ArticleScientific reports2021
Gene expression rearrangements denoting changes in the biological state.
Article in Scientific reports, 2021. 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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Who cites it
6 citing papers in PubMed.
- Mapping cancer dynamics from normal tissue to malignancy using N- and T-gene expression markers.Frontiers in systems biology · 2026Article
- N-Gene and T-Gene deregulation networks: a data-driven causal framework for the analysis of gene interventions in cancer.Frontiers in systems biology · 2026Article
- Article
- On the gene expression landscape of cancer.PloS one · 2023Article
- Estimating the number of available states for normal and tumor tissues in gene expression space.Biophysical reports · 2022Article
- A one-dimensional parameter-free model for carcinogenesis in gene expression space.Scientific reports · 2022Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In many situations, the gene expression signature is a unique marker of the biological state. We study the modification of the gene expression distribution function when the biological state of a system experiences a change. This change may be the result of a selective pressure, as in the Long Term Evolution Experiment with E. Coli populations, or the progression to Alzheimer disease in aged brains, or the progression from a normal tissue to the cancer state. The first two cases seem to belong to a class of transitions, where the initial and final states are relatively close to each other, and the distribution function for the differential expressions is short ranged, with a tail of only a few dozens of strongly varying genes. In the latter case, cancer, the initial and final states are far apart and separated by a low-fitness barrier. The distribution function shows a very heavy tail, with thousands of silenced and over-expressed genes. We characterize the biological states by means of their principal component representations, and the expression distribution functions by their maximal and minimal differential expression values and the exponents of the Pareto laws describing the tails.
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