蛋白质组
生物标志物发现
代谢组
离心
血液蛋白质类
色谱法
化学
生物标志物
全血
计算生物学
蛋白质组学
代谢组学
生物
生物化学
免疫学
基因
作者
Maria E. Hassis,Richard K. Niles,Miles N. Braten,Matthew E. Albertolle,H. Ewa Witkowska,Carl A. Hubel,Susan J. Fisher,Katherine Williams
标识
DOI:10.1016/j.ab.2015.03.003
摘要
High quality clinical biospecimens are vital for biomarker discovery, verification, and validation. Variations in blood processing and handling can affect protein abundances and assay reliability. Using an untargeted LC-MS approach, we systematically measured the impact of preanalytical variables on the plasma proteome. Time prior to processing was the only variable that affected the plasma protein levels. LC-MS quantification showed that preprocessing times <6 h had minimal effects on the immunodepleted plasma proteome, but by 4 days significant changes were apparent. Elevated levels of many proteins were observed, suggesting that in addition to proteolytic degradation during the preanalytical phase, changes in protein structure are also important considerations for protocols using antibody depletion. As to processing variables, a comparison of single- vs double-spun plasma showed minimal differences. After processing, the impact ⩽3 freeze–thaw cycles was negligible regardless of whether freshly collected samples were processed in short succession or the cycles occurred during 14–17 years of frozen storage (−80 °C). Thus, clinical workflows that necessitate modest delays in blood processing times or employ different centrifugation steps can yield valuable samples for biomarker discovery and verification studies.
科研通智能强力驱动
Strongly Powered by AbleSci AI