Genetic Screening for Potential New Targets in Chronic Myeloid Leukemia Based on Drosophila Transgenic for Human BCR-ABL1.
Giacomo AndreaniElisabetta SignorinoJessica PetitiMonica PradottoChiara CalabreseCristina PanuzzoFrancesca CaciolliBarbara PergolizziMarco De GobbiGiovanna Rege-CambrinCarmen FavaClaudia GiachinoEnrico BraccoGiuseppe SaglioFrancesco FrassoniDaniela CilloniPublished in: Cancers (2021)
Chronic myeloid leukemia is a myeloproliferative neoplasm characterized by the presence of the Philadelphia chromosome that originates from the reciprocal translocation t(9;22)(q34;q11.2) and encodes for the constitutively active tyrosine kinase protein BCR-ABL1 from the Breakpoint Cluster Region (BCR) sequence and the Abelson (ABL1) gene. Despite BCR-ABL1 being one of the most studied oncogenic proteins, some molecular mechanisms remain enigmatic, and several of the proteins, acting either as positive or negative BCR-ABL1 regulators, are still unknown. The Drosophila melanogaster represents a powerful tool for genetic investigations and a promising model to study the BCR-ABL1 signaling pathway. To identify new components involved in BCR-ABL1 transforming activity, we conducted an extensive genetic screening using different Drosophila mutant strains carrying specific small deletions within the chromosomes 2 and 3 and the gmrGal4,UAS-BCR-ABL1 4M/TM3 transgenic Drosophila as the background. From the screening, we identified several putative candidate genes that may be involved either in sustaining chronic myeloid leukemia (CML) or in its progression. We also identified, for the first time, a tight connection between the BCR-ABL1 protein and Rab family members, and this correlation was also validated in CML patients. In conclusion, our data identified many genes that, by interacting with BCR-ABL1, regulate several important biological pathways and could promote disease onset and progression.
Keyphrases
- machine learning
- chronic myeloid leukemia
- tyrosine kinase
- genome wide
- deep learning
- signaling pathway
- copy number
- end stage renal disease
- escherichia coli
- acute lymphoblastic leukemia
- epidermal growth factor receptor
- chronic kidney disease
- gene expression
- cell proliferation
- low grade
- dna methylation
- transcription factor
- ejection fraction
- endothelial cells
- newly diagnosed
- electronic health record
- epithelial mesenchymal transition
- peritoneal dialysis
- data analysis
- induced apoptosis
- amino acid
- patient reported