Evidence map›Paper›PMID 30414156›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

Mathematical Modeling of Nuclear Trafficking of FOXO Transcription Factors.

Bradford E Peercy, Martin F Schneider

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 85% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Bradford E PeercyDepartment of Mathematics and Statistics, University of Maryland, Baltimore, MD, USA.
Martin F SchneiderDepartment of Biochemistry and Molecular Biology, University of Maryland School of Medicine, Baltimore, MD, USA. mschneider@som.umaryland.edu.
University of Maryland, Baltimore · US

Funding

Roles of voltage sensor, S100A1 and calmodulin in skeletal muscle Ca2+ signalingR37AR055099 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI SCHNEIDER, MARTIN F · 2012 to 2021
$3.5M
NIAMS NIH HHS R37 AR055099
6 · The paper itself

Abstract

Nuclear cytoplasmic flux of Foxo transcription factors is paramount in cellular gene regulation. For example, excluding Foxo from skeletal muscle nuclei is necessary to avoid muscle wasting through elevated protein breakdown. Constructing a mathematical model of the signaling process leading to alteration of Foxo nuclear cytoplasm ratio is useful in predicting and interpreting such ratio changes. In this chapter we derive a general mathematical model for nuclear cytoplasmic flux. We apply this model to Foxo flux and take advantage of rapid phosphorylation approximation and conservation conditions to reduce the Foxo flux model. We constrain our model with data from mouse skeletal muscle with applied IGF. This procedure provides an example of what might be called the central approach of mathematical modeling: The cycling of a biological question through mathematical formulation and back to biological interpretation.

Indexed as

Models, TheoreticalProtein TransportAlgorithmsCell NucleusCytoplasmForkhead Transcription FactorsMuscle, SkeletalPhosphorylationProtein Processing, Post-TranslationalForkhead Transcription FactorsFoxo transcription factorMathematical modelingNuclear cytoplasmic fluxSkeletal muscle

Identifiers

PMID30414156
PMCPMC7791573
OpenAlexW2899687016

What OpenQuestion holds

Textmetadata
LicenceTDM
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.