nELISA:一种高通量、高复杂度的平台,可以对分泌组进行定量分析。

Milad Dagher, Grant Ongo, Nathaniel Robichaud, Jinglin Kong, Woojong Rho, Ivan Teahulos, Arya Tavakoli, Samantha Bovaird, Shahem Merjaneh, Andrew Tan, Kiran Edwardson, Christelle Scheepers, Andy Ng, Andy Hajjar, Baly Sow, Michael Vrouvides, Andy Lee, Philippe DeCorwin-Martin, Shafqat Rasool, Jiamin Huang, Timothy Erps, Spencer Coffin, Yu Han, Srinivas Niranj Chandrasekaran, Lisa Miller, Maria Kost-Alimova, Adam Skepner, Shantanu Singh, Anne E Carpenter, Jeffrey Munzar, David Juncker
{"title":"nELISA:一种高通量、高复杂度的平台,可以对分泌组进行定量分析。","authors":"Milad Dagher, Grant Ongo, Nathaniel Robichaud, Jinglin Kong, Woojong Rho, Ivan Teahulos, Arya Tavakoli, Samantha Bovaird, Shahem Merjaneh, Andrew Tan, Kiran Edwardson, Christelle Scheepers, Andy Ng, Andy Hajjar, Baly Sow, Michael Vrouvides, Andy Lee, Philippe DeCorwin-Martin, Shafqat Rasool, Jiamin Huang, Timothy Erps, Spencer Coffin, Yu Han, Srinivas Niranj Chandrasekaran, Lisa Miller, Maria Kost-Alimova, Adam Skepner, Shantanu Singh, Anne E Carpenter, Jeffrey Munzar, David Juncker","doi":"10.1101/2023.04.17.535914","DOIUrl":null,"url":null,"abstract":"<p><p>We present the nELISA, a high-throughput, high-fidelity, and high-plex protein profiling platform. DNA oligonucleotides are used to pre-assemble antibody pairs on spectrally encoded microparticles and perform displacement-mediated detection. Spatial separation between non-cognate antibodies prevents the rise of reagent-driven cross-reactivity, while read-out is performed cost-efficiently and at high-throughput using flow cytometry. nELISA can measure both protein concentration and their post-translational modifications. We assembled an inflammatory panel of 191 targets that were multiplexed without cross-reactivity nor impact on performance vs 1-plex signals, with sensitivities as low as 0.1 pg/mL and measurements spanning 7 orders of magnitude. We then performed a large-scale inflammatory-secretome perturbation screen of peripheral blood mononuclear cells (PBMCs), with cytokines as both perturbagens and read-outs, measuring 7,392 samples and generating ∼1.4M protein data points in under a week; a significant advance in throughput compared to other highly multiplexed immunoassays. We uncovered 447 significant cytokine responses, including multiple putatively novel ones, that were conserved across donors and stimulation conditions. We validate nELISA for phenotypic screening, where its capacity to faithfully report hundreds of proteins make it a powerful tool across multiple stages of drug discovery.</p>","PeriodicalId":72407,"journal":{"name":"bioRxiv : the preprint server for biology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153206/pdf/nihpp-2023.04.17.535914v2.pdf","citationCount":"0","resultStr":"{\"title\":\"nELISA: A high-throughput, high-plex platform enables quantitative profiling of the inflammatory secretome.\",\"authors\":\"Milad Dagher, Grant Ongo, Nathaniel Robichaud, Jinglin Kong, Woojong Rho, Ivan Teahulos, Arya Tavakoli, Samantha Bovaird, Shahem Merjaneh, Andrew Tan, Kiran Edwardson, Christelle Scheepers, Andy Ng, Andy Hajjar, Baly Sow, Michael Vrouvides, Andy Lee, Philippe DeCorwin-Martin, Shafqat Rasool, Jiamin Huang, Timothy Erps, Spencer Coffin, Yu Han, Srinivas Niranj Chandrasekaran, Lisa Miller, Maria Kost-Alimova, Adam Skepner, Shantanu Singh, Anne E Carpenter, Jeffrey Munzar, David Juncker\",\"doi\":\"10.1101/2023.04.17.535914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We present the nELISA, a high-throughput, high-fidelity, and high-plex protein profiling platform. DNA oligonucleotides are used to pre-assemble antibody pairs on spectrally encoded microparticles and perform displacement-mediated detection. Spatial