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通过光反应化学探针分析和鉴定癌细胞中的肿瘤发生靶标 microRNA。

Analysis and Identification of Tumorigenic Targets of MicroRNA in Cancer Cells by Photoreactive Chemical Probes.

机构信息

School of Chemistry & Chemical Engineering, Inner Mongolia Key Laboratory of Mongolian Medicinal Chemistry, Inner Mongolia University, 235 West College Road, Hohhot, Inner Mongolia 010020, China.

出版信息

Int J Mol Sci. 2020 Feb 24;21(4):1545. doi: 10.3390/ijms21041545.

Abstract

Photoactive RNA probes have unique advantages in the identification of microRNA (miR) targets due to their ability for efficient conjugation to the target sequences by covalent crosslinking, providing stable miR-mRNA complexes for further analysis. Here, we report a highly efficient and straightforward method for miR target identification that is based on photo-reactive chemical probes and RNA-seq technology (denotes PCP-Seq). UV reactive probes were prepared by incorporating psoralen in the specific position of the seed sequence of miR. Cancer cells that were transfected with the miR probes were treated with UV, following the isolation of poly(A) RNA and sequencing of the transcriptome. Quantitative analysis of RNA-seq reads and subsequent validation by qPCR, dual luciferase assay as well as western blotting confirmed that PCP-Seq could highly efficiently identify multiple targets of different miRs in the lung cancer cell line, such as targets PTTG1 and PTGR1 of miR-29a and ILF2 of miR-34a. Collectively, our data showed that PCP-Seq is a robust strategy for miR targets identification, and unique in the identification of the targets that escape degradation by miRISC and maintain normal cellular level, although their translation is repressed.

摘要

光反应性 RNA 探针在 miRNA(miR)靶标识别中具有独特的优势,因为它们能够通过共价交联有效地与靶序列连接,为进一步分析提供稳定的 miR-mRNA 复合物。在这里,我们报告了一种基于光反应性化学探针和 RNA-seq 技术(表示为 PCP-Seq)的高效、直接的 miR 靶标识别方法。通过在 miR 种子序列的特定位置掺入补骨脂素来制备光反应性探针。用 miR 探针转染的癌细胞用 UV 处理,然后分离 poly(A) RNA 并对转录组进行测序。对 RNA-seq 读数的定量分析以及随后通过 qPCR、双荧光素酶测定和 Western blot 进行的验证证实,PCP-Seq 可以非常有效地识别肺癌细胞系中不同 miR 的多个靶标,例如 miR-29a 的 PTTG1 和 PTGR1 以及 miR-34a 的 ILF2。总之,我们的数据表明 PCP-Seq 是一种用于 miR 靶标识别的强大策略,并且在识别逃避 miRISC 降解并保持正常细胞水平的靶标方面具有独特性,尽管它们的翻译受到抑制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82a0/7073161/66afc556efd9/ijms-21-01545-g001.jpg

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