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Data-driven modeling of core gene regulatory network underlying leukemogenesis in IDH mutant AML.
Katebi, Ataur; Chen, Xiaowen; Ramirez, Daniel; Li, Sheng; Lu, Mingyang.
Afiliación
  • Katebi A; Department of Bioengineering, Northeastern University, Boston, MA, USA.
  • Chen X; Center for Theoretical Biological Physics, Northeastern University, Boston, MA, USA.
  • Ramirez D; Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Li S; Department of Bioengineering, Northeastern University, Boston, MA, USA.
  • Lu M; Center for Theoretical Biological Physics, Northeastern University, Boston, MA, USA.
NPJ Syst Biol Appl ; 10(1): 38, 2024 Apr 09.
Article en En | MEDLINE | ID: mdl-38594351
ABSTRACT
Acute myeloid leukemia (AML) is characterized by uncontrolled proliferation of poorly differentiated myeloid cells, with a heterogenous mutational landscape. Mutations in IDH1 and IDH2 are found in 20% of the AML cases. Although much effort has been made to identify genes associated with leukemogenesis, the regulatory mechanism of AML state transition is still not fully understood. To alleviate this issue, here we develop a new computational approach that integrates genomic data from diverse sources, including gene expression and ATAC-seq datasets, curated gene regulatory interaction databases, and mathematical modeling to establish models of context-specific core gene regulatory networks (GRNs) for a mechanistic understanding of tumorigenesis of AML with IDH mutations. The approach adopts a new optimization procedure to identify the top network according to its accuracy in capturing gene expression states and its flexibility to allow sufficient control of state transitions. From GRN modeling, we identify key regulators associated with the function of IDH mutations, such as DNA methyltransferase DNMT1, and network destabilizers, such as E2F1. The constructed core regulatory network and outcomes of in-silico network perturbations are supported by survival data from AML patients. We expect that the combined bioinformatics and systems-biology modeling approach will be generally applicable to elucidate the gene regulation of disease progression.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Leucemia Mieloide Aguda / Nucleofosmina Límite: Humans Idioma: En Revista: NPJ Syst Biol Appl Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Leucemia Mieloide Aguda / Nucleofosmina Límite: Humans Idioma: En Revista: NPJ Syst Biol Appl Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido