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Related Concept Videos

Epigenetic Regulation01:37

Epigenetic Regulation

4.0K
Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
X-chromosome...
4.0K
Epigenetic Regulation01:46

Epigenetic Regulation

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Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
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Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

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Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
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Transcription01:17

Transcription

34.5K
Transcription is the synthesis of RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in correctly synthesizing messenger RNA (mRNA). Transcriptional regulation is responsible for the differentiation of different types of cells and often for the proper cellular response to environmental signals.
Transcription Can Produce Different Kinds of RNA Molecules
In eukaryotes,...
34.5K
Transcription01:10

Transcription

157.9K
Overview
Transcription is the process of synthesizing RNA from a DNA sequence by RNA polymerase. It is the first step in producing a protein from a gene sequence. Additionally, many other proteins and regulatory sequences are involved in the proper synthesis of messenger RNA (mRNA). Regulation of transcription is responsible for the differentiation of all the different types of cells and often for the proper cellular response to environmental signals.
Transcription Can Produce Different Kinds...
157.9K
General Transcription Factors01:30

General Transcription Factors

7.4K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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Related Experiment Video

Updated: Mar 8, 2026

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
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Decoding transcriptional states in cancer.

Jasper Wouters1, Zeynep Kalender Atak1, Stein Aerts1

  • 1Laboratory of Computational Biology, VIB Center for Brain & Disease Research, Leuven, Belgium; Department of Human Genetics, KU Leuven (University of Leuven), Leuven, Belgium.

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Cancer gene regulatory networks can be reverse-engineered using transcriptome and epigenome data. New computational and single-cell genomics approaches allow detailed modeling of dynamic regulatory states in tumors.

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Area of Science:

  • Genomics
  • Systems Biology
  • Cancer Biology

Background:

  • Gene regulatory networks (GRNs) are crucial for cellular identity.
  • Cancer involves GRN aberrations due to mutations in transcription factors and chromatin modifiers.
  • Cancer cells, despite mutations, adhere to fundamental cis-regulatory principles, making them models for transcriptional regulation studies.

Purpose of the Study:

  • To review experimental and computational techniques for reverse-engineering cancer gene networks.
  • To highlight the potential of new algorithms and data integration strategies.
  • To emphasize the role of single-cell genomics in modeling dynamic regulatory states.

Main Methods:

  • Review of recent experimental and computational techniques.
  • Analysis of transcriptome and epigenome data.
  • Integration of single-cell genomics data.

Main Results:

  • Cancer gene transcription follows conserved cis-regulatory rules.
  • Tumors exhibit regulatory heterogeneity with distinct cellular subpopulations.
  • Advanced methods enable modeling of dynamic regulatory states at high resolution.

Conclusions:

  • Reverse-engineering cancer GRNs is feasible using multi-omics data.
  • Understanding regulatory heterogeneity is key for therapeutic implications.
  • Emerging technologies offer unprecedented resolution for modeling cancer cell states.