HKU Data Repository
Browse

File(s) under embargo

Reason: Files contain confidential patient information.

Supporting data for "Long Noncoding Transcriptome in Acute Myeloid Leukaemia"

dataset
posted on 2023-12-01, 04:32 authored by Ho Wan Ip

The landscape of transcribed super-enhancers (SEs) in acute myeloid leukemia (AML) has not been characterized. Established methods for determination of SE landscape rely on chromatin immunoprecipitation of H3K27ac and H3K4me1 followed by sequencing to ascertain chromatin pattern. Enhancer RNA expression represents an independent method to measure functional enhancer activities. Recent strategies focusing on pre-defined enhancer elements have enabled the determination of SE landscape in large cohorts of primary tumor samples using RNA-sequencing. In this study, we performed deep total RNA-sequencing to study the landscape of transcribed SE loci in 185 AML patients and observed transcribed SE activities being closely associated with subtype-specific transcriptional programs in AML, revealing the pervasiveness of SE-associated deregulation of coding genes. Our findings suggest transcribed SE loci are pervasively involved in leukemogenic pathways, with clinical utility as biomarkers for prediction of treatment response.

Funding

Health and Medical Research Fund

History

Usage metrics

    Research Postgraduates

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC