长非编码RNA和圆形RNA和编码RNA,通过RNA序列对骨髓瘤等离子体外基因组进行分析
Yun Liu1, Haijun Tang1, Chong Li1
1Department of Spine and Osteopathic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Scientific data
|June 22, 2023
概括
这项研究分析了骨髓瘤 (OS) 患者的血外基因组RNA,确定了信使RNA (mRNA),长非编码RNA (lncRNA) 和循环RNA (circRNA) 的关键差异. 这些发现为OS转移机制提供了洞察力.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- 骨髓瘤 (OS) 是一种高度恶性的原发性骨瘤.
- 在OS中驱动血液转移的机制仍然不太清楚.
- 来自骨髓瘤的等离子体外基因组与瘤转移有关.
研究的目的:
- 建立来自OS患者和健康捐赠者的血外体的RNA测序数据集.
- 识别差异表达的长非编码RNAs (lncRNAs),圆形RNAs (circRNAs) 和信使RNAs (mRNAs).
- 为了解外体RNA在OS转移中的作用提供资源.
主要方法:
- 进行了RNA测序 (RNA-seq) 在10名OS患者和5名健康捐赠者的等离子体外体上.
- 分析包括lncRNAs,circRNAs和mRNAs,产生了一个大量的数据集 (329.52 Gb).
- 进行了差异基因表达分析,以确定显著的分子变化.
主要成果:
- 鉴定了1754个lncRNAs,7096个已知的circRNAs和1935个新的circRNAs.
- 发现了331种不同表达的mRNA,132种不同表达的lncRNA和489种不同表达的circRNA.
- 为OS与正常条件建立了全面的基因表达特征.
结论:
- 生成的数据集是骨髓瘤研究的宝贵资源.
- 它有助于在OS中探索失调的外体lncRNA,circRNA和mRNA.
- 这些数据可以帮助发现潜在的生物标志物和OS转移的治疗点.
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