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相关概念视频

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

16.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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RNA-seq03:21

RNA-seq

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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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相关实验视频

Updated: May 9, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
09:45

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

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SlideCNA:从Slide-seq-like空间转录学数据中检测空间副本编号的变化.

Diane Zhang1,2, Åsa Segerstolpe1,3, Michal Slyper1,4

  • 1Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Genome biology
|May 2, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了SlideCNA,这是一个计算工具,它分析空间转录组学数据,以检测实体瘤中的副本数变化 (CNA). 通过SlideCNA,可以识别瘤内的空间亚克隆,从而提高我们对瘤异质性的理解.

关键词:
癌症 癌症 癌症 癌症克隆性 克隆性是指克隆性副本编号的更改 副本编号的更改一个单细胞RNA-seqq.幻灯片-seqqq 在线阅读空间转录组学 空间转录组学瘤微环境是一个微环境.

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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
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Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

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相关实验视频

Last Updated: May 9, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
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Detection of Copy Number Alterations Using Single Cell Sequencing

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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 癌症研究 癌症研究

背景情况:

  • 固体瘤在遗传,分子和细胞构成上表现出显著的空间异质性.
  • 之前的空间分析研究经常独立分析遗传和RNA变异.
  • 需要整合不同的数据类型,以全面了解瘤生物学.

研究的目的:

  • 开发一个计算工具,SlideCNA,用于从稀疏的空间转录学数据中提取副本编号改变 (CNA) 信号.
  • 在使用RNA表达数据的CNA检测中实现接近单细胞分辨率.
  • 为了证明SlideCNA在瘤内识别空间亚克隆的实用性.

主要方法:

  • SlideCNA采用表达式意识的空间分类来解决空间转录学中的数据稀疏性.
  • 这种方法保留了空间信息,同时增强了CNA模式的恢复.
  • 该工具使用模拟数据和真实乳腺癌的幻灯片序列数据进行了验证.

主要成果:

  • SlideCNA成功地从稀疏的空间转录组学数据中提取CNA信号.
  • 该计算工具实现了接近单细胞分辨率的CNA检测.
  • 在 (转移性) 乳腺癌中检测空间亚克隆的证明潜力.

结论:

  • SlideCNA有效地利用RNA表达数据来推断空间分辨的瘤样本中的副本数变化.
  • 该工具克服了稀疏数据的局限性,使瘤遗传学的详细空间分析成为可能.
  • SlideCNA提供了一种新的方法来识别和表征空间亚克隆,这对于理解瘤进化和指导治疗策略至关重要.