Dynamic patterns of microRNA expression during acute myeloid leukemia state-transition.
Journal
Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440
Informations de publication
Date de publication:
22 04 2022
22 04 2022
Historique:
entrez:
22
4
2022
pubmed:
23
4
2022
medline:
27
4
2022
Statut:
ppublish
Résumé
MicroRNAs (miRNAs) have been shown to hold prognostic value in acute myeloid leukemia (AML); however, the temporal dynamics of miRNA expression in AML are poorly understood. Using serial samples from a mouse model of AML to generate time-series miRNA sequencing data, we are the first to show that the miRNA transcriptome undergoes state-transition during AML initiation and progression. We modeled AML state-transition as a particle undergoing Brownian motion in a quasi-potential and validated the AML state-space and state-transition model to accurately predict time to AML in an independent cohort of mice. The critical points of the model provided a framework to align samples from mice that developed AML at different rates. Our mathematical approach allowed discovery of dynamic processes involved during AML development and, if translated to humans, has the potential to predict an individual's disease trajectory.
Identifiants
pubmed: 35452289
doi: 10.1126/sciadv.abj1664
pmc: PMC9032952
doi:
Substances chimiques
MicroRNAs
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
eabj1664Subventions
Organisme : NHLBI NIH HHS
ID : R01 HL141379
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA250046
Pays : United States
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