2025-04-26-9_articles_updated
Published:
期刊: Nature
标题: 大量可重复性项目未能验证数十项生物医学研究
英文标题: Huge reproducibility project fails to validate dozens of biomedical studies
链接: https://www.nature.com/articles/d41586-025-01266-x
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: HCDT 2.0:一个针对实验验证的基因、RNA和途径的高度可信药物-靶点数据库
英文标题: HCDT 2.0: A Highly Confident Drug-Target Database for Experimentally Validated Genes, RNAs, and Pathways
链接: https://www.nature.com/articles/s41597-025-04981-2
期刊: AAAS: Science Advances: Table of Contents
标题: 2.4百万年天文大循环中的倾斜破坏和南极冰盖动力学
英文标题: Obliquity disruption and Antarctic ice sheet dynamics over a 2.4-Myr astronomical grand cycle
链接: https://www.science.org/doi/abs/10.1126/sciadv.adl1996?af=R
期刊: AAAS: Science Advances: Table of Contents
标题: P2X7R/NLRP3炎症小体轴通过炎症和代谢巨噬细胞-干细胞交叉对话抑制附着再生
英文标题: The P2X7R/NLRP3 inflammasome axis suppresses enthesis regeneration through inflammatory and metabolic macrophage-stem cell cross-talk
链接: https://www.science.org/doi/abs/10.1126/sciadv.adr4894?af=R
期刊: AAAS: Science Advances: Table of Contents
标题: 单细胞形态编码衰老人皮肤成纤维细胞的衰老功能亚型
英文标题: Single-cell morphology encodes functional subtypes of senescence in aging human dermal fibroblasts
链接: https://www.science.org/doi/abs/10.1126/sciadv.ads1875?af=R
期刊: AAAS: Science Advances: Table of Contents
标题: 通过显微镜和磷酸化蛋白质组学同步时空分析(STAMP)研究静息状态
英文标题: Synchronized temporal-spatial analysis via microscopy and phosphoproteomics (STAMP) of quiescence
链接: https://www.science.org/doi/abs/10.1126/sciadv.adt9712?af=R
期刊: medrxiv Subject Collection: Health Informatics
标题: 心脏MRI中动态放射组学特征的稳定性
英文标题: Stability of Dynamic Radiomics Features in Cardiac MRI
链接: http://medrxiv.org/cgi/content/short/2025.04.18.25326051v1?rss=1
期刊: medrxiv Subject Collection: Health Informatics
标题: 利用全文特征增强生物医学文献中出版物类型和研究设计自动索引
英文标题: Enhancing automated indexing of publication types and study designs in biomedical literature using full-text features
链接: http://medrxiv.org/cgi/content/short/2025.04.23.25326300v1?rss=1
期刊: bioRxiv Subject Collection: Bioinformatics
标题: MiT4SL:用于癌症细胞系适应性合成致死性预测的多组学三元表示学习
英文标题: MiT4SL: multi-omics triplet representation learning for cancer cell line-adapted prediction of synthetic lethality
链接: https://www.biorxiv.org/content/10.1101/2025.04.20.649694v1?rss=1