通过将长读序列与单细胞和空间转录组学配对来理解异形表达
Natan Belchikov1,2,3, Justine Hsu1,2, Xiang Jennie Li1,2,4
1Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York 10065, USA.
Genome research
|November 20, 2024
概括
长读测序技术正在通过实现对转录变异的详细表征来彻底改变RNA异型分析. 这些先进的方法克服了短读测序的局限性,为基因表达和生物作用提供了新的见解.
科学领域:
- 分子生物学分子生物学
- 基因组学就是基因组学.
- 文字转录学 (Transcriptomics) 是一个学科.
背景情况:
- RNA异形多样性源于替代拼接和转录开始/多个A) 站点的使用,导致单个基因的多种转录.
- 不同的RNA异型可以显著影响蛋白质产品和生物功能.
- 之前的短读测序方法 (单细胞,空间) 能够进行细胞类型比较,但在测量差异性异型表达时受到限制.
研究的目的:
- 审查单细胞和空间长读序列的出现,以表征RNA异型表达.
- 讨论与这些先进的测序技术相关的挑战和机会.
- 突出这些方法的应用,以了解异形体在发育和病理学中的作用.
主要方法:
- 长读序列的整合与单细胞和空间技术.
- 分析单核长读测序作为一个专门的单细胞方法.
- 对长时间读取的转录基因数据的数据解释策略的审查.
主要成果:
- 长读数测序使RNA异形表达的全面表征成为可能,克服了短读数的限制.
- 这些技术为将转录变异与生物功能联系起来提供了机会.
- 应用证明了长读测序在研究异构体在发育和疾病中的作用方面的实用性.
结论:
- 单细胞和空间长读测序代表了转录组学的重大进步.
- 尽管存在实施方面的挑战,但这些技术为了解RNA异形生物学提供了巨大的潜力.
- 需要进一步的研究,以充分利用长读测序的功能来进行异型分析.
更多相关视频
09:34A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
Published on: October 25, 2018
6.6K
06:24Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
Published on: March 12, 2021
3.5K
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
