Wang Matthew C, McCown Phillip J, Schiefelbein Grace E, Brown Jessica A
Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, USA.
Noncoding RNA. 2021 Jan 13;7(1):6. doi: 10.3390/ncrna7010006.
Long noncoding RNAs (lncRNAs) influence cellular function through binding events that often depend on the lncRNA secondary structure. One such lncRNA, metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), is upregulated in many cancer types and has a myriad of protein- and miRNA-binding sites. Recently, a secondary structural model of MALAT1 in noncancerous cells was proposed to form 194 hairpins and 13 pseudoknots. That study postulated that, in cancer cells, the MALAT1 structure likely varies, thereby influencing cancer progression. This work analyzes how that structural model is expected to change in K562 cells, which originated from a patient with chronic myeloid leukemia (CML), and in HeLa cells, which originated from a patient with cervical cancer. Dimethyl sulfate-sequencing (DMS-Seq) data from K562 cells and psoralen analysis of RNA interactions and structure (PARIS) data from HeLa cells were compared to the working structural model of MALAT1 in noncancerous cells to identify sites that likely undergo structural alterations. MALAT1 in K562 cells is predicted to become more unstructured, with almost 60% of examined hairpins in noncancerous cells losing at least half of their base pairings. Conversely, MALAT1 in HeLa cells is predicted to largely maintain its structure, undergoing 18 novel structural rearrangements. Moreover, 50 validated miRNA-binding sites are affected by putative secondary structural changes in both cancer types, such as miR-217 in K562 cells and miR-20a in HeLa cells. Structural changes unique to K562 cells and HeLa cells provide new mechanistic leads into how the structure of MALAT1 may mediate cancer in a cell-type specific manner.
长链非编码RNA(lncRNAs)通过通常依赖于lncRNA二级结构的结合事件来影响细胞功能。其中一种lncRNA,即转移相关肺腺癌转录本1(MALAT1),在许多癌症类型中上调,并且有大量的蛋白质和miRNA结合位点。最近,有人提出了非癌细胞中MALAT1的二级结构模型,该模型形成了194个发夹结构和13个假结结构。该研究推测,在癌细胞中,MALAT1的结构可能会发生变化,从而影响癌症进展。这项工作分析了源自慢性粒细胞白血病(CML)患者的K562细胞和源自宫颈癌患者的HeLa细胞中,该结构模型预计会如何变化。将来自K562细胞的硫酸二甲酯测序(DMS-Seq)数据与来自HeLa细胞的RNA相互作用和结构的补骨脂素分析(PARIS)数据,与非癌细胞中MALAT1的工作结构模型进行比较,以确定可能发生结构改变的位点。预计K562细胞中的MALAT1会变得更加无结构,非癌细胞中近60%检测到的发夹结构失去了至少一半的碱基配对。相反,预计HeLa细胞中的MALAT1在很大程度上会保持其结构,会发生18种新的结构重排。此外,在这两种癌症类型中,50个经过验证的miRNA结合位点受到假定的二级结构变化的影响,例如K562细胞中的miR-217和HeLa细胞中的miR-20a。K562细胞和HeLa细胞特有的结构变化为MALAT1的结构如何以细胞类型特异性方式介导癌症提供了新的机制线索。