Evidence map›Paper›PMID 42010161›Full record

ReviewAnalytical and bioanalytical chemistry2026

Miniaturized chromatography-based lipidomics methods towards single-cell analysis.

Klidel Fae Rellin, Michael Witting

Abstract readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Klidel Fae RellinMetabolomics and Proteomics Core, Helmholtz Zentrum München German Research Center for Environmental Health, 85764, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-7467-5882
Michael WittingMetabolomics and Proteomics Core, Helmholtz Zentrum München German Research Center for Environmental Health, 85764, Neuherberg, Germany. michael.witting@helmholtz-munich.de.ORCID http://orcid.org/0000-0002-1462-4426

Funding

European Union Horizon 2020 101073062
6 · The paper itself

Abstract

Lipidomics provides detailed insight into lipid metabolism and cellular function, but conventional workflows typically rely on bulk samples that mask cellular heterogeneity. Advances in analytical chemistry are enabling lipid analysis from extremely limited material, driving the development of miniaturized chromatography-mass spectrometry (LC-MS) workflows for low-input and single-cell studies. This review summarizes recent progress in miniaturized chromatography-based lipidomics. Reducing chromatographic scale improves ionization efficiency, sensitivity, and separation performance while minimizing sample consumption. We discuss key enabling technologies, such as low-flow electrospray interfaces and the integration of ion mobility (IM) spectrometry as an orthogonal separation dimension for lipid identification. Methodological considerations for low-input lipidomics are also addressed, particularly sample preparation and quantitative challenges at picogram-scale analyte levels. Finally, we highlight future directions in automation, microfluidics, and multidimensional separations. Together, these developments position miniaturized chromatography as a critical platform for advancing single-cell lipidomics and high-resolution studies of lipid metabolism.

Indexed as

LipidomicsLipidsLiquid Chromatography-Mass SpectrometrySingle-Cell AnalysisAnimalsHumansMiniaturizationLipidsIon mobilityLipidomicsLiquid chromatographyMass spectrometryNanoLCSingle cell lipidomics

Identifiers

PMID42010161
PMCPMC13264594

What Socratic 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 Socratic graph.