Unveiling roles of non-coding RNAs in cancer through advanced technologies.

IF 1.4 4区生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Quantitative Biology Pub Date : 2025-12-01 Epub Date: 2025-04-20 DOI:10.1002/qub2.70005

Runhao Wang, Leng Han

引用次数: 0

Abstract

Non-coding RNAs (ncRNAs) have emerged as key regulators in tumorigenesis. In this perspective, we briefly review the significance of ncRNA in cancer biology and highlight recent technological advancements in characterization of ncRNA in cancer research. Specifically, we discuss how these advanced approaches, such as Patho-DBiT, CRISPR screens, and snoKARR-seq, hold the potential to revolutionize ncRNA research by offering comprehensive insights into their spatial expression patterns and functional roles.

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通过先进技术揭示非编码rna在癌症中的作用。

非编码rna （ncRNAs）已成为肿瘤发生的关键调控因子。从这个角度来看，我们简要回顾了ncRNA在癌症生物学中的意义，并重点介绍了癌症研究中ncRNA表征的最新技术进展。具体来说，我们讨论了这些先进的方法，如病理dbit、CRISPR筛选和snoKARR-seq，如何通过全面了解ncRNA的空间表达模式和功能角色，从而有可能彻底改变ncRNA的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Quantitative Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

5.00

自引率

3.20%

发文量

264

期刊介绍： Quantitative Biology is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems. It is a quarterly journal seeking to provide an inter- and multi-disciplinary forum for a broad blend of peer-reviewed academic papers in order to promote rapid communication and exchange between scientists in the East and the West. The content of Quantitative Biology will mainly focus on the two broad and related areas: ·bioinformatics and computational biology, which focuses on dealing with information technologies and computational methodologies that can efficiently and accurately manipulate –omics data and transform molecular information into biological knowledge. ·systems and synthetic biology, which focuses on complex interactions in biological systems and the emergent functional properties, and on the design and construction of new biological functions and systems. Its goal is to reflect the significant advances made in quantitatively investigating and modeling both natural and engineered life systems at the molecular and higher levels. The journal particularly encourages original papers that link novel theory with cutting-edge experiments, especially in the newly emerging and multi-disciplinary areas of research. The journal also welcomes high-quality reviews and perspective articles.