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nELISA: A high-throughput, high-plex platform enables quantitative profiling of the secretome.
Dagher M, Ongo G, Robichaud N, Kong J, Rho W, Teahulos I, Tavakoli A, Bovaird S, Merjaneh S, Tan A, Edwardson K, Scheepers C, Ng A, Hajjar A, Sow B, Vrouvides M, Lee A, DeCorwin-Martin P, Rasool S, Huang J, Han Y, Erps T, Coffin S, Chandrasekaran SN, Miller L, Kost-Alimova M, Skepner A, Singh S, Carpenter AE, Munzar J, Juncker D. Dagher M, et al. Among authors: singh s. bioRxiv [Preprint]. 2023 Jun 28:2023.04.17.535914. doi: 10.1101/2023.04.17.535914. bioRxiv. 2023. PMID: 37131604 Free PMC article. Preprint.
Applications in image-based profiling of perturbations.
Caicedo JC, Singh S, Carpenter AE. Caicedo JC, et al. Among authors: singh s. Curr Opin Biotechnol. 2016 Jun;39:134-142. doi: 10.1016/j.copbio.2016.04.003. Epub 2016 Apr 17. Curr Opin Biotechnol. 2016. PMID: 27089218 Free article. Review.
Predicting cell health phenotypes using image-based morphology profiling.
Way GP, Kost-Alimova M, Shibue T, Harrington WF, Gill S, Piccioni F, Becker T, Shafqat-Abbasi H, Hahn WC, Carpenter AE, Vazquez F, Singh S. Way GP, et al. Among authors: singh s. Mol Biol Cell. 2021 Apr 19;32(9):995-1005. doi: 10.1091/mbc.E20-12-0784. Epub 2021 Feb 3. Mol Biol Cell. 2021. PMID: 33534641 Free PMC article.
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