Objective: To investigate the effects of Genistein (Gen) on the whole expression profiles of testes in mice by using the gene chip technology,and analyze the mechanism how Gen exerts testis on gene level.
Methods: The testicular tissues of suckling mice were cultured in vitro,and separated into control group and Gen group with the dose of 5 μmol/L. After 72 h of culture,we extracted the total RNA and purified it,then detected the gene expression by using Agilent gene array.
Results: Compared with the control,there were 84 genes expressed differently in Gen group,including 47 upregulated genes and 37 downregulated genes. We classified these genes as 14 categories in Gen group by GO ( <0.05),including cell proliferation,cell death,the immune system and reproductive development.
Conclusion: The whole gene chip test found that Gen can mainly affect the functions of testes by regulating the expression of gene related to cell development,proliferation and cell cycle function, which can influence the spermatogenesis and change the testis cell proliferation and apoptosis.
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Gastric Cancer
January 2025
Department of Medical Oncology, Hospital Clinico Universitario, INCLIVA, Biomedical Research Institute, University of Valencia, Avenida Menendez Pelayo nro 4 accesorio, Valencia, Spain.
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The Key Laboratory of Spine and Spinal Cord Disease of Jiangxi Province, Nanchang, 330006, China.
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Faculty of Basic Sciences, King Salman International University, South Sinai City, 46612, Egypt.
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Department of Urology, Peking University People's Hospital, Beijing, 100044, China.
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Sci Rep
January 2025
Department of Anus and Intestine Surgery, The Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang City, 550004, Guizhou Province, China.
This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!