Highlight talk – Theme: Proteins
Abstract
Imaging Mass Spectrometry (IMS) has become a primary method for studying spatial proteomics, lipidomics, metabolomics, and drug distributions in tissue. IMS is increasingly used together with microscopy to answer biological questions in multi-modal imaging studies. Often, these modalities are simply overlaid to generate a single display, leaving data integration across technologies to human interpretation, and thus, significantly underutilizing the potential of multi-modal measurements. This talk presents our work on computational ‘fusion’ of spatial proteomics and lipidomics with measurements from other imaging modalities. We highlight Van de Plas et al. (Nature Methods, 2015), introducing a novel massively multivariate regression-based methodology for this task, and demonstrate several applications: (i) ‘sharpening’, using microscopy measurements to predict molecular distributions in tissue at spatial resolutions exceeding those measured by IMS; (ii) prediction of molecular distributions in tissue areas not measured by IMS; and (iii) multi-modal corroboration, revealing insights not apparent from microscopy or IMS alone.
Authors
Raf Van de Plas, Delft University of Technology, Netherlands
Junhai Yang, Vanderbilt University, United States
Jeffrey Spraggins, Vanderbilt University, United States
Richard M. Caprioli, Vanderbilt University, United States
Source of publication
Van de Plas R, Yang J, Spraggins J, Caprioli RM. “Image fusion of mass spectrometry and microscopy: a multimodality paradigm for molecular tissue mapping.” Nature methods 12, no. 4, Apr 1 (2015): 366-372.