Li Yunxia Y - OmicsDI

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Proteomics (4)
Unknown (1)
Metabolomics (1)

Organisms

Mus musculus (3)
Homo sapiens (2)
Saccharomyces cerevisiae S288C (1)

Repository

iProX (4)
MetaboLights (1)

Technology Type

Mass spectrometry (1)

Instrument Platform

Liquid Chromatography MS - negative - hilic (1)
Liquid Chromatography MS - positive - hilic (1)

Publication Date

2025 (1)
2022 (1)
2021 (1)
2019 (1)
2024 (1)

Metabolite Name

(-)-(E)-1-(4-Hydroxyphenyl)-7-phenyl-6-hepten-3-ol (1)
(10)-Gingerol (1)
(10E,12Z)-(9S)-9-Hydroperoxyoctadeca-10,12-dienoic acid (1)
(10E,12Z)-9-HODE (1)
(15a,20R)-Dihydroxypregn-4-en-3-one 20-[glucosyl-(1->4)-6-acetyl-glucoside] (1)
(1S,2R,4R)-p-Menth-8-ene-2,10-diol 2-glucoside (1)
(2'E,4'Z,8E)-Colneleic acid (1)
(2R,3R,4R)-2-Amino-4-hydroxy-3-methylpentanoic acid (1)
(2S,2'S)-Pyrosaccharopine (1)
(3'alpha,5'alpha,9'xi,10'beta)-O-(3-Hydroxy-7-drimen-11-yl)umbelliferone (1)
(3R, 6'Z)-3,4-Dihydro-8-hydroxy-3-(6-pentadecenyl)-1H-2-benzopyran-1-one (1)
(3R,7R)-1,3,7-Octanetriol (1)
(3R,8E)-3-Hydroxy-5,8-megastigmadien-7-one (1)
(3S,3'R,5R,6R)-7',8'-Didehydro-3,6-epoxy-5,6-dihydro-beta,beta-carotene-3',5-diol (1)
(3S,5R,6R,7E)-3,5,6-Trihydroxy-7-megastigmen-9-one (1)
(3b,5a,22E,24S)-Stigmasta-7,22,25-trien-3-ol 3-glucoside (1)
(3beta,23E)-3-Hydroxy-27-norcycloart-23-en-25-one (1)
(3beta,5alpha,6beta,7alpha,22E,24R)-Ergosta-8,22-diene-3,5,6,7-tetrol (1)
(3beta,5alpha,6beta,9alpha,22E,24R)-23-Methylergosta-7,22-diene-3,5,6,9-tetrol (1)
(3xi,6E)-1,7-Diphenyl-6-hepten-3-ol (1)
(5alpha,8beta,9beta)-5,9-Epoxy-3,6-megastigmadien-8-ol (1)
(8E,15E)-1,8,15-Heptadecatriene-11,13-diyne (1)
(9S,10E,12Z,15Z)-9-Hydroxy-10,12,15-octadecatrienoic acid (1)
(9S,10S)-9,10-dihydroxyoctadecanoate (1)
(9xi,10xi,12xi)-9,10-Dihydroxy-12-octadecenoic acid (1)
(?¡À)-2-(1-Methylpropyl)-4,6-dinitrophenol (1)
(?¡À)-2-Methylthiazolidine (1)
(?¡À)-Metalaxyl (1)
(E)-1-[4-Hydroxy-3-(3-methyl-1,3-butadienyl)phenyl]-2-(3,5-dihydroxyphenyl)ethylene (1)
(E)-10-Oxo-8-decenoic acid (1)

Release Date

2019 (1)

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Integrative of Single-Cell RNA Sequencing and Metabolomics Decipher the Imbalanced Lipid-Metabolism in Maladaptive Immune Responses during Sepsis

To identify differentially expressed lipid metabolism-related genes (DE-LMRGs) responsible for immune dysfunction in sepsis. Machine learning algorithms were applied for screening hubgenes related to lipid metabolism. CIBERSORT and Single-sample GSEA were employed for assessing the immune cell infil...

2024-09-26 | MTBLS7315 | MetaboLights

Generation of Human PSC-Derived Kidney Organoids with Patterned Nephron Segments and a De Novo Vascular Network.

Not available

S-EPMC6731150 | biostudies-literature

Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics

This repository is related to the work "Benchmarking commonly usedsoftware suites and analysis workflows for DIA proteomics and phosphoproteomics". The following files are stored here: 1. four MS datasets generated in this work, including two two-species benchmark datasets acquired on QE HF and tims...

ORGANISM(S): Homo Sapiens Saccharomyces Cerevisiae S288c Mus Musculus

2022-12-08 | PXD034709 |

Mouse brain tissue proteomics-Shui group

DIA and PRM raw data of mouse brain tissues. R1: Cerebellum, R2: Midbrain, R3: Spinal cord

ORGANISM(S): Mus Musculus

2019-11-26 | PXD016441 |

Mass Spectrometry-based Profiling of GALNT1-associated Protein Complexes Isolated via Co-Immunoprecipitation

This project identifies GALNT1-interacting proteins in primary fibroblast-like synoviocytes (RASFs) derived from rheumatoid arthritis patients using co-immunoprecipitation (co-IP) coupled with mass spectrometry (MS). Briefly, RASF lysates were incubated with anti-GALNT1 antibody to capture GALNT1-a...

ORGANISM(S): Homo Sapiens

2025-12-08 | PXD071709 |

Multiregional profiling of the brain transmembrane proteome uncovers novel regulators of depression

Our study provides an enabling technology and rich data resources to expand the understanding of transmembrane proteome organization and dynamics in the brain as well as accelerate the discovery of potential therapeutic targets for depression treatment.