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단백체 데이터
-
  • Accession
    KPX10000276
  • Submission date
    2026-08-07
  • Metadata export
    XML Download
Project Detail
Dataset detail - Dataset Tilte, Species, Sample type, Disease, Offline, SCX, 16 fractions, Trypsin, Quantification, Modifications, Experiment type, MS instrument, Experimental protocol, Data analysis protocol
BioProject
 KAP242491
ProjectTitle
 Time-Dependent Multi-Omics Integration Maps Ferroptosis as an Early Driver of Sepsis-Associated Acute Kidney Injury
Description
 Time-dependent multi-omics integration (TDMI) is a strategy that enables the effective exploration of the mechanisms underlying rapidly progressing diseases through single-omics analyses based on the central dogma. Sepsis-associated acute kidney injury (SA-AKI) is a rapid progressive, severe, and life-threatening complication of sepsis; however, its early-stage molecular pathogenesis remains insufficiently characterized. In this study, an in vivo multi omics strategy with multiple time points was employed to elucidate the toxic mechanisms underlying SA-AKI. After cecal ligation and puncture (CLP), samples were collected for phosphoproteomic (4 h post-CLP), transcriptomic (8 h), proteomic (12 h), and metabolomic/lipidomic (24 h) analyses to sequentially capture the molecular events during sepsis progression. Differentially expressed molecules from each omics layer were then integrated using xMWAS and Reactome to enable network-level characterization of the underlying mechanisms. Integrative TDMI analysis implicated ferroptosis as a key mechanism contributing to SA-AKI progression. The involvement of ferroptosis was further supported by both in vitro and in vivo validation experiments using ferrostatin-1, a pharmacological inhibitor of ferroptosis. Collectively, these findings demonstrate that TDMI can provide mechanistic insights into the dynamic molecular interactions underlying SA-AKI and highlight ferroptosis as a potential therapeutic target in this multifactorial disease process.
Keywords
  
Submitter
 Lee Sang kyu , Sungkyunkwan University
Publication
Publication
PubMed ID DOI
   
Dataset Detail
Dataset detail - Description, Keywords, Principal investigato, Pubmed ID, Doi, Dataset Tilte, Species, Sample type, Disease, Offline, SCX, 16 fractions, Trypsin, Quantification, Modifications, Experiment type, MS instrument, Experimental protocol, Data analysis protocol
Dataset Title
 Sample 1
Submission Type
Species
 Mus musculus (Mouse)
Sample type
Sample type
Body fluid Tissue Cell Others
kidney
Disease
Disease
Others - sepsis
Fractionation
Fractionation
Method Separation mode Number of fractions
Not applicable
Not applicable
Digestion
 Trypsin, Trypsin
Quantification
Quantification
Labeling Labeling Child Plex
Isobaric labeling(TMT) TMT
Isobaric labeling(18O) 18O
Modifications
Carbamidomethyl (C)
Modifications
Bottom-up proteomics, Bottom-up proteomics
MS instrument
Thermo Scientific Q Exactive HF-X, Thermo Scientific Q Exactive HF-X
Sample processing protocol
Data analysis protocol
Search parameters
Supplementary information
 
Announce Date
 2026-07-31
Files Summary

Total 106 files 115,645,046,112 115,645,046,112

Files Summary
File type # Files Total Size
raw 96 115,626,382,374 115,626,382,374
searchResultFile 10 18,663,738 18,663,738
File
file 목록
File Name Size Type Published Download mzMl QC file
20230117_S-AKI_TMT_500ng_2hr_F1-1--4.raw 1,939,971,225 1,939,971,225 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-1--6.raw 1,859,044,660 1,859,044,660 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-1--8.raw 1,889,868,845 1,889,868,845 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-1-1.raw 2,222,634,227 2,222,634,227 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-1-2.raw 2,210,371,355 2,210,371,355 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-1-3.raw 2,075,746,536 2,075,746,536 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-1-5.raw 1,896,459,045 1,896,459,045 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-1-7.raw 2,010,236,170 2,010,236,170 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-2--2.raw 2,157,992,633 2,157,992,633 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-2--3.raw 1,982,365,202 1,982,365,202 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-2-1.raw 2,104,302,936 2,104,302,936 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-2-4.raw 1,855,874,765 1,855,874,765 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-2-5.raw 1,902,921,741 1,902,921,741 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-2-6.raw 1,872,982,598 1,872,982,598 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-2-7.raw 1,978,805,376 1,978,805,376 raw 2026-07-31
20230117_S-AKI_TMT_500ng_2hr_F1-2-8.raw 1,839,238,022 1,839,238,022 raw 2026-07-31
20230207_S-AKI_18O_TiO2_new_set1-1.mzML 1,010,751,516 1,010,751,516 mzML 2026-07-31
20230207_S-AKI_18O_TiO2_new_set1-1.mzML 1,010,751,516 1,010,751,516 mzML 2026-07-31
20230207_S-AKI_18O_TiO2_new_set1-2.mzML 1,042,848,686 1,042,848,686 mzML 2026-07-31
20230207_S-AKI_18O_TiO2_new_set1-2.mzML 1,042,848,686 1,042,848,686 mzML 2026-07-31
20230207_S-AKI_18O_TiO2_new_set2-1.mzML 1,028,762,280 1,028,762,280 mzML 2026-07-31
20230207_S-AKI_18O_TiO2_new_set2-1.mzML 1,028,762,280 1,028,762,280 mzML 2026-07-31
20230207_S-AKI_18O_TiO2_new_set2-2.mzML 1,063,637,770 1,063,637,770 mzML 2026-07-31
20230207_S-AKI_18O_TiO2_new_set2-2.mzML 1,063,637,770 1,063,637,770 mzML 2026-07-31
Phospho (STY)Sites_S-AKI_new_V8_Final.xlsx 709,018 709,018 xlsx 2026-07-31
Phospho (STY)Sites_S-AKI_new_V8_Final.xlsx 709,018 709,018 xlsx 2026-07-31
TMT_proteinGroups_V10_normalization_Final.xlsx 6,495,797 6,495,797 xlsx 2026-07-31