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相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

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Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
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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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相关实验视频

Updated: Jan 8, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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使用可解释的基因程序,对单细胞和空间奥米克数据进行强大的集成和注释.

Yuelei Zhang1, Wenxuan Ming1, Bianjiong Yu1

  • 1Nanjing Stomatology Hospital, Medical School and the State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, Jiangsu 210023, China.

Cell genomics
|December 20, 2025
PubMed
概括
此摘要是机器生成的。

SSpMosaic通过识别称为metaprograms的通用基因程序来解码细胞复杂性. 这个框架可以在各种生物数据集和尺度上准确地进行细胞类型注释和空间映射.

关键词:
单元格类型的注释细胞类型的解解.数据整合数据集成.基因程序 基因程序可以解释的解释性.这些是元程序.俄米克斯 (omicsics) 是一个电子产品.一个单细胞的单细胞.空间域是一个空间域.空间转录学 空间转录学

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科学领域:

  • 计算生物学是一种计算生物学.
  • 基因组学就是基因组学.
  • 空间转录组学 空间转录组学

背景情况:

  • 细胞身份是由复杂的,情境意识的基因程序定义的.
  • 整合多样化的生物数据 (例如,单核,空间转录) 仍然具有挑战性.
  • 现有的方法在交叉数据集一致性和新细胞状态发现方面扎.

研究的目的:

  • 引入SSpMosaic,这是一个用于强大的生物状态表示的计算框架.
  • 为了实现精确的细胞类型注释和发现新细胞状态.
  • 为了实现分辨率无意识的空间转录学,解卷和无引用的空间表征.

主要方法:

  • 开发SSpMosaic,一个使用元程序进行跨数据集对齐的框架.
  • 基于元程序的转移学习用于细胞类型注释的应用.
  • 多模式数据的整合 (单核,色素可访问性,空间转录学).
  • 在各种尺度上对空间转录学进行分辨率不可知解卷.

主要成果:

  • SSpMosaic 能够在批量,模式和物种之间实现一致和准确的数据集成.
  • 该框架准确地注释细胞类型,并发现新的细胞状态.
  • 实现了细胞类型分布的精确映射,从斑点水平到亚细胞尺度.
  • 通过整合各种数据类型,成功解决了多阶段空间域动态.
  • 启用无参考空间特征和保存空间生态型的识别.

结论:

  • SSpMosaic提供了一个普遍的框架,用于使用元程序来表示生物状态.
  • 该框架推进了细胞类型注释,空间解卷和细胞的发现.
  • SSpMosaic促进了对生物样本的空间域动态和细胞生态的更深入的理解.