Research and analysis of differential gene expression in CD34 hematopoietic stem cells in myelodysplastic syndromes

• Published in: PloS one Vol. 20; no. 3; p. e0315408
• Main Authors: Wang, Min-xiao, Liao, Chang-sheng, Wei, Xue-qin, Xie, Yu-qin, Han, Peng-fei, Yu, Yan-hui
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 12.03.2025; Public Library of Science (PLoS)
• Subjects: Accuracy; Algorithms; Analysis; Anopheles; Antigens, CD34 - genetics; Antigens, CD34 - metabolism; Binomial distribution; Bioinformatics; Biology and Life Sciences; Bone marrow; Business metrics; Care and treatment; CD34 antigen; Computational Biology - methods; Computer and Information Sciences; Databases, Genetic; Datasets; Development and progression; Diagnosis; Disease; Disorders; Gene expression; Gene Expression Profiling; Genes; Genetic aspects; Health aspects; Health services; Hematopoietic stem cells; Hematopoietic Stem Cells - metabolism; Humans; Interferon regulatory factor 4; Machine learning; Medicine and Health Sciences; Molecular modelling; Myelodysplastic syndrome; Myelodysplastic syndromes; Myelodysplastic Syndromes - genetics; Myelodysplastic Syndromes - metabolism; Myelodysplastic Syndromes - pathology; Neural networks; Pathogenesis; Patients; Performance evaluation; Physical Sciences; Prediction models; Predictions; Regression analysis; Research and Analysis Methods; Software packages; Stem cells; Support Vector Machine; Support vector machines; Workflow; China; Japan; Taiwan

This study aims to investigate and analyze the differentially expressed genes (DEGs) in CD34 + hematopoietic stem cells (HSCs) from patients with myelodysplastic syndromes (MDS) through bioinformatics analysis, with the ultimate goal of uncovering the potential molecular mechanisms underlying pathog...