Author Identifier

Mary Boyce Orcid: https://orcid.org/0000-0002-4908-8061 Wei Wang Orcid: https://orcid.org/0000-0002-1430-1360

Document Type

Journal Article

Publication Title

OMICS : A Journal of Integrative Biology

ISSN

1557-8100

Volume

22

Issue

11

First Page

679

Last Page

695

PubMed ID

30457467

Publisher

Mary Ann Libert, Inc. Publishers

School

School of Medical and Health Sciences / School of Science

RAS ID

27769

Grant Number

NHMRC Number : 1112767

Comments

This is an Author's Accepted Manuscript of: Ma, Q., Adua, E., Boyce, M. C., Li, X., Ji, G., & Wang, W. (2018). IIMass time: The future, in future!. OMICS: a Journal of Integrative Biology, 22(11), 679-695. Final publication is Available from Mary Ann Liebert, Inc., publishers at: https://doi.org/10.1089/omi.2018.0162

Abstract

Joseph John Thomson discovered and proved the existence of electrons through a series of experiments. His work earned him a Nobel Prize in 1906 and initiated the era of mass spectrometry (MS). In the intervening time, other researchers have also been awarded the Nobel Prize for significant advances in MS technology. The development of soft ionization techniques was central to the application of MS to large biological molecules and led to an unprecedented interest in the study of biomolecules such as proteins (proteomics), metabolites (metabolomics), carbohydrates (glycomics), and lipids (lipidomics), allowing a better understanding of the molecular underpinnings of health and disease. The interest in large molecules drove improvements in MS resolution and now the challenge is in data deconvolution, intelligent exploitation of heterogeneous data, and interpretation, all of which can be ameliorated with a proposed IMass technology. We define IMass as a combination of MS and artificial intelligence, with each performing a specific role. IMass will offer advantages such as improving speed, sensitivity, and analyses of large data that are presently not possible with MS alone. In this study, we present an overview of the MS considering historical perspectives and applications, challenges, as well as insightful highlights of IMass.

DOI

10.1089/omi.2018.0162

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