Evidence map›Paper›PMID 29258225›Full record

ArticleBiology2017

Stability of Signaling Pathways during Aging-A Boolean Network Approach.

Julian Daniel Schwab, Lea Siegle, Silke Daniela Kühlwein, Michael Kühl, Hans Armin Kestler

Open access · goldAbstract read
In one paragraph

Article in Biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Concepts in Boolean network modeling: What do they all mean?Computational and structural biotechnology journal · 2020
    Review
  7. Article
  8. 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

5 authors at 1 institution in 1 country.

Julian Daniel SchwabInstitute of Medical Systems Biology, Ulm University, 89069 Ulm, Germany. julian.schwab@uni-ulm.de.
Lea SiegleInstitute of Medical Systems Biology, Ulm University, 89069 Ulm, Germany. lea.siegle@uni-ulm.de.
Silke Daniela KühlweinInstitute of Medical Systems Biology, Ulm University, 89069 Ulm, Germany. silke.kuehlwein@uni-ulm.de.
Michael KühlInstitute of Biochemistry and Molecular Biology, Ulm University, 89069 Ulm, Germany. michael.kuehl@uni-ulm.de.
Hans Armin KestlerInstitute of Medical Systems Biology, Ulm University, 89069 Ulm, Germany. hans.kestler@uni-ulm.de.
Universität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological pathways are thought to be robust against a variety of internal and external perturbations. Fail-safe mechanisms allow for compensation of perturbations to maintain the characteristic function of a pathway. Pathways can undergo changes during aging, which may lead to changes in their stability. Less stable or less robust pathways may be consequential to or increase the susceptibility of the development of diseases. Among others, NF- κ B signaling is a crucial pathway in the process of aging. The NF- κ B system is involved in the immune response and dealing with various internal and external stresses. Boolean networks as models of biological pathways allow for simulation of signaling behavior. They can help to identify which proposed mechanisms are biologically representative and which ones function but do not mirror physical processes-for instance, changes of signaling pathways during the aging process. Boolean networks can be inferred from time-series of gene expression data. This allows us to get insights into the changes of behavior of pathways such as NF- κ B signaling in aged organisms in comparison to young ones.

Indexed as

agingBoolean networksreconstructionstability

Identifiers

PMID29258225
PMCPMC5745451
OpenAlexW2778511807

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.