Previously reported LC-MS methods for quantifying 8-α-hydroxy-mutilin (a marker residue of tiamulin) in tissues all used a pseudo MRM transition (from protonated molecular ion to protonated molecular ion, m/z 337→337) due to difficulties in finding a product ion, leading to suboptimal selectivity and sensitivity for detection. By using electrospray negative ionization in a basic medium, we, for the first time, found a highly selective and sensitive true MRM transition for 8-α-hydroxy-mutilin, m/z 335→179. With this newly found MRM transition and the use of pleuromutilin as the internal standard, a very sensitive, selective, and robust LC-MS/MS method has been developed and validated for quantifying 8-α-hydroxy-mutilin in rabbit tissues (muscle, liver, kidney, and fat). In comparison with the previously published methods, the selectivity and sensitivity were significantly improved. For the concentration range validated (0.2-10ppm or 0.2-10μg/g), the within-run and between-run accuracies (% bias) ranged from -5.0 to 3.1 and -4.9 to 3.0, respectively. The% CV ranged from 2.2 to 6.6 and 4.7 to 8.3 for within-run and between-run precisions, respectively. The validated method was successfully used to support two GLP tissue residue depletion studies in rabbits.
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http://dx.doi.org/10.1016/j.jchromb.2017.11.008 | DOI Listing |
Sci Rep
December 2024
School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the standard treatment regimen for patients with head and neck squamous cell carcinoma (HNSCC). However, accurately predicting the treatment effectiveness of ICIs for patients at the same TNM stage remains a challenge. In this study, we first combined multi-omics data (mRNA, lncRNA, miRNA, DNA methylation, and somatic mutations) and 10 clustering algorithms, successfully identifying two distinct cancer subtypes (CSs) (CS1 and CS2).
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December 2024
Department of physics, Faculty of Science, Malayer University, Malayer, Iran.
This study investigates the optical properties of carbon nanotubes (CNTs) and silicene nanotubes (SiNTs) under the influence of external magnetic fields, focusing on their linear and nonlinear optical responses. A tight-binding model is employed to analyze the effects of magnetic fields on the electronic band structure, dipole matrix elements, and various optical susceptibilities of zigzag CNTs and SiNTs. The results reveal significant magnetic field-induced modifications in both linear and nonlinear optical spectra.
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December 2024
Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
This study aimed to develop and validate a predictive model for failure to collect oocytes in the Patient-Oriented Strategies Encompassing Individualized Oocyte Number (POSEIDON) Groups 3 and 4 during their first in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) cycle. A retrospective analysis was conducted on patients in POSEIDON Groups 3 and 4 who underwent their first IVF/ICSI cycle at our center from January 2016 to December 2023. A total of 2,373 patients were randomly assigned to the training or validation cohort at a ratio of 6:4.
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December 2024
Division of Cancer Therapeutics, National Cancer Center Research Institute, 5-1-1, Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Mutation of genes related to the SWI/SNF chromatin remodeling complex is detected in 20% of all cancers. The SWI/SNF chromatin remodeling complex comprises about 15 subunits and is classified into three subcomplexes: cBAF, PBAF, and ncBAF. Previously, we showed that ovarian clear cell carcinoma cells deficient in ARID1A, a subunit of the cBAF complex, are synthetic lethal with several genes required for glutathione (GSH) synthesis and are therefore sensitive to the GSH inhibitor eprenetapopt (APR-246).
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December 2024
BioSpyder Technologies, Inc., Carlsbad, CA, USA.
We report the development and performance of a novel genomics platform, TempO-LINC, for conducting high-throughput transcriptomic analysis on single cells and nuclei. TempO-LINC works by adding cell-identifying molecular barcodes onto highly selective and high-sensitivity gene expression probes within fixed cells, without having to first generate cDNA. Using an instrument-free combinatorial indexing approach, all probes within the same fixed cell receive an identical barcode, enabling the reconstruction of single-cell gene expression profiles across as few as several hundred cells and up to 100,000 + cells per sample.
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