Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution

Autor: Paul D. Piehowski, Ying Zhu, Lisa M. Bramer, Kelly G. Stratton, Rui Zhao, Daniel J. Orton, Ronald J. Moore, Jia Yuan, Hugh D. Mitchell, Yuqian Gao, Bobbie-Jo M. Webb-Robertson, Sudhansu K. Dey, Ryan T. Kelly, Kristin E. Burnum-Johnson
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-019-13858-z
Popis: Imaging mass spectrometry is a powerful emerging tool for mapping the spatial distribution of biomolecules across tissue surfaces. Here the authors showcase an automated technology for deep proteome imaging that utilizes ultrasensitive microfluidics and a mass spectrometry workflow to analyze tissue voxels, generating quantitative cell-type-specific images.
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