Genetic and epigenetic factors affect RET gene expression in breast cancer cell lines and influence survival in patients.

Germline and somatic mutations play a crucial role in breast cancer (BC), driving the initiation, progression, response to therapy and outcome of the disease. Hormonal therapy is limited to patients with tumors expressing steroid hormone receptors, such as estrogen receptor (ER), nevertheless resistance often limits its success.The RET gene is known to be involved in neurocristopathies such as Hirschsprung disease and Multiple Endocrine Neoplasia type 2, in the presence of loss-of-function and gain-of-function mutations, respectively.

In silico prediction of physical protein interactions and characterization of interactome orphans.

Protein-protein interactions (PPIs) are useful for understanding signaling cascades, predicting protein function, associating proteins with disease and fathoming drug mechanism of action. Currently, only ∼ 10% of human PPIs may be known, and about one-third of human proteins have no known interactions. We introduce FpClass, a data mining-based method for proteome-wide PPI prediction.

In vitro and in silico studies of MDM2/MDMX isoforms predict Nutlin-3A sensitivity in well/de-differentiated liposarcomas.

The molecular marker of well-differentiated/de-differentiated liposarcomas is MDM2 gene amplification coupled with protein overexpression and wild-type TP53. MDMX is a recently identified MDM2 homolog and its presence in this tumor is unexplored. Our aim was to investigate the role of full-length MDM2 and MDMX proteins and their isoforms in surgical specimens of well-differentiated/de-differentiated liposarcomas in view of Nutlin-3A (a MDM2 inhibitor) treatment.

Identification and characterization of new molecular partners for the protein arginine methyltransferase 6 (PRMT6).

PRMT6 is a protein arginine methyltransferase that has been implicated in transcriptional regulation, DNA repair, and human immunodeficiency virus pathogenesis. Only few substrates of this enzyme are known and therefore its cellular role is not well understood. To identify in an unbiased manner substrates and potential regulators of PRMT6 we have used a yeast two-hybrid approach.

HMGA molecular network: From transcriptional regulation to chromatin remodeling.

Nuclear functions rely on the activity of a plethora of factors which mostly work in highly coordinated molecular networks. The HMGA proteins are chromatin architectural factors which constitute critical hubs in these networks. HMGA are referred to as oncofetal proteins since they are highly expressed and play essential functions both during embryonic development and neoplastic transformation.

Macroscopic differences in HMGA oncoproteins post-translational modifications: C-terminal phosphorylation of HMGA2 affects its DNA binding properties.

HMGA is a family of nuclear proteins involved in a huge number of functions at the chromatin level. It consists of three members, HMGA1a, HMGA1b, and HMGA2, having high sequence homology and sharing the same structural organization (three highly conserved DNA-binding domains, an acidic C-terminal tail, and a protein-protein interaction domain). They are considered important nodes in the chromatin context, establishing a complex network of interactions with both promoter/enhancer sequences and nuclear factors.

Interaction proteomics of the HMGA chromatin architectural factors.

The high mobility group A (HMGA) chromatin architectural transcription factors are a group of proteins involved in development and neoplastic transformation. They take part in an articulated interaction network, both with DNA and other nuclear proteins, organizing multimolecular complexes at chromatin level. Here, we report the development of a novel in vitro strategy for the identification of HMGA molecular partners based on the combination of an RP-HPLC prefractionation procedure, 2-DE gels, blot-overlay and MS.