Proteomic Signatures in Extracellular Vesicles as Predictive Markers of Neural and Cardiac Differentiation from Human iPSCs.

Q3 Physics and Astronomy
Mass spectrometry Pub Date : 2026-01-01 Epub Date: 2026-07-17 DOI:10.5702/massspectrometry.A0197
Mei Mikami, Eri Katsuno, Shunsuke Hoshina, Kansei Takashita, Daisuke Takakura, Nana Kawasaki
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引用次数: 0

Abstract

Human induced pluripotent stem cell (iPSC)-derived neural cells (NCs) and cardiomyocytes (CMs) show significant promise for clinical applications in regenerative medicine. Because the manufacturing of iPSC-derived products faces challenges in quality reproducibility, cost, and manufacturing time, closed automated culture systems have been developed. Recently, an efficient and noninvasive cell monitoring system based on extracellular markers secreted by cells represents a new strategy for closed systems. Extracellular vesicles (EVs), secreted by cells, contain proteins involved in stem cell differentiation; however, EV proteins in the cell culture medium are difficult to analyze because of their low abundance. Thus, their changes during cell differentiation, and the relationship between EV and cell proteins, remain unclear. In this study, we investigated the changes in EV proteins during iPSC differentiation into NCs and CMs using data-independent acquisition LC/MS/MS (DIA-MS), a highly comprehensive and quantitative approach. We observed significant positive correlations between the EV protein abundance and cellular protein expression levels during differentiation on days 0-7, and identified signature proteins characteristic of NCs and CMs. Among these, trophoblast glycoprotein (TPBG) for NC differentiation and keratin, type I cytoskeletal 19 (KRT19) for CM differentiation were particularly increased in both cells and EVs. Moreover, TPBG and KRT19 levels at day 7 showed similar trends to the differences in differentiation observed among the cell lines, as determined by flow cytometry. These findings suggest that these EV proteins may serve as predictive markers for monitoring differentiation into NC and CM.

细胞外囊泡的蛋白质组学特征作为人类iPSCs神经和心脏分化的预测标志物。
人类诱导多能干细胞(iPSC)衍生的神经细胞(NCs)和心肌细胞(CMs)在再生医学中具有重要的临床应用前景。由于ipsc衍生产品的制造在质量、可重复性、成本和制造时间方面面临挑战,因此开发了封闭的自动化培养系统。近年来,一种基于细胞分泌的细胞外标记物的高效、无创细胞监测系统为封闭系统提供了一种新的监测策略。细胞外囊泡(EVs)由细胞分泌,含有参与干细胞分化的蛋白质;然而,细胞培养基中的EV蛋白由于其低丰度而难以分析。因此,它们在细胞分化过程中的变化以及它们与细胞蛋白之间的关系尚不清楚。在这项研究中,我们使用数据独立采集LC/MS/MS (DIA-MS),一种高度全面和定量的方法,研究了iPSC向nc和CMs分化过程中EV蛋白的变化。我们观察到,在分化的第0 ~ 7天,EV蛋白丰度与细胞蛋白表达水平呈显著正相关,并鉴定出nc和CMs的特征蛋白。其中,用于NC分化的滋养层糖蛋白(TPBG)和用于CM分化的角蛋白、I型细胞骨架19 (KRT19)在细胞和ev中均显著增加。此外,第7天的TPBG和KRT19水平与细胞系间分化差异的趋势相似,这是通过流式细胞术测定的。这些发现表明,这些EV蛋白可以作为监测向NC和CM分化的预测标记。
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
Mass spectrometry
Mass spectrometry Physics and Astronomy-Instrumentation
CiteScore
1.90
自引率
0.00%
发文量
3
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