ABI Bioinformatics Guide 2024
  • INTRODUCTION
    • How to use the guide
  • MOLECULAR BIOLOGY
    • The Cell
      • Cells and Their Organelles
      • Cell Specialisation
      • Quiz 1
    • Biological Molecules
      • Carbohydrates
      • Lipids
      • Nucleic Acids (DNA and RNA)
      • Quiz 2
      • Proteins
      • Catalysis of Biological Reactions
      • Quiz 3
    • Information Flow in the Cell
      • DNA Replication
      • Gene Expression: Transcription
      • Gene Expression: RNA Processing
      • Quiz 4
      • Chromatin and Chromosomes
      • Regulation of Gene Expression
      • Quiz 5
      • The Genetic Code
      • Gene Expression: Translation
    • Cell Cycle and Cell Division
      • Quiz 6
    • Mutations and Variations
      • Point mutations
      • Genotype-Phenotype Interactions
      • Quiz 7
  • PROGRAMMING
    • Python for Genomics
    • R programming (optional)
  • STATISTICS: THEORY
    • Introduction to Probability
      • Conditional Probability
      • Independent Events
    • Random Variables
      • Independent, Dependent and Controlled Variables
    • Data distribution PMF, PDF, CDF
    • Mean, Variance of a Random Variable
    • Some Common Distributions
    • Exploratory Statistics: Mean, Median, Quantiles, Variance/SD
    • Data Visualization
    • Confidence Intervals
    • Comparison tests, p-value, z-score
    • Multiple test correction: Bonferroni, FDR
    • Regression & Correlation
    • Dimentionality Reduction
      • PCA (Principal Component Analysis)
      • t-SNE (t-Distributed Stochastic Neighbor Embedding)
      • UMAP (Uniform Manifold Approximation and Projection)
    • QUIZ
  • STATISTICS & PROGRAMMING
  • BIOINFORMATICS ALGORITHMS
    • Introduction
    • DNA strings and sequencing file formats
    • Read alignment: exact matching
    • Indexing before alignment
    • Read alignment: approximate matching
    • Global and local alignment
  • NGS DATA ANALYSIS & FUNCTIONAL GENOMICS
    • Experimental Techniques
      • Polymerase Chain Reaction
      • Sanger (first generation) Sequencing Technologies
      • Next (second) Generation Sequencing technologies
      • The third generation of sequencing technologies
    • The Linux Command-line
      • Connecting to the Server
      • The Linux Command-Line For Beginners
      • The Bash Terminal
    • File formats, alignment, and genomic features
      • FASTA & FASTQ file formats
      • Basic Unix Commands for Genomics
      • Sequences and Genomic Features Part 1
      • Sequences and Genomic Features Part 2: SAMtools
      • Sequences and Genomic Features Part 3: BEDtools
    • Genetic variations & variant calling
      • Genomic Variations
      • Alignment and variant detection: Practical
      • Integrative Genomics Viewer
      • Variant Calling with GATK
    • RNA Sequencing & Gene expression
      • Gene expression and how we measure it
      • Gene expression quantification and normalization
      • Explorative analysis of gene expression
      • Differential expression analysis with DESeq2
      • Functional enrichment analysis
    • Single-cell Sequencing and Data Analysis
      • scRNA-seq Data Analysis Workflow
      • scRNA-seq Data Visualization Methods
  • FINAL REMARKS
Powered by GitBook
On this page
  • Chromatin regulation
  • Transcription factors
  • Activation of transcription factors
  • Transcriptome

Was this helpful?

  1. MOLECULAR BIOLOGY
  2. Information Flow in the Cell

Regulation of Gene Expression

PreviousChromatin and ChromosomesNextQuiz 5

Last updated 12 months ago

Was this helpful?

