New views of old proteins: clarifying the enigmatic proteome

Participants in a NIH Workshop on Functional; Integrative; Proteomics: Kristin E. Burnum Johnson (1); Thomas P. Conrads (2); Richard R.; Drake (3); Amy E. Herr (4); Ravi Iyengar (5); Ryan T. Kelly (6); Emma; Lundberg (7); Michael J. MacCoss (8); Alexandra Naba (9); Garry P. Nolan; (10); Pavel A. Pevzner (11); Karin D. Rodland (12); Salvatore Sechi (13),; Nikolai Slavov (14); Jeffrey M. Spraggins (15); Jennifer E. Van Eyk (16),; Marc Vidal (17); Christine Vogel (18); David R. Walt (19); Neil L. Kelleher; (20) ((1) Pacific Northwest National Laboratory; (2) Inova Health System; (3); Medical University of South Carolina; (4) University of California; Berkeley,; (5) Icahn School of Medicine at Mount Sinai; (6) Brigham Young University,; (7) KTH Royal Institute of Technology; (8) University of Washington; (9); University of Illinois at Chicago; (10) Stanford University; (11) University; of California at San Diego; (12) Pacific Northwest National Laboratory; (13); National Institutes of Health; (14) Northeastern University; (15) Vanderbilt; University; (16) Cedars Sinai Medical Center; (17) Harvard University; (18); New York University; (19) Harvard Medical School; (20) Northwestern; University)

arXiv:2108.07660·q-bio.BM·August 18, 2021

New views of old proteins: clarifying the enigmatic proteome

Participants in a NIH Workshop on Functional, Integrative, Proteomics: Kristin E. Burnum Johnson (1), Thomas P. Conrads (2), Richard R., Drake (3), Amy E. Herr (4), Ravi Iyengar (5), Ryan T. Kelly (6), Emma, Lundberg (7), Michael J. MacCoss (8), Alexandra Naba (9)

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TL;DR

This paper discusses future technological advancements in proteomics to better understand proteins' roles in human diseases, emphasizing the need for innovative tools to visualize and quantify the proteome across various dimensions.

Contribution

It provides a forward-looking perspective on disruptive proteomics technologies that could revolutionize disease understanding and biological research.

Findings

01

Projection of next-generation proteomics tools

02

Identification of grand opportunities in proteome analysis

03

Potential for transforming disease understanding

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.

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Taxonomy

TopicsAdvanced Proteomics Techniques and Applications · Bioinformatics and Genomic Networks · Machine Learning in Bioinformatics