Qualitative differences in diseases-associated mutants reveal molecular signatures and aberrant signaling-crosstalk
收藏NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE165823
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We generated HEK293 cells stably expressing diseases-derived mutants and performed a genome-wide transcriptome analysis using the 60K SurePrint G3 Human gene expression microarray technology. By the analysis of their gene expression profiles, we identified diseases-associated signature genes that may serve as diagnostic markers or therapeutic targets for the diseases. We compared mRNA expression of HEK293 cells stably expressing WT, or a representative disease-associated mutant (F53S or K57N).
创建时间:
2022-07-20



