Abstract 4616: Detection of phosphorylated biomarkers in clinical blood samples: a flow cytometry platform utilizing smart tube fixation

流式细胞术 固定(群体遗传学) 医学 血流 细胞仪 生物医学工程 磷酸化 病理 化学 免疫学 内科学 生物化学 人口 环境卫生
作者
Valerie Oberhardt,Philipp Metzger,Carla N. Castro,Holger Weber
出处
期刊:Cancer Research [American Association for Cancer Research]
卷期号:85 (8_Supplement_1): 4616-4616
标识
DOI:10.1158/1538-7445.am2025-4616
摘要

Abstract The identification and quantification of biomarkers in clinical blood samples play a pivotal role in personalized medicine, enabling disease monitoring and therapeutic assessment. Protein phosphorylation, a key post-translational modification, reflects cellular signaling in immune or tumor cells. To exploit this, we developed a platform detecting phosphorylation states of key signaling proteins from clinical blood samples via flow cytometry. Our approach analyzes phosphorylated STAT5 (pSTAT5), ERK1/2 (pERK1/2), and p38 (p-p38), vital components in immune regulation and cancer progression. A major challenge in the analysis of phosphorylated proteins is the rapid degradation or change in phosphorylation state ex vivo, which requires immediate stabilization of samples after collection. To solve this problem, we use Smart Tubes, which enable rapid fixation of clinical blood samples and preserve the phosphorylation state upon collection, ensuring signal integrity and minimizing variability. Sample collection with Smart Tubes requires no technical equipment and can be easily implemented and standardized at any clinical trial site. Our test system employs flow cytometry, enabling the analysis of linage-specific markers (e.g., T/B cells, monocytes) and phospho-specific antibodies to quantitatively detect pSTAT5, pERK1/2, and p-p38 in peripheral blood mononuclear cell (PBMCs) subpopulations. Validation experiments with specific inhibitors demonstrate sensitivity and specificity in detecting these phosphorylated targets, even in heterogeneous cell populations within blood samples. The method allows for its application across a range of clinical conditions, from cancer immunotherapy monitoring to autoimmune disease characterization. By integrating rapid sample fixation with advanced analytical techniques, this platform addresses key challenges in analyzing phosphorylated biomarkers in clinical samples. The use of flow cytometry as the central analytical tool enables single-cell resolution, allowing detailed investigation of individual cell populations within complex samples by differential marker expression. This precision makes it possible to differentiate and study specific subpopulations of immune cells or circulating tumor cells, within a heterogeneous sample. The ability to preserve and accurately measure phosphorylation states directly in patient-derived samples provides invaluable insights into real-time cellular signaling and facilitates the optimization of therapeutic strategies targeting dysregulated signaling pathways. In summary, our system can detect phosphorylated proteins in clinical samples, with Smart Tubes ensuring sample stability and reliable biomarker analysis, advancing translational research and precision medicine. Citation Format: Valerie Oberhardt, Philipp Metzger, Carla N. Castro, Holger Weber. Detection of phosphorylated biomarkers in clinical blood samples: a flow cytometry platform utilizing smart tube fixation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 4616.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
鳗鱼聪健完成签到,获得积分10
1秒前
丁真人发布了新的文献求助30
1秒前
1秒前
1秒前
SciGPT应助王贺采纳,获得10
2秒前
天阳发布了新的文献求助10
2秒前
feifei发布了新的文献求助10
4秒前
XIAOBAI发布了新的文献求助10
4秒前
4秒前
Strongly发布了新的文献求助10
5秒前
王彬完成签到,获得积分10
5秒前
shiyi0709完成签到,获得积分10
5秒前
资山兰应助何洁采纳,获得30
6秒前
SNE完成签到,获得积分10
6秒前
科研通AI6.2应助呆萌树叶采纳,获得10
7秒前
蓝天应助明理映真采纳,获得10
8秒前
热心市民小杨应助何耀荣采纳,获得10
8秒前
8秒前
圆圆完成签到,获得积分10
8秒前
xxguge完成签到 ,获得积分10
8秒前
8秒前
8秒前
幻空发布了新的文献求助10
8秒前
9秒前
大男完成签到,获得积分10
9秒前
9秒前
11秒前
繁星完成签到,获得积分10
11秒前
xlk2222完成签到,获得积分10
11秒前
Lucas应助隐形期待采纳,获得10
11秒前
12秒前
小马甲应助小小采纳,获得10
13秒前
科研通AI6.1应助SNE采纳,获得30
13秒前
鳗鱼聪健发布了新的文献求助10
13秒前
牛牛发布了新的文献求助20
14秒前
圣泽同学完成签到,获得积分10
15秒前
王贺发布了新的文献求助10
15秒前
领导范儿应助sakkaku采纳,获得10
16秒前
17秒前
白ge发布了新的文献求助10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6019311
求助须知:如何正确求助?哪些是违规求助? 7613052
关于积分的说明 16161875
捐赠科研通 5167111
什么是DOI,文献DOI怎么找? 2765589
邀请新用户注册赠送积分活动 1747333
关于科研通互助平台的介绍 1635572