five

Multiomic characterization of WDR5 WIN site inhibition reveals actionable synergies for MLL-rearranged leukemia

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE206931
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In this study, we utilized a multi-omics approach to determine the transcriptional, translational, and proteomic responses to WIN Site inhibition in MLL-rearranged leukemia cells via RNA-Seq, Ribo-Seq, and quantitative proteomics, respectively. We also performed both a whole-genome targeting primary CRISPR screen and a secondary CRISPR screen targeting a currated collection of genes to determine genes important for sensitivity to WIN Site inhibition. These combined data sets rationally guided us in assembling a collection of compounds that, when combined with WIN Site inhibitor, synergistically inhibit growth of MLL-rearranged leukemia cells. MV4;11 cells were treated with either DMSO or one of two unique WIN Site inhibitors before performing RNA-Seq to determine transcriptome alterations and Ribo-Seq to determine translatome alterations. CRISPR screens were performed in MV4;11 cells to determine genes altering sensitivity to multiple WIN Site inhibitors.
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2024-05-24
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