Simplify p53: just an activator

Simplify p53: just an activator

'Simplify your life.' In research-contrasting such a popular concept-we are challenged by an ever-expanding plethora of observations and accumulation of knowledge. This leads to the development of increasingly complex models trying to explain all aspects of our world that are subject to scientific endeavor. Recently, a well-known object of study from the life sciences, the tumor suppressor p53,...

The transcription factor p53: Not a repressor, solely an activator

The predominant function of the tumor suppressor p53 is transcriptional regulation. It is generally accepted that p53-dependent transcriptional activation occurs by binding to a specific recognition site in promoters of target genes. Additionally, several models for p53-dependent transcriptional repression have been postulated. Here, we evaluate these models based on a computational meta-analys...

p53 regulates its own activator: transcriptional co-activator PC4, a new p53-responsive gene.

The tumour suppressor protein p53 regulates the expression of several genes that mediate cell cycle arrest, apoptosis, DNA repair and other cellular responses. Recently, we have shown that human transcriptional co-activator PC4 is a unique activator of p53 function. In the present study, we report that PC4 is a p53-inducible gene. Bioinformatics analysis reveals multiple p53-binding sites in th...

An Algorithm to Simplify Tensor Expressions

The problem of simplifying tensor expressions is addressed in two parts. The first part presents an algorithm designed to put tensor expressions into a canonical form, taking into account the symmetries with respect to index permutations and the renaming of dummy indices. The tensor indices are split into classes and a natural place for them is defined. The canonical form is the closest configu...

A Block-Based Bytecode Format to Simplify and Improve Just-in-Time Compilation