A Technical Evaluation of Plasma Proteomics Technologies

蛋白质组学 等离子体 计算机科学 化学 物理 核物理学 生物化学 基因
作者
William Beimers,Katherine A. Overmyer,Pavel Sinitcyn,Noah M. Lancaster,Scott T. Quarmby,Joshua J. Coon
标识
DOI:10.1101/2025.01.08.632035
摘要

Plasma proteomic technologies are rapidly evolving and of critical importance to the field of biomedical research. Here we report a technical evaluation of six notable plasma proteomic technologies - unenriched (Neat), Acid depletion, PreOmics ENRICHplus, Mag-Net, Seer Proteograph XT, Olink Explore HT. The methods were compared on proteomic depth, reproducibility, linearity, tolerance to lipid interference, and limit of detection/quantification. In total we performed 618 LC-MS/MS experiments and 93 Olink Explore HT assays. The Seer method achieved the greatest proteomic depth (∼4,500), while Olink detected ∼2,600 proteins. Other MS-based methods ranged from ∼500-2,200. Neat, Mag-Net, Seer, and Olink had strong reproducibility, while PreOmics and Acid showed higher variability. All MS methods showed good linearity with spiked-in C-Reactive Protein (CRP); CRP was surprisingly not in the Olink assay. None of the methods were affected by lipid interference. Seer had more than double the number of quantifiable proteins (4,800) for both LOD and LOQ than the next best method. Olink was comparable to Neat and Mag-Net for LOD, but worse for LOQ. Finally, we tested the applicability of these methods for detecting differences between healthy and cancer groups in a non-small cell lung cancer (NSCLC) cohort.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
1秒前
1秒前
2秒前
2秒前
小林不打烊完成签到,获得积分10
2秒前
华仔应助xzh采纳,获得10
3秒前
卷王完成签到,获得积分10
3秒前
3秒前
猪猪hero发布了新的文献求助10
3秒前
呼了个呼发布了新的文献求助10
4秒前
搜集达人应助LUOYI采纳,获得30
4秒前
迷路尔槐发布了新的文献求助10
4秒前
赵yy应助Feegood采纳,获得10
5秒前
一期一会发布了新的文献求助10
5秒前
文艺寒香发布了新的文献求助10
5秒前
5秒前
李子完成签到,获得积分10
5秒前
科研通AI2S应助niko采纳,获得10
5秒前
传奇3应助niko采纳,获得10
5秒前
daisy完成签到,获得积分20
5秒前
打打应助niko采纳,获得10
5秒前
思源应助niko采纳,获得10
5秒前
SciGPT应助niko采纳,获得10
5秒前
天涯茗玥完成签到,获得积分10
5秒前
慕青应助niko采纳,获得10
5秒前
乐乐应助niko采纳,获得10
5秒前
科研通AI6应助niko采纳,获得10
5秒前
斯文败类应助niko采纳,获得10
5秒前
布曲发布了新的文献求助10
6秒前
6秒前
脑洞疼应助女神金采纳,获得10
6秒前
ding应助科研通管家采纳,获得10
6秒前
yufanhui应助科研通管家采纳,获得10
6秒前
6秒前
今后应助科研通管家采纳,获得10
6秒前
共享精神应助科研通管家采纳,获得10
6秒前
6秒前
子车茗应助科研通管家采纳,获得10
6秒前
6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
List of 1,091 Public Pension Profiles by Region 1581
Encyclopedia of Agriculture and Food Systems Third Edition 1500
Specialist Periodical Reports - Organometallic Chemistry Organometallic Chemistry: Volume 46 1000
Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) 800
The Scope of Slavic Aspect 600
Foregrounding Marking Shift in Sundanese Written Narrative Segments 600
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5531486
求助须知:如何正确求助?哪些是违规求助? 4620295
关于积分的说明 14572638
捐赠科研通 4559928
什么是DOI,文献DOI怎么找? 2498650
邀请新用户注册赠送积分活动 1478588
关于科研通互助平台的介绍 1449980