Workflow diagram

The workflow diagram summarises the entire workflow and can help you make decisions about which tools are most relevant to your analysis based on the type of Mass Spectrometry you have used.

The diagram is split into sections which correspond to the stages of the guide (see sidebar menu). Click on an element to navigate the guide or use the menu to the left.

Plants

Bacteria

MALDI

DI-ESI-MS

LC-ESI-MS

MALDI

DI-ESI-MS

LC-ESI-MS

Open source\nlocal\nversion control with git

Open source\nonline\nsense checks

Proprietary\nlocal

Stage 1 - Metabolite Extraction

Plants or bacteria

Quenching, extraction & phase separation

Growth & isolation of cells

Stage 2 - Data Acquisition

Which MS?

MALDI

DI-ESI-MS

LC-ESI-MS

GC-ESI-MS

Standardized GCMS workflow

.RAW files from MassLynx

Stage 3 - Data conversion to open format

Convert data\n Proteowizard > MSConvert\n * scanEvent\n * polarity

.mzML open format\n profile

Convert & compress data\n Proteowizard > MSConvert\n * Scan range\n * scanEvent\n * polarity

.mzML open format\n profile, selected scans

Convert & compress data\n Proteowizard > MSConvert\n * peakPicking\n * scanEvent\n * polarity

.mzML open format\n centroid

Stage 4 - Data preprocessing

MassUp or R to run\n MALDIquant\nbaseline correction, normalization, alignment, peak detection

XCMSonline or R to run\n XCMS\nPeak picking, RT correction, alignment, grouping

Stage 5 - Extract & format peak table & metadata

Download each sample's .csv\n and tidy in R

.csv peak table\n samples as rows, m.z as columns

Download results folder\n and tidy in R

.csv metadata\n sample, independent variable1 ...

Stage 6 - Multivariate analysis

Open source, online, \nlocal and/or proprietary?

pcaMethods & muma\n using R & RStudio

Metaboanalyst

Proprietary software\n e.g. SIMCA by Umetrics

Load data and metadata

Scaling & normalization

Exploratory analysis\n PCA, PERMANOVA & interpretation

Directed analysis where appropriate\n OPLS-DA & detailed stats

List of features of interest\nm/z or m/z with RT

Graphs & stats for reporting

Stage 7 - Putative metabolite identification

Use features of interest\n to search databases/repositories and literature\n e.g. METLIN, KEGG, PubChem, Cyc, MassBank

Putative identities of metabolites\n responsible for differences between classes

Further MS to confirm IDs\n targeted, tandem or NMR

Pathway analysis, enrichment analysis

Stage 8 - Data archiving and reporting

Prepare data for\n submission to repository

Submit data to MetaboLights

Remember to cite tools used