PubMed · 13957997
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T H JUKES. 1963. The genetic code.. https://pubmed.ncbi.nlm.nih.gov/13957997/
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Amino acid (AA) profiles from body fluids such as blood and urine are clinical indicators for diagnosing metabolic and hepatic diseases. Current quantitative methods, such as liquid chromatography-mass spectrometry (LC-MS) with isotopically labelled internal standards (ISs), are costly and technically demanding. This study proposes a cost-efficient alternative using structural isomers as ISs in a direct liquid infusion (DLI) tandem mass spectrometry (MS/MS) approach. The method leverages chimeric spectra and fragment intensity ratios to quantify AAs, demonstrating high linearity and precision even with a 3D ion trap mass analyser. This approach offers a viable strategy for AA quantification in preventive medicine, particularly for screening metabolic diseases such as phenylketonuria, diabetes, and liver dysfunction.
In biotin biosynthesis, DAPA aminotransferase encoded by the bioA gene catalyzes the formation of the intermediate 7,8-diaminopelargonic acid (DAPA) from 7-keto-8-aminopelargonic acid (KAPA). DAPA aminotransferases from Escherichia coli, Serratia marcescens, and Bacillus sphaericus use S-adenosylmethionine (SAM) as the amino donor. Our observation that SAM is not an amino donor for B. subtilis DAPA aminotransferase led to a search for an alternative amino donor for this enzyme. Testing of 26 possible amino acids in a cell-free extract assay revealed that only l-lysine was able to dramatically stimulate the in vitro conversion of KAPA to DAPA by the B. subtilis DAPA aminotransferase. The K(m) for lysine and KAPA was estimated to be between 2 and 25 mM, which is significantly higher than the K(m) of purified E. coli BioA for SAM (0.15 mM). This higher requirement for lysine resulted in accumulation of KAPA during fermentation of B. subtilis biotin producing strains. However, this pathway bottleneck could be relieved by either addition of exogenous lysine to the medium or by introduction of lysine deregulated mutations into the production strains.
The levels of cellular organization in living organisms are the results of a variety of selection pressures. We have investigated here the final outcome of this integrated selective process in proteins of the best known microbial models Escherichia coli, Bacillus subtilis, and Methanococcus jannaschii, supposed to have undergone separate evolution for more than 1 billion years. Using multivariate analysis methods, including correspondence analysis, we studied the overall amino acid composition of all proteins making a proteome. Starting from and further developing previous results that had pointed out some general forces driving the amino acid composition of the proteomes of these model bacteria, we explored the correlations existing between the structure and functions of the proteins forming a proteome and their amino acid composition. The electric charge of amino acids measured against hydrophobicity creates a highly homogeneous cluster, made exclusively of proteins that are core components of the cytoplasmic membrane of the cell (integral inner membrane proteins). A second bias is imposed by the G+C content of the genome, indicating that protein functions are so robust with respect to amino acid changes that they can accommodate a large shift in the nucleotide content of the genome. A remarkable role of aromatic amino acids was uncovered. Expressed orphan proteins are enriched in these residues, suggesting that they might participate in a process of gain of function during evolution.