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Related Experiment Video

Updated: May 9, 2026

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
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Quantitative assessment of biological impact using transcriptomic data and mechanistic network models.

Ty M Thomson1, Alain Sewer, Florian Martin

  • 1Selventa, One Alewife Center, Cambridge, MA 02140, USA.

Toxicology and Applied Pharmacology
|August 13, 2013
PubMed
Summary

This study introduces a new systems biology method to measure the biological impact of substances using network models and gene expression data. The approach objectively quantifies effects across molecular, pathway, and process levels for various applications.

Keywords:
Bioactive substanceBiological impactMechanismsNetwork modelQuantificationTranscriptome

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Last Updated: May 9, 2026

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Area of Science:

  • Systems Biology
  • Toxicology
  • Pharmacology

Background:

  • Exposure to active substances impacts biological systems from molecules to cellular processes.
  • Deriving mechanistic insights requires integrating experimental data with prior system knowledge.
  • Current methods may lack a systematic, quantitative approach to assess broad biological impacts.

Purpose of the Study:

  • To develop and validate a novel systems biology methodology for quantitatively assessing the biological impact of exposures.
  • To enable objective, systematic, and quantifiable evaluation of substance effects at multiple biological levels.
  • To compute a systems-wide and pan-mechanistic biological impact measure.

Main Methods:

  • Constructed hierarchically organized mechanistic network models.
  • Integrated transcriptomic data with network models.
  • Validated the methodology using in vitro and in vivo experimental data.

Main Results:

  • The methodology successfully recapitulated known biological responses in both simple and complex exposure systems.
  • Quantitative results aligned with experimental endpoint data, confirming mechanistic effects.
  • The approach provided objective confirmation of the system's biological impact.

Conclusions:

  • The developed methodology offers an objective, systematic, and quantifiable way to evaluate the biological impact of exposures.
  • It enables the calculation of a comprehensive biological impact measure for substances or mixtures.
  • This approach has potential applications in drug development, consumer product testing, and environmental impact analysis.