five

Profiling extracellular long RNA transcriptome in human plasma and extracellular vesicles for biomarker discovery

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.kh1893236
下载链接
链接失效反馈
官方服务:
资源简介:
The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery.

近年来,血液中细胞外RNA(extracellular RNAs, exRNAs)——包括包裹于细胞外囊泡(extracellular vesicles, EVs)内的RNA——的发现,结合低起始量RNA测序(low-input RNA-sequencing)技术的进步,使科学家得以深入探究其在人类疾病中的作用。截至目前,绝大多数相关研究均聚焦于小RNA领域,而优化长RNA检测的方法仍较为匮乏。本研究采用血浆RNA,在两个不同实验站点对六种长RNA测序方法的性能展开评估,并报告了各方法在比对至基因组/转录组的读段占比(%)、检测到的基因数量、长RNA转录本多样性以及实验可重复性等方面的差异。借助表现最优的测序方法,我们进一步对比了富集细胞外囊泡与未富集细胞外囊泡的血浆RNA组分中的长RNA表达谱。上述研究结果可为商用试剂盒在评估人类血浆及不同细胞外RNA载体中的长RNA表达全貌时的性能与可重复性提供参考,相关发现可为生物标志物发现相关研究提供重要借鉴。
创建时间:
2020-06-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作