Distinct transcriptomic and exomic abnormalities within myelodysplastic syndrome marrow cells.

ABSTRACT: To provide biologic insights into mechanisms underlying myelodysplastic syndromes (MDS) we evaluated the CD34⁺ marrow cells transcriptome using high-throughput RNA sequencing (RNA-Seq). We demonstrated significant differential gene expression profiles (GEPs) between MDS and normal and identified 41 disease classifier genes. Additionally, two main clusters of GEPs distinguished patients based on their major clinical features, particularly between those whose disease remained stable versus patients who transformed into acute myeloid leukemia within 12 months. The genes whose expression was associated with disease outcome were involved in functional pathways and biologic processes highly relevant for MDS. Combined with exomic analysis we identified differential isoform usage of gen

SUBMITTER: Im H 

PROVIDER: S-EPMC6214785 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature