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R-ODAF: Omics data analysis framework for regulatory application.

Marcha Ct Verheijen1, Matthew J Meier2, Juan Ochoteco Asensio1

  • 1Department of Toxicogenomics, School of Oncology and Developmental Biology (GROW), Maastricht University, Maastricht, the Netherlands.

Regulatory Toxicology and Pharmacology : RTP
|March 5, 2022
PubMed
Summary
This summary is machine-generated.

Regulatory acceptance of transcriptomics data is limited due to analysis variability. We introduce the omics data analysis framework for regulatory application (R-ODAF) to standardize transcriptomics analysis and improve reproducibility for hazard assessment.

Keywords:
DEGsData analysisRNA-SeqStatistical analysisStatisticsTranscriptomics

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Area of Science:

  • Toxicology
  • Bioinformatics
  • Genomics

Background:

  • Transcriptomics data is increasingly used in toxicology research.
  • Limited regulatory acceptance stems from data analysis variability and lack of reproducibility.
  • Regulatory applications require unambiguous, legally defensible data.

Purpose of the Study:

  • To propose a standardized analysis framework for transcriptomics data in regulatory toxicology.
  • To enhance the credibility and reproducibility of transcriptomics data for hazard assessment.
  • To address the need for unambiguous data interpretation in regulatory submissions.

Main Methods:

  • Development of the omics data analysis framework for regulatory application (R-ODAF).
  • R-ODAF is a user-friendly pipeline for analyzing raw transcriptomics data from microarrays and next-generation sequencing.
  • Inclusion of additional statistical steps in R-ODAF to reduce false positives in RNA-sequencing data analysis.

Main Results:

  • R-ODAF provides a standardized workflow for transcriptomics data analysis.
  • The framework enhances the reliability of data by implementing additional statistical steps.
  • Demonstrated added value of R-ODAF compared to standard workflows using a toxicogenomics dataset (paracetamol-exposed hepatocytes).

Conclusions:

  • R-ODAF offers a credible and reproducible method for analyzing transcriptomics data for regulatory purposes.
  • The proposed framework can increase regulatory acceptance of transcriptomics data in toxicology.
  • Standardized analysis pipelines like R-ODAF are crucial for advancing the use of transcriptomics in regulatory science.