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RNA sequencing of mutant AKT tumors

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE122781
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Goal: Comparison of mRNA expression profiles in primary tumors based on activation of different AKT paralogs Methods: RNA sequencing performed at the High-Throughput Genomics and Bioinformatics Analysis Core at the University of Utah. Detailed procedures available in methods and DNA processing pipline sections. Results: Focus of study compared mRNA expression profiles of BRAFV600E;Cdkn2a-/-;Pten-/- and BRAFV600E;Cdkn2a-/-;Pten-/-;AKT1E17K cohorts. PCA and unsupervised heirarchical clustering revealed samples clustered together appropriately. Seventeen of eighteen FA factor genes analyzed were upregulated in the AKT1E17K cohort. Conclusion: AKT1E17K has a critical role in upregulating a large group of FA factors Thirty primary tumor samples included in analyses: Six BRAFV600E;Cdkn2a-/-, Six BRAFV600E;Cdkn2a-/-;Pten-/-, Six BRAFV600E;Cdkn2a-/-;Pten-/-;AKT1E17K, Six BRAFV600E;Cdkn2a-/-;Pten-/-;AKT2E17K, Six BRAFV600E;Cdkn2a-/-;Pten-/-;AKT3E17K
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2019-03-21
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