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  • Vihinen, MaunoLund University,Lunds universitet,Proteinbioinformatik,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Protein Bioinformatics,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments (author)

Generic model for biological regulation

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • 2022-04-13
  • F1000 Research Ltd,2022

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  • LIBRIS-ID:oai:lup.lub.lu.se:1ec9750f-d48f-468e-87fa-7efaf5f7381c
  • https://lup.lub.lu.se/record/1ec9750f-d48f-468e-87fa-7efaf5f7381cURI
  • https://doi.org/10.12688/f1000research.110944.1DOI

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  • Language:English
  • Summary in:English

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  • A substantial portion of molecules in an organism are involved in regulation of a wide spectrum of biological processes. Several models have been presented for various forms of biological regulation, including gene expression regulation and physiological regulation; however, a generic model is missing. Recently a new unifying theory in biology, poikilosis, was presented. Poikilosis indicates that all systems display intrinsic heterogeneity, which is a normal state. The concept of poikilosis allowed development of a model for biological regulation applicable to all types of regulated systems. The perturbation-lagom-TATAR countermeasures-regulator (PLTR) model combines the effects of perturbation and lagom (allowed and sufficient extent of heterogeneity) in a system with tolerance, avoidance, repair, attenuation and resistance (TARAR) countermeasures, and possible regulators. There are three modes of regulation, two of which are lagom-related. In the first scenario, lagom is maintained, both intrinsic (passive) and active TARAR countermeasures can be involved. In the second mode, there is a shift from one lagom to another. In the third mode, reguland regulation, the regulated entity is the target of a regulatory shift, which is often irreversible or requires action of another regulator to return to original state. After the shift, the system enters to lagom maintenance mode, but at new lagom extent. The model is described and elaborated with examples and applications, including medicine and systems biology. Consequences of non-lagom extent of heterogeneity are introduced, along with a novel idea for therapy by reconstituting biological processes to lagom extent, even when the primary effect cannot be treated.

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  • ProteinbioinformatikForskargrupper vid Lunds universitet (creator_code:org_t)

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  • In:F1000Research: F1000 Research Ltd112046-1402

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Vihinen, Mauno
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MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Basic Medicine
and Cell and Molecul ...
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F1000Research
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Lund University

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