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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Regulation of Expression at Multiple Steps

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 addition of a...
Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
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Regulation of Expression Occurs at Multiple Steps02:24

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Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...

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Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
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Multi-membership gene regulation in pathway based microarray analysis.

Stelios P Pavlidis1, Annette M Payne, Stephen M Swift

  • 1School of Information Systems, Computing and Maths, Brunel University, Uxbridge, UB8 3PH, UK. stelios.pavlidis@brunel.ac.uk.

Algorithms for Molecular Biology : AMB
|September 24, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel pathway-based gene expression analysis method. It reveals how gene expression in multiple pathways provides insights into biological processes and experimental conditions.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • Gene expression analysis is a key area of research.
  • Integrating microarray data with biological knowledge is gaining traction.
  • Genes often participate in multiple biochemical pathways.

Purpose of the Study:

  • To develop a pathway-based methodology for microarray data analysis.
  • To identify pathways significantly affected by experimental conditions.
  • To leverage the multi-pathway participation of genes for analysis.

Main Methods:

  • Utilized algorithms like hill climbing, simulated annealing, and genetic algorithms.
  • Applied fuzzy adjusted rand indexes and hamming distance for result consistency analysis.
  • Allocated genes to pathways based on their expression behavior and pathway membership.

Main Results:

  • Algorithms demonstrated high consistency in gene-to-pathway allocations.
  • Revealed gene contributions to pathway functionality.
  • Simulated annealing showed slightly superior efficiency.

Conclusions:

  • Gene expression values reflect contributions to multiple biochemical pathways.
  • Interpreting microarray results can be achieved by analyzing gene contributions to pathways and modules.
  • The proposed method offers a new perspective on understanding gene expression data.