• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

邻近延伸分析与下一代测序相结合,实现高通量蛋白质组全分析。

Proximity Extension Assay in Combination with Next-Generation Sequencing for High-throughput Proteome-wide Analysis.

机构信息

Olink Proteomics, Uppsala, Sweden.

Olink Proteomics, Uppsala, Sweden.

出版信息

Mol Cell Proteomics. 2021;20:100168. doi: 10.1016/j.mcpro.2021.100168. Epub 2021 Oct 27.

DOI:10.1016/j.mcpro.2021.100168
PMID:34715355
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8633680/
Abstract

Understanding the dynamics of the human proteome is crucial for developing biomarkers to be used as measurable indicators for disease severity and progression, patient stratification, and drug development. The Proximity Extension Assay (PEA) is a technology that translates protein information into actionable knowledge by linking protein-specific antibodies to DNA-encoded tags. In this report we demonstrate how we have combined the unique PEA technology with an innovative and automated sample preparation and high-throughput sequencing readout enabling parallel measurement of nearly 1500 proteins in 96 samples generating close to 150,000 data points per run. This advancement will have a major impact on the discovery of new biomarkers for disease prediction and prognosis and contribute to the development of the rapidly evolving fields of wellness monitoring and precision medicine.

摘要

了解人类蛋白质组的动态对于开发生物标志物至关重要,这些生物标志物可作为衡量疾病严重程度和进展、患者分层以及药物开发的可测量指标。邻近延伸分析(PEA)是一种将蛋白质信息转化为可操作知识的技术,它将蛋白质特异性抗体与 DNA 编码标签连接起来。在本报告中,我们展示了如何将独特的 PEA 技术与创新的自动化样本制备和高通量测序读数相结合,从而能够在 96 个样本中同时测量近 1500 种蛋白质,每次运行生成近 150000 个数据点。这一进展将对疾病预测和预后新生物标志物的发现产生重大影响,并为健康监测和精准医学等快速发展领域的发展做出贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/dc5d6342f59d/figs1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/ca42dcd382fc/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/5372105e7783/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/1bf3ca0d38de/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/9490fae98e91/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/be71130422c8/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/fc5be0eb3b3d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/ecef54c15f14/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/1da43ccd4745/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/b927f82b00dd/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/dc5d6342f59d/figs1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/ca42dcd382fc/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/5372105e7783/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/1bf3ca0d38de/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/9490fae98e91/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/be71130422c8/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/fc5be0eb3b3d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/ecef54c15f14/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/1da43ccd4745/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/b927f82b00dd/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/488a/8633680/dc5d6342f59d/figs1.jpg

