Year: 2021
Type: preprint
Abstract: All human diseases involve proteins, yet our current tools to characterize and quantify them are limited. To better elucidate proteins across space, time, and molecular composition, we provide provocative projections for technologies to meet the challenges that protein biology presents. With a broad perspective, we discuss grand opportunities to transition the science of proteomics into a more propulsive enterprise. Extrapolating recent trends, we offer potential futures for a next generation of disruptive approaches to define, quantify and visualize the multiple dimensions of the proteome, thereby transforming our understanding and interactions with human disease in the coming decade.
Source: arXiv (Cornell University)
Authors: Functional, Participants in a NIH Workshop on, Proteomics, Integrative, :, Johnson, Kristin E. Burnum, Conrads, Thomas P., Drake, Richard R., Herr, Amy E., Iyengar, Ravi, Kelly, Ryan T., Lundberg, Emma, MacCoss, Michael J., Naba, Alexandra, Nolan, Garry P., Pevzner, Pavel A., Rodland, Karin D., Sechi, Salvatore, Slavov, Nikolai, Spraggins, Jeffrey M., Van Eyk, Jennifer E., Vidal, Marc, Vogel, Christine, Walt, David R., Kelleher, Neil L.
Institutions: Pacific Northwest National Laboratory, Inova Health System, Medical University of South Carolina, University of California, Berkeley, Icahn School of Medicine at Mount Sinai, Brigham Young University, KTH Royal Institute of Technology, University of Washington, University of Illinois Chicago, Stanford University, University of California San Diego, National Institutes of Health, Northeastern University, Vanderbilt University, Cedars-Sinai Medical Center, Harvard University, New York University, Northwestern University
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: green
Awards: Vanderbilt University Biomolecular Multimodal Imaging Center for 3-Dimensional Tissue Mapping, G4501127283, Novel Platform for Quantitative Subcellular Resolution Imaging of Human Tissues Using Mass Spectrometry, Spatiotemporal characterization of the human cell cycle proteome, Advanced Cancer Classification via Single-Cell Electrophoretic Cytopathology, Ribosome-mediated translational regulation during stem cell differentiation, G9000031282, G9000067669, G9000097637, G9000125048, G9000133993
OpenAlex ID: W4287023926