Study research protocol for Phenome India-CSIR Health Cohort Knowledgebase: A prospective multi-modal follow-up study on a nationwide employee cohort [0.03%]
Phenome India-CSIR健康队列知识库研究方案：全国雇员队列多模式前瞻性跟踪研究
Shantanu Sengupta;Phenome India Consortium
Shantanu Sengupta;Phenome India Consortium
Predicting individual health trajectories based on risk scores can help formulate effective preventive strategies for diseases and their complications. Currently, most risk prediction algorithms rely on epidemiological data from the Caucasi...
Engineered BSA nanoparticles: Synthesis, drug loading, and advanced characterization [0.03%]
工程化的BSA纳米颗粒：合成、药物加载及高级表征
Hemlata,A Hariharan,Nandan Murali et al.
Hemlata et al.
Bovine serum albumin (BSA) nanoparticles have attracted a lot of interest as biocompatible and biodegradable carriers for a range of pharmacological and biological uses. BSA nanoparticles have several advantages over other types of nanopart...
TockyLocus: quantitative analysis of flow cytometric fluorescent timer data in Nr4a3-Tocky and Foxp3-Tocky mice [0.03%]
TockyLocus：Nr4a3-Tocky和Foxp3-Tocky小鼠流式细胞仪荧光定时器数据的定量分析
Masahiro Ono
Masahiro Ono
Fluorescent Timer proteins undergo a time-dependent shift from blue to red fluorescence after translation, providing a temporal record of transcriptional activity in Timer reporter systems. While Timer proteins are well suited for studying ...
A robust protocol for proteomic profiling of secreted proteins in conditioned culture medium [0.03%]
一种用于分析培养基中分泌蛋白质组的稳健方案
Takayoshi Otsuka,Atsushi Hatano,Masaki Matsumoto et al.
Takayoshi Otsuka et al.
Reliable secretome analysis is crucial for understanding cellular communication and developing therapeutic strategies. However, conventional protein quantification methods, such as the bicinchoninic acid (BCA) assay, can overestimate protei...
Development of high-throughput screening viral titration assay: Proof of concept through two surrogate viruses of human pathogens [0.03%]
高通量筛选病毒滴度测定方法的研发：通过两种人类病原体替代病毒的概念验证
Valentin Job,Laura Bonil,Damien Coupeau et al.
Valentin Job et al.
The precise determination of viral titers in virological studies is a critical step to assess the infectious viral concentration of a sample. Although conventional titration methods, such as endpoint dilution or plaque forming units are the...
Integrating multiple microRNA functional similarity networks for improved disease-microRNA association prediction [0.03%]
整合多种微小核糖核酸功能相似性网络以改善疾病-微小核糖核酸关联预测
Duc-Hau Le
Duc-Hau Le
MicroRNAs (miRNAs) play a critical role in disease mechanisms, making the identification of disease-associated miRNAs essential for precision medicine. We propose a novel computational method, multiplex-heterogeneous network for MiRNA-disea...
Constructing a norm for children's scientific drawing: Distribution features based on semantic similarity of large language models [0.03%]
基于大语言模型语义相似性的儿童科学画评价标准构建及分布特征分析
Yi Zhang,Fan Wei,Jingyi Li et al.
Yi Zhang et al.
The use of children's drawings to examining their conceptual understanding has been proven to be an effective method, but there are two major problems with previous research: (i) The content of the drawings heavily relies on the task, and t...
Radiolabeling isolated mitochondria with Tc-99m: A first-in-field protocol and early feasibility findings [0.03%]
一种全新的技术：用Tc-99m给分离的线粒体做放射性标记：首创新方法及初步可行性研究结果
Melanie Walker,Francisco Javier Miralles,Keiko Prijoles et al.
Melanie Walker et al.
Mitochondrial transplantation is a promising but still experimental strategy for treating ischemic and metabolic disorders. A key barrier to its advancement is the lack of scalable, non-invasive methods for tracking transplanted extracellul...
Fast and accurate quantification of double-strand breaks in microsatellites by digital PCR [0.03%]
通过数字PCR快速准确地对微卫星中的双链断裂进行定量
Cécile Palao,Adèle Kovacs,Maria Teresa Teixeira et al.
Cécile Palao et al.
DNA double-strand breaks (DSBs) represent critical events in genome integrity, arising from both endogenous cellular processes and exogenous factors. These breaks are implicated in various genomic aberrations and chromosomal rearrangements,...
Harnessing multi-output machine learning approach and dynamical observables from network structure to optimize COVID-19 intervention strategies [0.03%]
利用多输出机器学习方法和网络结构动力学观测指标优化新冠肺炎干预策略
Caroline L Alves,Katharina Kuhnert,Francisco Aparecido Rodrigues et al.
Caroline L Alves et al.
The coronavirus disease 2019 (COVID-19) pandemic has necessitated the development of accurate models to predict disease dynamics and guide public health interventions. This study leverages the COVASIM agent-based model to simulate 1331 scen...