Recent Progress in Prompt Molecular Detection of Exosomes Using CRISPR/Cas and Microfluidic‐Assisted Approaches Toward Smart Cancer Diagnosis and Analysis

微泡 清脆的 癌症 计算生物学 癌细胞 生物标志物 细胞外小泡 癌症生物标志物 外体 微流控 基因组编辑 纳米技术 生物 生物信息学 计算机科学 小RNA 基因 细胞生物学 材料科学 遗传学
作者
Seyyed Mojtaba Mousavi,Seyyed Alireza Hashemi,Masoomeh Yari Kalashgrani,Vahid Rahmanian,Masoud Riazi,Navid Omidifar,Raed H. Althomali,Mohammed M. Rahman,Wei‐Hung Chiang,Ahmad Gholami
出处
期刊:ChemMedChem [Wiley]
卷期号:19 (1) 被引量:2
标识
DOI:10.1002/cmdc.202300359
摘要

Abstract Exosomes are essential indicators of molecular mechanisms involved in interacting with cancer cells and the tumor environment. As nanostructures based on lipids and nucleic acids, exosomes provide a communication pathway for information transfer by transporting biomolecules from the target cell to other cells. Importantly, these extracellular vesicles are released into the bloodstream by the most invasive cells, i. e., cancer cells; in this way, they could be considered a promising specific biomarker for cancer diagnosis. In this matter, CRISPR‐Cas systems and microfluidic approaches could be considered practical tools for cancer diagnosis and understanding cancer biology. CRISPR‐Cas systems, as a genome editing approach, provide a way to inactivate or even remove a target gene from the cell without affecting intracellular mechanisms. These practical systems provide vital information about the factors involved in cancer development that could lead to more effective cancer treatment. Meanwhile, microfluidic approaches can also significantly benefit cancer research due to their proper sensitivity, high throughput, low material consumption, low cost, and advanced spatial and temporal control. Thereby, employing CRISPR‐Cas‐ and microfluidics‐based approaches toward exosome monitoring could be considered a valuable source of information for cancer therapy and diagnosis. This review assesses the recent progress in these promising diagnosis approaches toward accurate cancer therapy and in‐depth study of cancer cell behavior.
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