相似文献

1
Proximity Extension Assay in Combination with Next-Generation Sequencing for High-throughput Proteome-wide Analysis.邻近延伸分析与下一代测序相结合,实现高通量蛋白质组全分析。
Mol Cell Proteomics. 2021;20:100168. doi: 10.1016/j.mcpro.2021.100168. Epub 2021 Oct 27.
2
Next generation plasma proteome profiling to monitor health and disease.下一代血浆蛋白质组分析用于监测健康与疾病
Nat Commun. 2021 May 3;12(1):2493. doi: 10.1038/s41467-021-22767-z.
3
Plasma Protein Profiling by Proximity Extension Assay Technology Reveals Novel Biomarkers of Traumatic Brain Injury-A Pilot Study.利用邻近延伸分析技术进行血浆蛋白谱分析揭示创伤性脑损伤的新型生物标志物:一项初步研究。
J Appl Lab Med. 2021 Sep 1;6(5):1165-1178. doi: 10.1093/jalm/jfab004.
4
Multiplatform Approach for Plasma Proteomics: Complementarity of Olink Proximity Extension Assay Technology to Mass Spectrometry-Based Protein Profiling.多平台血浆蛋白质组学方法:Olink 邻近延伸分析技术与基于质谱的蛋白质分析的互补性。
J Proteome Res. 2021 Jan 1;20(1):751-762. doi: 10.1021/acs.jproteome.0c00641. Epub 2020 Nov 30.
5
Emerging Affinity-Based Proteomic Technologies for Large-Scale Plasma Profiling in Cardiovascular Disease.用于心血管疾病大规模血浆分析的基于亲和力的新兴蛋白质组学技术
Circulation. 2017 Apr 25;135(17):1651-1664. doi: 10.1161/CIRCULATIONAHA.116.025446.
6
Uncovering the Depths of the Human Proteome: Antibody-based Technologies for Ultrasensitive Multiplexed Protein Detection and Quantification.揭示人类蛋白质组的深度:基于抗体的超高灵敏度多重蛋白质检测和定量技术。
Mol Cell Proteomics. 2021;20:100155. doi: 10.1016/j.mcpro.2021.100155. Epub 2021 Sep 28.
7
High throughput and accurate serum proteome profiling by integrated sample preparation technology and single-run data independent mass spectrometry analysis.通过集成样本制备技术和单次运行数据独立质谱分析实现高通量和高准确度的血清蛋白质组分析。
J Proteomics. 2018 Mar 1;174:9-16. doi: 10.1016/j.jprot.2017.12.014. Epub 2017 Dec 24.
8
Quantitative proteomic analysis of human plasma using tandem mass tags to identify novel biomarkers for herpes zoster.采用串联质量标签的人血浆定量蛋白质组学分析,以鉴定带状疱疹的新型生物标志物。
J Proteomics. 2020 Aug 15;225:103879. doi: 10.1016/j.jprot.2020.103879. Epub 2020 Jun 30.
9
A MicroRNA Next-Generation-Sequencing Discovery Assay (miND) for Genome-Scale Analysis and Absolute Quantitation of Circulating MicroRNA Biomarkers.一种用于全基因组分析和循环 microRNA 生物标志物绝对定量的 microRNA 下一代测序发现分析(miND)。
Int J Mol Sci. 2022 Jan 22;23(3):1226. doi: 10.3390/ijms23031226.
10
NULISA: a proteomic liquid biopsy platform with attomolar sensitivity and high multiplexing.NULISA:一种具有阿伏伽德罗灵敏度和高多重检测能力的蛋白质组学液体活检平台。
Nat Commun. 2023 Nov 9;14(1):7238. doi: 10.1038/s41467-023-42834-x.

引用本文的文献

1
Deep learning integration of chest computed tomography and plasma proteomics to identify novel aspects of severe COVID-19 pneumonia.胸部计算机断层扫描与血浆蛋白质组学的深度学习整合,以识别重症 COVID-19 肺炎的新特征。
J Intensive Med. 2024 Dec 16;5(3):252-261. doi: 10.1016/j.jointm.2024.11.001. eCollection 2025 Jul.
2
Proteomic profiling and scRNA sequencing identify signatures associated with infection and risk of developing gastric cancer.蛋白质组学分析和单细胞RNA测序确定了与感染及患胃癌风险相关的特征。
Cancer Biol Med. 2025 Sep 4;22(8). doi: 10.20892/j.issn.2095-3941.2025.0077.
3
Targeted proteomic analysis identifies ACVRL1 as a marker of cerebral edema in aneurysmal subarachnoid hemorrhage.

