Jessica Brandi, Gloria Gatto, Federica Sotgia, Michael P Lisanti, Daniela Cecconi
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引用次数: 0
Abstract
Previously, we demonstrated that high levels of mitochondrial DNA (mtDNA) were functionally associated with "stemness" and aggressive phenotypic behaviors in human breast cancer cells, including spontaneous metastasis. More specifically, we showed that treatment with Alovudine induced mtDNA-depletion in MDA-MB-231 cells and prevented their ability to form colonies in vitro and metastasize in vivo. To better understand the underlying mechanism(s) and identify candidate mtDNA-dependent mitochondrial protein biomarkers relevant to metastatic breast cancer, Alovudine-treated MDA-MB-231 cells were subjected to proteomics analysis. For comparison purposes, mtDNA-depleted cells (MDA-MB-231 and MCF-7) were generated and also subjected to proteomics analysis. Intersection of these three distinct data sets revealed that a small number of proteins were commonly downregulated in mtDNA-depleted cells and Alovudine-treated cells. Remarkably, many of these nuclear-encoded mitochondrial genes (>20) exhibited recurrent genomic amplification across metastatic breast cancer cohorts. Therefore, the action of a single drug, namely Alovudine, was sufficient to effectively suppress the expression of a large number of mitochondrial proteins associated with i) gene amplification and ii) cancer cell metastasis, in human breast cancer patients. These findings may have important clinical implications for the development of new therapeutics targeting advanced breast cancer.
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes