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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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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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Gene Evolution - Fast or Slow?02:05

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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相关实验视频

Updated: Jul 19, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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从单细胞RNA-seq数据得出的族系学推断.

Xuan Liu1, Jason I Griffiths2, Isaac Bishara2

  • 1Department of Integrative Biology & Pharmacology, University of Texas Health Science Center at Houston, 6431 Fannin St, MSB 4.218, Houston, TX, 77030, USA.

Scientific reports
|August 8, 2023
PubMed
概括
此摘要是机器生成的。

PhylinSic从单细胞RNA测序数据中重建了癌细胞的进化. 这种方法将细胞基因型和表型联系起来,揭示了瘤如何对化疗等疗法产生抗性.

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Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets
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Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq
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Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq
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Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing DIVA-Seq

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科学领域:

  • 在瘤学瘤学.
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 瘤含有多样化的癌细胞亚群,具有不断变化的遗传特征.
  • 了解癌症演变是识别导致瘤进展的恶性性质的关键.
  • 从单细胞数据中重建细胞系并将其与表型联系起来是具有挑战性的.

研究的目的:

  • 开发一种计算方法来重建细胞之间的遗传关系.
  • 将这些进化关系与来自单细胞RNA测序 (scRNA-Seq) 数据的基因表达特征联系起来.
  • 为了使癌症演变的研究和恶性表型的获取.

主要方法:

  • 开发了PhylinSic,这是从scRNA-Seq数据中进行家族遗传重建的新方法.
  • 采用了核酸基调用的概率平滑方法.
  • 使用贝叶斯建模算法来估计家族遗传树.

主要成果:

  • 菲林Sic成功地确定了与药物选择和转移相关的进化关系.
  • 该方法在检测由遗传漂移产生的子克隆方面表现出灵敏度.
  • 对耐化疗乳腺癌的分析揭示了具有独立K-Ras和β-catenin获取的多种血统.

结论:

  • PhylinSic能够重建瘤进化,并将细胞基因型与表型联系起来.
  • 这些发现表明,持久的治疗策略可能需要针对多种新出现的癌症血统.
  • 这种方法促进了对瘤内部异质性和治疗耐药性的理解.