PhD Student

PhD program:: XXXVIII
email: lorenza.mautone@uniroma1.it
building: Istituto Italiano di Tecnologia, Viale Regina Elena 291
room: lab10

supervisor: Silvia Di Angelantonio
advisor: Silvia Di Angelantonio
co-supervisor: Silvia Di Angelantonio

2021/2022. Affiliated Researcher at the Italian Institute of Technology (Center for Life Nano-& Neuro-Science, CLN2S, Rome);
2021/2022. Research Fellowship (sponsored by CRISEL INSTRUMENTS s.r.l.) on MICOLET - POR FESR LAZIO 2014-2020 project;
2021. Research Fellowship, Italian Institute of Technology (Center for Life Nano-& Neuro-Science, CLN2S, Rome);
2019/2020. Research Fellowship, University of Salerno, on RARE.PLAT.NET project.

2022-in progress. PhD in Life Science (XXXVIII cycle). Sapienza University of Rome;
2020/2021. II level Professional Master's Program of Stem cells and genome editing (u-stem) in memoriam of Paolo Bianco, (110/110 cum laude). Sapienza University of Rome;
2018. Professional habilitation as Biologist. University of Sannio-Benevento;
2015/2018. Master of Science degree in Biology, with honors. University of Salerno (110/110 cum laude);
2010/2015. Bachelor of Science degree in Biological Sciences. University of Ferrara.

-Cell culture and handing: Primary tumor cell lines, stem cell lines; generation of 2D and 3D retinal culture from iPSC; flow cytometry measurements; Confocal microscopy, immunofluorescence staining and image analysis (ImageJ, MetaMorph);
-Molecular biology techniques: Nucleic acids and proteins extraction from tissue, biological fluids and cell pellets; Electrophoresis on agarose gel and SDS-page; Western Blotting; cDNA synthesis, PCR and Real-Time PCR; Immunoprecipitation and chromatin immunoprecipitation;
-NGS (Illumina) technology application: Total RNA-seq, small RNA-seq, ChIP-seq, Whole Genome sequencing, Whole Exome sequencing;
-Statistical software (GraphPad);
-Bioinformatics tools: Protein and nucleic acid sequences alignment and analysis (Clustal Omega, SnapGene Viewer, Serial Cloner); modeling and prediction of protein’s structure (ExPasy, PyMOL); genomic and proteomic databases (NCBI, BLAST, PDB, UniProt, GO, TCGA); manipulation of FATSQ files (TCGA); Primer Design (Primer-BLAST).

Lorenza Mautone, Carlo Ferravante, Anna Tortora, Roberta Tarallo, Giorgio Giurato, Alessandro Weisz, Mario Vitale. Higher interni alpha 3 beta 1 expression in Papillary thyroid cancer is associated with worst outcome. Cancers 2021, 13, 2937. https://doi.org/10.3390/cancers13122937.

Research products

  • 11573/1656321 - 2021 - Higher Integrin Alpha 3 Beta1 Expression in Papillary Thyroid Cancer Is Associated with Worst Outcome (01a Articolo in rivista)

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