Characterization of Cancer Hallmark Enhancer RNA Uncovers Novel Strategies for Precision Oncology [0.03%]
癌症标志增强子RNA的特征分析揭示了精准肿瘤学的新策略
Yongfeng Fu,Yunzhe Wang,Zong-Tao Chai et al.
Yongfeng Fu et al.
Enhancer RNAs (eRNAs) play crucial roles in regulating cancer progression and serve as clinical biomarkers or therapeutic targets. However, systematic identification of oncogenic eRNAs and strategies to target them for precision oncology re...
Calling for Diversity: Improving Transfusion Safety Through High-Throughput Blood Group Microarray Genotyping [0.03%]
提倡多样性：通过高通量血型基因分型微阵列提高输血安全性
Michael Wittig,Tim Alexander Steiert,Hesham ElAbd et al.
Michael Wittig et al.
Blood transfusions, conducted between donors compatible in their red blood cell (RBC) antigens, play a life-saving role in transfusion medicine. Genetic differences at blood group loci between ethnicities result in diversity and altered fre...
mTM-align2: A Server for Real-time Protein Structure Database Search and Alignment [0.03%]
mTM-align2服务器：实时蛋白质结构数据库搜索及比对
Qiuyi Lyu,Hong Wei,Shuaishuai Chen et al.
Qiuyi Lyu et al.
Identifying structurally similar proteins from large-scale databases is a fundamental challenge in structural bioinformatics. The recent release of millions of predicted structures by AlphaFold2 presents unprecedented scale and efficiency c...
K6 Atypical Ubiquitin Chain Regulates Intracellular Serine Homeostasis Through Tor1-Npr1-Par32-Gnp1 Signaling Axis [0.03%]
K6非典型泛素链通过Tor1-Npr1-Par32-Gnp1信号轴调控胞内丝氨酸稳态
Yanchang Li,Yihao Wang,Yonghong Wang et al.
Yanchang Li et al.
Maintaining proper intracellular serine levels is essential for various biological processes, including one-carbon cycle, amino acid synthesis and nucleotide production. However, the precise mechanisms governing serine uptake, biosynthesis ...
OBC: Optimized Batch Correction with Dual-level Quality Control for Scalable Proteomics and Metabolomics [0.03%]
基于双层质量控制的优化批量校正方法实现可扩展蛋白质组学和代谢组学
Helong Zheng,Zengqi Tan,Peng Xue et al.
Helong Zheng et al.
The technological advancements in mass spectrometry-based proteomics and metabolomics have enabled large-scale studies, in which hundreds to thousands of samples are analyzed in batches across multiple instruments over extended periods. Con...
PROBind: A Web Server for Prediction, Analysis, and Visualization of Protein-Protein and Protein-Nucleic Acid Binding Residues [0.03%]
PROBind：一个用于预测、分析和可视化蛋白质-蛋白质及蛋白质-核酸结合残基的网络服务器
Chaojin Wu,Fuhao Zhang,Pengzhen Jia et al.
Chaojin Wu et al.
Protein-protein and protein-nucleic acid interactions are fundamental to numerous cellular functions, yet only a small fraction have been experimentally characterized. Although modern computational methods have been developed for predicting...
Urinary Proteomics: Biological Foundations, Analytical Frameworks, and Clinical Translation Across Human Diseases [0.03%]
泌尿系统蛋白质组学：生物基础、分析框架及临床转化研究在人类疾病中的应用
Fanjie Meng,Yuxuan Xiao,Xincheng Li et al.
Fanjie Meng et al.
Urinary proteomics has swiftly emerged as a formidable tool for the identification of non-invasive biomarkers and the surveillance of diseases. The progression in high-resolution mass spectrometry and data-independent acquisition techniques...
Metabolomics Identified Caloric Restriction-associated Glycerophospholipid Alterations in ApoE-/- Mice [0.03%]
代谢组学鉴定的ApoE基因敲除小鼠 caloric restriction相关甘油磷脂变化
Zi-Yu Wei,He-Ping Wang,Song Tang et al.
Zi-Yu Wei et al.
Caloric restriction (CR) improves metabolic health and reduces the risk of aging-related vascular diseases. However, the systematic metabolic reprogramming associated with CR remains unclear. To address this, we performed multi-tissue metab...
Variant Calling in the Dark Genome: Benchmarking SNV Calls in the Flanks of Structural Variants [0.03%]
暗 genome 中的变异呼叫：结构变异附近的 SNV 呼叫基准测试
Ningxin Dang,Peng Jia,Jiadong Lin et al.
Ningxin Dang et al.
Single nucleotide variant calling protocols routinely discard calls in the regions immediately flanking structural variants (often 50 bp either side) because it is technically challenging to call them accurately. Although there are undoubte...
StarFunc: Fusing Template-based and Deep Learning Approaches for Accurate Protein Function Prediction [0.03%]
StarFunc：融合模板和深度学习方法进行精确的蛋白质功能预测
Chengxin Zhang,Quancheng Liu,Lydia Freddolino
Chengxin Zhang
Deep learning has significantly advanced the development of high-performance methods for protein function prediction. Nonetheless, even for state-of-the-art deep learning approaches, template information remains an indispensable component i...