Single‐Injection Multi‐Omics Analysis by Direct Infusion Mass Spectrometry

Y Yuming Jiang I Ivan Salladay‐Perez (Department of Molecular Biology Immunology, and Molecular Genetics University of California Los Angeles USA) A Amanda Momenzadeh (Department of Computational Biomedicine Cedars Sinai Medical Center Los Angeles California USA) J Jesús Muñoz‐Estrada (Department of Computational Biomedicine Cedars Sinai Medical Center Los Angeles California USA) U Uktarsh Tripathi (Department of Molecular Biology Immunology, and Molecular Genetics University of California Los Angeles USA) A Anthony J. Covarrubias (Department of Molecular Biology Immunology, and Molecular Genetics University of California Los Angeles USA) J Jesse G. Meyer

Abstract

ABSTRACT Combined proteomics, metabolomics, and lipidomics analyses require long liquid chromatography–mass spectrometry (LC–MS) run times, limiting throughput and increasing costs for large‐scale studies. Here, we present s ingle‐injection m ulti‐omics a nalysis by d irect infusion (SMAD), an integrated platform leveraging ion mobility mass spectrometry and self‐developed software tools to enable single injection multi‐omics analysis without liquid chromatography. SMAD allows quantification of over 9000 metabolite m/z features and over 1300 proteins from the same sample in less than 5 min. We validated the efficiency and reliability of SMAD with three case studies: (1) mouse macrophages after M1/M2 polarization and senescence, (2) a pilot drug screen in human cells, and (3) large‐scale high‐throughput drug screening of mammalian cells in 96‐well plates. Finally, relationships between proteomic and metabolomic data are discovered by machine learning and validated.

Article Details

Volume / Issue Vol. 65, Issue 20
Published May 11, 2026
ISSN 1433-7851
Publisher Wiley

Journal Info

Angewandte Chemie International Edition

Wiley

ISSN: 1433-7851 Physical Sciences

Authors (7)

Y

Yuming Jiang

I

Ivan Salladay‐Perez

Department of Molecular Biology Immunology, and Molecular Genetics University of California Los Angeles USA

A

Amanda Momenzadeh

Department of Computational Biomedicine Cedars Sinai Medical Center Los Angeles California USA

J

Jesús Muñoz‐Estrada

Department of Computational Biomedicine Cedars Sinai Medical Center Los Angeles California USA

U

Uktarsh Tripathi

Department of Molecular Biology Immunology, and Molecular Genetics University of California Los Angeles USA

A

Anthony J. Covarrubias

Department of Molecular Biology Immunology, and Molecular Genetics University of California Los Angeles USA

J

Jesse G. Meyer