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杂交体的交联连接与测序(qCLASH)揭示了黑色素瘤细胞中一个意想不到的miRNA靶标组。

Cross-Linking Ligation and Sequencing of Hybrids (qCLASH) Reveals an Unpredicted miRNA Targetome in Melanoma Cells.

作者信息

Kozar Ines, Philippidou Demetra, Margue Christiane, Gay Lauren A, Renne Rolf, Kreis Stephanie

机构信息

Department of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, L-4367 Belvaux, Luxembourg.

Department of Molecular Genetics and Microbiology, University of Florida, 1200 Newell Drive, Gainesville, FL 32610, USA.

出版信息

Cancers (Basel). 2021 Mar 4;13(5):1096. doi: 10.3390/cancers13051096.

DOI:10.3390/cancers13051096
PMID:33806450
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7961530/
Abstract

MicroRNAs are key post-transcriptional gene regulators often displaying aberrant expression patterns in cancer. As microRNAs are promising disease-associated biomarkers and modulators of responsiveness to anti-cancer therapies, a solid understanding of their targetome is crucial. Despite enormous research efforts, the success rates of available tools to reliably predict microRNAs (miRNA)-target interactions remains limited. To investigate the disease-associated miRNA targetome, we have applied modified cross-linking ligation and sequencing of hybrids (qCLASH) to BRAF-mutant melanoma cells. The resulting RNA-RNA hybrid molecules provide a comprehensive and unbiased snapshot of direct miRNA-target interactions. The regulatory effects on selected miRNA target genes in predicted vs. non-predicted binding regions was validated by miRNA mimic experiments. Most miRNA-target interactions deviate from the central dogma of miRNA targeting up to 60% interactions occur via non-canonical seed pairing with a strong contribution of the 3' miRNA sequence, and over 50% display a clear bias towards the coding sequence of mRNAs. miRNAs targeting the coding sequence can directly reduce gene expression (miR-34a/CD68), while the majority of non-canonical miRNA interactions appear to have roles beyond target gene suppression (miR-100/AXL). Additionally, non-mRNA targets of miRNAs (lncRNAs) whose interactions mainly occur via non-canonical binding were identified in melanoma. This first application of CLASH sequencing to cancer cells identified over 8 K distinct miRNA-target interactions in melanoma cells. Our data highlight the importance non-canonical interactions, revealing further layers of complexity of post-transcriptional gene regulation in melanoma, thus expanding the pool of miRNA-target interactions, which have so far been omitted in the cancer field.

摘要

微小RNA是关键的转录后基因调节因子,在癌症中常表现出异常的表达模式。由于微小RNA是很有前景的疾病相关生物标志物以及抗癌治疗反应的调节因子,因此深入了解它们的靶标组至关重要。尽管进行了大量研究,但可靠预测微小RNA(miRNA)-靶标相互作用的现有工具的成功率仍然有限。为了研究与疾病相关的miRNA靶标组,我们将改良的杂交交联连接和测序(qCLASH)应用于BRAF突变的黑色素瘤细胞。由此产生的RNA-RNA杂交分子提供了直接miRNA-靶标相互作用的全面且无偏差的概况。通过miRNA模拟实验验证了对预测和非预测结合区域中选定miRNA靶基因的调节作用。大多数miRNA-靶标相互作用偏离了miRNA靶向的中心法则,高达60%的相互作用通过非经典种子配对发生,3'miRNA序列起了很大作用,超过50%的相互作用对mRNA的编码序列有明显偏好。靶向编码序列的miRNA可以直接降低基因表达(miR-34a/CD68),而大多数非经典miRNA相互作用似乎具有超出靶基因抑制的作用(miR-100/AXL)。此外,在黑色素瘤中还鉴定出了miRNA的非mRNA靶标(lncRNA),其相互作用主要通过非经典结合发生。CLASH测序首次应用于癌细胞,在黑色素瘤细胞中鉴定出超过8K种不同的miRNA-靶标相互作用。我们的数据突出了非经典相互作用的重要性,揭示了黑色素瘤转录后基因调控的进一步复杂层面,从而扩大了迄今为止在癌症领域被忽视的miRNA-靶标相互作用库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/6c17e11df6a8/cancers-13-01096-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/c40ed00aa7d9/cancers-13-01096-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/6b9ffb27e899/cancers-13-01096-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/3ab2ef8eb76e/cancers-13-01096-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/b5bb4dcd3320/cancers-13-01096-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/4b8a76d63240/cancers-13-01096-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/33af348726b2/cancers-13-01096-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/2685c0855a62/cancers-13-01096-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/6dec4f546c21/cancers-13-01096-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/51c20d60c659/cancers-13-01096-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/6c17e11df6a8/cancers-13-01096-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/c40ed00aa7d9/cancers-13-01096-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/6b9ffb27e899/cancers-13-01096-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/3ab2ef8eb76e/cancers-13-01096-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/b5bb4dcd3320/cancers-13-01096-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/4b8a76d63240/cancers-13-01096-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/33af348726b2/cancers-13-01096-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/2685c0855a62/cancers-13-01096-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/6dec4f546c21/cancers-13-01096-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/51c20d60c659/cancers-13-01096-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fd8/7961530/6c17e11df6a8/cancers-13-01096-g010.jpg

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