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    BAF_Protocol_013_Lipidomics: Database Search MS-DIAL and Analysis using Metaboanalyst 6.0

    Nicholas Sherman

    Published: 2024-06-24 DOI: 10.17504/protocols.io.ewov192jklr2/v1
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    Abstract

    These steps represent a starting point for analysis of lipidomics data. Other data analysis and/or packages may be used.

    Steps

    MS-DIAL V 4.9.221218 starting

    1.

    Thermo RAW files are organized in two folders - one for all positive mode raw files and another for all negative mode raw files. These files will be loaded into MS-DIAL in two separate searches. Download MSP library files for Positive and Negative mode and save them in a folder in the computer you are using to perform the searches.

    2.

    Open MS-DIAL

    3.

    Click File -> New project

    4.

    Project file path: Browse the folder with Positive or Negative raw files

    Ionization type: Soft ionization (LC-MSMS)

    Separation type: Chromatography (LC)

    MS method type: Conventional LC/MS or data dependent MS/MS

    Data type: MS1 Profile, MS/MS Centroid

    Ion mode: Positive or Negative

    Target omics: Lipidomics

    Click "Next"

    5.

    Analysis file path: browse to the folder with raw files, select all the apply for the search. Should include at least 3 blanks and 3 QC runs.

    Choose the file type for each sample (Blank, QC, sample)

    Class ID - add short group names for each replicate without adding numbers among replicates.

    Analysis parameter setting - keep default if not mentioned in this section

    6.

    Data collection tab

    Mass accuracy: MS1 tolerance 0.01 Da,

    MS2 tolerance 0.025 Da

    • Advanced:

    Data collection parameters: retention time begin 0 min, retention time end 33 min, MS1 range begin 150 Da, MS1 range end 2000 Da, MSMS range begin 150 Da, MSMS range end 2000 Da, Isotope recognition: max charge number 2.

    7.

    Peak Detection tab

    Peak detection parameters: minimum peak height 10000 amplitude, mass slice 0.1 Da

    • Advanced:

    Smoothing method: linear weighted moving average

    Smoothing level: 3 scan

    Minimum peak width: 5 scan

    8.

    MS2Dec tab

    Deconvolution parameters: sigma window value 0.5,

    MS2 abundance cut off 10 amplitude.

    • Advanced:

    Check Exclude after precursor ion Keep the isotope ions until 0.5 Da

    Check Keep the isotopic ions w/o MS2Dec

    9.

    Identification tab

    MSP file and MS/MS identification setting: the library will be loaded automatically

    Retention time tolerance: 100 min,

    Accurate mass tolerance (MS1) 0.01 Da,

    Accurate mass tolerance MS/MS 0.05,

    Identification score cut off 80%.

    10.

    Adduct tab

    For positive mode acquisition:

    Check [M+H]+

    Check [M+NH4]+

    For negative mode acquisition:

    Check [M-H]-

    Check [M-H2O-H]-

    11.

    Alignment tab

    Alignment parameters settings: Under result name add a name for the alignment file, reference file choose one of the QC runs, retention time tolerance 0.05 min, MS1 tolerance 0.015 Da

    • Advanced:

    Check remove feature based on blank information

    Check keep "reference matched" metabolite features

    Check keep ''suggested (w/o MS2)" metabolite features

    Check keep removable features and assign the tag

    Check Gap filling by compulsion

    12.

    At the bottom

    Check together with Alignment

    Click "Finish" --> processing will start.

    Once the search is finished, click on the name of the file that is showing at the Alignment Navigator

    Click Export - Alignment result, choose a folder to save the file, check remove features from blank, and export.

    Data can be loaded into Excel/R or any other software environment for further data analysis.

    13.

    Data Analysis:

    load data into Excel, filter out: m/z match FALSE and identifications named w/o MS2.

    Combine positive and negative identifications

    Summarize the data by lipid name (ex: using R), save as txt file.

    Load the summarized into R or the online MetaboAnalyst 6.0 tool.

    14.

    MetaboAnalyst 6.0 --> statistical analysis

    Upload .txt data as peak intensities (check file format), no data filtering,

    Sample normalization: normalization by median,

    Data transformation: Log transformation (base 10), no Data Scaling.

    At this point there are distinct analyses that can be done, our core provides the following as a first-step analysis:

    Chemometrics analysis: PCA, PLS-DA with importance measures using VIP.

    Univariate analysis: fold change and t-test -> volcano plot (two groups comparisons).

    Clustering analysis: heatmap.

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