PXD005229 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | The use of urinary proteomics in the assessment of suitability of mouse models for ageing. |
Description | Ageing is a complex process characterised by a systemic and progressive deterioration of biological functions. As ageing is associated with an increased prevalence of age-related chronic disorders, understanding its underlying molecular mechanisms can pave the way for therapeutic interventions and managing complications. Animal models such as mice are commonly used in ageing research as they have a shorter lifespan in comparison to humans and are also genetically close to humans. To assess the translatability of mouse ageing to human ageing, the urinary proteome in 89 wild-type (C57BL/6) mice aged between 8-96 weeks was investigated using capillary electrophoresis coupled to mass spectrometry (CE-MS). Using age as a continuous variable, 295 peptides significantly correlated with age in mice were identified. To investigate the relevance of using mouse models in human ageing studies, a comparison was performed with a previous correlation analysis using 1227 healthy subjects. In mice and humans, a decrease in urinary excretion of fibrillar collagens and an increase of uromodulin fragments was observed with advanced age. Of the 295 peptides correlating with age, 49 had a strong homology to the respective human age-related peptides. These ortholog peptides including several collagen (N= 44) and uromodulin (N= 5) fragments were used to generate an ageing classifier that was able to discriminate the age among both wild-type mice and healthy subjects. Additionally, the ageing classifier depicted that telomerase knock-out mice were older than their chronological age. Hence, with a focus on ortholog urinary peptides mouse ageing can be translated to human ageing. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_04:33:37.228.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Esther Nkuipou Kenfack |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
ModificationList | monohydroxylated residue |
Instrument | LTQ Orbitrap Velos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2016-10-27 00:02:25 | ID requested | |
1 | 2017-02-21 06:54:23 | announced | |
⏵ 2 | 2024-10-22 04:33:39 | announced | 2024-10-22: Updated project metadata. |
Publication List
Nkuipou-Kenfack E, Schanstra JP, Bajwa S, Pejchinovski M, Vinel C, Dray C, Valet P, Bascands JL, Vlahou A, Koeck T, Borries M, Busch H, Bechtel-Walz W, Huber TB, Rudolph KL, Pich A, Mischak H, Z, ü, rbig P, The use of urinary proteomics in the assessment of suitability of mouse models for ageing. PLoS One, 12(2):e0166875(2017) [pubmed] |
10.1371/journal.pone.0166875; |
Keyword List
submitter keyword: urine |
proteome analysis |
ageing |
animal models |
Contact List
Petra Zürbig |
contact affiliation | mosaiques diagnostics GmbH Rotenburger Str. 20 30659 Hannover Germany |
contact email | zuerbig@mosaiques-diagnostics.com |
lab head | |
Esther Nkuipou Kenfack |
contact affiliation | Mosaiques diagnostics GmbH |
contact email | nkuipou-kenfack@mosaiques.de |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD005229
- Label: PRIDE project
- Name: The use of urinary proteomics in the assessment of suitability of mouse models for ageing.