Linda V. Hall

Computational identification of a transiently open L1/S3 pocket for reactivation of mutant p53

The tumour suppressor p53 is the most frequently mutated gene in human cancer. Reactivation of mutant p53 by small molecules is an exciting potential cancer therapy. Although several compounds restore wild-type function to mutant p53, their binding sites and mechanisms of action are elusive. Here computational methods identify a transiently open binding pocket between loop L1 and sheet S3 of the p53 core domain. Mutation of residue Cys124, located at the centre of the pocket, abolishes p53 reactivation of mutant R175H by PRIMA-1, a known reactivation compound. Ensemble-based virtual screening against this newly revealed pocket selects stictic acid as a potential p53 reactivation compound. In human osteosarcoma cells, stictic acid exhibits dose-dependent reactivation of p21 expression for mutant R175H more strongly than does PRIMA-1. These results indicate the L1/S3 pocket as a target for pharmaceutical reactivation of p53 mutants.

Radiation hybrid map of 13 loci on the long arm of chromosome 5

Radiation hybrid mapping was used in conjunction with a natural deletion mapping panel to predict the order of and distance between 13 loci in the distal portion of the long arm of human chromosome 5. A panel of irradiation hybrids containing fragments of 5q was generated from an HPRT+ Chinese hamster-human cell hybrid containing a derivative chromosome 5 [der(5)t(4;5)(5qter----5p15.1::4p15.1----4pter)] as its only human DNA. One hundred nine radiation hybrids containing human DNA were screened with polymerase chain reaction primer sets representing nine genes encoding growth factors, growth factor receptors, or hormone receptors (IL3, IL4, IL5, CSF1R, FGFA, ADRB2, GRL, GABRA1, and DRD1) as well as four other loci (FER, SPARC, RPS14, and CD14) to generate a radiation hybrid map of the area 5q21-q35. A physical map predicting the order of and distance between the 13 loci was constructed based on segregation of the 13 loci in hybrid clones. The radiation hybrid panel will be useful as a mapping tool for determining the location and order of other genes and polymorphic loci in this region as well as for generating new DNA probes from specific regions.

Genetic demonstration of mitotic recombination in cultured chinese hamster cell hybrids

Chinese hamster ovary cell hybrids were constructed that are heterozygous for two markers, leuS and emtB, linked to the long arm of chromosome 2. In addition, the chromosome 2 carrying the wild-type leuS and emtB alleles contains, on its short arm, a homogeneously staining region (hsr) in which the gene encoding dihydrofolate reductase (dhfr) is amplified approximately 50-fold. This provides a convenient cytogenetic and biochemical means to distinguish the chromosome 2s from the different parents. Analysis of emetine-resistant segregants isolated from such hybrids identified three distinct classes of segregants. One rare class of segregants loses the wild-type leuS and emtB gene functions on the long arm of the hsr chromosome 2 (H-2) but retains the amplified dhfr genes on the opposite arm. Detailed genetic analysis of two such segregants that did not arise by chromosome loss or deletion revealed that new gene linkage relationships had been established on the H-2 chromosome in each, demonstrating that the segregation events in these cell lines involved mitotic recombination.

Predicting Positive p53 Cancer Rescue Regions Using Most Informative Positive (MIP) Active Learning

Many protein engineering problems involve finding mutations that produce proteins with a particular function. Computational active learning is an attractive approach to discover desired biological activities. Traditional active learning techniques have been optimized to iteratively improve classifier accuracy, not to quickly discover biologically significant results. We report here a novel active learning technique, Most Informative Positive (MIP), which is tailored to biological problems because it seeks novel and informative positive results. MIP active learning differs from traditional active learning methods in two ways: (1) it preferentially seeks Positive (functionally active) examples; and (2) it may be effectively extended to select gene regions suitable for high throughput combinatorial mutagenesis. We applied MIP to discover mutations in the tumor suppressor protein p53 that reactivate mutated p53 found in human cancers. This is an important biomedical goal because p53 mutants have been implicated in half of all human cancers, and restoring active p53 in tumors leads to tumor regression. MIP found Positive (cancer rescue) p53 mutants in silico using 33% fewer experiments than traditional non-MIP active learning, with only a minor decrease in classifier accuracy. Applying MIP to in vivo experimentation yielded immediate Positive results. Ten different p53 mutations found in human cancers were paired in silico with all possible single amino acid rescue mutations, from which MIP was used to select a Positive Region predicted to be enriched for p53 cancer rescue mutants. In vivo assays showed that the predicted Positive Region: (1) had significantly more (p<0.01) new strong cancer rescue mutants than control regions (Negative, and non-MIP active learning); (2) had slightly more new strong cancer rescue mutants than an Expert region selected for purely biological considerations; and (3) rescued for the first time the previously unrescuable p53 cancer mutant P152L.