separation between non-cognate antibodies prevents the rise of reagent-driven cross-reactivity, while read-out is performed cost-efficiently and at high-throughput using flow cytometry. nELISA can measure both protein concentration and their post-translational modifications. We assembled an inflammatory panel of 191 targets that were multiplexed without cross-reactivity nor impact on performance vs 1-plex signals, with sensitivities as low as 0.1 pg/mL and measurements spanning 7 orders of magnitude. We then performed a large-scale inflammatory-secretome perturbation screen of peripheral blood mononuclear cells (PBMCs), with cytokines as both perturbagens and read-outs, measuring 7,392 samples and generating ∼1.4M protein data points in under a week; a significant advance in throughput compared to other highly multiplexed immunoassays. We uncovered 447 significant cytokine responses, including multiple putatively novel ones, that were conserved across donors and stimulation conditions. We validate nELISA for phenotypic screening, where its capacity to faithfully report hundreds of proteins make it a powerful tool across multiple stages of drug discovery.</p>\",\"PeriodicalId\":72407,\"journal\":{\"name\":\"bioRxiv : the preprint server for biology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153206/pdf/nihpp-2023.04.17.535914v2.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"bioRxiv : the preprint server for biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2023.04.17.535914\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv : the preprint server for biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2023.04.17.535914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们提出了nELISA,一个高通量,高保真度和高复合体的蛋白质分析平台。DNA寡核苷酸用于在光谱编码的微粒上预组装抗体对,并进行位移介导的检测。非同源抗体之间的空间分离可防止试剂驱动的交叉反应性的上升,同时使用流式细胞术以低成本和高通量进行读出。我们组装了191个靶点的炎症面板,这些靶点与1路信号相比没有交叉反应性或对性能的影响,灵敏度低至0.1pg/mL,测量跨越7个数量级。然后,我们对外周血单个核细胞(PBMCs)进行了大规模的分泌组扰动筛选,细胞因子作为扰动原和读数,在一周内测量了7392个样本,产生了约150万个蛋白质数据点,与其他高度复用的免疫测定相比,这是一个显著的进步。我们发现了447个重要的细胞因子反应,包括多个假定的新反应,这些反应在供体和刺激条件下都是保守的。我们还验证了nELISA在表型筛选中的应用,并提出了其在药物发现中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
nELISA: A high-throughput, high-plex platform enables quantitative profiling of the inflammatory secretome.

We present the nELISA, a high-throughput, high-fidelity, and high-plex protein profiling platform. DNA oligonucleotides are used to pre-assemble antibody pairs on spectrally encoded microparticles and perform displacement-mediated detection. Spatial separation between non-cognate antibodies prevents the rise of reagent-driven cross-reactivity, while read-out is performed cost-efficiently and at high-throughput using flow cytometry. nELISA can measure both protein concentration and their post-translational modifications. We assembled an inflammatory panel of 191 targets that were multiplexed without cross-reactivity nor impact on performance vs 1-plex signals, with sensitivities as low as 0.1 pg/mL and measurements spanning 7 orders of magnitude. We then performed a large-scale inflammatory-secretome perturbation screen of peripheral blood mononuclear cells (PBMCs), with cytokines as both perturbagens and read-outs, measuring 7,392 samples and generating ∼1.4M protein data points in under a week; a significant advance in throughput compared to other highly multiplexed immunoassays. We uncovered 447 significant cytokine responses, including multiple putatively novel ones, that were conserved across donors and stimulation conditions. We validate nELISA for phenotypic screening, where its capacity to faithfully report hundreds of proteins make it a powerful tool across multiple stages of drug discovery.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信