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. 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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.