Evidence map›Paper›PMID 42041602›Full record

ArticleCells2026

Spatial Protein Expression Analysis in Lungs Using Capillary-Based Immunoassay After Laser-Assisted Microdissection.

Stefan Hadzic, Marija Gredic, Vanessa Nebel, Norbert Weissmann, Cheng-Yu Wu

Abstract read
In one paragraph

Article in Cells, 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

5 authors.

Stefan HadzicExcellence Cluster Cardio-Pulmonary Institute (CPI), Institute for Lung Health (ILH), Universities of Giessen and Marburg Lung Center (UGMLC), German Center for Lung Research (DZL), Justus Liebig University Giessen, Aulweg 130, 35392 Giessen, Germany.ORCID 0000-0001-8459-2776
Marija GredicExcellence Cluster Cardio-Pulmonary Institute (CPI), Institute for Lung Health (ILH), Universities of Giessen and Marburg Lung Center (UGMLC), German Center for Lung Research (DZL), Justus Liebig University Giessen, Aulweg 130, 35392 Giessen, Germany.ORCID 0000-0001-6008-171X
Vanessa NebelExcellence Cluster Cardio-Pulmonary Institute (CPI), Institute for Lung Health (ILH), Universities of Giessen and Marburg Lung Center (UGMLC), German Center for Lung Research (DZL), Justus Liebig University Giessen, Aulweg 130, 35392 Giessen, Germany.
Norbert WeissmannExcellence Cluster Cardio-Pulmonary Institute (CPI), Institute for Lung Health (ILH), Universities of Giessen and Marburg Lung Center (UGMLC), German Center for Lung Research (DZL), Justus Liebig University Giessen, Aulweg 130, 35392 Giessen, Germany.ORCID 0000-0003-2675-3871
Cheng-Yu WuExcellence Cluster Cardio-Pulmonary Institute (CPI), Institute for Lung Health (ILH), Universities of Giessen and Marburg Lung Center (UGMLC), German Center for Lung Research (DZL), Justus Liebig University Giessen, Aulweg 130, 35392 Giessen, Germany.ORCID 0000-0002-2788-8586

Funding

German Research Foundation (DFG) Project No. BE 4443/6-1, Project No. 268555672, Project No. 390649896University Hospital Giessen and Marburg (UKGM) Forschungsförderung §2 Abs. 3; Project No. 5/2023 GI and Project No. 15/2025 GIvon-Behring-Röntgen Stiftung Project No. 72_0014
6 · The paper itself

Abstract

Unravelling the cellular and molecular mechanisms underlying lung injury and repair requires precise spatial context. Profiling cell-to-cell transcriptional variability and spatial orientation has become increasingly sophisticated, but validating results at the protein level still remains challenging, particularly for low-expressed proteins or small-scale samples. Here, we present a workflow established by our group for spatial protein analysis in the lung by combining two commercially available platforms: (1) laser-assisted microdissection (LMD) with (2) a capillary electrophoretic-based immunoassay (CEI). Using this workflow, we demonstrate a simple, accessible, and sensitive method for spatially capturing regions of interest to investigate small-scale samples or low-expressed proteins. This workflow provides an additional option for orthogonal validation for researchers using omics-based approaches. Furthermore, we validated transcriptome analysis results at the protein level by applying this workflow to a pre-clinical model of cigarette smoke (CS)-induced lung injury. In line with the previous findings, the results showed a significant downregulation of the endothelial cell marker in LMD-enriched alveolar regions, suggesting spatial capillary rarefaction, and activation of the mitogen-activated protein kinase (MAPK) signalling pathway in pulmonary vasculature of CS-exposed mice. Our approach overcomes traditional challenges and provides new opportunities for understanding complex disease pathomechanisms and identifying potential therapeutic targets.

Indexed as

Laser Capture MicrodissectionLungMicrodissectionAnimalsCapillariesGene Expression ProfilingImmunoassayLasersMaleMiceMice, Inbred C57BLlung injury and repairprotein expression analysisspatial biology

Identifiers

PMID42041602
PMCPMC13115125

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.