Biomedical subjects

Guglielmo Lucchese

Publications and source records attributed to Guglielmo Lucchese.

4 recordsLinked to original sources

PubMed2004

Non-self-discrimination as a driving concept in the identification of an immunodominant HMW-MAA epitopic peptide sequence by autoantibodies from melanoma cancer patients.

We analyzed the sera of patients with melanoma to define the human humoral autoantibody profile towards HMW-MAA. Computational proteome scanning using the non-self-discrimination principle as a guide led to the individuation of the low-similarity HMW-MAA781-789RATVWMLRL peptide fragment as an immunodominant B-cell epitope. Linear B-cell determinant individuation was experimentally validated by dot blot immunoassay and NMR spectroscopy analysis. Regulation of physiologic self-reactivity by the non-self-discrimination principle is discussed.

Antigens, Neoplasm↗

PubMed2004

NMR probing of in silico identification of anti-HPV16 E7 mAb linear peptide epitope.

A proteomics-based approach was exploited in order to individuate peptide sequences having the immunogenic potential to evoke humoral response. The epitope search utilized two parameters: the similarity level of the peptide sequence to the host's proteins, and the peptide capability to bind to the major histocompatibility complex class II molecules. By this approach, the human papillomavirus 16 E7(49-63) RAHYNIVTFCCKCDS peptide was individuated as the immunogenic epitope recognized by an anti-HPV16 E7 monoclonal antibody raised against the full-length viral oncoprotein. In this report, two-dimensional nuclear magnetic resonance spectroscopic experiments unequivocally probe the HPV16 E7 epitope individuation.

Amino Acid Sequence↗

PubMed2004

Identification of monoclonal anti-HMW-MAA antibody linear peptide epitope by proteomic database mining.

An efficient strategy is presented for the identification of antigenic sequences in the context of given MHC molecules of interest. The proteomic analysis of the antigenic peptide repertoire is described and demonstrated by using high-molecular weight melanoma-associated antigen. The identification of the epitopic sequence of a monoclonal antibody raised against the 250 kDa tumor associated antigen was reached by using only seven short synthetic peptide fragments, instead of the 155 non-overlapping 15-mer peptides theoretically necessary as minimum screening library. The present result has been obtained by applying as driving criteria the analysis of the peptide affinity to MHC class II molecules and the non-self discrimination concept.

Amino Acid Sequence↗

PubMedDate not supplied

Clinical applications of DNA microarray analysis.

Microarray technology provides a revolutionary macro-genetic and bioinformatic-rich platform for understanding human diseases. DNA microarrays facilitate the study of complex diseases, enabling several observations simultaneously that can become foundations for newer hypotheses-shifting us towards a non-reductionist approach to biological phenomenon. This appears of particular value for scientific and clinical dissection of tumor pathologies. Despite the tremendous potential presented by microarray technology for the investigation of disease, concrete insights and advances that translate to the clinical setting are only recently beginning to be tapped. Here, we discuss specific examples of how microarray technology is being integrated into our ever-evolving approach to clinical disease. We focus on molecular strategies for (a) disease classification, (b) disease outcome, and (c) disease mechanisms.

Gene Expression Profiling↗