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深入分析黑色素瘤中的 microRNA 转录组。

In-depth characterization of microRNA transcriptome in melanoma.

机构信息

Department of Genetics and Developmental Biology, University of Connecticut Health Center, Farmington, Connecticut, United States of America ; Department of Computer Science and Engineering, University of Connecticut, Storrs, Connecticut, United States of America.

出版信息

PLoS One. 2013 Sep 4;8(9):e72699. doi: 10.1371/journal.pone.0072699. eCollection 2013.

Abstract

The full repertoire of human microRNAs (miRNAs) that could distinguish common (benign) nevi from cutaneous (malignant) melanomas remains to be established. In an effort to gain further insight into the role of miRNAs in melanoma, we applied Illumina next-generation sequencing (NGS) platform to carry out an in-depth analysis of miRNA transcriptome in biopsies of nevi, thick primary (>4.0 mm) and metastatic melanomas with matched normal skin in parallel to melanocytes and melanoma cell lines (both primary and metastatic) (n=28). From this data representing 698 known miRNAs, we defined a set of top-40 list, which properly classified normal from cancer; also confirming 23 (58%) previously discovered miRNAs while introducing an additional 17 (42%) known and top-15 putative novel candidate miRNAs deregulated during melanoma progression. Surprisingly, the miRNA signature distinguishing specimens of melanoma from nevus was significantly different than that of melanoma cell lines from melanocytes. Among the top list, miR-203, miR-204-5p, miR-205-5p, miR-211-5p, miR-23b-3p, miR-26a-5p and miR-26b-5p were decreased in melanomas vs. nevi. In a validation cohort (n=101), we verified the NGS results by qRT-PCR and showed that receiver-operating characteristic curves for miR-211-5p expression accurately discriminated invasive melanoma (AUC=0.933), melanoma in situ (AUC=0.933) and dysplastic (atypical) nevi (AUC=0.951) from common nevi. Target prediction analysis of co-transcribed miRNAs showed a cooperative regulation of key elements in the MAPK signaling pathway. Furthermore, we found extensive sequence variations (isomiRs) and other non-coding small RNAs revealing a complex melanoma transcriptome. Deep-sequencing small RNAs directly from clinically defined specimens provides a robust strategy to improve melanoma diagnostics.

摘要

人类 microRNAs(miRNAs)的完整谱可以区分常见(良性)痣与皮肤(恶性)黑素瘤,但尚未确定。为了进一步了解 miRNA 在黑色素瘤中的作用,我们应用 Illumina 下一代测序(NGS)平台对痣、厚原发性(>4.0 毫米)和转移性黑色素瘤活检组织中的 miRNA 转录组进行了深入分析,同时平行分析了黑素细胞和黑色素瘤细胞系(原发性和转移性)(n=28)的正常皮肤。从代表 698 种已知 miRNA 的这些数据中,我们定义了一个前 40 列表,该列表可以正确地将正常组织与癌症组织区分开来;同时还证实了 23 个(58%)先前发现的 miRNA,同时引入了另外 17 个(42%)已知的和前 15 个在黑色素瘤进展过程中失调的假定新型候选 miRNA。令人惊讶的是,区分黑素瘤与痣标本的 miRNA 特征与黑素细胞与黑色素瘤细胞系的 miRNA 特征明显不同。在该列表中,miR-203、miR-204-5p、miR-205-5p、miR-211-5p、miR-23b-3p、miR-26a-5p 和 miR-26b-5p 在黑色素瘤中与痣相比表达下调。在验证队列(n=101)中,我们通过 qRT-PCR 验证了 NGS 结果,并表明 miR-211-5p 表达的受试者工作特征曲线可以准确地区分侵袭性黑色素瘤(AUC=0.933)、原位黑色素瘤(AUC=0.933)和发育不良(非典型)痣(AUC=0.951)与常见痣。共转录 miRNA 的靶预测分析表明 MAPK 信号通路中的关键元件存在协同调控。此外,我们发现了广泛的序列变异(同型异构体)和其他非编码小 RNA,揭示了复杂的黑色素瘤转录组。直接从临床定义的标本中进行深度测序的小 RNA 为提高黑色素瘤诊断提供了一种强大的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e16d/3762816/41fbebd31e04/pone.0072699.g001.jpg

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