OMIX016095

1Summary
Title Untargeted metabolomics analysis of mouse serum based on LC-MS/MS
Description This dataset contains untargeted metabolomics data generated from mouse serum samples using LC-MS/MS. A total of 12 biological samples were analyzed, including Ctrl and Gi groups. Metabolite extraction, LC-MS/MS detection, metabolite identification and quantification, quality control, differential metabolite analysis, and KEGG pathway analysis were performed. In total, 494 metabolites were identified in positive ion mode and 363 metabolites were identified in negative ion mode.
Organism Mus musculus
Data Type Metabolome Data by Mass Spectrometry (MS)
Data Accessibility Open-access
BioProject PRJCA061659
Release Date 2026-06-05
Submitter Wei Zhang (weizhang0812@163.com)
Organization The Second Affiliated Hospital of Zhejiang University School of Medicine
Submission Date 2026-04-07
2Files & Download

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File ID File Title Number/Samples File Type File Size File Suffix Download
OMIX016095-01 Raw LC-MS/MS files for mouse serum untargeted metabolomics 12 Metabolome Data by Mass Spectrometry (MS) 4.02 GB zip
3Relevant Publications
Paper Title Journal Name Publish Time Accession Citing Type
A circuit linking dentate gyrus and retrosplenial granular cortex regulates fracture healing in male mice Nature Communications 2026-07 OMIX016095 Deposit

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