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Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and SMAD4 Y95 Mutation Transcriptomes

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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=GSE121188
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Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of Y95 phosphorylation on SMAD4-mediated transcription in response to TGF-b signals. The goals of this study are to compare transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: mRNA profiles of HaCaT parental and SMAD4 KO cells stably expressing wild-type SMAD4 (WT), Y95E or Y95F mutant, and GFP (as control) under with or without TGF-b were generated by deep sequencing, using Illumina HiSeq X Ten. qRT–PCR validation was performed using TaqMan and SYBR Green assays Conclusions: hierarchical clustering of the global gene expression profiles of TGF-β treated cells revealed that wild-type-SMAD4- and Y95F-mutant-rescued SMAD4-null cells were highly similar to the parental HaCaT cells, whereas GFP- and Y95E-mutant-rescued cells formed a separate cluster Wild Type and SMAD4 Y95 Mutation
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2019-03-20
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