Evidence map›Paper›PMID 41906962›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Single-Injection Multi-Omics Analysis by Direct Infusion Mass Spectrometry.

Yuming Jiang, Ivan Salladay-Perez, Amanda Momenzadeh, Jesús Muñoz-Estrada, Uktarsh Tripathi, Anthony J Covarrubias, Jesse G Meyer

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
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  8. Review
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  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Yuming JiangDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California, USA.
Ivan Salladay-PerezDepartment of Molecular Biology, Immunology, and Molecular Genetics, University of California, Los Angeles, USA.
Amanda MomenzadehDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California, USA.
Jesús Muñoz-EstradaDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California, USA.
Uktarsh TripathiDepartment of Molecular Biology, Immunology, and Molecular Genetics, University of California, Los Angeles, USA.
Anthony J CovarrubiasDepartment of Molecular Biology, Immunology, and Molecular Genetics, University of California, Los Angeles, USA.
Jesse G MeyerDepartment of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0003-2753-3926

Funding

Democratizing Multi-Omics to Expedite Discovery of Hidden Metabolic PathwaysR35GM142502 · NIGMS · MEDICAL COLLEGE OF WISCONSIN · PI MEYER, JESSE · 2021 to 2025
$2.2M
Exploring the fundamental cellular mechanisms driving cellular senescence in macrophagesR35GM156893 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Anthony Joseph Covarrubias · 2025 to 2026
$788k
Drug Discovery for Alzheimer’s Disease Enabled by Multi-Omics and Artificial IntelligenceR21AG074234 · NIA · MEDICAL COLLEGE OF WISCONSIN · PI MEYER, JESSE · 2021 to 2022
$443k
NIA NIH HHS R21 AG074234NIGMS NIH HHS R35 GM142502NIH HHS R21AG074234NIH HHS R35GM142502NIH HHS R35GM156893
6 · The paper itself

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 single-injection multi-omics analysis by direct 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.

Indexed as

Mass SpectrometryMetabolomicsProteomicsAnimalsHumansLipidomicsLiquid Chromatography-Mass SpectrometryMacrophagesMiceMultiomicschemical biologylipidomicsmacrophagesmetabolomicsproteomics

Identifiers

PMID41906962
PMCPMC13159423

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.