Multi-omic profiling of primary mouse neutrophils predicts a pattern of sex and age-related functional regulation

对小鼠原代中性粒细胞进行多组学分析,预测其功能调控模式与性别和年龄相关。

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作者:Ryan J Lu ,Shalina Taylor ,Kévin Contrepois ,Minhoo Kim ,Juan I Bravo ,Mathew Ellenberger ,Nirmal K Sampathkumar ,Bérénice A Benayoun

Abstract

Neutrophils are the most abundant human white blood cell and constitute a first line of defense in the innate immune response. Neutrophils are short-lived cells, and thus the impact of organismal aging on neutrophil biology, especially as a function of biological sex, remains poorly understood. Here, we describe a multi-omic resource of mouse primary bone marrow neutrophils from young and old female and male mice, at the transcriptomic, metabolomic and lipidomic levels. We identify widespread regulation of neutrophil 'omics' landscapes with organismal aging and biological sex. In addition, we leverage our resource to predict functional differences, including changes in neutrophil responses to activation signals. To date, this dataset represents the largest multi-omics resource for neutrophils across sex and ages. This resource identifies neutrophil characteristics which could be targeted to improve immune responses as a function of sex and/or age.

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