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We therefore hypothesize that if regulatory elements of evolutionarily related species are conserved, gene expression signatures reflecting similar phenotypes in the species would also be conserved.
Intensive research over the last several years has led to the appreciation that these tiny RNAs act via a highly prevalent, and generally conserved, gene expression regulatory mechanism that impacts development, homeostasis and disease.
The effect of transcription is particularly visible for genes with highly conserved gene expression.
Examples of conserved gene expression patterns in M. abdita and C. albipunctata are shown in Figure 2.
The first analysis illustrates the fact that conserved gene expression patterns can be identified between different pathologies and animal models.
Those genes having a highly conserved gene expression level can be expected to have less variable substitutional asymmetries over time.
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When stimulated by distinct peptide growth factors (EGF, FGF, PDGF), fibroblasts show a strongly conserved gene-expression signature [ 31].
Gene expression profiles were used to identify conserved gene co-expression patterns in PI3K, Akt1, and Swimming models of physiological LVH and to obtain a global overview of biological functions involved in physiological cardiac remodeling.
Previous reports have explored gene co-expression networks derived from heterogeneous microarray platforms [ 14, 34] and confirm that observing a conserved gene co-expression suggests a biological relevance [ 9, 35].
High-quality conserved gene co-expression profiles were used to assess protein interaction quality.
There were 2128 genes and 4144 interactions common to all three networks, which formed a consensus 'Conserved' gene co-expression network.
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