PXD008825 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | SILAC-based quantitative proteomic analysis of the livers of spontaneous obese and diabetic rhesus monkeys |
Description | Type 2 diabetes mellitus (TM) is a severely metabolic disorder that affects above 10% worldwide population. Obesity is a major cause of insulin resistance and contributes to the development of TM. Liver is an essential metabolic organ that plays crucial roles in the pathogenesis of obesity and diabetes. However, the underlying mechanisms of liver in the transition of obesity to diabetes are not fully understood. Nonhuman primate (NHP) rhesus monkey is an appropriate animal for research of human diseases. Here, we first screened and selected three individual spontaneous and diabetic rhesus monkeys. Interestingly, the diabetic monkeys were obese with high BMI at beginning, but gradually lost their body weight during one-year observation. Furthermore, we performed a SILAC-based quantitative proteomics to identify proteins and signaling pathways with altered expression in the liver of obese and diabetic monkeys. Totally, 3509 proteins were identified and quantified, and of which 185 proteins displayed altered expression level. GO analysis revealed that the expression of proteins involved in fatty acids β-oxidation and galactose metabolism was increased in obese monkeys; while proteins involved in oxidative phosphorylation (OXPHOS) and branched chain amino acid (BCAA) degradation was upregulated in diabetic monkeys. In addition, we observed a mild impaired mitophagy and apoptosis in the liver of diabetic monkeys, suggesting a dysfunction of mitochondria and liver injury in the late onset of diabetics. Taken together, our liver proteomics may reveal a distinct metabolic transition from fatty acids β-oxidation in obese monkey to BCAA degradation in diabetic monkeys. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_04:00:55.420.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Jing Gao |
SpeciesList | scientific name: Macaca mulatta (Rhesus macaque); NCBI TaxID: 9544; |
ModificationList | No PTMs are included in the dataset |
Instrument | LTQ Orbitrap Elite |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2018-01-31 10:41:48 | ID requested | |
1 | 2019-08-26 01:57:39 | announced | |
⏵ 2 | 2024-10-22 04:00:56 | announced | 2024-10-22: Updated project metadata. |
Publication List
10.1152/ajpendo.00016.2018; |
Wang J, Xu S, Gao J, Zhang L, Zhang Z, Yang W, Li Y, Liao S, Zhou H, Liu P, Liang B, SILAC-based quantitative proteomic analysis of the livers of spontaneous obese and diabetic rhesus monkeys. Am J Physiol Endocrinol Metab, 315(2):E294-E306(2018) [pubmed] |
Keyword List
curator keyword: Biological, Biomedical |
submitter keyword: Spontaneous type 2 diabetes |
liver |
rhesus monkey |
SILAC-based quantitative proteomics. |
Contact List
Zhou Hu |
contact affiliation | Department of Analytical Chemistry and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China |
contact email | zhouhu@simm.ac.cn |
lab head | |
Jing Gao |
contact affiliation | Shanghai Institute of Materia Medica, Chinese Academy of Science |
contact email | jinggao@simm.ac.cn |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD008825
- Label: PRIDE project
- Name: SILAC-based quantitative proteomic analysis of the livers of spontaneous obese and diabetic rhesus monkeys