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Related Concept Videos

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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Structure of a Gene01:30

Structure of a Gene

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A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
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Related Experiment Video

Updated: Jun 7, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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Engineering structural variants to interrogate genome function.

Jonas Koeppel1, Juliane Weller1, Thomas Vanderstichele1

  • 1Wellcome Sanger Institute, Hinxton, UK.

Nature Genetics
|November 12, 2024
PubMed
Summary
This summary is machine-generated.

Structural variations significantly impact gene expression and disease. New genome engineering tools enable the creation and study of diverse structural variations, advancing our understanding of their roles.

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Related Experiment Videos

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Area of Science:

  • Genomics
  • Molecular Biology
  • Genetics

Background:

  • Structural variations (SVs) like deletions and duplications profoundly affect gene expression, genome stability, and disease susceptibility.
  • SVs contribute more to human genetic diversity and phenotypic traits than point mutations.
  • Previous understanding of SVs relied on naturally occurring variations.

Purpose of the Study:

  • To review genome-engineering tools for generating structural variation.
  • To discuss applications of these tools in research.
  • To highlight challenges in harnessing the potential of engineered SVs.

Main Methods:

  • Utilizing new genome-engineering tools (e.g., recombinases) to create deletions, insertions, inversions, and translocations.
  • Designing and generating synthetic DNA constructs.
  • Analyzing the effects of engineered SVs.

Main Results:

  • Genome-engineering tools now allow for the design and generation of a wider range of structural variations.
  • These tools facilitate the study of SVs beyond naturally occurring ones.
  • Examples of applications demonstrate the utility of these methods.

Conclusions:

  • Advanced genome-engineering tools expand the possibilities for studying structural variation.
  • Further research is needed to overcome existing challenges and fully utilize these technologies.
  • Understanding engineered SVs will deepen insights into gene function, evolution, and disease.