Evidence map›Paper›PMID 35610327›Full record

ArticleScientific reports2022

The normal and fibrotic mouse lung classified by spatial proteomic analysis.

Roberta Ciccimarra, Maddalena M Bolognesi, Matteo Zoboli, Giorgio Cattoretti, Franco F Stellari, Francesca Ravanetti

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. [Spatial omics in pulmonary fibrosis: advancing mechanistic insights and therapeutic strategies].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Indocyanine-enhanced mouse model of bleomycin-induced lung fibrosis with hallmarks of progressive emphysema.American journal of physiology. Lung cellular and molecular physiology · 2023
    Article
  9. Review
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

6 authors.

Roberta Ciccimarra *Department of Veterinary Science, Università di Parma, Parma, Italy.
Maddalena M Bolognesi *Department of Medicine and Surgery, Università di Milano-Bicocca, Monza, Italy.
Matteo ZoboliDepartment of Veterinary Science, Università di Parma, Parma, Italy.
Giorgio CattorettiDepartment of Medicine and Surgery, Università di Milano-Bicocca, Monza, Italy.
Franco F StellariCorporate Preclinical R&D, Chiesi Farmaceutici S.P.A., Largo Belloli 11/A, 43122, Parma, Italy. FB.stellari@chiesi.com.
Francesca RavanettiDepartment of Veterinary Science, Università di Parma, Parma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single cell classification is elucidating homeostasis and pathology in tissues and whole organs. We applied in situ spatial proteomics by multiplex antibody staining to routinely processed mouse lung, healthy and during a fibrosis model. With a limited validated antibody panel (24) we classify the normal constituents (alveolar type I and II, bronchial epithelia, endothelial, muscular, stromal and hematopoietic cells) and by quantitative measurements, we show the progress of lung fibrosis over a 4 weeks course, the changing landscape and the cell-specific quantitative variation of a multidrug transporter. An early decline in AT2 alveolar cells and a progressive increase in stromal cells seems at the core of the fibrotic process.

Indexed as

ProteomicsPulmonary FibrosisAlveolar Epithelial CellsAnimalsHomeostasisLungMice

Identifiers

PMID35610327
PMCPMC9130283

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Registered trials

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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.