metabolomics Flashcards
lc,ms,graph types
What is metabolomics?
study of concentrations of
every (or most) metabolites that can be measured in a particular cell)
What can metabolomics be used to study
Carbohydrates, Amino acids, Lipids, Pollutants, Steroid hormones
What is Discovery Metabolomics
Untargeted, examines tens of thousands of metabolites qualitatively to identify differences.
What is Targeted Metabolomics
quantitatively analyzing a limited set of metabolites (tens or hundreds) with concentration standards, useful for precise concentration comparisons.
What is Liquid Chromatography
Separates in a column for a chemical property,
* Detect and record an elution profile
* collect fractions if the goal is the purification of components
The basic setup of LC
Solvents, Sample injections, column, detector to outflow
HPLC?
uses sophisticated instruments operating at high pressures ex Reverse phase chromatography
Mass Spectroscopy?
analyzes the eluted mixture, recording intensity for each m/z value. LC/MS is used for metabolomics to provide separation and mass-specific analysis.
M/z Calculation for Ionized Molecule
The m/z value is calculated by dividing the ionized mass by the charge state
Relationship between Mass Spectrum and Total Ion Chromatogram
The total ion chromatogram (TIC) shows the sum of intensities in the mass spectrum at each time point during liquid chromatography (LC). TIC has time on the x-axis and intensity on the y-axis, representing the overall amount of substances eluting at each moment.
What heavy isotope is the greatest contributor to peaks with higher m/z values in the mass spectrum?
The peaks with higher m/z values are primarily influenced by the natural abundance of 13C, which constitutes approximately 1% of all carbon atoms. No other commonly found element in metabolites has a heavy isotope with such significant natural abundance.
Ionization
charging a molecule
Deprotonation, Cationization, Protonation
Electron Capture
Electron ejection
Time of Flight
Ions travel through field free region at a velocity
proportional to their m/z. Larger/Heavier = Longer time Smaller/Lighter = Shorter time
KE = ½ mv2
Molecular Features- volume
the total area of all ions associated
Principle Components Analysis
(PCA)
Quality Control, Visualization of Patterns. The closer samples are on the scatter plot,
the more similar they are
PLS‐DA
statistical method, overfit data and grouping , more rigorous validation
Hierarchical Clustering
visualize relationships, identify patterns
Volcano plots
p-value vs Fold change, far from the center along the x-axis (high effect size) and high along the y-axis (high significance) are considered significantly changed.
Correlation
Relationship between X and Y
Regression
Predicts the value of a dependent variable based on the known value of the independent variable
Random Forest:
a decision tree with the element of a
sampling technique in which we randomly
sample with replacement from the data
set.
Machine Learning Tools: WGCNA
Weighted Gene Correlation Network
Analysis
identify groups of highly correlated compounds
that co-occur across your samples. Sorted into modules
Arguably biggest issue in metabolomics
Compound identification
limitations
Reproducibility
– Sample prep
– Quantitative platform (validation)
– QC and randomization
* False discovery rates
* Compound identification**
* Interpretation