Click a question to view the answer.
Very broadly, an mView study is undertaken to understand the biochemical changes
in a complex biological system by comparing relative changes in biochemical concentrations
between control and treated groups. The study involves analyzing hundreds of biochemicals
in a sample, detecting amino acids, carbohydrates, lipids, cofactors, nucleosides
and other biochemicals. From this analysis, it is possible to quickly pinpoint biochemical
perturbations related to the experiment—be it a drug dosage, a disease state, dietary
change or other experimental variable.
A typical study involves a comparison between control group and an experimental
group. For example, the control group could be plasma from animals fed a normal
diet whereas the experimental group is plasma fed a diet high in a specific nutrient.
By analyzing the global biochemical profile in each group the fold-change, relative
to the control of each biochemical, can be determined. Time course studies can also
be done using time-matched controls. For example, urine from rats dosed with a drug
can be collected over several weeks and compared to t=0.
For minimum statistical power, the following requirements must be met:
The number of samples in the control and experimental groups must be balanced (i.e.
same number in each group)
The number of samples in each group depends on the biological variability of the
system. Below are the minimum number of samples for each group:
- Cell culture: 6
- Animals: 8
- Humans: 10-25 (depending on gender, age, ethnic matching plus diet control)
For example, in a study involving mice exposed to a carcinogen, the minimum number
of samples for the study would be 16, 8 control mice (not exposed) and 8 experiment
We have experience analyzing plasma, serum, urine, tissue, cells, media, CSF, saliva
Urine, plasma and media: 100 µL
Tissue: 50 mg
Cells: 5 x 106
The number of named biochemicals detected and identified depends on the specific
matrix being analyzed. For example, we can detect more biochemicals in urine than
in plasma. On average, the number ranges from 200-300 individual biochemicals.
When we analyze samples, a number of biochemical species are identified. By comparing
each biochemical to our database, the biochemicals which match our database are
identified, or named.
- Amino acids
- Amino sugars
- Glycolysis metabolites
- Gluconeogenesis metabolites
- Nucleotide sugars
- Fatty acids
- Bile acids
- Energy Metabolism
- Krebs cycle metabolites
- Oxidative phosphorylation metabolites
- Purine metabolites
- Pyrimidine metabolites
Because mView studies profile a broad range of biochemicals, they are typically
used to understand the global effects of a biological perturbation, be it drug,
disease or diet. Understanding global effects can then be used to pinpoint specific
biochemical pathways, helping to better understand the mechanism of the perturbation
- Fill out and submit the study submission form on the website.
- Metabolon will review the study details and email the study proposal to you, with
detailed pricing, delivery times and a sample collection protocol.
- After approving the study, Metabolon will send sample shipping information.
- Samples are shipped to Metabolon for processing and analysis.
- After analysis, the results are emailed to you.
An mView study can deliver three types of data, a biochemical data file, statistical
heat map and unsupervised classification. The biochemical data file is delivered
as part of any mView project whereas the statistical heat map and unsupervised classification
- Biochemical Data File. The spreadsheet file contains information
about each sample processed: biochemical name, super pathway, sub pathway, KEGG
ID, HMDB ID and relative amount detected. The data is provided in two forms, raw
- Statistical Heat Map. Statistical analysis of the data shows the
fold change of each biochemical, grouped by super and sub pathway, and color coded
in terms of increase or decrease relative to control.
- Unsupervised Classification. The final data will be clustered using
unsupervised hierarchical cluster
analysis. (Sample Cluster Analysis)
The heat map and unsupervised classification can be generated at any time after
the study. The cost will be on your
study proposal quote
The cost depends on the number of samples and the type of data report requested.
Exact pricing can be determined on the
Study Proposal Submission Form