胶质母细胞瘤
计算生物学
细胞
生物
计算机科学
癌症研究
遗传学
作者
Pranvera Sadiku,Alejandro J. Brenes,Rupert L. Mayer,Leila Reyes,Patrícia Coelho,Gabi van Stralen,Ailiang Zhang,Manuel A. Sánchez-García,Emily Watts,Imran Liaquat,Andrew J.M. Howden,Ikeoluwa Adekoya,Anuka Boldbaatar,Allan MacRaild,Sarah Risbridger,Gillian Morrison,Heather MacPherson,Can Bruce,Shonna Johnston,Robert Grecian
标识
DOI:10.1101/2025.07.23.666094
摘要
ABSTRACT Neutrophils are vital innate immune cells shown to infiltrate glioblastomas, however we currently lack the molecular understanding of their functional states within the tumour niche. Given that neutrophils are known to display a prominent discordance between mRNA and protein abundance, we developed ultra-sensitive mini-bulk and single cell proteomic (SCP) workflows to study the heterogeneity of peripheral blood and tumour associated neutrophils (TAN) from patients with glioblastoma. Mini-bulk analysis enabled a deeper protein coverage of circulating immature, mature and TAN populations, defining signatures of maturity and demonstrating that TANs resemble mature circulating neutrophils. Analysis of the SCP data resulted in the detection of >1,100 proteins from a single TAN providing a detailed characterization of neutrophil subsets in glioblastoma. Our approach shows evidence of pathogenic and anti-tumorigenic clusters and discovers cell states invisible to scRNAseq, opening new opportunities to selectively target pro-tumoural neutrophil states.
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