ArticleBMC genomics2010
Collective motions and specific effectors: a statistical mechanics perspective on biological regulation.
Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Toward a Logic of the Organism: A Process Philosophical Consideration.Entropy (Basel, Switzerland) · 2021Article
- Phenotypic Plasticity and Cell Fate Decisions in Cancer: Insights from Dynamical Systems Theory.Cancers · 2017Review
- Why network approach can promote a new way of thinking in biology.Frontiers in genetics · 2014Article
- Mitochondrial network genes in the skeletal muscle of amyotrophic lateral sclerosis patients.PloS one · 2013Article
- A systems biology strategy on differential gene expression data discloses some biological features of atrial fibrillation.PloS one · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe interaction of a multiplicity of scales in both time and space is a fundamental feature of biological systems. The complementation of macroscopic (entire organism) and microscopic (molecular biology) views with a mesoscopic level of analysis able to connect the different planes of investigation is urgently needed. This will allow to both obtain a general frame of reference for rationalizing the burden of data coming from high throughput technologies and to derive effective operational views on biological systems.
resultsThe network paradigm in which microscopic level elements (nodes) are each other related by functional links so giving rise to both global (entire network) and local (specific) behavior is a promising metaphor to try and develop a statistical mechanics inspired approach for biological systems. Here we show the application of this paradigm to different systems going from yeast metabolism to murine macrophages response to immune stimulation.
conclusionsThe need to complement the purely molecular view with mesoscopic approaches is evident in all the studied examples that in turn demonstrate the untenability of the simple ergodic approach dominant in molecular biology in which the data coming from huge ensemble of cells are considered as relative to a single 'average' cell.
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Registered trials
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