A global suppressor motif for p53 cancer mutants

Analysis of p53-RNA interactions in cultured human cells

Tumor suppressor p53 is a well-characterized transcription factor that binds DNA. More enigmatic are the RNA-binding properties of p53 and their physiological relevance. We used three sensitive co-immunoprecipitation methods in an attempt to detect RNAs that tightly associate with p53 in cultured human cells. Although recombinant p53 protein binds RNA in a sequence-nonspecific mode, we do not detect specific in vivo RNA binding by p53. These results suggest that RNA binding is prevented by post-translational p53 modifications. A ribonucleoprotein (not p53) is purified by multiple IgG monoclonal antibodies (including anti-p53 antibodies) from both p53 +/+ and p53 null cells. Caution is therefore required in interpreting RNA co-immunoprecipitation experiments. Though not formally excluded, these results do not support models in which p53 binds specific RNA partners in vivo.

Choosing where to look next in a mutation sequence space: Active Learning of informative p53 cancer rescue mutants

MOTIVATION

Many biomedical projects would benefit from reducing the time and expense of in vitro experimentation by using computer models for in silico predictions. These models may help determine which expensive biological data are most useful to acquire next. Active Learning techniques for choosing the most informative data enable biologists and computer scientists to optimize experimental data choices for rapid discovery of biological function. To explore design choices that affect this desirable behavior, five novel and five existing Active Learning techniques, together with three control methods, were tested on 57 previously unknown p53 cancer rescue mutants for their ability to build classifiers that predict protein function. The best of these techniques, Maximum Curiosity, improved the baseline accuracy of 56-77%. This article shows that Active Learning is a useful tool for biomedical research, and provides a case study of interest to others facing similar discovery challenges.

Selective killing of cancer cells by leaf extract of Ashwagandha: identification of a tumor-inhibitory factor and the first molecular insights to its effect

PURPOSE

Ashwagandha is regarded as a wonder shrub of India and is commonly used in Ayurvedic medicine and health tonics that claim its variety of health-promoting effects. Surprisingly, these claims are not well supported by adequate studies, and the molecular mechanisms of its action remain largely unexplored to date. We undertook a study to identify and characterize the antitumor activity of the leaf extract of ashwagandha.

EXPERIMENTAL DESIGN

Selective tumor-inhibitory activity of the leaf extract (i-Extract) was identified by in vivo tumor formation assays in nude mice and by in vitro growth assays of normal and human transformed cells. To investigate the cellular targets of i-Extract, we adopted a gene silencing approach using a selected small hairpin RNA library and found that p53 is required for the killing activity of i-Extract.

RESULTS

By molecular analysis of p53 function in normal and a variety of tumor cells, we found that it is selectively activated in tumor cells, causing either their growth arrest or apoptosis. By fractionation, purification, and structural analysis of the i-Extract constituents, we have identified its p53-activating tumor-inhibiting factor as with a none.

CONCLUSION

We provide the first molecular evidence that the leaf extract of ashwagandha selectively kills tumor cells and, thus, is a natural source for safe anticancer medicine.

Structure-function-rescue: the diverse nature of common p53 cancer mutants

The tumor suppressor protein p53 is inactivated by mutation in about half of all human cancers. Most mutations are located in the DNA-binding domain of the protein. It is, therefore, important to understand the structure of p53 and how it responds to mutation, so as to predict the phenotypic response and cancer prognosis. In this review, we present recent structural and systematic functional data that elucidate the molecular basis of how p53 is inactivated by different types of cancer mutation. Intriguingly, common cancer mutants exhibit a variety of distinct local structural changes, while the overall structural scaffold is largely preserved. The diverse structural and energetic response to mutation determines: (i) the folding state of a particular mutant under physiological conditions; (ii) its affinity for the various p53 target DNA sequences; and (iii) its protein-protein interactions both within the p53 tetramer and with a multitude of regulatory proteins. Further, the structural details of individual mutants provide the basis for the design of specific and generic drugs for cancer therapy purposes. In combination with studies on second-site suppressor mutations, it appears that some mutants are ideal rescue candidates, whereas for others simple pharmacological rescue by small molecule drugs may not be successful.

Heterogeneous biomedical database integration using a hybrid strategy: a p53 cancer research database

Complex problems in life science research give rise to multidisciplinary collaboration, and hence, to the need for heterogeneous database integration. The tumor suppressor p53 is mutated in close to 50% of human cancers, and a small drug-like molecule with the ability to restore native function to cancerous p53 mutants is a long-held medical goal of cancer treatment. The Cancer Research DataBase (CRDB) was designed in support of a project to find such small molecules. As a cancer informatics project, the CRDB involved small molecule data, computational docking results, functional assays, and protein structure data. As an example of the hybrid strategy for data integration, it combined the mediation and data warehousing approaches. This paper uses the CRDB to illustrate the hybrid strategy as a viable approach to heterogeneous data integration in biomedicine, and provides a design method for those considering similar systems. More efficient data sharing implies increased productivity, and, hopefully, improved chances of success in cancer research. (Code and database schemas are freely downloadable, http://www.igb.uci.edu/research/research.html.).

