In Silico Genetics Revealing 5 Mutations in CEBPA Gene Associated With Acute Myeloid Leukemia.

Mujahed I MustafaZainab O MohammedNaseem S MurshedNafisa M ElfadolAbdelrahman H AbdelmoneimMohamed A Hassan

Published in: Cancer informatics (2019)

In this study, the impact of functional mutations in the CEBPA gene was investigated through different bioinformatics analysis techniques, which determined that R339W, R288P, N292S, N292T, and D63N are pathogenic mutations that have a possible functional and structural influence, therefore, could be used as genetic biomarkers and may assist in genetic studies with a special consideration of the large heterogeneity of AML.

Keyphrases

acute myeloid leukemia
genome wide
copy number
bioinformatics analysis
allogeneic hematopoietic stem cell transplantation
genome wide identification
single cell
molecular docking
gene expression
atomic force microscopy
case control
single molecule
molecular dynamics simulations