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At least 73 records · Page 4Linked to original sources

Lessons from knockout and transgenic mice for infertility in men.

This review concentrates on the clear cases where knocking out a gene in mice has caused male infertility and thus comes near to proving that the gene plays a role in the development of sperm. Knockout mice have been created with primary defects at every stage of spermatogenesis thus creating a framework for decoding the genetic hierarchy that causes male germ cell differentiation. As well as defining essential genes in vivo experiments have defined promoter and untranslated sequences responsible for the expression of proteins at all the spermatogenic stages. In conclusion knockout mice remain the ultimate test of spermatogenic hypotheses as well as providing detailed information about this complex process.

Animals↗

Crystal structures of complexes of the small ribosomal subunit with tetracycline, edeine and IF3.

The small ribosomal subunit is responsible for the decoding of genetic information and plays a key role in the initiation of protein synthesis. We analyzed by X-ray crystallography the structures of three different complexes of the small ribosomal subunit of Thermus thermophilus with the A-site inhibitor tetracycline, the universal initiation inhibitor edeine and the C-terminal domain of the translation initiation factor IF3. The crystal structure analysis of the complex with tetracycline revealed the functionally important site responsible for the blockage of the A-site. Five additional tetracycline sites resolve most of the controversial biochemical data on the location of tetracycline. The interaction of edeine with the small subunit indicates its role in inhibiting initiation and shows its involvement with P-site tRNA. The location of the C-terminal domain of IF3, at the solvent side of the platform, sheds light on the formation of the initiation complex, and implies that the anti-association activity of IF3 is due to its influence on the conformational dynamics of the small ribosomal subunit.

Binding Sites↗

INE: a rice genome database with an integrated map view.

The Rice Genome Research Program (RGP) launched a large-scale rice genome sequencing in 1998 aimed at decoding all genetic information in rice. A new genome database called INE (INtegrated rice genome Explorer) has been developed in order to integrate all the genomic information that has been accumulated so far and to correlate these data with the genome sequence. A web interface based on Java applet provides a rapid viewing capability in the database. The first operational version of the database has been completed which includes a genetic map, a physical map using YAC (Yeast Artificial Chromosome) clones and PAC (P1-derived Artificial Chromosome) contigs. These maps are displayed graphically so that the positional relationships among the mapped markers on each chromosome can be easily resolved. INE incorporates the sequences and annotations of the PAC contig. A site on low quality information ensures that all submitted sequence data comply with the standard for accuracy. As a repository of rice genome sequence, INE will also serve as a common database of all sequence data obtained by collaborating members of the International Rice Genome Sequencing Project (IRGSP). The database can be accessed at http://www. dna.affrc.go.jp:82/giot/INE. html or its mirror site at http://www.staff.or.jp/giot/INE.html

Chromosomes, Artificial, Yeast↗

Low-salt crystallization of T7 RNA polymerase: a first step towards the transcription bubble complex.

DNA-dependent RNA polymerase is the key enzyme responsible for the biosynthesis of RNA, a process known as transcription. This process, which decodes the genetic information from DNA, is one of the most significant events in a biological system. The crystallization of both native and a chimeric T7/T3 RNAP using high salt conditions has been reported previously but these conditions proved unsuitable for DNA-RNAP complex formation since at high salt concentrations the DNA binding affinity to RNAP is reduced. A search for low-salt crystallization conditions has yielded new low-salt crystals of native T7-RNAP, a chimeric T7-RNAP (T7/T3 RNAP) which contains the T3 promoter recognition sequence, and a T7-RNAP containing an N-terminal histidine tag. The crystals, which are better suited for DNA-RNAP complex formation, belong to space group P3121 with a = 136, c = 156 A, contain a single molecule per asymmetric unit and diffract to 2.7 A resolution. Packing analysis shows that the new low-salt crystals have packing contacts similar to those observed in the high-salt T7-RNAP crystals reported previously. The diffraction anisotropicity observed in crystals of T7 RNAP is explained in term of crystal packing.

Base Sequence↗

AUA codon decoding by preferential use of tRNAIle(UAU) in Lactobacillus casei.

Modified nucleosides at the first (wobble) position of tRNA anticodons play critical roles in accurate decoding of the genetic code. In bacteria, the isoleucine AUA codon is typically decoded by tRNAIle(LAU), in which lysidine (L) at the wobble position of tRNAIle with a CAU anticodon ensures discrimination from the methionine AUG codon. However, some bacteria, such as Mycoplasma mobile, lack tRNAIle(LAU) and instead utilize tRNAIle(UAU). In this organism, the unmodified uridine at the wobble position is thought to enable specific decoding of AUA while avoiding AUG recognition. In our previous study, we identified a lactic acid bacterium in which both tRNAIle(LAU) and tRNAIle(UAU) coexist. Here, we show that tRNAIle(LAU) is scarcely aminoacylated in vivo, whereas tRNAIle(UAU) is efficiently aminoacylated. Notably, the presence of 4-thiouridine (s4U) at position 8 inhibits IleRS-dependent aminoacylation of tRNAIle(UAU) in vitro, suggesting a regulatory role of tRNA modification in this process. Moreover, tRNAIle(LAU) exhibits incomplete discrimination between AUA and AUG codons and binds to AUG in the ribosomal A-site binding assays. In contrast, tRNAIle(UAU) containing N 6-threonylcarbamoyladenosine (t6A) at position 37 showed a tendency toward improved discrimination between AUA and AUG codons and preferentially recognized AUA at the ribosomal A site. These results indicate that AUA decoding is predominantly mediated by preferential use of tRNAIle(UAU) rather than canonical tRNAIle(LAU), revealing an alternative mechanism of codon decoding based on differential utilization of tRNA isoacceptors, and providing an additional layer of translational control in bacteria.

RNA, Transfer, Ile↗

[Decoding common mechanisms of cellular genetic-epigenetic control in eukaryotes].

The mechanism of genetic epigenetic operation at genomic and chromosomic levels within the limits of imitation model of eucaryotic cellular compartment is postulated, this compartment including left and right operators. Probable pattern of interactions during reproduction, determination and expression of genes as a manifestation of genetic, epigenetic memory and memory of water is shown. A specific character and rate of transformations of nucleotides and proteins are realized through different operation mechanisms over hierarchic processes directed on the preservation of DNA in the line of cellular generations and also determining dynamics of the genome with DNA variations. The mechanism of programmed provision of genetic-epigenetic interaction lies in the ways of control, regulation, adaptation and modulation of nucleotides and proteins transformations which occur on the basis of specific (complementary, kinetic and tunnel effects) choice of directions, place, time and aim of nucleotide-nucleotide, nucleotide-protein, protein-nucleotide and protein-protein interactions.

DNA↗

Genetic characterization of frameshift suppressors with new decoding properties.

Suppressor mutants that cause ribosomes to shift reading frame at specific and new sequences are described. Suppressors for trpE91, the only known suppressible -1 frameshift mutant, have been isolated in Escherichia coli and in Salmonella typhimurium. E. coli hopR acts on trpE91 within the 9-base-pair sequence GGA GUG UGA, is dominant, and is located at min 52 on the chromosome. Its Salmonella homolog maps at an equivalent position and arises as a rarer class in that organism as compared with E. coli. The Salmonella suppressor, hopE, believed to be in a duplicate copy of the same gene, maps at min 17. The +1 suppressor, sufT, acts at the nonmonotonous sequence CCGU, is dominant, and maps at min 59 on the Salmonella chromosome.

Base Sequence↗

Advancing precision tacrolimus therapy: a systems genetics dissection in BXD platform.

BACKGROUND: Tacrolimus is a core immunosuppressant in organ transplantation, but its narrow therapeutic window and significant pharmacokinetic variability hinder precision dosing. Although CYP3A5-guided strategies have established clinical relevance for tacrolimus initial dose adjustment, they do not fully account for the marked interindividual variability in tacrolimus exposure, highlighting the need for complementary models to decode more complex genetic regulation. This study aimed to identify candidate genetic modulators of tacrolimus metabolism and develop an integrated predictive framework for individualized therapy. METHODS: Using 46 BXD recombinant inbred mouse strains, we characterized transcriptomics and machine learning, and validated key genes. We then constructed a clinical model using data from 168 renal transplant recipients. RESULTS: We identified 19 genomic loci associated with tacrolimus pharmacokinetic traits and supported DBP/CYP2A6 as candidate modulators associated with tacrolimus disposition. The clinical prediction model, incorporating these genes and clinical variables, achieved robust AUROC. CONCLUSIONS: These findings support a polygenic contribution to tacrolimus metabolism and provide an experimental and computational framework for identifying candidate modulators relevant to individualized dosing. The BXD mouse platform offers a systems-genetics approach for mechanistic discovery that may inform future translational studies on tacrolimus precision dosing.

