OMIX017401

1Summary
Title Serum metabolomic signatures associated with gastric signet-ring cell carcinoma: A dual-platform mass spectrometry study
Description For LC-MS data, raw data were processed using Progenesis QI v3.0 for baseline filtering, peak detection, integration, retention time correction, alignment, and normalization, and metabolite annotation was performed using the Human Metabolome Database, Lipidmaps, METLIN database, and the in-house LuMet-Animal 3.0 LC-MS database.For GC-MS data, raw data were processed using MS-DIAL v4.24 for peak detection, deconvolution, identification, alignment, filtering, and missing value imputation, and metabolite identification was based on retention time, fragmentation mass spectra, and similarity matching against the in-house LuMet-GC 5.0 database.
Organism Homo sapiens
Data Type Metabolome Data by Mass Spectrometry (MS)
Data Accessibility Open-access
BioProject PRJCA065786
Release Date 2026-06-17
Submitter Huiling Cao (yssjsch@163.com)
Organization Jiangsu Province Hospital of Chinese Medicine
Submission Date 2026-06-03
2Files & Download

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File ID File Title Number/Samples File Type File Size File Suffix Download
OMIX017401-01 LCMS-neg 18 Metabolome Data by Mass Spectrometry (MS) 3.57 GB tar
OMIX017401-02 LCMS-pos 18 Metabolome Data by Mass Spectrometry (MS) 3.43 GB tar
OMIX017401-03 GCMS 18 Metabolome Data by Mass Spectrometry (MS) 78.13 MB tar
3Relevant Publications
Paper Title Journal Name Publish Time Accession Citing Type
Serum metabolomic signatures associated with gastric signet‑ring cell carcinoma: A dual‑platform mass spectrometry study Oncology Letters 2026-10 OMIX017401 Deposit

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