Studio di espressione e funzione della PLCβ1 nucleare in modelli murini ed umani di cellule ematopoietiche mieloidi e linfoidi

The aims of this work were to investigate the role of nuclear Phospholipase C beta 1 (PI-PLCβ1) in human and mouse cell lines and to identify new binding partners of nuclear PI-PLCβ1 to further understand the functional network in which the enzyme acts. The intracellular distribution of PI-PLCβ1 was further investigated in human leukaemia cell lines (NB4, HL60, THP1, CEM, Jurkat, K562). With the exception of HL60, a high endogenous level of PI-PLCβ1 was detected in purified nuclei in each of the cell lines. We found that also in Ba/F3 pro-B cells overexpressing PI-PLCβ1b the protein localize within the nucleus. Although our data demonstrated that PI-PLCβ1b was not involved in cell proliferation and IGF-1 response as shown in other cell lines (FELC and Swiss 3T3), there was an effect on apoptosis. Activation of early apoptotic markers caspase-3 and PARP was delayed in PI-PLCβ1b overexpressing Ba/F3 cells treated with 5 gr/ml mitomycin C for 24h. We performed an antibody-specific immunoprecipitation on nuclear lysates from FELC-PLCβ1b cells. Mass spectrometry analysis (nano-ESI-Q-TOF) of co-immunoprecipitated proteins allowed for identification of 92 potential nuclear PI-PLCβ1b interactors. Among these, several already documented PI-PLCβ1b interacting partners (Srp20, LaminB, EF1α2) were identified, further validating our data. All the identified proteins were nuclear, mostly localized within the nuclear speckles. This evidence is particularly relevant as PI-PLCβ1 is known to localize in the same domains. Many of the identified proteins are involved in cell cycle, proliferation and transcriptional control. In particular, many of the proteins are components of the spliceosome multi-complex, strengthening the idea that PI-PLCβ1b is involved in mRNA processing and maturation. Future work will aim to better characterize the regulatory role of PI-PLCβ1b in mRNA splicing.

Pyrolysis-Gas Chromatography-Mass Spectometry and Chemometric Analysis for the Characterization of Complex Matrices

The present PhD thesis was focused on the development and application of chemical methodology (Py-GC-MS) and data-processing method by multivariate data analysis (chemometrics). The chromatographic and mass spectrometric data obtained with this technique are particularly suitable to be interpreted by chemometric methods such as PCA (Principal Component Analysis) as regards data exploration and SIMCA (Soft Independent Models of Class Analogy) for the classification. As a first approach, some issues related to the field of cultural heritage were discussed with a particular attention to the differentiation of binders used in pictorial field. A marker of egg tempera the phosphoric acid esterified, a pyrolysis product of lecithin, was determined using HMDS (hexamethyldisilazane) rather than the TMAH (tetramethylammonium hydroxide) as a derivatizing reagent. The validity of analytical pyrolysis as tool to characterize and classify different types of bacteria was verified. The FAMEs chromatographic profiles represent an important tool for the bacterial identification. Because of the complexity of the chromatograms, it was possible to characterize the bacteria only according to their genus, while the differentiation at the species level has been achieved by means of chemometric analysis. To perform this study, normalized areas peaks relevant to fatty acids were taken into account. Chemometric methods were applied to experimental datasets. The obtained results demonstrate the effectiveness of analytical pyrolysis and chemometric analysis for the rapid characterization of bacterial species. Application to a samples of bacterial (Pseudomonas Mendocina), fungal (Pleorotus ostreatus) and mixed- biofilms was also performed. A comparison with the chromatographic profiles established the possibility to: • Differentiate the bacterial and fungal biofilms according to the (FAMEs) profile. • Characterize the fungal biofilm by means the typical pattern of pyrolytic fragments derived from saccharides present in the cell wall. • Individuate the markers of bacterial and fungal biofilm in the same mixed-biofilm sample.