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Background: The EWSR1/FLI1 gene fusion is the most common rearrangement leading to cell transformation in Ewing sarcoma (ES). Previous studies have indicated that expression at the cellular level is heterogeneous, and that levels of expression may oscillate, conferring different cellular characteristics. In ES the role of EWSR1/FLI1 in regulating subpopulation dynamics is currently unknown.
Methods: We used siRNA to transiently suppress EWSR1/FLI1 expression and followed population dynamics using both single cell expression profiling, CyTOF and functional assays to define characteristics of exponentially growing ES cells and of ES cells in which EWSR1/FLI1 had been downregulated. Novel transcriptional states with distinct features were assigned using random forest feature selection in combination with machine learning. Cells isolated from ES xenografts in immune-deficient mice were interrogated to determine whether characteristics of specific subpopulations of cells in vitro could be identified. Stem-like characteristics were assessed by primary and secondary spheroid formation in vitro, and invasion/motility was determined for each identified subpopulation. Autophagy was determined by expression profiling, cell sorting and immunohistochemical staining.
Results: We defined a workflow to study EWSR1/FLI1 driven transcriptional states and phenotypes. We tracked EWSR1/FLI1 dependent proliferative activity over time to discover sources of intra-tumoral diversity. Single-cell RNA profiling was used to compare expression profiles in exponentially growing populations (si-Control) or in two dormant populations (D1, D2) in which EWSR1/FLI1 had been suppressed. Three distinct transcriptional states were uncovered contributing to ES intra-heterogeneity. Our predictive model identified ~1% cells in a dormant-like state and ~ 2-4% cells with stem-like and neural stem-like features in an exponentially proliferating ES cell line and in ES xenografts. Following EWSR1/FLI1 knockdown, cells re-entering the proliferative cycle exhibited greater stem-like properties, whereas for those cells remaining quiescent, FAM134B-dependent dormancy may provide a survival mechanism.
Conclusions: We show that time-dependent changes induced by suppression of oncogenic EWSR1/FLI1 expression induces dormancy, with different subpopulation dynamics. Cells re-entering the proliferative cycle show enhanced stem-like characteristics, whereas those remaining dormant for prolonged periods appear to survive through autophagy. Cells with these characteristics identified in exponentially growing cell populations and in tumor xenografts may confer drug resistance and could potentially contribute to metastasis.
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http://dx.doi.org/10.1007/s13402-021-00640-x | DOI Listing |
Front Med (Lausanne)
August 2025
Clinical Medical College & Affiliated Hospital & College of Basic Medicine, Chengdu University, Chengdu, China.
Objective: Despite growing interest in the application of machine learning (ML) in proteomics, a comprehensive and systematic mapping of this research domain has been lacking. This study addresses this gap by conducting the first large-scale bibliometric analysis focused exclusively on ML-driven proteomics, aiming to elucidate its knowledge structure, development trajectory, and emerging research trends.
Methods: A total of 5,156 publications from the Web of Science Core Collection (1997-2024) were retrieved and analyzed.
Front Comput Neurosci
August 2025
College of Computing, Birmingham City University, Birmingham, United Kingdom.
As global life expectancy rises, a growing proportion of the population is affected by dementia, particularly Alzheimer's disease (AD) and Frontotemporal dementia (FTD). Electroencephalography (EEG) based diagnosis presents a non-invasive, cost effective alternative for early detection, yet existing methods are challenged by data scarcity, inter-subject variability, and privacy concerns. This study proposes lightweight and privacy-preserving EEG classification framework combining deep learning and Federated Learning (FL).
View Article and Find Full Text PDFCureus
August 2025
Department of Teaching and Research, The Second People's Hospital of Wuhu, Wuhu Hospital Affiliated to East China Normal University, Wuhu, CHN.
Narrative medicine is defined as a medical approach that utilizes the power of stories, both patients' illness narratives and healthcare providers' reflective accounts, to promote healing, foster empathy, and enhance the therapeutic relationship through close attention to the language, metaphor, and meaning embedded in illness experiences. Despite its growing importance in contemporary healthcare, comprehensive bibliometric analyses of narrative medicine research trends remain limited. This study aims to systematically map global research patterns, identify key contributors, and analyze thematic evolution in narrative medicine literature over the past two decades.
View Article and Find Full Text PDFUnlabelled: Upon exposure to echinocandins, growing yeast cells begin to accumulate cell wall damage and eventually die, resulting in therapeutic effects. While resistance to echinocandins is well studied, tolerance and persistence mechanisms that may also contribute to clinical failures and relapses remain understudied. In time-kill assays with micafungin , the opportunistic pathogen exhibited biphasic kinetics of cell death.
View Article and Find Full Text PDFPLoS Genet
September 2025
Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey, United States of America.
Studies have shown that DNA damage repair systems, including homologous recombination (HR) and the SOS response, are important for fluoroquinolone (FQ) persistence of Escherichia coli, which has been the workhorse organism of persister research. We sought to explore whether those systems are also important for FQ persistence of Pseudomonas aeruginosa, a common cause of lung infections in cystic fibrosis patients, which can be treated with FQs such as ciprofloxacin (CIP). Notably, P.
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