蛋白质组
蛋白质组学
疾病
计算生物学
人类蛋白质组计划
生物
图谱
表型
仿形(计算机编程)
临床表型
生物信息学
数据科学
医学
蛋白质表达
计算机科学
遗传学
病理
基因
操作系统
作者
María Bueno Álvez,Sofia Bergström,Josefin Kenrick,Emil Johansson,Mikael Åberg,Murat Akyıldız,Ozlem Altay,Helén Nilsson Sköld,Κωνσταντίνος Αντωνόπουλος,Emmanouil Apostolakis,Yasin Hasan Balcıoğlu,Anna Bergström,Göran Bergström,Sophia Björkander,Søren Brage,Petter Brodin,Lynn M. Butler,Sara Cajander,Hanna Danielsson,Murat Dayangaç
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2025-10-09
标识
DOI:10.1126/science.adx2678
摘要
The human blood proteome provides a holistic readout of health states through the assessment of thousands of circulating proteins. Here, we present a pan-disease resource to enable the study of diverse disease phenotypes within a harmonized proteomics dataset. By profiling protein concentrations across 59 diseases and healthy cohorts, we identified proteins associated with age, sex, and BMI, as well as disease-specific signatures. This study highlights shared and distinct protein patterns across conditions, demonstrating the power of a unified proteomics approach to uncover biological insights. The dataset, covering 8,262 individuals and up to 5,416 proteins, serves as an online resource for exploring disease-specific protein profiles and advancing precision medicine research.
科研通智能强力驱动
Strongly Powered by AbleSci AI