Evidence map›Paper›PMID 39342081›Full record

ArticleBMC genomics2024

From CFTR to a CF signalling network: a systems biology approach to study Cystic Fibrosis.

Matthieu Najm, Loredana Martignetti, Matthieu Cornet, Mairead Kelly-Aubert, Isabelle Sermet, Laurence Calzone, Véronique Stoven

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Considerations for early life genetic therapies in cystic fibrosis.American journal of physiology. Lung cellular and molecular physiology · 2026
    Review
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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

7 authors.

Matthieu NajmCenter for Computational Biology (CBIO), Mines Paris-PSL, 75006, Paris, France. matthieu.najm@minesparis.psl.eu.
Loredana MartignettiCenter for Computational Biology (CBIO), Mines Paris-PSL, 75006, Paris, France.
Matthieu CornetCenter for Computational Biology (CBIO), Mines Paris-PSL, 75006, Paris, France.
Mairead Kelly-AubertInstitut Necker Enfants Malades, INSERM U1151, 75015, Paris, France.
Isabelle SermetInstitut Necker Enfants Malades, INSERM U1151, 75015, Paris, France.
Laurence Calzone *Center for Computational Biology (CBIO), Mines Paris-PSL, 75006, Paris, France. laurence.calzone@curie.fr.
Véronique Stoven *Center for Computational Biology (CBIO), Mines Paris-PSL, 75006, Paris, France. veronique.stoven@minesparis.psl.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCystic Fibrosis (CF) is a monogenic disease caused by mutations in the gene coding the Cystic Fibrosis Transmembrane Regulator (CFTR) protein, but its overall physio-pathology cannot be solely explained by the loss of the CFTR chloride channel function. Indeed, CFTR belongs to a yet not fully deciphered network of proteins participating in various signalling pathways.

methodsWe propose a systems biology approach to study how the absence of the CFTR protein at the membrane leads to perturbation of these pathways, resulting in a panel of deleterious CF cellular phenotypes.

resultsBased on publicly available transcriptomic datasets, we built and analyzed a CF network that recapitulates signalling dysregulations. The CF network topology and its resulting phenotypes were found to be consistent with CF pathology.

conclusionAnalysis of the network topology highlighted a few proteins that may initiate the propagation of dysregulations, those that trigger CF cellular phenotypes, and suggested several candidate therapeutic targets. Although our research is focused on CF, the global approach proposed in the present paper could also be followed to study other rare monogenic diseases.

Indexed as

Cystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorSignal TransductionSystems BiologyGene Expression ProfilingGene Regulatory NetworksHumansPhenotypeTranscriptomeCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorCF cellular phenotypesCF signalling networkCystic FibrosisNetwork topologyTherapeutic target

Identifiers

PMID39342081
PMCPMC11438383

What OpenQuestion holds

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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.