Gene regulatory network analysis predicts cooperating transcription factor regulons required for FLT3-ITD+ AML growth

基因调控网络分析预测了FLT3-ITD+ AML生长所需的协同转录因子调控子。

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作者:Daniel J L Coleman ,Peter Keane ,Rosario Luque-Martin ,Paulynn S Chin ,Helen Blair ,Luke Ames ,Sophie G Kellaway ,James Griffin ,Elizabeth Holmes ,Sandeep Potluri ,Salam A Assi ,John Bushweller ,Olaf Heidenreich ,Peter N Cockerill ,Constanze Bonifer

Abstract

Acute myeloid leukemia (AML) is a heterogeneous disease caused by different mutations. Previously, we showed that each mutational subtype develops its specific gene regulatory network (GRN) with transcription factors interacting within multiple gene modules, many of which are transcription factor genes themselves. Here, we hypothesize that highly connected nodes within such networks comprise crucial regulators of AML maintenance. We test this hypothesis using FLT3-ITD-mutated AML as a model and conduct an shRNA drop-out screen informed by this analysis. We show that AML-specific GRNs predict crucial regulatory modules required for AML growth. Furthermore, our work shows that all modules are highly connected and regulate each other. The careful multi-omic analysis of the role of one (RUNX1) module by shRNA and chemical inhibition shows that this transcription factor and its target genes stabilize the GRN of FLT3-ITD+ AML and that its removal leads to GRN collapse and cell death. Keywords: CP: Cancer; FLT3-ITD acute myeloid leukemia; RUNX1 dependency; gene regulatory networks; shRNA drop-out screen; transcription factor regulatory modules.

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