Structural biology of the tumor suppressor p53 and cancer-associated mutants

The tumor suppressor protein p53 is a transcription factor that plays a key role in the prevention of cancer development. In response to oncogenic or other stresses, the p53 protein is activated and regulates the expression of a variety of target genes, resulting in cell cycle arrest, senescence, or apoptosis. Mutation of the p53 gene is the most common genetic alteration in human cancer, affecting more than 50% of human tumors. Most of these mutations inactivate the DNA-binding domain of the protein. In this chapter, we describe the structure of the wild-type p53 protein and present structural and functional data that provide the molecular basis for understanding the effects of common cancer mutations. Further, we assess novel therapeutic strategies that aim to rescue the function of p53 cancer mutants.

The screening of the second-site suppressor mutations of the common p53 mutants

Second-site suppressor (SSS) mutations in p53 found by random mutagenesis have shown to restore the inactivated function of some tumor-derived p53. To screen novel SSS mutations against common mutant p53s, intragenic second-site (SS) mutations were introduced into mutant p53 cDNA in a comprehensive manner by using a p53 missense mutation library. The resulting mutant p53s with background and SS mutations were assayed for their ability to restore the p53 transactivation function in both yeast and human cell systems. We identified 12 novel SSS mutations including H178Y against a common mutation G245S. Surprisingly, the G245S phenotype is rescued when coexpressed with p53 bearing the H178Y mutation. This result indicated that there is a possibility that intragenic suppressor mutations might restore the protein function in an intermolecular manner. The intermolecular mechanism may lead to novel strategies for restoring inactivated p53 function and tumor suppression in cancer treatment.

Effects of oncogenic mutations and DNA response elements on the binding of p53 to p53-binding protein 2 (53BP2)

The tumor suppressor p53 is frequently mutated in human cancers. Upon activation it can induce cell cycle arrest or apoptosis. ASPP2 can specifically stimulate the apoptotic function of p53 but not cell cycle arrest, but the mechanism of enhancing the activation of pro-apoptotic genes over cell cycle arrest genes remains unknown. In this study, we analyzed the binding of 53BP2 (p53-binding protein 2, the C-terminal domain of ASPP2) to p53 core domain and various mutants using biophysical techniques. We found that several p53 core domain mutations (R181E, G245S, R249S, R273H) have different effects on the binding of DNA response elements and 53BP2. Further, we investigated the existence of a ternary complex consisting of 53BP2, p53, and DNA response elements to gain insight into the specific pro-apoptotic activation of p53. We found that binding of 53BP2 and DNA to p53 is mutually exclusive in the case of GADD45, p21, Bax, and PIG3. Both pro-apoptotic and non-apoptotic response elements were competed off p53 by 53BP2 with no indication of a ternary complex.

Correlation of p53 gene mutation and expression of P53 protein in cholangiocarcinoma

AIM: To characterize the tumor suppressor gene p53 mutations and study the correlation of p53 gene mutation and the expression of P53 protein in cholangiocarcinoma.

METHODS: A total of 36 unselected, frozen samples of cholangiocarcinoma were collected. p53 gene status(exon 5-8) and P53 protein were examined by automated sequencing and immunohistochemical staining, combined with the clinical parameters of patients.

RESULTS: p53 gene mutations were found in 22 of 36 (61.1%) patients. Nineteen of 36 (52.8%) patients were positive for P53 protein expression. There were significant differences in extent of differentiation and invasion between the positive and negative expression of P53 protein. However, there were no significant differences in pathologic parameters between the mutations and non-mutations.

CONCLUSION: The alterations of the p53 gene evaluated by DNA sequence analysis is relatively accurate. Expression of P53 protein could not act as an independent index to estimate the prognosis of cholangiocarcinoma.

Inactive full-length p53 mutants lacking dominant wild-type p53 inhibition highlight loss of heterozygosity as an important aspect of p53 status in human cancers

