PXD010148 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Integrative genomics reveal a role for MCPIP1 in adipogenesis and adipocyte metabolism |
Description | Obesity is considered a serious chronic disease, which is associated with increased risk of developing cardiovascular diseases, non-alcoholic fatty liver disease and type 2 diabetes. Monocyte chemoattractant protein-1-induced protein-1 (MCPIP1), also called Regnase-1, is an RNase that decreases stability of transcripts coding for inflammation-related proteins. In addition, MCPIP1 plays an important role in the regulation of adipogenesis in vitro by reducing the expression of key transcription factors, including C/EBPβ and PPARγ, during adipocyte differentiation. Here we present RNA-Seq and proteomic analysis of 3T3-L1 adipocytes overexpressing wild-type MCPIP1 (WTMCPIP1) and mutant MCPIP1 (D141NMCPIP1) at day 2 and 4 of differentiation, respectively. RNA-Seq analysis followed by confirmatory Q-RT-PCR revealed that elevated MCPIP1 levels in 3T3-L1 adipocytes upregulated transcripts encoding proteins involved in signal transmission and cellular remodeling and downregulated transcripts of factors involved in metabolism. These data are consistent with our LC-MS/MS analysis, which showed that MCPIP1 expressing adipocytes exhibit upregulation of proteins involved in cellular organization and movement and decreased levels of proteins involved in lipid and carbohydrate metabolism. Moreover, MCPIP1 adipocytes are characterized by decreased Glut4 levels and impaired glucose uptake. Overall, our findings demonstrate that MCPIP1 is an important regulator of adipogenesis and adipocyte metabolism. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_04:45:37.460.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Urszula Jankowska |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
ModificationList | monohydroxylated residue; iodoacetamide derivatized residue |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2018-06-18 02:15:05 | ID requested | |
1 | 2020-01-07 08:53:13 | announced | |
⏵ 2 | 2024-10-22 04:45:38 | announced | 2024-10-22: Updated project metadata. |
Publication List
Losko M, Dolicka D, Pydyn N, Jankowska U, Kedracka-Krok S, Kulecka M, Paziewska A, Mikula M, Major P, Winiarski M, Budzynski A, Jura J, Integrative genomics reveal a role for MCPIP1 in adipogenesis and adipocyte metabolism. Cell Mol Life Sci, 77(23):4899-4919(2020) [pubmed] |
10.1007/s00018-019-03434-5; |
Keyword List
curator keyword: Biomedical |
submitter keyword: adipogenesis, adipocytes,MCPIP1, LC-MS/MS |
Contact List
Sylwia Kędracka-Krok |
contact affiliation | Department of Physical Biochemistry, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland Proteomics and Mass Spectrometry Laboratory, Malopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland |
contact email | sylwia.kedracka-krok@uj.edu.pl |
lab head | |
Urszula Jankowska |
contact affiliation | Proteomics and Mass Spectrometry Core Facility, Malopolska Centre of Biotechnology, Jagiellonian University |
contact email | urszula.jankowska@uj.edu.pl |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2020/01/PXD010148 |
PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD010148
- Label: PRIDE project
- Name: Integrative genomics reveal a role for MCPIP1 in adipogenesis and adipocyte metabolism