本文引用的文献

1
Leflunomide-hydroxychloroquine combination therapy in patients with primary Sjögren's syndrome (RepurpSS-I): a placebo-controlled, double-blinded, randomised clinical trial.来氟米特-羟氯喹联合治疗原发性干燥综合征患者(RepurpSS-I):一项安慰剂对照、双盲、随机临床试验。
Lancet Rheumatol. 2020 May;2(5):e260-e269. doi: 10.1016/S2665-9913(20)30057-6. Epub 2020 Mar 26.
2
Longitudinal proteomic analysis of severe COVID-19 reveals survival-associated signatures, tissue-specific cell death, and cell-cell interactions.重症 COVID-19 的纵向蛋白质组学分析揭示了与生存相关的特征、组织特异性细胞死亡和细胞间相互作用。
Cell Rep Med. 2021 May 18;2(5):100287. doi: 10.1016/j.xcrm.2021.100287. Epub 2021 May 3.
3
靶向蛋白质组学分析确定ACVRL1为动脉瘤性蛛网膜下腔出血中脑水肿的标志物。
J Cereb Blood Flow Metab. 2025 Aug 20:271678X251361250. doi: 10.1177/0271678X251361250.
4
Deciphering the Proteomic Landscape of Circulating Extracellular Vesicles in Human Abdominal Aortic Aneurysm.解析人类腹主动脉瘤中循环细胞外囊泡的蛋白质组学图谱
J Cell Mol Med. 2025 Aug;29(15):e70725. doi: 10.1111/jcmm.70725.
5
Blood plasma proteome-wide association study implicates novel proteins in the pathogenesis of multiple cardiovascular diseases.血浆蛋白质组全关联研究表明多种新型蛋白质与多种心血管疾病的发病机制有关。
Cardiovasc Diabetol. 2025 Aug 1;24(1):312. doi: 10.1186/s12933-025-02847-w.
6
Distinct inflammatory profiles in young-onset versus late-onset Alzheimer's disease.早发型与晚发型阿尔茨海默病的不同炎症特征。
Alzheimers Dement. 2025 Jul;21(7):e70509. doi: 10.1002/alz.70509.
7
Plasma protein biomarkers of infection in pregnant women: a high-throughput proteomics study.孕妇感染的血浆蛋白质生物标志物:一项高通量蛋白质组学研究。
Front Cell Infect Microbiol. 2025 Jul 8;15:1594088. doi: 10.3389/fcimb.2025.1594088. eCollection 2025.
8
Modular DNA barcoding of nanobodies enables multiplexed in situ protein imaging and high-throughput biomolecule detection.纳米抗体的模块化DNA条形码技术可实现多重原位蛋白质成像和高通量生物分子检测。
Elife. 2025 Jul 22;14:RP105225. doi: 10.7554/eLife.105225.
9
Decoding sex differences in human immunity through systems immunology.通过系统免疫学解析人类免疫中的性别差异。
Oxf Open Immunol. 2025 Jul 4;6(1):iqaf006. doi: 10.1093/oxfimm/iqaf006. eCollection 2025.
10
Circulating T-cell receptor repertoire for cancer early detection.用于癌症早期检测的循环T细胞受体库
NPJ Precis Oncol. 2025 Jul 19;9(1):245. doi: 10.1038/s41698-025-01036-y.
Treg-specific IL-2 therapy can reestablish intrahepatic immune regulation in autoimmune hepatitis.
Treg 细胞特异性白介素 2 治疗可重建自身免疫性肝炎的肝内免疫调节。
J Autoimmun. 2021 Feb;117:102591. doi: 10.1016/j.jaut.2020.102591. Epub 2020 Dec 30.
4
Systems biology in cardiovascular disease: a multiomics approach.心血管疾病中的系统生物学:一种多组学方法。
Nat Rev Cardiol. 2021 May;18(5):313-330. doi: 10.1038/s41569-020-00477-1. Epub 2020 Dec 18.
5
Transcriptomic and proteomic intra-tumor heterogeneity of colorectal cancer varies depending on tumor location within the colorectum.结直肠癌肿瘤内转录组和蛋白质组异质性取决于结直肠内肿瘤的位置。
PLoS One. 2020 Dec 17;15(12):e0241148. doi: 10.1371/journal.pone.0241148. eCollection 2020.
6
Serum proteomic profiling at diagnosis predicts clinical course, and need for intensification of treatment in inflammatory bowel disease.在炎症性肠病诊断时的血清蛋白质组谱分析可预测临床病程和治疗强化的需要。
J Crohns Colitis. 2021 May 4;15(5):699-708. doi: 10.1093/ecco-jcc/jjaa230.
7
Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19.多组学解析轻度和中度 COVID-19 之间明显的疾病状态转变。
Cell. 2020 Dec 10;183(6):1479-1495.e20. doi: 10.1016/j.cell.2020.10.037. Epub 2020 Oct 28.
8
Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals.对 30931 个人的 90 种心血管蛋白进行基因组和药物靶点评估。
Nat Metab. 2020 Oct;2(10):1135-1148. doi: 10.1038/s42255-020-00287-2. Epub 2020 Oct 16.
9
Untargeted longitudinal analysis of a wellness cohort identifies markers of metastatic cancer years prior to diagnosis.无靶向纵向分析健康队列可在诊断前数年识别出转移性癌症的标志物。
Sci Rep. 2020 Oct 1;10(1):16275. doi: 10.1038/s41598-020-73451-z.
10
Mapping Systemic Inflammation and Antibody Responses in Multisystem Inflammatory Syndrome in Children (MIS-C).绘制儿童多系统炎症综合征(MIS-C)中的系统性炎症和抗体反应图谱。
Cell. 2020 Nov 12;183(4):982-995.e14. doi: 10.1016/j.cell.2020.09.034. Epub 2020 Sep 14.