Studying the mechanisms of drug antitumor activity at the single-cell level can provide information about the responses of cell subpopulations to drug therapy, which is essential for the accurate treatment of cancer. Due to the small size of single cells and the low contents of metabolites, metabolomics-based approaches to studying the mechanisms of drug action at the single-cell level are lacking. Herein, we develop a label-free platform for studying the mechanisms of drug action based on single-cell metabolomics (sMDA-scM) by integrating intact living-cell electro-launching ionization mass spectrometry (ILCEI-MS) with metabolomics analysis. Using this platform, we reveal that non-small-cell lung cancer (NSCLC) cells treated by gefitinib can be clustered into two cell subpopulations with different metabolic responses. The glutathione metabolic pathway of the subpopulation containing 14.4% of the cells is not significantly affected by gefitinib, exhibiting certain resistance characteristics. The presence of these cells masked the judgment of whether cysteine and methionine metabolic pathway was remarkably influenced in the analysis of overall average results, revealing the heterogeneity of the response of single NSCLC cells to gefitinib treatment. The findings provide a basis for evaluating the early therapeutic effects of clinical medicines and insights for overcoming drug resistance in NSCLC subpopulations.
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http://dx.doi.org/10.1021/acs.analchem.2c05351 | DOI Listing |
Pathol Res Pract
December 2024
Department of Zoology (PG), Vellalar College for Women, Erode, India. Electronic address:
Breast cancer remains the leading cause of mortality among women with cancer. This article delves into the intricate relationship between breast cancer and cancer stem cells (CSCs), emphasizing advanced methods for their identification and isolation. The key isolation techniques, such as the mammosphere formation assay, surface marker identification, Side Population assay, and Aldehyde Dehydrogenase assay, are critically examined.
View Article and Find Full Text PDFCurr Opin Struct Biol
January 2025
School of Life Sciences, Westlake University, Institute of Biology, Westlake Institute for Advanced Study, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China. Electronic address:
Nucleotide-binding and leucine-rich repeat (NLR) proteins are essential intracellular immune receptors in both animal and plant kingdoms. Sensing of pathogen-derived signals induces oligomerization of NLR proteins, culminating in the formation of higher-order protein complexes known as resistosomes in plants. The NLR resistosomes play a pivotal role in mediating the plant immune response against invading pathogens.
View Article and Find Full Text PDFNeurobiol Aging
January 2025
Department of Psychology, The Pennsylvania State University, University Park, PA 16802, United States. Electronic address:
The growing population of older adults emphasizes the need to develop interventions that prevent or delay some of the cognitive decline that accompanies aging. In particular, as memory impairment is the foremost cognitive deficit affecting older adults, it is vital to develop interventions that improve memory function. This study addressed the problem of false memories in aging by training older adults to use details of past events during memory retrieval to distinguish targets from related lures.
View Article and Find Full Text PDFPain
December 2024
Centre for Multimodal Sensorimotor and Pain Research, Faculty of Dentistry, University of Toronto, Toronto, ON, Canada.
J Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
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