Mass Spectrometry and Proteomics Resource Laboratory (MSPRL), FAS Division of Science, Harvard University, Cambridge, Massachusetts, USA.
Informatics and Scientific Applications Group, FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts, USA.
Proteomics. 2022 May;22(9):e2100265. doi: 10.1002/pmic.202100265. Epub 2022 Feb 9.
Pluripotent stem cells (PSC) endocrine differentiation at a large scale allows sampling of transcriptome and proteome with phosphoproteome (proteoform) at specific time points. We describe the dynamic time course of changes in cells undergoing directed beta-cell differentiation and show target proteins or previously unknown phosphorylation of critical proteins in pancreas development, NKX6-1, and Chromogranin A (CHGA). We describe fluctuations in the correlation between gene expression, protein abundance, and phosphorylation, following differentiation protocol perturbations at all stages to identify proteoform profiles. Our modeling recognizes outliers on a phenomic landscape of endocrine differentiation, and we describe new biological pathways involved. We have validated our proteomic data by analyzing independent single-cell RNAseq datasets for in-vitro pancreatic islet production and corroborated our findings for several proteins suggestive as targets for future research. The single-cell analysis combined with proteoform data places new protein targets within the specific time point and at the specific pancreatic lineage of differentiating stem cells. We suggest that non-correlating proteins abundances or new phosphorylation motifs of NKX6.1 and CHGA point to new signaling pathways that may play an essential role in beta-cell development. We present our findings for the research community's use to improve endocrine differentiation protocols and developmental studies.
多能干细胞 (PSC) 的内分泌分化可大规模采样转录组和蛋白质组,并在特定时间点进行磷酸化蛋白质组 (蛋白质异构体) 采样。我们描述了在定向β细胞分化过程中细胞变化的动态时间过程,并显示了胰腺发育、NKX6-1 和嗜铬粒蛋白 A (CHGA) 中关键蛋白质的靶蛋白或以前未知的磷酸化。我们描述了在分化方案扰动的所有阶段,随着基因表达、蛋白质丰度和磷酸化之间相关性的变化,以确定蛋白质异构体谱。我们的建模在内分泌分化的表型景观上识别出离群值,并描述了涉及的新生物学途径。我们通过分析体外胰岛产生的独立单细胞 RNAseq 数据集验证了我们的蛋白质组学数据,并证实了我们对几个有希望作为未来研究目标的蛋白质的发现。单细胞分析结合蛋白质异构体数据将新的蛋白质靶标置于特定的时间点和分化干细胞的特定胰腺谱系内。我们认为,NKX6.1 和 CHGA 的非相关蛋白质丰度或新磷酸化模式表明,新的信号通路可能在β细胞发育中发挥重要作用。我们为研究界提供了这些发现,以改进内分泌分化方案和发育研究。