Targeting TIP60 inhibits tumorigenesis in non-small cell lung cancer [RNA-seq]. Targeting TIP60 inhibits tumorigenesis in non-small cell lung cancer [RNA-seq]
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA854150
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Histone modifications play crucial roles in transcriptional activation, and aberrant epigenetic changes are associated with oncogenesis. Lysine (K) acetyltransferases 5 (TIP60, also known as KAT5) is reportedly implicated in cancer development, although its function in lung cancer remains unclear. Here we demonstrate that TIP60 knockdown in non-small cell lung cancer cells decreased tumor cell progression. Furthermore, analysis of a mouse lung cancer model with lung-specific conditional Tip60 knockout revealed suppressed tumor formation relative to controls, but no apparent effects on normal lung homeostasis. RNA-seq and ChIP-seq analyses of inducible TIP60 knockdown H1975 cells relative to controls revealed transglutaminase enzyme (TGM5) as downstream of TIP60. In addition, a candidate TIP60 inhibitor suppressed tumor growth in cell culture and in vivo. Taken together, suppression of TIP60 activity shows tumor-specific efficacy against lung cancer, with no overt effect on normal tissues. Our work suggests that targeting TIP60 could be a promising approach in treating lung cancer. Overall design: Comparative gene expression profiling analysis of RNA-seq data for H1975 control cells and its KD derivatives {shTIP60-1 (sh-B) and shTIP60-2 (sh-C)}.
组蛋白修饰(Histone modifications)在转录激活过程中发挥关键作用,异常表观遗传改变与肿瘤发生密切相关。赖氨酸(K)乙酰转移酶5(Lysine (K) acetyltransferases 5, TIP60,亦称KAT5)据报道与癌症发生存在关联,但其在肺癌中的功能仍未明确。本研究证实,在非小细胞肺癌(non-small cell lung cancer)细胞中敲低TIP60可抑制肿瘤细胞进展。此外,针对肺特异性条件性敲除Tip60的小鼠肺癌模型进行分析发现,相较于对照组,实验组肿瘤形成受到显著抑制,但对正常肺稳态无明显影响。对诱导型敲低TIP60的H1975细胞及其对照组开展转录组测序(RNA-seq)与染色质免疫共沉淀测序(ChIP-seq)分析,结果显示转谷氨酰胺酶(transglutaminase enzyme, TGM5)为TIP60的下游靶基因。此外,一种候选TIP60抑制剂可在细胞培养及体内实验中抑制肿瘤生长。综上,抑制TIP60活性对肺癌展现出肿瘤特异性疗效,且对正常组织无明显不良影响。本研究表明,靶向TIP60有望成为肺癌治疗的潜在策略。整体实验设计:对H1975对照细胞及其敲低(KD)衍生细胞系{shTIP60-1(sh-B)与shTIP60-2(sh-C)}的RNA-seq数据开展比较基因表达谱分析。
创建时间:
2022-06-29



