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Next Generation Sequencing Facilitates Quantitative Analysis of IFNα Stimulated Transcriptomes in HepG2, SETD2-KO, STAT1-KO and STAT1-K525ARe HepG2 cells

ABSTRACT: Purpose: Using RNA-seq to analyze the different expressions induced by IFNα among the SETD2-KO HepG2 cells, STAT1-KO HepG2 cells and STAT1-K525A-Re HepG2 cells and HepG2 control cells Methods: mRNA profiles of HepG2 control cells and SETD2-KO cells, STAT1-KO cells, STAT1-K525A-Re cells were generated by deep sequencing, using BGISEQ-500RS. The sequence reads that passed quality filters were analyzed at the transcriptional level with RSEM (RNA-seq by Expectation Maximization).

ORGANISM(S): Homo sapiens

PROVIDER: GSE98372 | GEO | 2019/03/12

REPOSITORIES: GEO

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