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Related Concept Videos

Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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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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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
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Related Experiment Video

Updated: Feb 15, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Mapping gene regulatory networks from single-cell omics data.

Mark W E J Fiers1, Liesbeth Minnoye1,2, Sara Aibar1,2

  • 1VIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium.

Briefings in Functional Genomics
|January 18, 2018
PubMed
Summary
This summary is machine-generated.

This review explores advanced single-cell methods for mapping gene regulatory networks (GRNs). These techniques help understand cellular diversity by analyzing gene expression and epigenetic data.

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Area of Science:

  • Genomics and Molecular Biology
  • Computational Biology and Bioinformatics

Background:

  • Single-cell technologies offer deep insights into cellular heterogeneity.
  • Understanding gene regulatory networks (GRNs) is key to explaining this heterogeneity.

Purpose of the Study:

  • To review emerging methods for mapping GRNs from single-cell transcriptomics data.
  • To discuss the utility of single-cell epigenomics for deciphering gene regulatory programs.
  • To highlight future directions in GRN inference using multi-omics and perturbation techniques.

Main Methods:

  • Analysis of single-cell transcriptomics data, addressing noise and sparsity.
  • Application of single-cell epigenomic techniques like ATAC-seq and DNA methylation profiling.
  • Integration of multi-omics and perturbation data for enhanced GRN inference.

Main Results:

  • Emerging methods effectively map GRNs from noisy, sparse single-cell transcriptomics data.
  • Single-cell epigenomics provides crucial insights into gene regulatory mechanisms.
  • Future techniques promise more comprehensive GRN inference.

Conclusions:

  • Single-cell transcriptomics and epigenomics are powerful tools for mapping GRNs.
  • Advancements in multi-omics and perturbation technologies will drive future GRN inference.
  • These integrated approaches are essential for mechanistically understanding cellular heterogeneity.