Evidence map›Paper›PMID 26863634›Full record

ArticleOncotarget2016

Large-scale profiling of signalling pathways reveals an asthma specific signature in bronchial smooth muscle cells.

Elena Alexandrova, Giovanni Nassa, Giacomo Corleone, Anton Buzdin, Alexander M Aliper, Nadezhda Terekhanova, Denis Shepelin, Alexander Zhavoronkov, Michael Tamm, Luciano Milanesi and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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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

13 authors at 6 institutions in 4 countries.

Elena AlexandrovaLaboratory of Molecular Medicine and Genomics, Department of Medicine and Surgery, University of Salerno, Baronissi (SA), Italy.
Giovanni NassaLaboratory of Molecular Medicine and Genomics, Department of Medicine and Surgery, University of Salerno, Baronissi (SA), Italy.
Giacomo CorleoneLaboratory of Molecular Medicine and Genomics, Department of Medicine and Surgery, University of Salerno, Baronissi (SA), Italy.
Anton BuzdinLaboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia.
Alexander M AliperLaboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia.
Nadezhda TerekhanovaPathway Pharmaceuticals, Wan Chai, Hong Kong, Hong Kong SAR.
Denis ShepelinPathway Pharmaceuticals, Wan Chai, Hong Kong, Hong Kong SAR.
Alexander ZhavoronkovInsilico Medicine, Inc, ETC, Johns Hopkins University, Baltimore, MD, USA.
Michael TammDepartment of Biomedicine, University Hospital Basel, Basel, Switzerland.
Luciano MilanesiInstitute of Biomedical Technologies, National Research Council, Segregate (MI), Italy.
Nicola MiglinoDepartment of Biomedicine, University Hospital Basel, Basel, Switzerland.
Alessandro WeiszLaboratory of Molecular Medicine and Genomics, Department of Medicine and Surgery, University of Salerno, Baronissi (SA), Italy.
Pieter BorgerDepartment of Biomedicine, University Hospital Basel, Basel, Switzerland.
University of Salerno · ITUniversity Hospital of Basel · CHDmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology · RUInstitute of Biomedical Technologies · ITInstitute of Bioorganic Chemistry · RUJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBronchial smooth muscle (BSM) cells from asthmatic patients maintain in vitro a distinct hyper-reactive ("primed") phenotype, characterized by increased release of pro-inflammatory factors and mediators, as well as hyperplasia and/or hypertrophy. This "primed" phenotype helps to understand pathogenesis of asthma, as changes in BSM function are essential for manifestation of allergic and inflammatory responses and airway wall remodelling.

objectiveTo identify signalling pathways in cultured primary BSMs of asthma patients and non-asthmatic subjects by genome wide profiling of differentially expressed mRNAs and activated intracellular signalling pathways (ISPs).

methodsTranscriptome profiling by cap-analysis-of-gene-expression (CAGE), which permits selection of preferentially capped mRNAs most likely to be translated into proteins, was performed in human BSM cells from asthmatic (n=8) and non-asthmatic (n=6) subjects and OncoFinder tool were then exploited for identification of ISP deregulations.

resultsCAGE revealed >600 RNAs differentially expressed in asthma vs control cells (p≤0.005), with asthma samples showing a high degree of similarity among them. Comprehensive ISP activation analysis revealed that among 269 pathways analysed, 145 (p<0.05) or 103 (p<0.01) are differentially active in asthma, with profiles that clearly characterize BSM cells of asthmatic individuals. Notably, we identified 7 clusters of coherently acting pathways functionally related to the disease, with ISPs down-regulated in asthma mostly targeting cell death-promoting pathways and up-regulated ones affecting cell growth and proliferation, inflammatory response, control of smooth muscle contraction and hypoxia-related signalization.

conclusionsThese first-time results can now be exploited toward development of novel therapeutic strategies targeting ISP signatures linked to asthma pathophysiology.

Indexed as

Signal TransductionAdultAgedAsthmaBronchiFemaleGene Expression ProfilingHumansMaleMiddle AgedMyocytes, Smooth MuscleTranscriptomeYoung AdultasthmaCAGEsignalling pathwayssmooth muscle cells

Identifiers

PMID26863634
PMCPMC5039037
OpenAlexW2300230234

What OpenQuestion holds

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LicenceCC BY
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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.