Evidence map›Paper›PMID 26893027›Full record

ArticleMolecular & cellular proteomics : MCP2016

A Novel Systems-Biology Algorithm for the Analysis of Coordinated Protein Responses Using Quantitative Proteomics.

Fernando García-Marqués, Marco Trevisan-Herraz, Sara Martínez-Martínez, Emilio Camafeita, Inmaculada Jorge, Juan Antonio Lopez, Nerea Méndez-Barbero, Simón Méndez-Ferrer, Miguel Angel Del Pozo, Borja Ibáñez and 5 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

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  6. Fibronectin-induced overactivation of αNature communications · 2026
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15 more citing papers are in PubMed but not listed here.

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.

Fernando García-MarquésFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.ORCID 0000-0002-2105-2905
Marco Trevisan-HerrazFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.ORCID 0000-0002-7129-0602
Sara Martínez-MartínezFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
Emilio CamafeitaFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
Inmaculada JorgeFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
Juan Antonio LopezFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
Nerea Méndez-BarberoFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
Simón Méndez-FerrerFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.ORCID 0000-0002-9805-9988
Miguel Angel Del PozoFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.ORCID 0000-0001-9077-391X
Borja IbáñezFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
Vicente AndrésFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.ORCID 0000-0002-0125-7209
Francisco Sánchez-MadridFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.ORCID 0000-0002-2656-1290
Juan Miguel RedondoFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.ORCID 0000-0001-5779-9122
Elena Bonzon-KulichenkoFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain ebonzon@cnic.es jvazquez@cnic.es.
Jesús VázquezFrom the ‡Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain ebonzon@cnic.es jvazquez@cnic.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coordinated behavior of proteins is central to systems biology. However, the underlying mechanisms are poorly known and methods to analyze coordination by conventional quantitative proteomics are still lacking. We present the Systems Biology Triangle (SBT), a new algorithm that allows the study of protein coordination by pairwise quantitative proteomics. The Systems Biology Triangle detected statistically significant coordination in diverse biological models of very different nature and subjected to different kinds of perturbations. The Systems Biology Triangle also revealed with unprecedented molecular detail an array of coordinated, early protein responses in vascular smooth muscle cells treated at different times with angiotensin-II. These responses included activation of protein synthesis, folding, turnover, and muscle contraction - consistent with a differentiated phenotype-as well as the induction of migration and the repression of cell proliferation and secretion. Remarkably, the majority of the altered functional categories were protein complexes, interaction networks, or metabolic pathways. These changes could not be detected by other algorithms widely used by the proteomics community, and the vast majority of proteins involved have not been described before to be regulated by AngII. The unique capabilities of The Systems Biology Triangle to detect functional protein alterations produced by the coordinated action of proteins in pairwise quantitative proteomics experiments make this algorithm an attractive choice for the biological interpretation of results on a routine basis.

Indexed as

AlgorithmsAnimalsHigh-Throughput Screening AssaysHumansProtein Interaction MapsProteomeProteomicsSystems BiologyProteome

Identifiers

PMID26893027
PMCPMC4858952

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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.