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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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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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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.
In contrast, regions which code...
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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
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Genetic Variation01:25

Genetic Variation

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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
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Plotting of Topographic Maps01:29

Plotting of Topographic Maps

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Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
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Quantification of Orofacial Phenotypes in Xenopus
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通过投射到形态相关曲线来识别空间变量的基因.

Phillip B Nicol1,2, Rong Ma1,2, Rosalind J Xu3,4

  • 1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.

bioRxiv : the preprint server for biology
|November 28, 2024
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概括

本研究引入了一种新的光谱图理论方法,用于创建空间转录学数据的1D坐标系统. 这种方法通过更好地反映组织形态来增强空间变量基因的识别.

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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
  • 生物信息学是一种生物信息学.

背景情况:

  • 空间转录组学提供高分辨率的基因表达数据与空间上下文.
  • 识别空间变量基因对于理解组织组织至关重要.
  • 当前的2D方法与隐含的1D组织结构扎,忽视了潜在的形态学.

研究的目的:

  • 开发一个新的空间转录学数据分析方法,以解释底层组织形态.
  • 改进复杂组织结构中空间可变基因的识别.
  • 为了建立一个更准确的坐标系统来分析基因表达模式.

主要方法:

  • 利用光谱图理论推导出一个1D曲线,近似样本坐标.
  • 建立了一个新的,形态相关的坐标系.
  • 开发了一种通用添加模型 (GAM) 来检测新坐标系中的基因表达变异性.
  • 直接建模基因计数,避免正常化和转换步骤.

主要成果:

  • 与现有的假设测试方法相比,表现出更好的性能.
  • 准确估计的基因表达模式.
  • 精确识别了具有显著基因表达偏差的空间位置.
  • 通过模拟和多平台实验数据 (Slide-seq,MERFISH) 验证了方法.

结论:

  • 拟议的方法有效地捕获空间转录组学数据中的1D组织组织.
  • 这种形态相关的坐标系统增强了空间变量基因的检测.
  • 该方法为分析不同平台的空间基因表达模式提供了强大而准确的替代方案.