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About the Plant/Eukaryotic and Microbial Systems Resource

Metabolomic profiling yields a rich resource of information, and one that is often rife with surprises. The overwhelming majority of detected metabolites have yet to be annotated or identified. Metabolomics analysis provides an important resource for establishing functions of genes responsible for metabolism and its regulation, and for modeling metabolic networks.

The metabolome enables a deeper understanding of the metabolic potential of a species, and gives investigators the opportunity to uncover new aspects of the synthesis and accumulation of structurally diverse compounds. Determining the metabolome of a species involves the profiling of the small molecules (chemical compounds varying in size from 100 to 2,500 atomic mass units) across tissues and organs (for multicellular organisms), and in response to a variety of growth conditions or treatments. Hundreds of thousands of metabolites may be present in a species, and no single analytic method is sufficient to observe all the chemical diversity within a living organism. Metabolomics versus transcriptomics. Metabolomics can reveal the metabolic outcome of a genetic or environmental perturbation of a metabolic regulatory network, and thus provide insights into the structure and regulation of that network. contrast to genomics and transcriptomics, because of the chemical complexity of the metabolome and limitations associated with individual analytical platforms for determining the metabolome, it is currently difficult to capture the complete metabolome of an organism or tissue.

Thus analysis of samples by a variety of methods gives a fuller picture of the entire metabolome. Targeted vs non targeted methods. Non-targeted metabolomic profiling refers to a means for documenting the presence of metabolites broadly and without bias to one particular class of compounds versus another. Targeted profiling refers to the typically more precise identification of a smaller number of defined compounds or compound classes. LC-TOF (liquid chromatography-time of flight mass spectrometry), for example, is a key non-targeted analytical method to document the profile of small molecules. To enable a more complete representation of the metabolome, PMR is designed to include non-targeted and targeted metabolomics data, analyzed using a variety of platforms.



Here, we provide a public database for metabolomics data from plants and eukaryotic microorganisms.
  • Researchers can submit their metabolomics data and metadata to PMR. It can be password-protected until publication.

  • The PMR database can be considered a "live" resource. As methods for identification of additional compounds increase, detailed analysis of the raw data will enable classification of additional metabolites in the samples.

  • Metabolomics data can be statistically analyzed and visualized by several methods.

  • The researcher is able to input and compare transcriptomics data (RNAseq or microarray) gathered from the same samples as the metabolomics data. Please contact Manhoi Hur (mhhur at iastate.edu)

Citing Metabolomics Resource
    PMR is offered to the public as a freely available resource. Use and re-distribution of the data, in whole or in part, for commercial purposes requires explicit permission of the authors and explicit acknowledgment of the source material (PMR) and the original publication (see below). We ask that users who download significant portions of the database cite the PMR paper in any resulting publications.
    Manhoi Hur, Alexis Ann Campbell, Marcia Almeida-de-Macedo, Ling Li, Nick Ransom, Adarsh Jose, Matt Crispin, Basil J. Nikolauh and Eve Syrkin Wurtele 2013. A global approach to analysis and interpretation of metabolic data for plant natural product discovery.Natural Product Reports. DOI:10.1039/C3NP20111B Journal Cover:Nat. Prod. Rep., 2013, 30, 565-583
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News

Nov. 18, 2014

Lipidomics data from Welti lab is publicly available on Arabidopsis thaliana. Data are also available on Maize, Soybean, and Zebrafish.

Jan. 13, 2014

54 new samples from RIKEN MeKo Project are also available on Arabidopsis thaliana.

Dec. 27, 2013

Co-analysis is also available: Catharanthus roseus, Rosmarinus officinalis, Valeriana officinalis, Rauvolfia serpentina, and Cannabis sativa

Nov. 01, 2013

Morphological data were generated by independent NSF 2010 projects are available on Arabidopsis thaliana.

Oct. 01, 2013

How to use the PMR metabolomic-transcriptomic co-analysis tool:

July 14, 2013

New!! Co-analysis of metabolomics and transcriptomics data. Current species available:(Echinacea purpurea ,  Hypericum perforatum ).

July 1, 2013

50 new samples from Arabidopsis thaliana from RIKEN MeKo Project . Contact for questions regarding the datasets.

Oct 29, 2012

We have recently downloaded the full data and metadata for PlantMetabolomics, an NSF-funded multi-institutional project to develop metabolomics as a tool for elucidating the functions of Arabidopsis genes. The Consortium, PI Basil Nikolau ( dimmas@iastate.edu ), established metabolomic platforms to detect approximately 1,800 metabolites, of which 900 are chemically defined. The consortium profiled the metabolome of Arabidopsis T-DNA knockout alleles for genes whose functions were currently not fully understood. Some of these genes were generated by independent NSF 2010 projects. These data can be integrated with phenotypic data and data concerning protein function, transcription and other studies to help users generate hypotheses concerning the functions of the targeted genes. More details are here. Contact for questions regarding the datasets.

Sept 6, 2012

The metabolomic resources for 16 medicinal plant species are now available for general access and use. If you encounter difficulties with this resource, please contact Eve Wurtele (mash@iastate.edu).

What is Metabolomics?

Metabolomics is the science of determining the metabolome of a biological sample.

What is the metabolome?

The metabolome is the collection of small organic molecules in a cell.

Why is determining the metabolome important?

The metabolome of a biological sample is a snap-shot of that sample's metabolic status. This snap-shot integrates the history of the combined genetic and environmental influences on the metabolism of that sample. By comparing the metabolomes of samples, one is able to gain insights as to the genetic, environmental and developmental modulators that distinguish the samples.

How to use the Plant/Eukaryotic and Microbial Systems Resource ?A tutorial video on the youtube

  • Select a species and an experiment to view the data (Step 1,2)
  • Use SCATTERPLOT MATRIX to evaluate the reproducibility of biological replicates of any sample on selected experiment page (Step 3)
  • To comparing metabolite accumulation data, select any two samples and click "Generate plot" to obtain an interactive VOLCANO PLOT with statistical information (Step 5)
  • Select a metabolite to view details about its structural properties and its accumulation profile in that species
  • Open DETAILED EXPERIMENTAL DATA to view numerical results for all replicates
  • Plots, tables, and graphs are interactive and linked. CLICKING (or mousing over) A DATA POINT brings information about what that data point represents
  • To use the new metabolomic-transcriptomic co-analysis tool, see tutorial video on YouTube .