As we have noted earlier, cells in multicellular organisms can express different sets of genes defining cells' specific functions and structural features. Expression can be regulated at any step leading from a gene to a protein and even at the proceeding steps of protein inactivation and degradation. We have previously outlined the RNA processing control resulting in diverse RNA splicing products, however, for most genes, the control at the transcription level is of primary importance.

Chromatin regulation

The regulation of gene expression through altering chromatin structure determines the accessibility of genes and their promoters to the transcription machinery. Genes situated in dense chromatin regions, known as heterochromatin, are typically inaccessible for transcription. In contrast, genes located in decondensed chromatin regions (euchromatin), can be transcribed, with the level of transcription influenced by factors such as nucleosome positioning, histone modifications, and modifications of nucleotides in the DNA.

One common histone modification that influences chromatin structure is histone acetylation, where acetyl groups are added to lysine side chains, removing their positive charge. This modification reduces the affinity of histones for DNA, resulting in chromatin opening and increased accessibility of DNA for transcription-related proteins, thus enhancing gene expression.

A prevalent nucleotide modification in eukaryotes is cytosine methylation. Methylated genes are typically inactive, and their demethylation leads to gene activation and increased expression.

DNA methylation and histone modifications, despite being reversible, can be transmitted to daughter cells during cell division. This type of inheritance, which involves the transmission of information that is not encoded in the DNA sequence itself but rather in the modifications of DNA and histones, is called epigenetic inheritance.

Transcription factors

The initiation of transcription of all protein-coding genes in eukaryotes relies on a set of proteins known as general transcription factors, which bind to the promoter region. However, for genes with tissue-specific expression patterns, additional transcription factors are required. These specialised transcription factors bind to specific DNA sequences and either facilitate or block the binding of RNA polymerase, thus regulating transcription initiation.

Transcription factors that enhance transcription are called activators, and they bind to enhancer sequences in the DNA. Conversely, transcription factors that inhibit transcription are termed repressors, and they bind to silencer sequences.

Each transcription factor typically regulates multiple genes. However, activation of a particular gene's expression depends on the specific combination of transcription factors present (in the case of activators) or absent (in the case of repressors). This intricate network of transcription factors ensures precise control over gene expression in response to cellular signals and developmental cues.

Activation of transcription factors

Alterations in gene expression within a cell can occur through various mechanisms in response to numerous internal and external stimuli. One common example is the cell's response to a chemical stimulus, such as a hormone.

In this scenario, a hormone typically binds to a receptor located on the cell's surface. This binding event induces a conformational change in the receptor, initiating a cascade of molecular events within the cell known as a signal transduction pathway. Eventually, this pathway leads to the activation of specific transcription factors.

Once activated, these transcription factors modulate gene expression by binding to the regulatory regions of their target genes. This binding alters the expression levels of these genes, thereby implementing the response to the initial stimulus.

Transcriptome

Histone acetylation results in opening up chromosome Image source: Eslaminejad, Mohamadreza & Fani, Nesa & Shahhoseini, Maryam. (2013). Epigenetic Regulation of Osteogenic and Chondrogenic Differentiation of Mesenchymal Stem Cells in Culture. Cell Journal. 15. 1-10.
DNA methylation silences chromatin
Transcription activators bind the enhancer to promote the expression of a gene Image source: CNX OpenStax - http://cnx.org/contents/GFy_h8cu@10.53:rZudN6XP@2/Introduction, CC BY 4.0, https://commons.wikimedia.org/w/index.php?curid=49929334
A combination of transcription factors is often required to initiate gene expression Image source: Untitled image. "Combinatorial control". Accessed April 17, 2024. https://www.khanacademy.org/science/biology/gene-expression-central-dogma/translation-polypeptides/a/the-stages-of-translation
Activation of a transcription factor through a signal transduction pathway Image source: Untitled image. "Transcription and DNA-Protein Binding". Accessed April 17, 2024. https://biologicalmodeling.org/motifs/transcription Creative Commons Attribution-NonCommercial-NoDerivatives 4.0