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单细胞化学蛋白质组学鉴定乳腺癌转移活性特征。

Single-cell chemoproteomics identifies metastatic activity signatures in breast cancer.

机构信息

Department of Chemistry, The University of Chicago, Chicago, IL 60637, USA.

Institute for Genomics and Systems Biology, The University of Chicago, Chicago, IL 60637, USA.

出版信息

Sci Adv. 2024 Oct 25;10(43):eadp2622. doi: 10.1126/sciadv.adp2622. Epub 2024 Oct 23.

Abstract

Protein activity state, rather than protein or mRNA abundance, is a biologically regulated and relevant input to many processes in signaling, differentiation, development, and diseases such as cancer. While there are numerous methods to detect and quantify mRNA and protein abundance in biological samples, there are no general approaches to detect and quantify endogenous protein activity with single-cell resolution. Here, we report the development of a chemoproteomic platform, single-cell activity-dependent proximity ligation, which uses automated, microfluidics-based single-cell capture and nanoliter volume manipulations to convert the interactions of family-wide chemical activity probes with native protein targets into multiplexed, amplifiable oligonucleotide barcodes. We demonstrate accurate, reproducible, and multiplexed quantitation of a six-enzyme (Ag-6) panel with known ties to cancer cell aggressiveness directly in single cells. We further identified increased Ag-6 enzyme activity across breast cancer cell lines of increasing metastatic potential, as well as in primary patient-derived tumor cells and organoids from patients with breast cancer.

摘要

蛋白质的活性状态,而不是蛋白质或 mRNA 的丰度,是信号转导、分化、发育和癌症等疾病过程中许多生物学调节和相关的输入。虽然有许多方法可以检测和定量生物样本中的 mRNA 和蛋白质丰度,但没有通用的方法可以以单细胞分辨率检测和定量内源性蛋白质活性。在这里,我们报告了一种化学蛋白质组学平台的开发,即单细胞活性依赖性邻近连接,它使用自动化的基于微流控的单细胞捕获和纳升级体积操作,将广谱化学活性探针与天然蛋白质靶标的相互作用转化为可扩增的寡核苷酸条码的多重分析。我们直接在单个细胞中证明了具有已知与癌细胞侵袭性联系的六种酶(Ag-6)面板的准确、可重复和多重定量。我们还发现,在转移性逐渐增强的乳腺癌细胞系中,以及在原发性患者来源的肿瘤细胞和乳腺癌患者的类器官中,Ag-6 酶活性增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/702e/11498211/b5307d047e14/sciadv.adp2622-f1.jpg

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