Animals↗

cDNA analyses in the human genome project.

The ultimate goal of the human genome project is to decode all the genetic information carried in the genome. Towards this goal, the physical structure of the genome, as well as the functional aspects of the genome, must be understood. We initiated a cDNA project to collect the 'expression profiles' of all human genes, a database with which to describe which genes are expressed, and to what extent, in any given human cell at a particular time. Single-cycle sequencing of randomly selected members from a 3'-directed cDNA library is most appropriate for this purpose: the sequence data serve as a 'gene signature' to identify the expressing gene, and the frequency of appearance of the gene signature reflects the activity of the gene. The compiled data, which usually cover some 1000 sequencing results per sample, are referred to as an 'expression profile.' We applied this analysis to HepG2 (a cell line derived from a hepatocellular carcinoma), liver cells and lung cells. The expression profiles shed some light upon the unique features of gene expression in the cell or tissue tested. A comparison of the expression profiles among different cells has allowed active genes to be classified as housekeepers or those with cell-specific functions. A significant fraction of the abundantly expressed genes include those that are unique to the cell. In addition, the resulting collection of thousands of gene signatures is a useful source of probes for mapping and for isolating full-size cDNAs.

Animals↗

Identification of new genes by systematic analysis of cDNAs and database construction.

The large-scale collection of partial cDNA sequences is becoming a powerful tool in biology. Similarity or motif searches in DNA databases using these partial cDNA sequences have facilitated the discovery of new genes of interest. By collecting and registering large numbers of partial sequences with a well designed non-biased cDNA library, an expression profile of active genes in a particular tissue can be obtained. Tissue-specific or stage-specific genes can be discovered by comparing the profiles from different tissues or from a tissue at different stages of development, respectively. The compilation of such expression profiles enables genes to be mapped to the tissue(s) where they are actively transcribed. The large-scale collation of gene sequences actively expressed in the body into databases complements efforts directed towards the structural analysis of the genome, with the ultimate aim of decoding all the genetic information carried in the human genome. This cDNA strategy is also being widely applied to organisms other than man.

Animals↗

Inhibition of adenovirus early region IV transcription in vitro by a purified viral DNA binding protein.

Adenoviruses depend on cellular mechanisms for the decoding of their genetic information, and so provide a useful and simple model system for the investigation of mammalian gene expression. The five regions transcribed early in adenovirus infection are termed EIa, EIb, EII, EIII and EIV. We report here that the primary product of the EII region, a 72,000 molecular weight DNA-binding protein (DBP), specifically represses transcription from the EIV promoter in an in vitro transcription system. Single-stranded DNA binds to the DBP with high affinity, and as a result inhibits its repressor activity. Our data extend previous genetic evidence that the DBP represses EIV transcription in vivo, and suggest that it acts directly by suppressing transcription from the EIV promoter.

Adenoviridae↗

Integrative proteomic analysis provides novel therapeutic insights for etiological subtypes of diabetes.

AIMS: Type 2 diabetes (T2D) is a highly heterogeneous disease characterised by subtypes with variations in aetiology, disease progression, and risk of complications. However, potential drug targets for these subtypes have not been explored. This study aims to investigate potential drug targets by integrating proteomics. MATERIALS AND METHODS: Summary-level data of circulating proteins were extracted from the UK Biobank and the deCODE Health Study. Genetic associations with five diabetes subtypes were obtained from Swedish All New Diabetics in Scania and Malmö Diet and Cancer cohort, including severe autoimmune diabetes (SAID), severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD), and mild age-related diabetes (MARD). The associations between circulating proteins and diabetes subtypes were assessed through Mendelian randomisation, followed by multiple sensitivity and colocalization analyses. Additionally, tissue-specific, pathway and functional enrichment analysis, assessment of protein druggability, and the protein-protein interaction (PPI) networks were used to further explore biological mechanisms and therapeutic potential. RESULTS: Genetically predicted levels of 2, 2, 9, 3, and 5 circulating proteins were associated with SIRD, SIDD, MARD, MOD, and SAID, respectively. Colocalization analyses further revealed links between GRN with MARD/SIRD, LILRB5 with SIDD/MARD, CR1 with MARD, TNFSF12 with MOD, and DAPK2 with SAID. Enrichment analysis suggested that these proteins were mainly enriched in blood and adipose tissues and involved in immune and inflammatory related pathways. PPI analysis revealed GRN, TNFSF12, and DAPK2 are associated with known T2D targets. CONCLUSIONS: Our study identified several potential drug targets for different subtypes of diabetes using an integrated genetic approach, yielding new insights for precision medicine of diabetes.

