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Cell Death and Differentiation
Article . 2017 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Cell Death and Differentiation
Article
License: CC BY NC ND
Data sources: UnpayWall
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PubMed Central
Other literature type . 2018
License: CC BY NC ND
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Mutant p53 partners in crime

Authors: Kim, Michael P; Lozano, Guillermina;

Mutant p53 partners in crime

Abstract

Mutant p53 proteins impart changes in cellular behavior and function through interactions with proteins that alter gene expression. The milieu of intracellular proteins available to interact with mutant p53 is context specific and changes with disease, cell type, and environmental conditions. Varying conformations of mutant p53 largely dictate protein-protein interactions as different point mutations within protein-coding regions greatly alter the extent and array of gain-of-function (GOF) activities. Given such variables, how can knowledge regarding p53 missense mutations be translated into predicting or altering biologic activity for therapy? How may knowledge regarding mutant p53 functions within certain disease contexts be harnessed to blunt or ablate mutant p53 GOF for therapy? In this article, we review known proteins that interact with mutant p53 and result in the activation of genes that contribute to p53 GOF with particular emphasis on context dependency and an evolving appreciation of GOF mechanisms.

Related Organizations
Keywords

Transcriptional Activation, Gain of Function Mutation, Neoplasms, Mutation, Missense, Humans, Review, Tumor Suppressor Protein p53, Transcription Factors

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
257
Top 1%
Top 10%
Top 1%
Green
hybrid