Evidence map›Paper›PMID 29150402›Full record

ReviewPhysics of life reviews2018

Network science of biological systems at different scales: A review.

Marko Gosak, Rene Markovič, Jurij Dolenšek, Marjan Slak Rupnik, Marko Marhl, Andraž Stožer, Matjaž Perc

Abstract readReview
PubMed Publisher
In one paragraph

Review in Physics of life reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing 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

104 citing papers in PubMed.

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  18. Multiscale networks in multiple sclerosis.PLoS computational biology · 2024
    Article
  19. Article
  20. Article

44 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Marko GosakInstitute of Physiology, Faculty of Medicine, University of Maribor, Taborska 8, SI-2000 Maribor, Slovenia; Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, SI-2000 Maribor, Slovenia.
Rene MarkovičFaculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, SI-2000 Maribor, Slovenia; Faculty of Education, University of Maribor, Koroška cesta 160, SI-2000 Maribor, Slovenia; Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, SI-8270 Krško, Slovenia.
Jurij DolenšekInstitute of Physiology, Faculty of Medicine, University of Maribor, Taborska 8, SI-2000 Maribor, Slovenia.
Marjan Slak RupnikInstitute of Physiology, Faculty of Medicine, University of Maribor, Taborska 8, SI-2000 Maribor, Slovenia; Institute of Physiology and Pharmacology, Medical University of Vienna, Schwarzspanierstraße 17A, AU-1090 Vienna, Austria.
Marko MarhlFaculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, SI-2000 Maribor, Slovenia; Faculty of Education, University of Maribor, Koroška cesta 160, SI-2000 Maribor, Slovenia.
Andraž StožerInstitute of Physiology, Faculty of Medicine, University of Maribor, Taborska 8, SI-2000 Maribor, Slovenia. Electronic address: andraz.stozer@um.si.
Matjaž PercFaculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, SI-2000 Maribor, Slovenia; CAMTP - Center for Applied Mathematics and Theoretical Physics, University of Maribor, Mladinska 3, SI-2000 Maribor, Slovenia; Complexity Science Hub, Josefstädterstraße 39, A-1080 Vienna, Austria. Electronic address: matjaz.perc@um.si.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network science is today established as a backbone for description of structure and function of various physical, chemical, biological, technological, and social systems. Here we review recent advances in the study of complex biological systems that were inspired and enabled by methods of network science. First, we present research highlights ranging from determination of the molecular interaction network within a cell to studies of architectural and functional properties of brain networks and biological transportation networks. Second, we focus on synergies between network science and data analysis, which enable us to determine functional connectivity patterns in multicellular systems. Until now, this intermediate scale of biological organization received the least attention from the network perspective. As an example, we review the methodology for the extraction of functional beta cell networks in pancreatic islets of Langerhans by means of advanced imaging techniques. Third, we concentrate on the emerging field of multilayer networks and review the first endeavors and novel perspectives offered by this framework in exploring biological complexity. We conclude by outlining challenges and directions for future research that encompass utilization of the multilayer network formalism in exploring intercellular communication patterns in tissues, and we advocate for network science being one of the key pillars for assessing physiological function of complex biological systems-from organelles to organs-in health and disease.

Indexed as

Models, BiologicalBrainHumansIslets of LangerhansNerve NetBeta cellsBiological systemsCalcium signalingComplex networksIntercellular communicationMultilayer networks

Identifiers

What OpenQuestion holds

Textmetadata
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.