Person: Heyman, John
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Heyman
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Heyman, John
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Publication Label-free single-cell protein quantification using a drop-based mix-and-read system(Nature Publishing Group, 2015) Abbaspourrad, Alireza; Zhang, Huidan; Tao, Ye; Cui, Naiwen; Asahara, Haruichi; Zhou, Ying; Yue, Dongxian; Koehler, Stephan; Ung, Lloyd W.; Heyman, John; Ren, Yukun; Ziblat, Roy; Chong, Shaorong; Weitz, DavidQuantitative protein analysis of single cells is rarely achieved due to technical difficulties of detecting minute amounts of proteins present in one cell. We develop a mix-and-read assay for drop-based label-free protein analysis of single cells. This high-throughput method quantifies absolute, rather than relative, amounts of proteins and does not involve antibody labeling or mass spectrometry.Publication MAFG-Driven Astrocytes Promote CNS Inflammation(Springer Science and Business Media LLC, 2020-02-12) Wheeler, Michael; Clark, Iain; Tjon, Emily; Li, Zhaorong; Zandee, Stephanie E. J.; Couturier, Charles P.; Watson, Brianna; Scalisi, Giulia; Alkwai, Sarah; Rothhammer, Veit; Rotem, Assaf; Heyman, John; Thaploo, Shravan; Sanmarco, Liliana; Ragoussis, Jiannis; Weitz, David; Petrecca, Kevin; Moffitt, Jeffrey; Becher, Burkhard; Antel, Jack P.; Prat, Alexandre; Quintana, Francisco