Evidence map›Paper›PMID 24069559›Full record

ReviewJAK-STAT2013

Computational models of the JAK1/2-STAT1 signaling.

Anna Gambin, Agata Charzyńska, Aleksandra Ellert-Miklaszewska, Mikołaj Rybiński

Abstract readReview
In one paragraph

Review in JAK-STAT, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  12. Understanding the mTOR signaling pathway via mathematical modeling.Wiley interdisciplinary reviews. Systems biology and medicine · 2017
    Review
  13. Article
  14. Article
  15. Article
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

4 authors.

Anna GambinInstitute of Informatics; University of Warsaw; Warsaw, Poland ; Mossakowski Medical Research Centre; Polish Academy of Sciences; Warsaw, Poland.
Agata Charzyńska
Aleksandra Ellert-Miklaszewska
Mikołaj Rybiński

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite a conceptually simple mechanism of signaling, the JAK-STAT pathway exhibits considerable behavioral complexity. Computational pathway models are tools to investigate in detail signaling process. They integrate well with experimental studies, helping to explain molecular dynamics and to state new hypotheses, most often about the structure of interactions. A relatively small amount of experimental data is available for a JAK1/2-STAT1 variant of the pathway, hence, only several computational models were developed. Here we review a dominant approach of kinetic modeling of the JAK1/2-STAT1 pathway, based on ordinary differential equations. We also give a brief overview of attempts to computationally infer topology of this pathway.

Indexed as

computational modelIFN signalingJAK1/2-STAT1 pathwaykineticsmathematical modelingnetwork inference

Identifiers

PMID24069559
PMCPMC3772111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.