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1.
Cell Death Dis ; 12(7): 636, 2021 06 21.
Article in English | MEDLINE | ID: mdl-34155195

ABSTRACT

Extracellular vesicles (EVs) and their cargo represent an intriguing source of cancer biomarkers for developing robust and sensitive molecular tests by liquid biopsy. Prostate cancer (PCa) is still one of the most frequent and deadly tumor in men and analysis of EVs from biological fluids of PCa patients has proven the feasibility and the unprecedented potential of such an approach. Here, we exploited an antibody-based proteomic technology, i.e. the Reverse-Phase Protein microArrays (RPPA), to measure key antigens and activated signaling in EVs isolated from sera of PCa patients. Notably, we found tumor-specific protein profiles associated with clinical settings as well as candidate markers for EV-based tumor diagnosis. Among others, PD-L1, ERG, Integrin-ß5, Survivin, TGF-ß, phosphorylated-TSC2 as well as partners of the MAP-kinase and mTOR pathways emerged as differentially expressed endpoints in tumor-derived EVs. In addition, the retrospective analysis of EVs from a 15-year follow-up cohort generated a protein signature with prognostic significance. Our results confirm that serum-derived EV cargo may be exploited to improve the current diagnostic procedures while providing potential prognostic and predictive information. The approach proposed here has been already applied to tumor entities other than PCa, thus proving its value in translational medicine and paving the way to innovative, clinically meaningful tools.


Subject(s)
Biomarkers, Tumor/blood , Extracellular Vesicles/metabolism , Neoplasm Proteins/blood , Prostatic Neoplasms/blood , Proteome , Proteomics , Adult , Aged , Cell Line, Tumor , Extracellular Vesicles/ultrastructure , Humans , Male , Middle Aged , Predictive Value of Tests , Prostatic Neoplasms/ultrastructure , Protein Array Analysis , Reproducibility of Results , Retrospective Studies
2.
Mol Cell Proteomics ; 17(5): 993-1009, 2018 05.
Article in English | MEDLINE | ID: mdl-29217617

ABSTRACT

Coimmunoprecipitation (co-IP) is one of the most frequently used techniques to study protein-protein (PPIs) or protein-nucleic acid interactions (PNIs). However, the presence of coprecipitated contaminants is a well-recognized issue associated with single-step co-IPs. To overcome this limitation, we developed the two-step co-IP (TIP) strategy that enables sequential coimmunoprecipitations of endogenous protein complexes. TIP can be performed with a broad range of mono- and polyclonal antibodies targeting a single protein or different components of a given complex. TIP results in a highly selective enrichment of protein complexes and thus outperforms single-step co-IPs for downstream applications such as mass spectrometry for the identification of PPIs and quantitative PCR for the analysis of PNIs. We benchmarked TIP for the identification of CD95/FAS-interacting proteins in primary human CD4+ T cells, which recapitulated all major known interactors, but also enabled the proteomics discovery of PPM1G and IPO7 as new interaction partners. For its feasibility and high performance, we propose TIP as an advanced tool for the isolation of highly purified protein-protein and protein-nucleic acid complexes under native expression conditions.


Subject(s)
Immunoprecipitation/methods , Multiprotein Complexes/isolation & purification , Amino Acid Sequence , Antibodies, Monoclonal/metabolism , Apoptosis , Biotinylation , CD4-Positive T-Lymphocytes/metabolism , Cell Line , Chromatin Immunoprecipitation , Gene Knockdown Techniques , Humans , Karyopherins/metabolism , Multiprotein Complexes/chemistry , Multiprotein Complexes/metabolism , Protein Binding , Protein Phosphatase 2C/metabolism , Proteomics , Receptors, Cytoplasmic and Nuclear/metabolism , Reproducibility of Results , fas Receptor/metabolism
3.
Cell Stem Cell ; 21(1): 35-50.e9, 2017 07 06.
Article in English | MEDLINE | ID: mdl-28602620

ABSTRACT

Functionally relevant markers of glioblastoma stem-like cells (GSCs) have potential for therapeutic targeting to treat this aggressive disease. Here we used generation and screening of thousands of monoclonal antibodies to search for receptors and signaling pathways preferentially enriched in GSCs. We identified integrin α7 (ITGA7) as a major laminin receptor in GSCs and in primary high-grade glioma specimens. Analyses of mRNA profiles in comprehensive datasets revealed that high ITGA7 expression negatively correlated with survival of patients with both low- and high-grade glioma. In vitro and in vivo analyses showed that ITGA7 plays a key functional role in growth and invasiveness of GSCs. We also found that targeting of ITGA7 by RNAi or blocking mAbs impaired laminin-induced signaling, and it led to a significant delay in tumor engraftment plus a strong reduction in tumor size and invasion. Our data, therefore, highlight ITGA7 as a glioblastoma biomarker and candidate therapeutic target.


Subject(s)
Antibodies, Monoclonal, Murine-Derived/pharmacology , Antibodies, Neoplasm/pharmacology , Biomarkers, Tumor/antagonists & inhibitors , Glioblastoma/drug therapy , Integrin alpha Chains/antagonists & inhibitors , Neoplasm Proteins/antagonists & inhibitors , Animals , Antigens, CD/metabolism , Biomarkers, Tumor/metabolism , Drug Delivery Systems , Gene Expression Regulation/drug effects , Glioblastoma/metabolism , Glioblastoma/pathology , HeLa Cells , Humans , Integrin alpha Chains/metabolism , Mice , Mice, Inbred NOD , Mice, SCID , Neoplasm Proteins/metabolism , Xenograft Model Antitumor Assays
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