gcProfileMakeR

gcProfileMakeR classifies metabolites into constitutive and non-constitutive categories from Agilent Chemstation GC‑MS Excel output to distinguish physiological, genetic, or environmental contributions to metabolite variation.


Key Features:

  • Data Preprocessing Filters: Removes contaminants and low-quality peaks from standard Excel output files generated by Agilent Chemstation GC‑MS systems.
  • NormalizeWithinFiles: Assigns retention times to CAS numbers within individual samples for accurate within-file identification.
  • NormalizeBetweenFiles: Groups compounds with similar retention times across multiple files to produce consensus compound identities between samples.
  • getGroups: Categorizes metabolites into Constitutive Profile, Non-constitutive by Frequency (metabolites not present in all samples), and Non-constitutive by Quality.
  • plotGroup: Plots grouped results to visualize classification outcomes.

Scientific Applications:

  • Floral scent analysis in snapdragon genotypes: Applied to compare scent emissions across a wild type, Deficiens nicotianoides, compacta, and RNAi:AmLHY (circadian clock gene) genotypes to identify differences in constitutive versus non-constitutive compounds and timing of emission.
  • Metabolomic profiling of complex samples: Enables classification of metabolite presence and quality within large GC‑MS datasets.
  • Comparative genotype analysis: Supports comparative analysis of metabolic outputs between genotypes.
  • Circadian rhythm studies: Facilitates investigation of circadian effects on metabolite production, as exemplified by RNAi:AmLHY analysis.

Methodology:

Uses standard Excel output files from GC‑MS; applies preprocessing filters to remove contaminants and low-quality peaks; normalizes retention times within and between files and assigns CAS numbers; groups compounds and classifies them into Constitutive Profile, Non-constitutive by Frequency, or Non-constitutive by Quality; optionally visualizes group results with plotGroup.

Topics

Details

Tool Type:
library
Programming Languages:
JavaScript, R
Added:
9/20/2021
Last Updated:
9/20/2021

Operations

Data Inputs & Outputs

Essential dynamics

Publications

Perez-Sanz F, Ruiz-Hernández V, Terry MI, Arce-Gallego S, Weiss J, Navarro PJ, Egea-Cortines M. gcProfileMakeR: An R Package for Automatic Classification of Constitutive and Non-Constitutive Metabolites. Metabolites. 2021;11(4):211. doi:10.3390/metabo11040211. PMID:33807334. PMCID:PMC8065537.

PMID: 33807334
PMCID: PMC8065537
Funding: - Ministerio de Ciencia, Innovación y Universidades: BFU2017-88300-C2-1R, BFU2017-88300-C2-2R - Ministerio de Educación, Cultura y Deporte: FPU13/03606

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