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Automated Spatially Targeted Optical Micro Proteomics (AutoSTOMP) 2.0 identifies proteins enriched within inflammatory lesions in tissue sections and human clinical biopsies
View ORCID ProfileBocheng Yin, Laura R Caggiano, Rung-Chi Li, Emily McGowan, Jeffery W Holmes, View ORCID ProfileSarah E Ewald
doi: https://doi.org/10.1101/2021.03.19.436192
Bocheng Yin
†Department of Microbiology, Immunology and Cancer Biology and the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville VA, USA
Laura R Caggiano
‡Department of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA, USA
Rung-Chi Li
±Division of Allergy and Clinical Immunology, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
Emily McGowan
±Division of Allergy and Clinical Immunology, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
Jeffery W Holmes
‡Department of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA, USA
Sarah E Ewald
†Department of Microbiology, Immunology and Cancer Biology and the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville VA, USA
Posted March 20, 2021.
Automated Spatially Targeted Optical Micro Proteomics (AutoSTOMP) 2.0 identifies proteins enriched within inflammatory lesions in tissue sections and human clinical biopsies
Bocheng Yin, Laura R Caggiano, Rung-Chi Li, Emily McGowan, Jeffery W Holmes, Sarah E Ewald
bioRxiv 2021.03.19.436192; doi: https://doi.org/10.1101/2021.03.19.436192
Automated Spatially Targeted Optical Micro Proteomics (AutoSTOMP) 2.0 identifies proteins enriched within inflammatory lesions in tissue sections and human clinical biopsies
Bocheng Yin, Laura R Caggiano, Rung-Chi Li, Emily McGowan, Jeffery W Holmes, Sarah E Ewald
bioRxiv 2021.03.19.436192; doi: https://doi.org/10.1101/2021.03.19.436192
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