Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Andrea Pellagatti


University Research Lecturer

I have received my undergraduate degree from the University of Milan (Italy), and I have obtained my PhD in Oxford in 2007 on the study of myeloid disorders using microarray technology.

My research has primarily concerned the investigation of the molecular pathogenesis of the myelodysplastic syndromes (MDS), a heterogeneous group of myeloid malignancies. We have performed the largest study to date of gene expression profiling in MDS CD34+ cells and this work has resulted in the identification of key genes and pathways deregulated in this disorder. We have also identified a gene expression profiling-based signature for assessing prognosis in MDS. More recently we have explored the interconnections among mutations, gene expression, clinical variables and patient survival in MDS, and we showed that the transcriptome was the most powerful predictor of outcome. Our study of the MDS transcriptome using RNA sequencing has identified key downstream target genes that are aberrantly spliced in association with spliceosome gene mutations in MDS. Mutation of the splicing factor SF3B1 is strongly associated with the MDS subtype RARS and we have implicated aberrant splicing of the downstream target gene ABCB7 in the pathophysiology of RARS. We have also identified the key target genes of the mutant splicing factor gene U2AF1 in the cell lineages affected in MDS. These data have critical implications for understanding MDS phenotypic heterogeneity and support the development of therapies targeting splicing abnormalities.

Using next-generation sequencing technology, we have illuminated the molecular landscape of MDS and we have evaluated the frequency and chronology of mutation acquisition in serial samples from MDS patients progressing to acute myeloid leukaemia (AML).

We are currently using CRISPR/Cas9 genome editing to model MDS and to investigate the impact of common mutations on the MDS phenotype.

I have served on several departmental committees and on international scientific panels, including the International Working Group for the Prognosis of MDS.

Key publications

Recent publications

More publications