Ensemble-based computational approach discriminates functional activity of p53 cancer and rescue mutants.

The tumor suppressor protein p53 can lose its function upon single-point missense mutations in the core DNA-binding domain (“cancer mutants”). Activity can be restored by second-site suppressor mutations (“rescue mutants”). This paper relates the functional activity of p53 cancer and rescue mutants to their overall molecular dynamics (MD), without focusing on local structural details. A novel global measure of protein flexibility for the p53 core DNA-binding domain, the number of clusters at a certain RMSD cutoff, was computed by clustering over 0.7 µs of explicitly solvated all-atom MD simulations. For wild-type p53 and a sample of p53 cancer or rescue mutants, the number of clusters was a good predictor of in vivo p53 functional activity in cell-based assays. This number-of-clusters (NOC) metric was strongly correlated (r2 = 0.77) with reported values of experimentally measured ΔΔG protein thermodynamic stability. Interpreting the number of clusters as a measure of protein flexibility: (i) p53 cancer mutants were more flexible than wild-type protein, (ii) second-site rescue mutations decreased the flexibility of cancer mutants, and (iii) negative controls of non-rescue second-site mutants did not. This new method reflects the overall stability of the p53 core domain and can discriminate which second-site mutations restore activity to p53 cancer mutants.

Isolation of a novel mildly repetitive DNA sequence that is predominantly located at the terminus of the short arm of chromosome 4 near the Huntington disease gene

A novel mildly repetitive DNA sequence that is reiterated approximately 20 times in the human genome has been isolated and characterized. Most of the repeat units are localized very near the terminus of the short arm of chromosome 4 (4p) in the region known to contain the Huntington disease (HD) gene. A cloned probe that detects the repeated sequence reveals a restriction fragment length polymorphism that is close to and/or distal to the most distal genetic locus on 4p. This probe, therefore, provides a new genetic marker very close to and possibly flanking the HD gene. In addition, this probe should prove very useful for detailed physical mapping of the most distal region of 4p around the HD gene. The few (two or three) copies of this repeat not located near the terminus of 4p are located near the ends of two other chromosomes, 14 and 21.

All-codon scanning identifies p53 cancer rescue mutations

In vitro scanning mutagenesis strategies are valuable tools to identify critical residues in proteins and to generate proteins with modified properties. We describe the fast and simple All-Codon Scanning (ACS) strategy that creates a defined gene library wherein each individual codon within a specific target region is changed into all possible codons with only a single codon change per mutagenesis product. ACS is based on a multiplexed overlapping mutagenesis primer design that saturates only the targeted gene region with single codon changes. We have used ACS to produce single amino-acid changes in small and large regions of the human tumor suppressor protein p53 to identify single amino-acid substitutions that can restore activity to inactive p53 found in human cancers. Single-tube reactions were used to saturate defined 30-nt regions with all possible codon changes. The same technique was used in 20 parallel reactions to scan the 600-bp fragment encoding the entire p53 core domain. Identification of several novel p53 cancer rescue mutations demonstrated the utility of the ACS approach. ACS is a fast, simple and versatile method, which is useful for protein structure–function analyses and protein design or evolution problems.

CHOPER Filters Enable Rare Mutation Detection in Complex Mutagenesis Populations by Next-Generation Sequencing

Next-generation sequencing (NGS) has revolutionized genetics and enabled the accurate identification of many genetic variants across many genomes. However, detection of biologically important low-frequency variants within genetically heterogeneous populations remains challenging, because they are difficult to distinguish from intrinsic NGS sequencing error rates. Approaches to overcome these limitations are essential to detect rare mutations in large cohorts, virus or microbial populations, mitochondria heteroplasmy, and other heterogeneous mixtures such as tumors. Modifications in library preparation can overcome some of these limitations, but are experimentally challenging and restricted to skilled biologists. This paper describes a novel quality filtering and base pruning pipeline, called Complex Heterogeneous Overlapped Paired-End Reads (CHOPER), designed to detect sequence variants in a complex population with high sequence similarity derived from All-Codon-Scanning (ACS) mutagenesis. A novel fast alignment algorithm, designed for the specified application, has O(n) time complexity. CHOPER was applied to a p53 cancer mutant reactivation study derived from ACS mutagenesis. Relative to error filtering based on Phred quality scores, CHOPER improved accuracy by about 13% while discarding only half as many bases. These results are a step toward extending the power of NGS to the analysis of genetically heterogeneous populations.