Evidence map›Paper›PMID 37117166›Full record

ArticleNature communications2023

An interactive murine single-cell atlas of the lung responses to radiation injury.

Sandra Curras-Alonso, Juliette Soulier, Thomas Defard, Christian Weber, Sophie Heinrich, Hugo Laporte, Sophie Leboucher, Sonia Lameiras, Marie Dutreix, Vincent Favaudon and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
16.5field-weighted citation impact, top 1% of its field
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

47 citing papers in PubMed, 72 citations in OpenAlex.

  1. Immunophenotyping by Spatial Biology.Methods in molecular biology (Clifton, N.J.) · 2027
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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

15 authors at 4 institutions in 1 country.

Sandra Curras-AlonsoInstitut Curie, CNRS UMR 3244, Sorbonne Universite, PSL University, 75005, Paris, France.ORCID 0000-0003-3720-1861
Juliette SoulierInstitut Curie, CNRS UMR 3244, Sorbonne Universite, PSL University, 75005, Paris, France.ORCID 0000-0002-0609-367X
Thomas DefardCentre for Computational Biology (CBIO), Mines Paris, PSL University, 75006, Paris, France.ORCID 0000-0003-1225-7092
Christian WeberImaging and Modeling Unit, Institut Pasteur, Université Paris Cité, Paris, France.
Sophie HeinrichInstitut Curie, Inserm U1021-CNRS UMR 3347, University Paris-Saclay, PSL University, Centre Universitaire, 91405, Orsay Cedex, France.ORCID 0000-0003-3132-1803
Hugo LaporteInstitut Curie, CNRS UMR 3244, Sorbonne Universite, PSL University, 75005, Paris, France.
Sophie LeboucherInstitut Curie, CNRS UMR 3348, University Paris-Saclay, PSL University, Centre Universitaire, Orsay, France.ORCID 0000-0001-9922-8205
Sonia LameirasInstitut Curie Genomics of Excellence (ICGex) Platform, Paris, France.
Marie DutreixInstitut Curie, Inserm U1021-CNRS UMR 3347, University Paris-Saclay, PSL University, Centre Universitaire, 91405, Orsay Cedex, France.ORCID 0000-0002-3242-4815
Vincent FavaudonInstitut Curie, Inserm U1021-CNRS UMR 3347, University Paris-Saclay, PSL University, Centre Universitaire, 91405, Orsay Cedex, France.
Florian MassipCentre for Computational Biology (CBIO), Mines Paris, PSL University, 75006, Paris, France.ORCID 0000-0001-5855-0935
Thomas WalterCentre for Computational Biology (CBIO), Mines Paris, PSL University, 75006, Paris, France.
Florian MuellerImaging and Modeling Unit, Institut Pasteur, Université Paris Cité, Paris, France.ORCID 0000-0002-9622-4396
José-Arturo Londoño-VallejoInstitut Curie, CNRS UMR 3244, Sorbonne Universite, PSL University, 75005, Paris, France. arturo.londono@curie.fr.ORCID 0000-0003-3535-7563
Charles FouilladeInstitut Curie, Inserm U1021-CNRS UMR 3347, University Paris-Saclay, PSL University, Centre Universitaire, 91405, Orsay Cedex, France. charles.fouillade@curie.fr.ORCID 0000-0003-2692-5645
Centre National de la Recherche Scientifique · FRInserm · FRInstitut Pasteur · FRInstitut Curie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiation Induced Lung Injury (RILI) is one of the main limiting factors of thorax irradiation, which can induce acute pneumonitis as well as pulmonary fibrosis, the latter being a life-threatening condition. The order of cellular and molecular events in the progression towards fibrosis is key to the physiopathogenesis of the disease, yet their coordination in space and time remains largely unexplored. Here, we present an interactive murine single cell atlas of the lung response to irradiation, generated from C57BL6/J female mice. This tool opens the door for exploration of the spatio-temporal dynamics of the mechanisms that lead to radiation-induced pulmonary fibrosis. It depicts with unprecedented detail cell type-specific radiation-induced responses associated with either lung regeneration or the failure thereof. A better understanding of the mechanisms leading to lung fibrosis will help finding new therapeutic options that could improve patients' quality of life.

Indexed as

Lung InjuryPulmonary FibrosisRadiation InjuriesRadiation PneumonitisAnimalsFemaleLungMiceQuality of LifeThorax

Identifiers

PMID37117166
PMCPMC10147670
OpenAlexW4367314529

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.