Metabolomics

Dataset Information

0

Disruption of Methionine Metabolism Drives Erythroid Cell Fate Reprogramming by Remodeling the H3K4me3 Landscape


ABSTRACT:

Methionine cycle plays critical roles in cell fate determination by shaping epigenetic landscape, yet its function in human erythropoiesis remains undefined. Here, we show that disruption of methionine metabolism by compromising key enzyme adenosylhomocysteinase (AHCY) reshapes H3K4me3 landscape, causing erythroid cell fate reprogramming. AHCY deficiency severely impaired erythroid differentiation and expansion, leading to the generation of non-erythroid lineage hematopoietic cells, including stem/progenitor cells and immune cells, as evidenced by single-cell RNA sequencing, Pseudo temporal analysis delineated a precise dedifferentiation trajectory, revealing erythroblasts transitioning back to MEPs and HSCs. Moreover, human hematopoietic system could be reconstituted in the immunodeficient NCG-X mice by transplanting AHCY deficient erythroblasts. Mechanistically, AHCY deficiency reduced global H3K4me3 levels and altered its genomic distribution, resulting in the upregulated expression of non-erythroid transcription factors and downregulated expression of erythrocyte lineage-specific transcription factors. Integrated single-cell analyses identified transitional states with diminished AHCY in the erythroblasts of acute myeloid leukemia (AML) patient. Further flow cytometry confirmed the reduced H3K4me3 level in patient derived erythroid cells. Erythroblast isolated from AML patients with reduced H3K4me3 exhibited dedifferentiation potential into progenitor-like states. Our findings reveal a metabolic-epigenetic axis governing cell fate reprogramming in human erythropoiesis and provide insights into leukemia associated anemia.

INSTRUMENT(S): Liquid Chromatography MS - alternating - hilic, Liquid Chromatography MS - alternating - reverse-phase

PROVIDER: MTBLS10469 | MetaboLights | 2026-06-10

REPOSITORIES: MetaboLights

Dataset's files

Source:

Similar Datasets

2019-01-29 | GSE105085 | GEO
2019-01-29 | GSE113974 | GEO
2019-01-29 | GSE105086 | GEO
2024-10-08 | PXD038318 | Pride
2024-09-02 | BIOMD0000000898 | BioModels
2025-05-29 | MTBLS3707 | MetaboLights
2020-12-22 | GSE132175 | GEO
2021-07-01 | MODEL2105030001 | BioModels
2022-03-16 | PXD028481 | Pride
2015-08-04 | E-GEOD-71688 | biostudies-arrayexpress