对于肌肉骨疾病的单细胞RNA测序的研究趋势和动态:一个科学测量和可视化研究
Siyang Cao1,2,3, Yihao Wei1,2,4,5,6, Yaohang Yue1,2,3
1National & Local Joint Engineering Research Centre of Orthopaedic Biomaterials, Peking University Shenzhen Hospital, Shenzhen, Guangdong, People's Republic of China.
International journal of medical sciences
|February 3, 2025
概括
这项研究分析了15年的单细胞RNA测序 (scRNA-seq) 在肌肉骨系统 (MSK) 疾病的研究. 中国领先于出版物,专注于关节疾病和骨疾病,为研究人员提供见解.
科学领域:
- 生物医学研究生物医学研究
- 基因组学就是基因组学.
- 肌肉骨疾病 肌肉骨疾病
背景情况:
- 全球有17亿人患有肌肉骨系统疾病 (MSK).
- 单细胞RNA测序 (scRNA-seq) 提供了对MSK疾病机制的新见解.
- 在对MSK疾病中scRNA-seq研究趋势的综合分析中存在差距.
研究的目的:
- 为了提供一个15年的scRNA-seq在MSK疾病的进展概述.
- 确定关键的研究方向,重点和未来的前景.
- 为了绘制当前的研究格局和出版轨迹.
主要方法:
- 从科学网络核心集合 (2009-2024) 中对出版物的科学度分析.
- 应用先进的分析和视觉方法.
- 数据汇编和趋势识别.
主要成果:
- 中国主导出版物 (63.49%),上海通大学,孙中山大学和哈佛医学院是主要机构.
- 云是最多产的作者,而"免疫学前沿"发表的论文最多.
- 关键的研究重点包括关节疾病,骨瘤,骨折和椎间盘退化.
结论:
- 这种科学度分析为MSK和scRNA-seq领域的研究人员提供了有价值的数据.
- 它促进了对关键信息的获取,促进了创新和理解.
- 该研究强调了主要的贡献者和研究主题,指导了未来的调查.
相关概念视频
Ribosome Profiling
3.5K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.5K
RNA-seq
9.8K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.8K


