Live-cell omics with Raman spectroscopy.

Ken-Ichiro F Kamei, Yuichi Wakamoto
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Abstract

Genome-wide profiling of gene expression levels in cells, such as transcriptomics and proteomics, is a powerful experimental approach in modern biology, allowing not only efficient exploration of the genetic elements responsible for biological phenomena of interest, but also characterization of the global constraints behind plastic phenotypic changes of cells that accompany large-scale remodeling of omics profiles. To understand how individual cells change their molecular profiles to achieve specific phenotypic changes in phenomena such as differentiation, cancer metastasis and adaptation, it is crucial to characterize the dynamics of cellular phenotypes and omics profiles simultaneously at the single-cell level. Especially in the last decade, significant technical progress has been made in the in situ identification of omics profiles of cells on the microscope. However, most approaches still remain destructive and cannot unravel the post-measurement dynamics. In recent years, Raman spectroscopy-based methods for omics inference have emerged, allowing the characterization of genome-wide molecular profile dynamics in living cells. In this review, we give a brief overview of the recent development of imaging-based omics profiling methods. We then present the approach to infer omics profiles from single-cell Raman spectra. Since Raman spectra can be obtained from living cells in a non-destructive and non-staining manner, this method may open the door to live-cell omics.

拉曼光谱的活细胞组学。
细胞中基因表达水平的全基因组图谱,如转录组学和蛋白质组学,是现代生物学中一种强大的实验方法,不仅允许有效地探索负责感兴趣的生物现象的遗传元件,而且还允许描述伴随组学图谱大规模重塑的细胞塑性表型变化背后的全球限制。为了了解单个细胞如何改变其分子谱以实现分化,癌症转移和适应等现象的特定表型变化,在单细胞水平上同时表征细胞表型和组学谱的动力学至关重要。特别是近十年来,在显微镜下原位鉴定细胞组学图谱方面取得了重大的技术进步。然而,大多数方法仍然是破坏性的,不能解开测量后的动态。近年来,基于拉曼光谱的组学推断方法已经出现,可以表征活细胞中全基因组的分子谱动态。在这篇综述中,我们简要概述了基于成像的组学分析方法的最新发展。然后,我们提出了从单细胞拉曼光谱推断组学概况的方法。由于拉曼光谱可以以非破坏性和非染色的方式从活细胞中获得,因此该方法可能为活细胞组学打开大门。
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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