We developed a new multiplexed reversed phase liquid chromatography-high resolution tandem mass spectrometric (LC-MS/MS) method. The method is based on isobaric labeling with a tandem mass tag (TMT10-plex) and stable isotope-labeled internal standards, and was used to analyze amino acids in mouse brain microdialysis samples. The TMT10-plex labeling of amino acids allowed analysis of ten samples in one LC-MS/MS run, significantly increasing the sample throughput. The method provides good chromatographic performance (peak half-width between 0.04-0.12 min), allowing separation of all TMT-labeled amino acids with acceptable resolution and high sensitivity (limits of detection typically around 10 nM). The use of stable isotope-labeled internal standards, together with TMT10-plex labeling, ensured good repeatability (relative standard deviation ≤ 12.1 %) and linearity (correlation coefficient > 0.994), indicating good quantitative performance of the multiplexed method. The method was applied to study the effect of d-amphetamine microdialysis perfusion on amino acid concentrations in the mouse brain. All amino acids were reliably detected and quantified, indicating that the method is sensitive enough to detect low concentrations of amino acids in brain microdialysis samples.
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http://dx.doi.org/10.1016/j.chroma.2021.462537 | DOI Listing |
Chem Sci
January 2025
Discovery Chemistry, Merck & Co., Inc. Rahway New Jersey 07065 USA
This manuscript describes a strategy to readily access diverse aryl and homoaryl alanine-containing pharmaceutically relevant macrocyclic peptides. A two-step sequence involving the late-stage installation of the pyridinium functionality on macrocyclic peptides followed by reductive couplings was implemented. These transformations are amenable to microscale high-throughput experimentation (HTE) and enable rapid access to aryl alanine-containing macrocyclic peptides that would otherwise be inaccessible solid-phase peptide synthesis using commercially available amino acids.
View Article and Find Full Text PDFJ Mol Model
January 2025
National Institute of Technology Durgapur, Durgapur, India.
Context: Protein secondary structure prediction is essential for understanding protein function and characteristics and can also facilitate drug discovery. Traditional methods for experimentally determining protein structures are both time-consuming and costly. Computational biology offers a viable alternative by predicting protein structures from their sequences.
View Article and Find Full Text PDFJ Fluoresc
January 2025
College of Life Science, Northwest University, Xian, 710069, Shaanxi, China.
Lead (Pb) ions give an imminent danger since they have been known to cause persistent damage to humans, plants, and animals, even at low concentrations, and cysteine (Cys) elevated levels are critical indicators for many diseases. Therefore, their detection is critical in pharmaceutical and environmental samples. This study tailored an innovative fluorescence switch off-on assay to detect Pb and Cys based on the amplification of G-quadruplex (G-4) to N-methylmesoporphyrin IX (NMM).
View Article and Find Full Text PDFPhysiol Plant
January 2025
National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, India.
Plants defend against chewing herbivores by up-regulating jasmonic acid (JA) signaling, which activates downstream signaling cascades and produces numerous secondary metabolites that act as defense molecules against the herbivores. Although secondary metabolism always remains a focus of research, primary metabolism is also reported to be realigned upon herbivory. However, JA signaling-mediated modulation of primary metabolites and their metabolic pathways in plants are mostly unexplored.
View Article and Find Full Text PDFMol Biotechnol
January 2025
Innoplexus Consulting Services Pvt Ltd, Floor 7Th, Midas Tower, Rajiv Gandhi Infotech Park, Hinjawadi, Pune, Maharashtra, 411057, India.
Antibodies have specific binding capabilities and therapeutic potential for treating various diseases, including viral infections. The amino acid composition of the hypervariable complementarity determining regions (CDR) loops and the framework regions (FR) are the determining factors for the affinity and therapeutic efficacy of the antibodies. In this study selected and curated, 77 viral antigen-human antibody complexes from Protein data bank from the Thera-SAbdab database were analyzed.
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