Transcriptomics

Dataset Information

0

Single cell multi-omics analysis of chronic myeloid leukemia links cellular heterogeneity to therapy response


ABSTRACT: The advent of tyrosine kinase inhibitors (TKIs) as treatment of Chronic Myeloid Leukemia (CML) is a paradigm in molecularly targeted cancer therapy. Nonetheless, TKI insensitive leukemia stem cells (LSCs) persist in most patients, even after years of treatment. Here, we used cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) to generate high-resolution single cell multiomics maps from CML patients stratified according to molecular response (BCR-ABL IS %) following 12 months of TKI therapy. Simultaneous measurement of global gene expression profiles together with >40 surface markers from the same cells revealed that each patient harbored a unique composition of stem and progenitor cells at diagnosis demonstrating that cellular heterogeneity is a hallmark of CML. The patients with treatment failure at 12 months of therapy had markedly higher abundance of molecularly defined primitive cells at diagnosis compared to the optimal responders. The multi-modal feature landscape enabled visualization of the primitive fraction as a mix of Lin-CD34+38-/low BCR-ABL1+ LSCs and BCR-ABL1- HSCs in variable ratio across patients and guided their prospective isolation by a combination of CD26 and CD35 cell surface markers.

ORGANISM(S): Homo sapiens

PROVIDER: GSE236233 | GEO | 2024/01/17

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-01-17 | E-GEOD-75615 | biostudies-arrayexpress
2024-09-15 | GSE275701 | GEO
2016-01-17 | GSE75615 | GEO
2010-02-09 | GSE18964 | GEO
2017-01-27 | GSE84507 | GEO
2024-03-01 | GSE198142 | GEO
2017-06-06 | GSE99656 | GEO
2021-07-06 | GSE152706 | GEO
2021-07-06 | GSE152701 | GEO
2021-07-06 | GSE174800 | GEO