of the translational activities of ribosomes and the outlining of the roles of the large and small subunits, the actual molecular basis for the mRNA decoding activities of the small subunit has remained essentially obscure. In this paper, we describe a new approach using oligonucleotide analogs of 16S ribosomal RNA, in which the small ribosomal subunit is effectively deconstructed into a smaller more experimentally tractable form. Specifically, we review the results of experiments using an oligonucleotide analog of the decoding region of 16S ribosomal RNA, suggesting that the decoding region is the functional core of the small subunit, that it contacts both mRNA codons and tRNA anticodons, and that it mediates and probably enhances codon-anticodon base pairing, that is, decoding.

Base Sequence↗
PubMed2025

Genetic Downregulation of Interleukin-6 Signaling, Coagulation Function, and Risk of Thromboembolic Disease.

BACKGROUND: Although genetic evidence supports IL-6 (interleukin-6) signaling inhibition as protective against atherosclerotic disease, its potential effects on thromboembolic outcomes are not well established. We conducted a Mendelian randomization analysis to investigate the association of genetically proxied IL-6 signaling inhibition with venous thromboembolism, cardioembolic stroke, and coagulation cascade protein levels. METHODS: IL-6 signaling inhibition was proxied using the rs2228145 IL6R missense variant, which impairs classical IL-6 signaling and lowers CRP (C-reactive protein) levels. Genetic associations with thromboembolic disease outcomes were obtained from genome-wide association studies of venous thromboembolism (81 190 cases) and cardioembolic stroke (10 804 cases). As atherosclerotic comparator traits, we included coronary artery disease (181 522 cases) and large-artery atherosclerotic stroke (6399 cases). Genetic associations with 35 coagulation cascade protein levels were obtained from the UK Biobank (n=6218) and deCODE cohorts (n=35 559). Mendelian randomization estimates were derived using the Wald ratio method, scaled per 1-unit decrease in natural log-transformed CRP levels. RESULTS: Genetically proxied IL-6 signaling inhibition was associated with increased risk of venous thromboembolism (odds ratio [OR], 1.31 [95% CI, 1.16-1.47], P=6.5×10-6) but not with cardioembolic stroke (OR, 1.25 [95% CI, 0.73-2.14], P=0.42). Conversely, protective associations were observed for both coronary artery disease and large-artery atherosclerotic stroke. Proteomic analyses demonstrated significant reductions in levels of 5 procoagulant and 7 anticoagulant or antifibrinolytic proteins. CONCLUSIONS: These findings suggest that IL-6 signaling inhibition dysregulates coagulation homeostasis and increases venous thromboembolism risk. Further experimental, translational, and epidemiologic studies are warranted to delineate underlying mechanisms and to evaluate thromboembolic safety in pharmacologic IL-6 signaling inhibition.

Humans↗
PubMed2026

Associations of genetically predicted interleukin-6 and tumor necrosis factor signaling pathways with mortality among persons with colorectal cancer: a two-sample Mendelian randomization.

