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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
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Updated: Oct 26, 2025

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
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INFRAFRONTIER quality principles in systemic phenotyping.

Hilke Ehlich1, Heather L Cater2, Ann M Flenniken3,4

  • 1INFRAFRONTIER GmbH, Neuherberg, Germany.

Mammalian Genome : Official Journal of the International Mammalian Genome Society
|July 30, 2021
PubMed
Summary
This summary is machine-generated.

INFRAFRONTIER developed quality principles to enhance reproducibility in preclinical research using genetically altered mouse models. These principles cover ethical animal testing, personnel training, data sharing, and FAIR data standards.

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Area of Science:

  • Preclinical research
  • Animal models
  • Genetics

Background:

  • Improving reproducibility and replicability in preclinical research is critical.
  • Ethical considerations in animal research necessitate robust quality frameworks.
  • INFRAFRONTIER aims to standardize operations in model mammalian genome research.

Purpose of the Study:

  • To introduce the INFRAFRONTIER Quality Principles for systemic phenotyping.
  • To provide a quality framework for operational activities within the research infrastructure.
  • To address the need for enhanced quality in generating and distributing genetically altered mouse models.

Main Methods:

  • Development of 11 key quality principles for systemic phenotyping.
  • Inclusion of general requirements for animal testing compliance.
  • Incorporation of specific standards for personnel training and data management.

Main Results:

  • The article outlines 11 quality principles for systemic phenotyping of mouse models.
  • Principles cover ethical compliance, personnel expertise, and data standards.
  • FAIR data principles are integrated into the quality framework.

Conclusions:

  • The INFRAFRONTIER Quality Principles offer a comprehensive framework for reproducible preclinical research.
  • Adherence to these principles ensures higher quality in animal model phenotyping and data handling.
  • These guidelines support ethical research practices and advance scientific discovery.