Literature DB >> 16138827

Functional analysis of p53 tumor suppressor in yeast.

Jana Smardová1, Jan Smarda, Jana Koptíková.   

Abstract

The p53 tumor suppressor protein is a transcription factor that mediates the cell's response to various kinds of stress by preventing cell division and/or inducing apoptosis. p53 gene mutations have been detected in nearly 50% of human cancers. These gene aberrations are mostly missense point mutations located predominantly in the central DNA-binding domain. In addition to the classical inactivating mutations, there are also dominant-negative, gain-of-function, temperature-sensitive, and cold-sensitive, discriminating, superactive p53 mutations, and some mutations that do not inactivate p53 activity. Several approaches have been developed for detection and analyses of p53 mutations: first, immunochemical methods have been developed to detect p53 protein levels; second, molecular analyses targeting changes in DNA structure are utilized; and third, functional assays are used to explore the biological properties of the p53 protein. Functional analysis of separated alleles in yeast targets the transactivation capability of the p53 protein expressed in yeast cells. This method uses p53 mRNA isolated from cells and tissues to produce a p53 product by RT-PCR. This method has undergone continuous improvement and now serves as a powerful tool for distinguishing various functional types of p53 mutations. Understanding the exact impact of p53 mutation on its function is an important prerequisite for establishment of efficient anti-cancer therapies.

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Year:  2005        PMID: 16138827     DOI: 10.1111/j.1432-0436.2005.00028.x

Source DB:  PubMed          Journal:  Differentiation        ISSN: 0301-4681            Impact factor:   3.880


  10 in total

1.  Mitochondria from Dipodascus (Endomyces) magnusii and Yarrowia lipolytica yeasts did not undergo a Ca²⁺-dependent permeability transition even under anaerobic conditions.

Authors:  Tat'yana Trendeleva; Evgeniya Sukhanova; Ludmila Ural'skaya; Nils-Erik Saris; Renata Zvyagilskaya
Journal:  J Bioenerg Biomembr       Date:  2011-12       Impact factor: 2.945

Review 2.  Applications of the human p53 knock-in (Hupki) mouse model for human carcinogen testing.

Authors:  Ahmad Besaratinia; Gerd P Pfeifer
Journal:  FASEB J       Date:  2010-04-06       Impact factor: 5.191

3.  Quantitation of minimal residual disease in patients with chronic lymphocytic leukemia using locked nucleic acid-modified, fluorescently labeled hybridization probes and real-time PCR technology.

Authors:  Sona Peková; Ludmila Bezdícková; Lukás Smolej; Tomás Kozák; Ivana Hochová; Pavel Zák; Lucie Tomsíková; Miroslav Průcha
Journal:  Mol Diagn Ther       Date:  2007       Impact factor: 4.074

Review 4.  Tumor suppressor stars in yeast G1/S transition.

Authors:  Pan Li; Zhimin Hao; Fanli Zeng
Journal:  Curr Genet       Date:  2020-11-11       Impact factor: 3.886

5.  N-terminal domain of nuclear IL-1α shows structural similarity to the C-terminal domain of Snf1 and binds to the HAT/core module of the SAGA complex.

Authors:  Blanka Zamostna; Josef Novak; Vaclav Vopalensky; Tomas Masek; Ladislav Burysek; Martin Pospisek
Journal:  PLoS One       Date:  2012-08-06       Impact factor: 3.240

6.  Genomic analysis of a riboflavin-overproducing Ashbya gossypii mutant isolated by disparity mutagenesis.

Authors:  Tatsuya Kato; Junya Azegami; Ami Yokomori; Hideo Dohra; Hesham A El Enshasy; Enoch Y Park
Journal:  BMC Genomics       Date:  2020-04-23       Impact factor: 3.969

Review 7.  Exploring absent protein function in yeast: assaying post translational modification and human genetic variation.

Authors:  Christina S Moesslacher; Johanna M Kohlmayr; Ulrich Stelzl
Journal:  Microb Cell       Date:  2021-07-02

Review 8.  Programmed cell death detection methods: a systematic review and a categorical comparison.

Authors:  Sana Kari; Kumar Subramanian; Ilenia Agata Altomonte; Akshaya Murugesan; Olli Yli-Harja; Meenakshisundaram Kandhavelu
Journal:  Apoptosis       Date:  2022-06-17       Impact factor: 5.561

9.  More targets, more pathways and more clues for mutant p53.

Authors:  S Garritano; A Inga; F Gemignani; S Landi
Journal:  Oncogenesis       Date:  2013-07-01       Impact factor: 7.485

Review 10.  Heterogeneity of TP53 Mutations and P53 Protein Residual Function in Cancer: Does It Matter?

Authors:  Paola Monti; Paola Menichini; Andrea Speciale; Giovanna Cutrona; Franco Fais; Elisa Taiana; Antonino Neri; Riccardo Bomben; Massimo Gentile; Valter Gattei; Manlio Ferrarini; Fortunato Morabito; Gilberto Fronza
Journal:  Front Oncol       Date:  2020-10-28       Impact factor: 6.244

  10 in total

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