Tissue Heterogeneity-Driven Parallel Acquisition for High-Coverage MS/MS Imaging of Lipids.

Dan Li, Yao Qian, Aolei Tan, Shenghui Ye, Zhuoning Xie, Zheng Ouyang, Xiaoxiao Ma

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. 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

7 authors.

Dan LiDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China.

Yao QianDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China.

Aolei TanDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China.

Shenghui YeDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China.

Zhuoning XieDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China.

Zheng OuyangDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China.ORCID 0000-0002-7932-0933

Xiaoxiao MaDepartment of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China.ORCID 0000-0003-1205-6485

Funding

National Key R&D Program of China 2022YFC3401900

6 · The paper itself

Abstract

Elucidating tissue architecture and function necessitates lipid analysis that is both spatially comprehensive and achieved at high resolution while maintaining spatial context. Conventional mass spectrometry imaging (MSI) techniques typically perform MS/MS analysis sequentially for individual lipids, creating a significant trade-off between spatial resolution and analytical depth. To circumvent this limitation, we introduce a deconvolution-based structure-specific spatial lipidomics (DeconS

Indexed as

Carcinoma, HepatocellularLipidomicsLipidsLiver NeoplasmsTandem Mass SpectrometryAnimalsHumansMiceLipidsmass spectrometry imagingspatial lipidomicsspectrum deconvolutiontissue heterogeneity

Identifiers

PMID42183673

DOI10.1002/anie.4721868

PMCPMC13411381

What OpenQuestion holds

Textmetadata

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.