In this thesis, we explore integrative genomics through advanced sequencing to understand biological systems and processes, focusing on two main projects. The first investigates transcription factors (TFs) in cellular differentiation, addressing the inefficiency in current cellular conversion strategies due to the complex TF regulatory landscape. We developed a comprehensive screening of 130 developmental TFs, comparing their dosages in a single experiment to identify novel pioneer factors crucial for cellular identity. This approach aims to enhance our understanding of cell fate decisions. The second project examines triple-negative breast cancer (TNBC), characterized by its aggressiveness and treatment challenges due to tumor heterogeneity. We propose a novel clinical workflow combining spatial transcriptomics, RNA sequencing, and Immunohistochemistry to analyze TNBC, focusing on PD-L1 status. This method revealed sub-tumoral variations and identified LY6D as a new diagnostic marker, highlighting the potential of spatial transcriptomics in personalized medicine for TNBC. Overall, this dissertation contributes to the fields of cellular reprogramming and cancer diagnostics by integrating various genomic data and technologies to uncover complex molecular mechanisms and identify new therapeutic targets.

INTEGRATIVE GENOMICS UNVEILS TRANSCRIPTION FACTOR ROLES IN CELLULAR FATEAND SPATIALLY RESOLVED TRIPLE-NEGATIVE BREAST CANCER IMMUNITY CAPACITY

SLOVIN, SHAKED
2024

Abstract

In this thesis, we explore integrative genomics through advanced sequencing to understand biological systems and processes, focusing on two main projects. The first investigates transcription factors (TFs) in cellular differentiation, addressing the inefficiency in current cellular conversion strategies due to the complex TF regulatory landscape. We developed a comprehensive screening of 130 developmental TFs, comparing their dosages in a single experiment to identify novel pioneer factors crucial for cellular identity. This approach aims to enhance our understanding of cell fate decisions. The second project examines triple-negative breast cancer (TNBC), characterized by its aggressiveness and treatment challenges due to tumor heterogeneity. We propose a novel clinical workflow combining spatial transcriptomics, RNA sequencing, and Immunohistochemistry to analyze TNBC, focusing on PD-L1 status. This method revealed sub-tumoral variations and identified LY6D as a new diagnostic marker, highlighting the potential of spatial transcriptomics in personalized medicine for TNBC. Overall, this dissertation contributes to the fields of cellular reprogramming and cancer diagnostics by integrating various genomic data and technologies to uncover complex molecular mechanisms and identify new therapeutic targets.
22-apr-2024
Inglese
CACCHIARELLI, DAVIDE
Università degli Studi di Milano
English
134
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/112908
Il codice NBN di questa tesi è URN:NBN:IT:UNIMI-112908