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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...
Reporter Genes02:11

Reporter Genes

Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
Commonly used reporter...

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Massively Parallel Reporter Assays in Cultured Mammalian Cells
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Integer programming-based approach to allocation of reporter genes for cell array analysis.

Morihiro Hayashida1, Fuyan Sun, Sachiyo Aburatani

  • 1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji 611-0011, Japan. morihiro@kuicr.kyoto-u.ac.jp

International Journal of Bioinformatics Research and Applications
|January 17, 2009
PubMed
Summary
This summary is machine-generated.

Selecting optimal reporter genes for biological network analysis is challenging. This study introduces graph theory and integer programming methods to efficiently find the best reporter gene sets for cell microarray experiments.

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Analyzing biological networks requires effective reporter gene selection.
  • Cell microarrays are a key technology for high-throughput biological analysis.
  • Reporter gene allocation is a critical but complex problem in network studies.

Purpose of the Study:

  • To develop and evaluate methods for selecting optimal reporter genes for biological network analysis using cell microarrays.
  • To address the computational complexity of the reporter gene allocation problem.
  • To provide practical solutions for identifying effective reporter gene sets.

Main Methods:

  • Formulating the reporter gene allocation problem using graph theory.
  • Developing integer programming-based approaches for optimal solution finding.
  • Applying methods to apoptosis pathway maps and artificial biological networks.

Main Results:

  • Both graph theoretic formulations of the reporter gene allocation problem are computationally hard to approximate.
  • Integer programming methods efficiently solve practical instances of the problem.
  • Optimal solutions for networks with 10,000 nodes are obtainable within seconds.

Conclusions:

  • The proposed integer programming methods offer an effective solution for reporter gene selection in biological network analysis.
  • The findings have significant implications for experimental design in systems biology and cell microarray studies.
  • Efficient computational approaches are crucial for advancing the analysis of complex biological systems.