BACKGROUND: Despite significant progress in identifying risk factors for colorectal cancer (CRC), factors influencing survival in people with CRC remain less understood. Pro-inflammatory cytokines like interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) have been implicated in cancer progression and may influence CRC outcomes. We investigated associations between genetically predicted levels of IL-6 and TNF-α signaling pathways and mortality in people with CRC. METHODS: We conducted a two-sample Mendelian randomization (MR) analysis using cis-acting single nucleotide polymorphisms (SNPs) associated with soluble IL-6 receptor alpha (sIL6-RA) and IL-6 signal transducer gp130 (IL6ST), representing IL-6 signaling, and with TNF-α, and its soluble receptors (sTNF-R1, sTNF-R2). SNPs were obtained separately from two large genome-wide association studies (GWAS): deCODE and UK Biobank (UKB). The outcome was CRC-specific mortality among 16,964 CRC cases (4010 deaths) in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Analyses were stratified by tumor site and stage. The inverse variance weighted (IVW) method, incorporating a correlation matrix for dependent SNPs, was used for primary analyses. Because literature links TNF-α to CRC incidence, we additionally performed a simulation study to evaluate the potential impact of collider bias resulting from restricting analyses to CRC cases. RESULTS: Genetically predicted sIL6-RA was weakly positively associated with CRC-specific mortality (deCODE-SNPs (n = 13) HR per 1 SD increase: 1.06; 95% CI: 1.00-1.12; UKB-SNPs (n = 11) HR: 1.09; 95% CI: 1.02-1.17). Genetically proxied IL6ST levels showed no association with CRC-specific mortality in the overall sample (deCODE-SNPs (n = 19) HR: 1.04; 95% CI: 0.90-1.21; UKB-SNPs (n = 9) HR: 1.11; 95% CI: 0.87-2.42), while higher IL6ST levels were associated with increased mortality among patients with stage 2/3 disease (deCODE-SNPs (n = 19) HR: 1.45; 95% CI: 1.10-1.91; UKB-SNPs (n = 9) HR: 1.87; 95% CI: 1.22-2.89). No associations were observed for TNF-α, sTNF-R1, or sTNF-R2. Findings for all exposures were consistent across both GWAS datasets. Simulation analyses for TNF-α indicated collider bias was present but limited in magnitude. CONCLUSIONS: Our findings suggest that IL-6 signaling may play a role in CRC progression although of limited magnitude, whereas TNF-related pathways appear less relevant for prognosis.

Humans↗
PubMed1986

Primordial reading of genetic information.

From the consideration of general features of the anticodon loop and stem in tRNA and the properties of present-day translation, we put forward a plausible scenario to explain the evolution of the genetic code from a highly ambiguous triplet code to the present refined decoding system. Our model based on the reading of the code suggests that the anticodon of primordial tRNA could adopt either the 3' or the 5' stacked conformation permitting the formation of the "best two out of three" base pairs, either the first and second codon position or the second and third. Progressive acquisition of precise structural constraint and the modification of bases in the anticodon loop would give way eventually to the less ambiguous "two out of three" reading mechanism having only the 3' stacked conformation. Further adjustments of base composition and modification leads inevitably to the present generalized code. In this way the primordial code encoding 4-8 amino acids or related derivates evolves smoothly to the present code having 20 amino acids.

Biological Evolution↗
PubMed1996

Mutations in yeast ribosomal proteins S28 and S4 affect the accuracy of translation and alter the sensitivity of the ribosomes to paromomycin.

Ribosomal proteins S12, S5 and S4 of Escherichia coli are essential for the control of translational accuracy. Their yeast equivalents, i.e., S28, S4 and S13, have also been implicated in this process. Using a poly(U)-dependent cell-free translation system, we determined the accuracy of translation and the sensitivity to antibiotic paromomycin of yeast ribosomes carrying mutant ribosomal proteins S28 and/or S4. Our results confirm by quantitative biochemical methods previous genetic data showing that proteins S28 and S4 are involved in the decoding activity of the ribosome and interact to control translational accuracy. We find that the suppressor mutation SUP44 in yeast S4, decreased the accuracy of translation. To examine the effect of mutant S28, we disrupted RPS28B and introduced in RPS28A the same substitutions that cause hyperaccurate translation or antibiotic resistance in bacteria. Three of these substitutions (Lys-62-->Asn, Thr or Gln) similarly increased translational accuracy in vitro or antibiotic resistance. In the presence of the SUP44 mutation, these substitutions partially reversed the decrease of translational accuracy caused by SUP44. However, the Lys-62-->Arg substitution decreased translational accuracy and caused antibiotic sensitivity both in nonsuppressor and in SUP44 haploids. These results establish the role of Lys-62 of S28 in optimizing translational accuracy and provide a more precise view of the functional role of two important ribosomal proteins.

Anti-Bacterial Agents↗
PubMed1996

Three, four or more: the translational stop signal at length.

