When the isotopic abundance or specific activity of a labeled compound is determined by mass spectrometry (MS), it is necessary to correct the raw MS data to eliminate ion intensity contributions, which arise from the presence of heavy isotopes at natural abundance (e.g., a typical carbon compound contains ~1.1% (13) C per carbon atom). The most common approach is to employ a correction in which the mass-to-charge distribution of the corresponding unlabeled compound is used to subtract the natural abundance contributions from the raw mass-to-charge distribution pattern of the labeled compound. Following this correction, the residual intensities should be due to the presence of the newly introduced labeled atoms only. However, this will only be the case when the natural abundance mass isotopomer distribution of the unlabeled compound is the same as that of the labeled species. Although this may be a good approximation, it cannot be accurate in all cases. The implications of this approximation for the determination of isotopic abundance and specific activity have been examined in practice. Isotopically mixed stable-atom labeled valine batches were produced, and both these and [(14) C6 ]carbamazepine were analyzed by MS to determine the extent of the error introduced by the approach. Our studies revealed that significant errors are possible for small highly-labeled compounds, such as valine, under some circumstances. In the case with [(14) C6 ]carbamazepine, the errors introduced were minor but could be significant for (14) C-labeled compounds with particular isotopic distributions. This source of systematic error can be minimized, although not eliminated, by the selection of an appropriate isotopic correction pattern or by the use of a program that varies the natural abundance distribution throughout the correction.
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ACS Synth Biol
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State Key Laboratory of Fine Chemicals, Frontiers Science Centre for Smart Materials Oriented Chemical Engineering, School of Bioengineering, Dalian University of Technology, Dalian 116024, China.
Cannabichromene (CBC), a valuable but extremely low-abundance component of cannabinoids in L., is known for its ability to promote neurogenesis. The scarcity of CBC in natural is primarily attributed to the inefficiency of the 1-deoxy-D-xylulose 5-phosphate/2-C-methyl-D-erythritol 4 phosphate (DOXP/MEP) and fatty acid metabolism pathways, along with the limited competitive advantage of cannabichromenic acid synthetase (CBCAS) compared to other cannabinoid synthases.
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Institute of Food Science and Engineering, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Since the natural supply of iron is low, microorganisms acquire iron by secreting siderophores. is known for its abundant secondary metabolites containing various types of siderophores, including hydroxamate, catecholate, and carboxylate. These siderophores are mainly synthesized through the nonribosomal peptide synthase (NRPS) and non-NRPS pathways and are regulated by ferric uptake regulator and diphtheria toxin regulators.
View Article and Find Full Text PDFPLoS One
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Department of Forestry, University of Gondar, Gondar, Ethiopia.
Owing to its topographic variations, Ethiopia is a biodiversity-rich country. However, the long-term degradation of resources has resulted in isolated forest patches largely around sacred places. Thus, this work was aimed to evaluate the plant community formation and structural dynamics of the Abraham Sacred Forest patch.
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Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Jilin University, Changchun, 130062, China.
Microbial transmission from mother to infant is important for offspring microbiome formation and health. However, it is unclear whether maternal gut inflammation (MGI) during lactation influences mother-to-infant microbial transmission and offspring microbiota and disease susceptibility. In this study, it is found that MGI during lactation altered the gut microbiota of suckling pups by shaping the maternal microbiota in the gut and mammary glands.
View Article and Find Full Text PDFMetab Brain Dis
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The Second Affiliated Hospital of Guilin Medical University, Guilin Medical University, Guilin, 541199, Guangxi, China.
Type 2 diabetes (T2D) is an important risk factor for brain cognitive impairment, but the specific mechanism is still unclear. The imbalance of gut microbiota under pathological conditions (such as an increase in pathogenic bacteria) may be involved in the occurrence of various diseases. The purpose of this study is to investigate the effect of increased abundance of gut Citrobacter rodentium on cognitive function in T2D mice.
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