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相关概念视频

RNA-seq03:21

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...
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Ribosome Profiling02:24

Ribosome Profiling

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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...
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An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
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从单细胞测序到多细胞测序:技术和应用.

Xiangyu Wu1, Xin Yang1, Yunhan Dai2

  • 1Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.

Biomarker research
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概括

单细胞多组学集成了各种数据类型,以揭示复杂的细胞信息. 这种方法增强了对细胞发育,疾病和治疗策略的理解.

关键词:
计算生物学是一种计算生物学.代谢组中的代谢.微生物组是一个微生物组.蛋白质组学是指蛋白质组学.单细胞多组体的单细胞多组体.空间转录组学 空间转录组学在 scBCR-seqq 中.这就是scRNA-seqq.在 scTCR-seqq 中使用.

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科学领域:

  • 基因组学就是基因组学.
  • 分子生物学分子生物学
  • 生物医学科学 生物医学科学

背景情况:

  • 细胞拥有复杂的多维空间时间信息.
  • 单细胞RNA测序 (scRNA-seq) 是分析细胞状态和异质性的关键技术.
  • 测序的进步使我们能够更深入地了解细胞的复杂性.

研究的目的:

  • 审查传统的单细胞测序技术.
  • 概述了单细胞多细胞化学的最新进展.
  • 概述单细胞多omics应用程序的现状和挑战.

主要方法:

  • 将scRNA-seq与其他omics数据 (例如免疫谱,空间,时间,表位) 的整合.
  • 在单个细胞内同时测量各种分子数据.
  • 在各种时空环境中分析多学科数据.

主要成果:

  • 单细胞多组学精确地捕捉了多维的细胞方面.
  • 能够为正常和患病的组织构建详细的细胞图谱.
  • 为研究细胞分化,发育和疾病机制提供了基础.

结论:

  • 单细胞多组学显著扩大了对细胞生物学的理解.
  • 应用范围包括基础研究,疾病异质性,耐药性和治疗策略.
  • 确定当前的局限性和挑战,并提出未来的战略.