ArticlePloS one2011
Repeated small perturbation approach reveals transcriptomic steady states.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 9 citations in OpenAlex.
- Landscape dynamic network biomarker analysis reveals the tipping point of transcriptome reprogramming to prevent skin photodamage.Journal of molecular cell biology · 2022Article
- Extremely low-frequency electromagnetic fields cause G1 phase arrest through the activation of the ATM-Chk2-p21 pathway.PloS one · 2014Article
- Distinct epidermal keratinocytes respond to extremely low-frequency electromagnetic fields differently.PloS one · 2014Article
- Sequencing, annotation, and characterization of the influenza ferret infectome.Journal of virology · 2013Article
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Authors and funding
7 authors at 2 institutions in 1 country.
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Abstract
The study of biological systems dynamics requires elucidation of the transitions of steady states. A "small perturbation" approach can provide important information on the "steady state" of a biological system. In our experiments, small perturbations were generated by applying a series of repeating small doses of ultraviolet radiation to a human keratinocyte cell line, HaCaT. The biological response was assessed by monitoring the gene expression profiles using cDNA microarrays. Repeated small doses (10 J/m2) of ultraviolet B (UVB) exposure modulated the expression profiles of two groups of genes in opposite directions. The genes that were up-regulated have functions mainly associated with anti-proliferation/anti-mitogenesis/apoptosis, and the genes that were down-regulated were mainly related to proliferation/mitogenesis/anti-apoptosis. For both groups of genes, repetition of the small doses of UVB caused an immediate response followed by relaxation between successive small perturbations. This cyclic pattern was suppressed when large doses (233 or 582.5 J/m2) of UVB were applied. Our method and results contribute to a foundation for computational systems biology, which implicitly uses the concept of steady state.
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