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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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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

Microarray data analysis of gene expression evolution.

Honghuang Lin1

  • 1Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA. honghuang_lin@dfci.harvard.edu

Gene Regulation and Systems Biology
|January 8, 2010
PubMed
Summary
This summary is machine-generated.

Microarray analysis reveals conserved gene expression patterns in biological processes, but finds no significant link between promoter conservation and gene expression. This study offers insights into gene expression evolution.

Keywords:
data analysisfunction enrichmentgene expression evolutionmicroarraynormalization

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Area of Science:

  • Evolutionary biology
  • Genomics
  • Bioinformatics

Background:

  • Microarrays are increasingly utilized for investigating gene expression evolution.
  • Gene expression patterns can provide insights into evolutionary processes.
  • Understanding the relationship between genetic elements and expression is crucial for evolutionary studies.

Purpose of the Study:

  • To comprehensively study gene expression evolution using microarray data.
  • To explore gene expression evolution through the lens of functional enrichment and promoter conservation.
  • To identify conserved gene expression patterns and their correlation with promoter elements.

Main Methods:

  • Utilized microarray technology for gene expression profiling.
  • Applied functional enrichment analysis to categorize biological processes.
  • Assessed promoter conservation across different species or conditions.

Main Results:

  • Identified highly conserved gene expression patterns in specific biological processes.
  • Found an insignificant correlation between promoter conservation and gene expression levels.
  • Highlighted the complexity of gene expression evolution beyond simple promoter-expression links.

Conclusions:

  • Gene expression evolution is complex, with conservation varying across biological functions.
  • Promoter conservation alone does not adequately explain observed gene expression patterns.
  • Future research should integrate multiple factors to fully understand gene expression evolution.