Translational stop signals are defined in the genetic code as UAA, UAG and UGA, although the mechanism of their decoding via protein factors is clearly different from that of the other codons. There are strong biases in the upstream and downstream nucleotides surrounding stop codons. Experimental tests have shown that termination-signal strength is strongly influenced by the identity of the nucleotide immediately downstream of the codon (+4), with a correlation between the strength of this four-base signal and its occurrence at termination sites. The +4 nucleotide and other biases downstream of the stop codon may reflect sites of contact between the release factor and the mRNA, whereas upstream biases may be due to coding restrictions, with the release factor perhaps recognizing the final tRNA and the last two amino acids of the polypeptide undergoing synthesis. This means that the translational stop signal is probably larger than the triplet codon, but its exact length will be clearer when it is known which nucleotides are in direct contact with the release factor. Ultimately it will be defined exactly when a crystal structure of the release factor with its recognition substrate becomes available.

Codon, Terminator↗
PubMed1997

Beyond the wobble: the rule of conjugates.

A reexamination of the genetic code suggests a rule of conjugates which captures the observed quartet degeneracies without exception. Adenine is the conjugate of cytosine and uracil is the conjugate of guanine. Further analysis reveals that the rule of conjugates is a macrolevel manifestation of the molecular-level hydrogen-bonding and base-stacking interactions at the decoding site. This new perspective is of significance to evolutionary discussions of nucleic acid bases, genetic code, and interactions involving RNAs.

Adenine↗
PubMed1998

Multivariate behavioral genetic analysis of achievement and cognitive measures in reading-disabled and control twin pairs.

In recent years behavioral genetic studies have provided conclusive evidence that reading disability and related learning disorders, such as mathematics disability, are due at least in part to heritable factors (DeFries et al. 1987; Alarcón et al. 1997). Although the observed relationship between performance in these areas also may be due substantially to genetic influences (Light and DeFries 1995; Thompson et al. 1991), relatively few studies have examined the genetic and environmental etiology of this covariation in a multivariate framework. In the present study data from 196 identical (monozygotic; MZ) and 155 same-sex fraternal (dizygotic; DZ) twin pairs in which at least one member of each pair evidenced reading problems in school (reading disabled) were subjected to a multivariate behavioral genetic analysis. Structural equation models were fitted to twin data for verbal IQ (VIQ), phonological decoding ability (PHON), reading performance (READ), and mathematics performance (MATH) to assess the extent to which VIQ and PHON mediate the observed covariation between READ and MATH. Results suggest that VIQ and PHON account for most of the covariation between READ and MATH. Moreover, approximately 82% of the observed correlation between READ and MATH was due to genetic factors that also influence VIQ and PHON. When data from 132 MZ and 91 same-sex DZ control twin pairs in which neither twin had a history of reading problems were subjected to the same analyses, the covariation between READ and MATH was found to be due to both genetic and shared environmental influences. Thus genetic factors that influence VIQ and PHON also contribute to the observed covariation between READ and MATH in both a reading-disabled and a control twin sample.

Achievement↗
PubMed2026

Molecular Determinants and Therapeutic Targeting of Stop Codon Readthrough in Eukaryotic Translation.

Accurate translation termination is essential for proteome integrity and in eukaryotes is primarily governed by the release factors eRF1 and eRF3, which ensure precise recognition of stop codons and efficient release of nascent polypeptides. However, proteome integrity is challenged by mutations that generate premature termination codons (PTCs), leading to truncated, nonfunctional proteins and degradation of the aberrant transcript via nonsense-mediated mRNA decay (NMD). Collectively, these events account for ∼1800 human genetic diseases. Translational readthrough, the process by which near-cognate tRNAs decode stop codons and allow ribosomes to continue elongation beyond the stop codon, represents a possibility to suppress PTCs and restore full-length protein synthesis. Initially discovered in viruses as a mechanism to expand coding capacity, readthrough is now recognized as a regulated feature of eukaryotic gene expression influenced by both cis-acting sequence elements and trans-acting factors. Recent evidence highlights the remarkable context dependence of readthrough, revealing variation across transcripts, tissues, and developmental stages. In this review, we examine the molecular determinants that define stop codon recognition and readthrough efficiency, with particular emphasis on nucleotide context. We further discuss the mechanisms and binding sites of small molecules that promote PTC readthrough, and summarize the clinical development landscape of readthrough-inducing compounds for the treatment of diseases caused by nonsense mutations.

Humans↗