Evidence map›Paper›PMID 41307263›Full record

ArticleAnalytical chemistry2025

Laser Desorption-Rapid Evaporative Ionization Mass Spectrometry (LD-REIMS): A New Tool for the High-Throughput Metabolomic and Lipidomic Profiling of Live Cells.

Stefania Maneta-Stavrakaki, Aurelien Tripp, Daniel Simon, Yuchen Xiang, Adrienn Molnar, Athanasios Tsalikis, Efstathios Andreas Elia, Josephine Bunch, Julia Balog, George Poulogiannis and 1 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Stefania Maneta-StavrakakiDepartment of Metabolism, Digestion, and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Rd, W12 0NN London, U.K.ORCID 0000-0002-4621-4704
Aurelien TrippSignalling and Cancer Metabolism Team, Division of Cell and Molecular Biology, The Institute of Cancer Research, 237 Fulham Rd., SW3 6JB London, U.K.
Daniel SimonDepartment of Metabolism, Digestion, and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Rd, W12 0NN London, U.K.ORCID 0000-0001-5056-913X
Yuchen XiangDepartment of Metabolism, Digestion, and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Rd, W12 0NN London, U.K.
Adrienn MolnarHevesy György PhD School of Chemistry, ELTE Eötvös Loránd University, H-1117 Budapest, Hungary.
Athanasios TsalikisSignalling and Cancer Metabolism Team, Division of Cell and Molecular Biology, The Institute of Cancer Research, 237 Fulham Rd., SW3 6JB London, U.K.ORCID 0000-0003-4994-4312
Efstathios Andreas EliaNational Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington, TW11 0LW London, U.K.ORCID 0000-0003-2769-7066
Josephine BunchNational Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington, TW11 0LW London, U.K.
Julia BalogImmerse Cambridge, 301 Binney St Suite 102, Cambridge, Massachusetts 02142, United States.ORCID 0000-0003-4914-8797
George PoulogiannisSignalling and Cancer Metabolism Team, Division of Cell and Molecular Biology, The Institute of Cancer Research, 237 Fulham Rd., SW3 6JB London, U.K.
Zoltan TakatsDepartment of Metabolism, Digestion, and Reproduction, Imperial College London, Hammersmith Campus, Du Cane Rd, W12 0NN London, U.K.ORCID 0000-0002-0795-3467

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the dynamic cellular metabolism is essential for gaining deeper insights into inter- and intracellular functions. In recent years, mass spectrometry (MS) has become the technology of choice for the biochemical characterization and profiling of cell lines, particularly when coupled with separation techniques such as liquid chromatography (LC-MS). However, these methods typically involve extensive sample preparation with potent organic solvents, which is labor-intensive, time-consuming, and incompatible with direct analysis of intact, live cells. Here, we propose the use of the ambient ionization technique Laser Desorption-Rapid Evaporative Ionization Mass Spectrometry (LD-REIMS) incorporated in an automated platform, for the high-throughput profiling of live or frozen cell monolayers, with minimal pretreatment. Validation experiments using 10 breast and colorectal cancer cell lines confirmed high accuracy, repeatability, and molecular coverage of the method, with over 400 metabolites and lipids detected and identified, including saccharides, amino acids, fatty acids, and glycerophospholipids. Of these, 144 were further confirmed and quantified with LC-MS/MS and standard compounds. We also applied the method to establish lipidomic differences across the isogenic MCF10A cells harboring either WT or MUT

Indexed as

High-Throughput Screening AssaysLipidomicsLipidsMetabolomicsCell Line, TumorHumansMass SpectrometryLipids

Identifiers

PMID41307263
PMCPMC12874226

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.