Image1_Multi-omic analysis of longitudinal acute myeloid leukemia patient samples reveals potential prognostic markers linked to disease progression.JPEG

Image1_Multi-omic analysis of longitudinal acute myeloid leukemia patient samples reveals potential prognostic markers linked to disease progression.JPEG

<p>Relapse remains a determinant of treatment failure and contributes significantly to mortality in acute myeloid leukemia (AML) patients. Despite efforts to understand AML progression and relapse mechanisms, findings on acquired gene mutations in relapse vary, suggesting inherent genetic hete...

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Bibliographic Details
Main Author: Nisar Ahmed (584617) (author)
Other Authors: Irene Cavattoni (19748692) (author), William Villiers (19482292) (author), Chiara Cugno (3441302) (author), Sara Deola (58113) (author), Borbala Mifsud (3907267) (author)
Published: 2024
Subjects:
Genetics
Genetic Engineering
Biomarkers
Developmental Genetics (incl. Sex Determination)
Epigenetics (incl. Genome Methylation and Epigenomics)
Gene Expression (incl. Microarray and other genome-wide approaches)
Genome Structure and Regulation
Genomics
Genetically Modified Animals
Livestock Cloning
Gene and Molecular Therapy
AML relapse
multi-omic analyses
chromatin reorganization
epigenetic modifications
Omni-C
ATAC-seq
RNA-seq
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