Evidence map›Paper›PMID 36518138›Full record

ArticleBioinformation2022

Insights from the p53 induced TIGAR protein 2 in the glycolytic pathway model.

Mohammad Jahoor Alam

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Mohammad Jahoor AlamDepartment of Biology, College of Science, University of Hail, Kingdom of Saudi Arabia.
University of Ha'il · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TIGAR is a p53 inducible gene that triggers changes in glycolytic metabolic pathway states. It is known that TIGAR expression lowers the fructose - 2, 6-bisphosphate levels resulting in an inhibition of glycolysis and decrease in intracellular ROS levels. Therefore, it is interesting to document data on p53 induced TIGAR protein 2 in the glycolytic pathway. We describe a two-oscillator model consisting of the p53-Mdm2 network and glycolytic pathway with the TIGAR protein. The numerical simulation of the model shows the suppression of glycolytic oscillation as the level of TIGAR protein increases in agreement with the experimental results reported. Thus, stochastic simulation data helps to understand the realistic behaviour in the pathway.

Indexed as

Glycolytic pathwaynumerical simulationOscillationp53TIGAR

Identifiers

PMID36518138
PMCPMC9722439
OpenAlexW4292559688

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.