Suppr超能文献

单细胞细胞内表位和转录本检测揭示信号转导动态。

Single-cell intracellular epitope and transcript detection reveals signal transduction dynamics.

机构信息

Institute for Molecules and Materials, Radboud University, Nijmegen 6525 AJ, the Netherlands.

Aduro Biotech, Oss 5349 AB, the Netherlands.

出版信息

Cell Rep Methods. 2021 Sep 15;1(5):100070. doi: 10.1016/j.crmeth.2021.100070. eCollection 2021 Sep 27.

Abstract

To further our understanding of how biochemical information flows through cells upon external stimulation, we require single-cell multi-omics methods that concurrently map changes in (phospho)protein levels across signaling networks and the associated gene expression profiles. Here, we present quantification of RNA and intracellular epitopes by sequencing (QuRIE-seq), a droplet-based platform for single-cell RNA and intra- and extracellular (phospho)protein quantification through sequencing. We applied QuRIE-seq to quantify cell-state changes at both the signaling and the transcriptome level after 2-, 4-, 6-, 60-, and 180-min stimulation of the B cell receptor pathway in Burkitt lymphoma cells. Using the multi-omics factor analysis (MOFA+) framework, we delineated changes in single-cell (phospho)protein and gene expression patterns over multiple timescales and revealed the effect of an inhibitory drug (ibrutinib) on signaling and gene expression landscapes.

摘要

为了进一步了解细胞在外部刺激下的生化信息如何传递,我们需要单细胞多组学方法,能够同时绘制信号网络中(磷酸化)蛋白水平的变化以及相关的基因表达谱。在这里,我们提出了通过测序进行 RNA 和细胞内表位定量(QuRIE-seq),这是一种基于液滴的单细胞 RNA 以及细胞内和细胞外(磷酸化)蛋白定量的测序平台。我们应用 QuRIE-seq 来量化 Burkitt 淋巴瘤细胞中 B 细胞受体通路在 2、4、6、60 和 180 分钟刺激后在信号和转录组水平上的细胞状态变化。使用多组学因子分析(MOFA+)框架,我们描绘了单细胞(磷酸化)蛋白和基因表达模式在多个时间尺度上的变化,并揭示了一种抑制性药物(依鲁替尼)对信号和基因表达图谱的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac8a/9017125/1b23860743c2/fx1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验