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Next Generation Sequencing of EGFR-mutant non-small cell lung cancer (NSCLC) cells with tyrosine kinase inhibitor (TKI)-resistance

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP277077
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Purpose: The aim of this study is to compare the differentially expressed transcriptome of TKI resistance NSCLC cells and their parental cells Methods: mRNA profiles of the TKI-resistant NSCLC cells and their parental cells were generated by deep sequencing using Illumina HiSeq4000. Clean RNA-seq data was quantified and analyzed using the CLC genomics workbench software version 11.0 (Qiagen, Hilden, Germany). Results: In the current study, we established three EGFR-TKI-resistant cell lines and analyzed their expression profiles by RNA sequencing. We mapped about 30 million sequence reads per sample to the human genome (hg38) sequence and identified 21,463 transcripts in the parental and TKI-resistant NSCLC cells. Over 10% of the transcripts showed differential expression between the parental andTKI-resistant NSCLC cells, with a fold change =1.5 and p value <0.05. Transcriptome data analysis revealed the existence of significant overlaps and significant upregulation of epithelial-mesenchymal transition (EMT) pathway in the three cell lines with EGFR-TKI resistance. Conclusions: Our results showed that RNA-seq based transcriptome characterization offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within TKI-resistant NSCLC cells. Overall design: mRNA profiles of TKI-resistant NSCLC cells and their parental cells
创建时间:
2023-08-01
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