基于毛细管微采样的单细胞代谢组学质谱分析及其在医学和药物发现中的应用。

IF 1.9 4区 医学 Q3 ONCOLOGY Cancer Biomarkers Pub Date : 2022-04-18 DOI:10.3233/cbm-210184
Yasmine Abouleila, Ahmed Ali, Keiko Masuda, A. Mashaghi, Yoshihiro Shimizu
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引用次数: 0

摘要

细胞代谢状态的表征是生物医学领域的一个技术挑战。细胞异质性是由代谢酶表达的内在多样性或代谢反应对扰动的敏感性引起的,需要对代谢进行单细胞分析。异质性在癌症中很常见,因此,单细胞代谢组学有望在研究癌症进展、转移和癌症药物反应的变化方面发挥作用。然而,低样本量和分析物浓度限制了至关重要的代谢物的检测。基于毛细管微采样的质谱分析方法正在成为实现单细胞组学的一种有前途的解决方案。在此,我们重点介绍了基于毛细管微采样的单细胞代谢组学质谱技术的最新进展。我们讨论了癌症医学和药物发现的最新技术发展和应用。
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Capillary microsampling-based single-cell metabolomics by mass spectrometry and its applications in medicine and drug discovery.
Characterization of cellular metabolic states is a technical challenge in biomedicine. Cellular heterogeneity caused by inherent diversity in expression of metabolic enzymes or due to sensitivity of metabolic reactions to perturbations, necessitates single cell analysis of metabolism. Heterogeneity is typically seen in cancer and thus, single-cell metabolomics is expectedly useful in studying cancer progression, metastasis, and variations in cancer drug response. However, low sample volumes and analyte concentrations limit detection of critically important metabolites. Capillary microsampling-based mass spectrometry approaches are emerging as a promising solution for achieving single-cell omics. Herein, we focus on the recent advances in capillary microsampling-based mass spectrometry techniques for single-cell metabolomics. We discuss recent technical developments and applications to cancer medicine and drug discovery.
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来源期刊
Cancer Biomarkers
Cancer Biomarkers ONCOLOGY-
CiteScore
5.20
自引率
3.20%
发文量
195
审稿时长
3 months
期刊介绍: Concentrating on molecular biomarkers in cancer research, Cancer Biomarkers publishes original research findings (and reviews solicited by the editor) on the subject of the identification of markers associated with the disease processes whether or not they are an integral part of the pathological lesion. The disease markers may include, but are not limited to, genomic, epigenomic, proteomics, cellular and morphologic, and genetic factors predisposing to the disease or indicating the occurrence of the disease. Manuscripts on these factors or biomarkers, either in altered forms, abnormal concentrations or with abnormal tissue distribution leading to disease causation will be accepted.
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