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Separation of polar and neutral lipids from mammalian cell lines by high-performance thin-layer chromatography.
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Université Côte d'Azur, CNRS and Inserm, Institut de Pharmacologie Moléculaire et Cellulaire, UMR 7275, Sophia Antipolis, Valbonne, France.
The introduction of high-performance TLC (HPTLC) instrumentation that allows precise control of critical parameters has transformed the technique into an efficient and rapid tool for analyzing various metabolites, namely lipids. Although mass spectrometry (MS) has largely replaced lipid analysis techniques over recent decades due to its comprehensive lipidome profiling capabilities, it typically lacks the rapidity and simplicity of TLC. HPTLC remains advantageous due to its ease of use, simpler data interpretation, and compatibility with complementary techniques.
View Article and Find Full Text PDFEvaluating Outcomes of Step-Cut Osteotomy for Pediatric Cubitus Deformities.
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Department of Orthopaedic Surgery, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
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View Article and Find Full Text PDF[1+5] Cyclization of Indoline-Derived Azadienes with 1,3,5-Triazinanes: An Efficient Protocol for the Synthesis of Indoline-Spiro-Hexahydropyrimidines.
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School of Pharmaceutical Sciences, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, 450001, Henan, China.
An unprecedented formal [1+5] cyclization of indoline-derived azadienes with 1,3,5-triazinanes has been realized, providing a facile access to biologically important indoline-spiro-hexahydropyrimidines with good to excellent yields (up to 99 % yield). Different from previous reports, this is the first study that indoline-derived azadienes could participate in cyclizations as one-atom synthons. This methodology is also distinguished by not involving any additive or catalyst, readily available starting materials, wide range of substrate applicability, operational simplicity and simultaneously reassembling two C-N and two C-C bonds in one-step reaction.
View Article and Find Full Text PDFComprehensive Evaluation of Advanced Imputation Methods for Proteomic Data Acquired via the Label-Free Approach.
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Biological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, Zwirki i Wigury 101, 02-089 Warsaw, Poland.
Mass-spectrometry-based proteomics frequently utilizes label-free quantification strategies due to their cost-effectiveness, methodological simplicity, and capability to identify large numbers of proteins within a single analytical run. Despite these advantages, the prevalence of missing values (MV), which can impact up to 50% of the data matrix, poses a significant challenge by reducing the accuracy, reproducibility, and interpretability of the results. Consequently, effective handling of missing values is crucial for reliable quantitative analysis in proteomic studies.
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