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PXD020802

PXD020802 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomic profile of MFF overexpression in MCF7 cells
DescriptionElevated mitochondrial biogenesis and metabolism represent key features of breast cancer stem cells (CSCs), whose propagation is conducive to disease onset and progression. Therefore, interfering with mitochondria biology and function may be regarded as a useful approach to eradicate CSCs. Here, we used the breast cancer cell line MCF7 as a model system to interrogate how mitochondrial fission contributes to the development of mitochondrial dysfunction toward the inhibition of metabolic flux and stemness. We generated an isogenic MCF-7 cell line transduced with Mitochondrial Fission Factor (MCF7-MFF), which is primarily involved in mitochondrial fission. We evaluated the biochemical, molecular and functional properties of MCF7-MFF cells, as compared to control MCF7 cells transduced with the empty vector (MCF7-Control). We observed that MFF over-expression reduces both mitochondrial mass and activity, as evaluated using the mitochondrial probes MitroTracker Red and MitoTracker Orange, respectively. The analysis of metabolic flux using the Seahorse XFe96 revealed the inhibition of OXPHOS and glycolysis in MCF7-MFF cells, suggesting that increased mitochondrial fission may impair the biochemical properties of these organelles. Notably, CSCs activity, assessed by 3D-tumorsphere assays, was reduced in MCF7-MFF cells. A similar trend was observed for the activity of ALDH, a well-established marker of stemness. We conclude that enhanced mitochondrial fission may compromise CSCs propagation, through the impairment of mitochondrial function, possibly leading to a quiescent cell phenotype. Unbiased proteomic analysis revealed that proteins involved in mitochondrial dysfunction, oxidative stress-response, fatty acid metabolism and hypoxia signaling are among the most highly up-regulated in MCF7-MFF cells. Of note, integrated analysis of top regulatory networks obtained from unbiased proteomics in MCF7-MFF cells predicts that this cell phenotype activates signaling systems and effectors involved in the inhibition of cell survival and adhesion, together with the activation of specific breast cancer cell death programs. Overall, our study shows that unbalanced and abnormal activation of mitochondrial fission may drive the impairment of mitochondrial metabolic function, leading to inhibition of CSC propagation, and the activation of quiescence programs. Exploiting the potential of mitochondria to control pivotal events in tumor biology may, therefore, represent a useful tool to prevent disease progression.
HostingRepositoryPRIDE
AnnounceDate2020-10-16
AnnouncementXMLSubmission_2020-10-16_00:29:33.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterRosa Sanchez-Alvarez
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentLTQ Orbitrap XL
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-08-08 15:43:53ID requested
12020-10-16 00:29:33announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: MCF7, breast cancer cells, proteomics
Contact List
Michael. P. Lisanti
contact affiliationTranslational Medicine, School of Science, Engineering and Environment (SEE), Biomedical Research Centre (BRC), University of Salford, Greater Manchester, M5 4WT, United Kingdom
contact emailmichael.p.lisanti@gmail.com
lab head
Rosa Sanchez-Alvarez
contact affiliationUniversity of Manchester
contact emailrosa.sanchez-alvarez@manchester.ac.uk
dataset submitter
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