Humans↗

The human genome efforts and the cDNA project.

Molecular biology has been moving swiftly toward clarifying the entire genome of organisms, including human. The human genome efforts that promote this transaction are characterized by the large-scale, high throughput production of data about the structure of the genome of the molecular level and its computer-assisted management. In addition, functional analyses of the genome have become important for decoding the entire genetic information carried in the human genome. In the functional analyses of the genome, the large-scale collection of partial cDNA sequences, the cDNA project, is becoming important, because it allows researchers to register genes active in any given tissue, on one hand, and, on the other hand, it allows for quantitative description of gene activities in tissues. Tissue-specific or stage-specific genes can be discovered by comparing expression profiles from different tissues or from a tissue at different stages of development, respectively.

DNA, Complementary↗

[Body mapping of human genes].

The ultimate goal of the human genome project to decode all the genetic information carried in the genome. Towards this goal, the physical structure of the genome, as well as the functional aspects of the genome, must be understood. We initiated a cDNA project to collect the "expression profiles" of all human genes, a database with which to describe which genes are expressed, and to what extent, in any given human cell at a particular time. Single-cycle sequencing of randomly selected members from a 3'-directed cDNA library is most appropriate for this purpose: the sequence data serve as a "gene signature" to identify the expressing gene, and the frequency of appearance of the gene signature reflects the activity of the gene. The compiled data, which usually covers some 1000 sequencing results per sample, is referred to as an "expression profile". We applied this analysis to HepG2 (a cell line derived from a hepatocellular carcinoma), liver cells and lung cells. The expression profiles shed some light upon the unique features of gene expression in the cell or tissue tested. A comparison of the expression profiles among different cells has allowed active genes to be classified as housekeepers or those with cell-specific functions. A significant fraction of the abundantly expressed genes include those that are unique to the cell. In addition, the resulting collection of thousands of gene signatures is a useful source of probes for mapping and for isolating full size cDNAs.

Cells, Cultured↗

Genetic interaction between yeast Saccharomyces cerevisiae release factors and the decoding region of 18 S rRNA.

Functional and structural similarities between tRNA and eukaryotic class 1 release factors (eRF1) described previously, provide evidence for the molecular mimicry concept. This concept is supported here by the demonstration of a genetic interaction between eRF1 and the decoding region of the ribosomal RNA, the site of tRNA-mRNA interaction. We show that the conditional lethality caused by a mutation in domain 1 of yeast eRF1 (P86A), that mimics the tRNA anticodon stem-loop, is rescued by compensatory mutations A1491G (rdn15) and U1495C (hyg1) in helix 44 of the decoding region and by U912C (rdn4) and G886A (rdn8) mutations in helix 27 of the 18 S rRNA. The rdn15 mutation creates a C1409-G1491 base-pair in yeast rRNA that is analogous to that in prokaryotic rRNA known to be important for high-affinity paromomycin binding to the ribosome. Indeed, rdn15 makes yeast cells extremely sensitive to paromomycin, indicating that the natural high resistance of the yeast ribosome to paromomycin is, in large part, due to the absence of the 1409-1491 base-pair. The rdn15 and hyg1 mutations also partially compensate for inactivation of the eukaryotic release factor 3 (eRF3) resulting from the formation of the [PSI+] prion, a self-reproducible termination-deficient conformation of eRF3. However, rdn15, but not hyg1, rescues the conditional cell lethality caused by a GTPase domain mutation (R419G) in eRF3. Other antisuppressor rRNA mutations, rdn2(G517A), rdn1T(C1054T) and rdn12A(C526A), strongly inhibit [PSI+]-mediated stop codon read-through but do not cure cells of the [PSI+] prion. Interestingly, cells bearing hyg1 seem to enable [PSI+] strains to accumulate larger Sup35p aggregates upon Sup35p overproduction, suggesting a lower toxicity of overproduced Sup35p when the termination defect, caused by [PSI+], is partly relieved.

Anti-Bacterial Agents↗