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Related Concept Videos

Cis-regulatory Sequences02:02

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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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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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Evolutionary Context Improves Regulatory Network Predictions.

Jonathan L Gordon1, Brigida Gallone2, Steven Maere3

  • 1VIB Center for Microbiology and Laboratory for Genetics and Genomics, Department M2S, KU Leuven, Bio-Incubator, Gaston Geenslaan 1, 3001 Leuven, Belgium.

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Summary
This summary is machine-generated.

A new algorithm uses evolutionary relationships to improve understanding of how gene regulation evolves across different species. This approach aids in comparative genomics and evolutionary biology research.

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Area of Science:

  • Evolutionary biology
  • Genomics
  • Bioinformatics

Background:

  • Understanding gene regulation evolution is crucial for deciphering species divergence.
  • Phylogenetic information offers insights into evolutionary relationships.

Purpose of the Study:

  • To introduce a novel algorithm for analyzing the evolutionary divergence of gene regulation.
  • To enhance the understanding of interspecies gene regulatory evolution.

Main Methods:

  • Development of a new algorithm.
  • Integration of phylogenetic information into the algorithm.
  • Comparative analysis of gene regulation across species.

Main Results:

  • The algorithm successfully harnesses phylogenetic data.
  • Improved comprehension of evolutionary divergence in gene regulation.

Conclusions:

  • The novel algorithm provides a powerful tool for studying gene regulatory evolution.
  • Facilitates deeper insights into the mechanisms driving species-specific gene regulation.