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nELISA: A high-throughput, high-plex platform enables quantitative profiling of the inflammatory secretome
by
Chandrasekaran, Srinivas Niranj
, Carpenter, Anne E
, DeCorwin-Martin, Philippe
, Teahulos, Ivan
, Vrouvides, Michael
, Dagher, Milad
, Hajjar, Andy
, Han, Yu
, Rho, Woojong
, Robichaud, Nathaniel
, Sow, Baly
, Ongo, Grant
, Munzar, Jeffrey
, Kost-Alimova, Maria
, Ng, Andy
, Tavakoli, Arya
, Scheepers, Christelle
, Bovaird, Samantha
, Erps, Timothy
, Rasool, Shafqat
, Skepner, Adam
, Singh, Shantanu
, Tan, Andrew
, Merjaneh, Shahem
, Huang, Jiamin
, Kong, Jinglin
, Edwardson, Kiran
, Lee, Andy
, Miller, Lisa
, Coffin, Spencer
, Juncker, David
in
Bioengineering
2025
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nELISA: A high-throughput, high-plex platform enables quantitative profiling of the inflammatory secretome
by
Chandrasekaran, Srinivas Niranj
, Carpenter, Anne E
, DeCorwin-Martin, Philippe
, Teahulos, Ivan
, Vrouvides, Michael
, Dagher, Milad
, Hajjar, Andy
, Han, Yu
, Rho, Woojong
, Robichaud, Nathaniel
, Sow, Baly
, Ongo, Grant
, Munzar, Jeffrey
, Kost-Alimova, Maria
, Ng, Andy
, Tavakoli, Arya
, Scheepers, Christelle
, Bovaird, Samantha
, Erps, Timothy
, Rasool, Shafqat
, Skepner, Adam
, Singh, Shantanu
, Tan, Andrew
, Merjaneh, Shahem
, Huang, Jiamin
, Kong, Jinglin
, Edwardson, Kiran
, Lee, Andy
, Miller, Lisa
, Coffin, Spencer
, Juncker, David
in
Bioengineering
2025
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nELISA: A high-throughput, high-plex platform enables quantitative profiling of the inflammatory secretome
by
Chandrasekaran, Srinivas Niranj
, Carpenter, Anne E
, DeCorwin-Martin, Philippe
, Teahulos, Ivan
, Vrouvides, Michael
, Dagher, Milad
, Hajjar, Andy
, Han, Yu
, Rho, Woojong
, Robichaud, Nathaniel
, Sow, Baly
, Ongo, Grant
, Munzar, Jeffrey
, Kost-Alimova, Maria
, Ng, Andy
, Tavakoli, Arya
, Scheepers, Christelle
, Bovaird, Samantha
, Erps, Timothy
, Rasool, Shafqat
, Skepner, Adam
, Singh, Shantanu
, Tan, Andrew
, Merjaneh, Shahem
, Huang, Jiamin
, Kong, Jinglin
, Edwardson, Kiran
, Lee, Andy
, Miller, Lisa
, Coffin, Spencer
, Juncker, David
in
Bioengineering
2025
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nELISA: A high-throughput, high-plex platform enables quantitative profiling of the inflammatory secretome
Journal Article
nELISA: A high-throughput, high-plex platform enables quantitative profiling of the inflammatory secretome
2025
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Overview
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 readouts, 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.
Publisher
Cold Spring Harbor Laboratory
Subject
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