Summary of Study ST002911

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001811. The data can be accessed directly via it's Project DOI: 10.21228/M8MQ7C This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002911
Study TitleLiLA: Lipid Lung-based ATLAS built Through a Comprehensive Workflow Designed for an Accurate Lipid Annotation
Study SummaryAccurate lipid annotation is crucial for understanding the role of lipids in health and disease and identifying therapeutic targets. However, annotating the wide variety of lipid species in biological samples remains challenging in untargeted lipidomic studies. In this work, we present an optimized lipid annotation workflow based on the combination of LC-MS and MS/MS strategies, four bioinformatic tools, and a decision-tree-based approach to support the accurate annotation and semi-quantification of the lipid species present in lung tissue from control mice. The developed workflow allowed us to generate a lipid lung-based ATLAS (LiLA), which was then employed to unveil the lipidomic signatures of the Mycobacterium tuberculosis (Mtb) infection at two different time points for a deeper understanding of the disease progression. This workflow, combined with manual inspection strategies of MS/MS data, can enhance the annotation process for lipidomic studies and guide the generation of sample-specific lipidome maps. LiLA serves as a freely available data resource that can be employed in future studies to address lipidomic alterations in mice lung tissue.
Institute
Universidad CEU San Pablo
DepartmentCentro de MEtabolómica y Bioanálisis (CEMBIO)
Last NameGonzález
First NameCarolina
Addresskm 0, Universidad CEU-San Pablo Urbanización Montepríncipe. M-501
Emailcarolina.gonzalezriano@ceu.es
Phone646251045
Submit Date2023-10-02
Raw Data AvailableYes
Raw Data File Type(s)mzXML
Analysis Type DetailLC-MS
Release Date2023-10-20
Release Version1
Carolina González Carolina González
https://dx.doi.org/10.21228/M8MQ7C
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)

mb_sample_id local_sample_id Factor
SA31630312_UT212-weeks infection
SA31630412_UT412-weeks infection
SA31630512_UT512-weeks infection
SA31630612_UT112-weeks infection
SA31630712_UT312-weeks infection
SA3163081_UT64-weeks infection
SA3163091_UT24-weeks infection
SA3163101_UT34-weeks infection
SA3163111_UT44-weeks infection
SA3163121_UT54-weeks infection
SA3163131_UT14-weeks infection
SA3163141_UI6control
SA3163151_UI5control
SA3163161_UI1control
SA3163171_UI2control
SA3163181_UI3control
SA3163191_UI4control
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