PubMed Health⌕ Search

PubMed · 8603071

p53 and translational control.

Abstract

The tumor suppressor p53 plays a role in mediating a G1 arrest (for example, in response to DNA damage), in the cellular commitment to apoptosis and in suppression of transformation. The mechanism of action of p53 in each of these biological outcomes is likely to be overlapping. Current data indicate that p53 functions as a sequence specific transcriptional activator. p53 can also repress transcription from certain promoters. One way in which p53 mediates a G1 arrest after DNA damage appears to be clear. Cells exposed to ionizing radiation show elevated levels of p53 protein. The increase in p53 levels is thought to be responsible for the increase in the cyclin-dependent kinase (cdk) inhibitor p21 mediated through the p53 binding sites in the p21 promoter. With regard to the ability of p53 to suppress transformation, there is data suggesting that p53 functions other than, or in addition to, its transcriptional activation function may be necessary. Similar data exist for p53-dependent apoptosis. Recently a role for p53 at another level of gene regulation, namely, translational regulation has been proposed. p53 associates with various components of the translation machinery and has been implicated in the translational regulation of both the p53 and CDK4 mRNAs. Here we will summarize the evidence suggesting a role for p53 in translation and how this regulation might be achieved.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M E Ewen, S J Miller. 1996-03-18. p53 and translational control.. https://doi.org/10.1016/0304-419x(95)00010-d

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

scPOEM: robust co-embedding of peaks and genes revealing peak-gene regulation.

MOTIVATION: Identifying regulatory elements in various chromosomal regions that influence gene expression is a fundamental challenge in epigenomics, with profound implications for understanding gene regulation and disease mechanisms. The advent of paired single-cell RNA sequencing and single-cell ATAC sequencing has created unprecedented opportunities to address this challenge by enabling simultaneous profiling of gene expression and chromatin accessibility at single-cell resolution. However, the inherent signals between them are weak due to the highly sparse and noisy nature of data. RESULTS: This article proposes single-cell meta-Path based Omics Embedding (scPOEM), a novel embedding method that jointly projects chromatin accessibility peaks and expressed genes into a shared low-dimensional space. By integrating the relationships among peak-peak, peak-gene, and gene-gene interactions, scPOEM assigns closer representations in the embedding space to related peak-gene pairs. Our experiments demonstrate that scPOEM generates stable representations of peaks and genes, outperforms existing methods in recovering biologically meaningful peak-gene regulatory relationships and enables new insights in subgroup and differential analysis of gene regulation. These results highlight its potential to uncover gene regulatory mechanisms and enhance the understanding of transcriptional regulation at single-cell resolution. AVAILABILITY AND IMPLEMENTATION: The source code of scPOEM is available at https://github.com/Houyt23/scPOEM. The datasets can be obtained from the 10× Genomics (https://www.10xgenomics.com/datasets/pbmc-from-a-healthy-donor-granulocytes-removed-through-cell-sorting-10-k-1-standard-1-0-0) and GEO database under access codes GSE194122 and GSE239916.

Gene Expression Regulation↗

Temperature compensation through systems biology.

Temperature has a strong influence on most individual biochemical reactions. Despite this, many organisms have the remarkable ability to keep certain physiological fluxes approximately constant over an extended temperature range. In this study, we show how temperature compensation can be considered as a pathway phenomenon rather than the result of a single-enzyme property. Using metabolic control analysis, it is possible to identify reaction networks that exhibit temperature compensation. Because most activation enthalpies are positive, temperature compensation of a flux can occur when certain control coefficients are negative. This can be achieved in networks with branching reactions or if the first irreversible reaction is regulated by a feedback loop. Hierarchical control analysis shows that networks that are dynamic through regulated gene expression or signal transduction may offer additional possibilities to bring the apparent activation enthalpies close to zero and lead to temperature compensation. A calorimetric experiment with yeast provides evidence that such a dynamic temperature adaptation can actually occur.

Gene Expression Regulation↗

A windfall for RNA.

Explore the source record for details and available documents.

Gene Expression Regulation↗