Over 1000 different mutants of the tumor suppressor protein p53 with one amino acid change in the core domain have been reported in human cancers. In mouse knock-in models, two frequent mutants displayed loss of wild-type (wt) p53 function, inhibition of wt p53 and wt p53-independent gain of function. The remaining mutants have been systematically characterized for loss of wt p53 function, but not other phenotypes. We report the concomitant assessment of loss of function and interference with wt p53 using URA3-based p53 yeast and confirmatory mammalian assays. We studied 76 mutants representing 54% of over 15 000 reported missense core domain mutations. The majority showed the expected complete loss of wt p53 function and dominant p53 inhibition. A few infrequent p53 mutants had wt p53-like activity. Remarkably, one-third showed no interference with wt p53 despite loss of wt p53 function at 37 degrees C. Half of this group consisted of temperature-sensitive p53 mutants, but the other half was surprisingly made up of mutants with complete loss of wt p53 function. Our findings illustrate the diverse behavior of p53 mutants and mechanisms of malignant transformation by p53 mutants. The identification of full-length p53 mutants without dominant inhibition of wt p53 highlights the importance of determining the status of the wt p53 allele in human cancers, in particular in the context of clinical studies. In the case of p53 mutants with no or weak dominant p53 inhibition, presence of the wt allele may indicate a good prognosis cancer, whereas loss of heterozygosity may spell an aggressive, therapy-resistant cancer.

Functional census of mutation sequence spaces: the example of p53 cancer rescue mutants

Many biomedical problems relate to mutant functional properties across a sequence space of interest, e.g., flu, cancer, and HIV. Detailed knowledge of mutant properties and function improves medical treatment and prevention. A functional census of p53 cancer rescue mutants would aid the search for cancer treatments from p53 mutant rescue. We devised a general methodology for conducting a functional census of a mutation sequence space by choosing informative mutants early. The methodology was tested in a double-blind predictive test on the functional rescue property of 71 novel putative p53 cancer rescue mutants iteratively predicted in sets of three (24 iterations). The first double-blind 15-point moving accuracy was 47 percent and the last was 86 percent; r = 0.01 before an epiphanic 16th iteration and r = 0.92 afterward. Useful mutants were chosen early (overall r = 0.80). Code and data are freely available (http://www.igb.uci.edu/research/research.html, corresponding authors: R.H.L. for computation and R.K.B. for biology).

Heterogeneous Biomedical Database Integration using a Hybrid Strategy: A P53 Cancer Research Database

Complex problems in life science research give rise to multidisciplinary collaboration, and hence, to the need for heterogeneous database integration. The tumor suppressor p53 is mutated in close to 50% of human cancers, and a small drug-like molecule with the ability to restore native function to cancerous p53 mutants is a long-held medical goal of cancer treatment. The Cancer Research DataBase (CRDB) was designed in support of a project to find such small molecules. As a cancer informatics project, the CRDB involved small molecule data, computational docking results, functional assays, and protein structure data. As an example of the hybrid strategy for data integration, it combined the mediation and data warehousing approaches. This paper uses the CRDB to illustrate the hybrid strategy as a viable approach to heterogeneous data integration in biomedicine, and provides a design method for those considering similar systems. More efficient data sharing implies increased productivity, and, hopefully, improved chances of success in cancer research. (Code and database schemas are freely downloadable, http://www.igb.uci.edu/research/research.html .)

Targeting p53 by PTD-mediated transduction

p53 is a major target for tumor therapy. Attempts have been made to restore or enhance p53 activity in tumor cells, including overexpression of exogenous p53 and small molecules that can rescue mutant p53. Notably, p53 peptides corresponding to the p53 carboxyl terminus can trigger a p53 response in both wild-type or mutant p53-containing cells. The recent protein transduction domain (PTD)-mediated cell entry might solve the obstacle of efficient delivery of peptides or large molecular biological cargos into cells. PTD-mediated transfer through the cell membrane occurs through a kind of endocytosis, macropinocytosis. Destabilization of macropinocytosomes by the influenza virus hemagglutinin protein (HA2) helps the escape of the PTD-cargo from macropinocytosomes and therefore significantly enhances the functional impact of transduced cargo.

Structures of p53 cancer mutants and mechanism of rescue by second-site suppressor mutations

We have solved the crystal structures of three oncogenic mutants of the core domain of the human tumor suppressor p53. The mutations were introduced into a stabilized variant. The cancer hot spot mutation R273H simply removes an arginine involved in DNA binding without causing structural distortions in neighboring residues. In contrast, the "structural" oncogenic mutations H168R and R249S induce substantial structural perturbation around the mutation site in the L2 and L3 loops, respectively. H168R is a specific intragenic suppressor mutation for R249S. When both cancer mutations are combined in the same molecule, Arg(168) mimics the role of Arg(249) in wild type, and the wild type conformation is largely restored in both loops. Our structural and biophysical data provide compelling evidence for the mechanism of rescue of mutant p53 by intragenic suppressor mutations and reveal features by which proteins can adapt to deleterious mutations.

p53: a heavily dictated dictator of life and death

In 2003, a p53-expressing adenovirus was approved as a cancer therapy drug in China. Consequently, there has been a surge in the need to understand the regulation of wild type p53 function in vivo. The majority of the progress made during the past two years has focused on the cellular factors and post-translational modifications that regulate the expression levels and activities of p53 in response to stress signals.