Needle-in-a-haystack detection and identification of base substitution mutations in human tissues

From Structure-Function Analyses to Protein Engineering for Practical Applications of DNA Ligase

DNA ligases are indispensable in all living cells and ubiquitous in all organs. DNA ligases are broadly utilized in molecular biology research fields, such as genetic engineering and DNA sequencing technologies. Here we review the utilization of DNA ligases in a variety of in vitro gene manipulations, developed over the past several decades. During this period, fewer protein engineering attempts for DNA ligases have been made, as compared to those for DNA polymerases. We summarize the recent progress in the elucidation of the DNA ligation mechanisms obtained from the tertiary structures solved thus far, in each step of the ligation reaction scheme. We also present some examples of engineered DNA ligases, developed from the viewpoint of their three-dimensional structures.

Detection of known mutations for medical diagnostics by FRET spectroscopy

A rapid, simple and low-cost method for the detection of known mutations in DNA oligonucleotide in a biothreat agent, Bacillus anthracis, has been reported. The technique is based on fluorescence resonance energy transfer (FRET), that utilizes a cationic conjugated polymer and a PNA probe labeled with Fluorescein dye (PNAC*). When the PNA probe is hybridized with a complementary target ssDNA and its mutated sequences separately, the energy transfer from polymer to PNAC*/ssDNA complex decreases with increasing number of mutations. It means that the efficiency of FRET or the degree of hybridization depends on the extent of mutations in the DNA sequence. The method is sensitive enough to detect upto 4 bases mismatch. We have, thus, explored a possible application of fluorescence-based technology for medical diagnostics.

Quantifying mixed populations of drug-resistant human immunodeficiency virus type 1

In order to survive prolonged treatment with antiretroviral nucleoside analogs, the human immunodeficiency virus type 1 (HIV-1) is selectively forced to acquire mutations in the reverse transcriptase (RT) gene. Some of these mutations are more common than others and have become markers for antiretroviral resistance. For the early detection of these markers, a novel MultiCode-RTx one-step testing system to rapidly and simultaneously characterize mixtures of HIV-1 targets was designed. For cDNA, nucleotide polymorphisms for codon M184V (ATG to GTG) and K65R (AAA to AGA) could be differentiated and quantified even when the population mixture varied as much as 1 to 10,000. Standard mixed-population curves using 1 to 100% of the mutant or wild type generated over 4 logs of total viral particle input did not affect the overall curves, making the method robust. The system was also applied to a small set of samples extracted from infected individuals on nucleoside reverse transcriptase inhibitor therapy. Of 13 samples tested, all were positive for HIV and 10 of the 13 genotypes determined were concordant with the line probe assay. MultiCode-RTx could be applied to other drug-selected mutations in the viral genome or for applications where single-base changes in DNA or RNA occur at frequencies reaching 0.01% to 1%, respectively.

PCR-based detection of minority point mutations

The need for detection of minority mutations (i.e., a few mutants within a high excess of wild-type alleles) arises frequently in the field of cancer and molecular genetics. Current mutation detection technologies are limited by several technical factors when it comes to the detection of minority point mutations, including generation of misincorporations by the DNA polymerase during PCR amplification. Primer ligation-mediated PCR methodologies for detection of mutations in an excess wild-type sequences are described, that can be applied for detection of both known and unknown minority point mutations. Furthermore, a new methodology is described, hairpin-PCR, which has the potential to completely eliminate PCR errors from amplified sequences, prior to minority mutation detection. Combination of these technologies can effectively tackle the problem of minority mutation detection, in order to pursue demanding applications such as identification of cancer cells at an early stage, detection of mutations in single cells, identification of minimal residual disease, or investigation of mechanisms of spontaneous mutagenesis.

Ligation of high-melting-temperature 'clamp' sequence extends the scanning range of rare point-mutational analysis by constant denaturant capillary electrophoresis (CDCE) to most of the human genome

Mutations cause or influence the prevalence of many diseases. In human tissues, somatic point mutations have been observed at fractions at or below 4/10,000 and 5/100,000 in mitochondrial and nuclear DNA, respectively. In human populations, fractions for the multiple alleles that code for recessive deleterious syndromes are not expected to exceed 5 x 10(-4). Both nuclear and mitochondrial point mutations have been measured in human cells and tissues at fractions approaching 10(-6) using constant denaturant capillary electrophoresis (CDCE) coupled with high-fidelity PCR (hifiPCR). However, this approach is only applicable to those target sequences (approximately 100 bp) juxtaposed with a 'clamp', a higher-melting-temperature sequence, in genomic DNA; such naturally clamped targets represent approximately 9% of the human genome. To open up most of the human genome to rare point-mutational analysis, a high-efficiency DNA ligation procedure was recently developed so that a clamp could be attached to any target of interest. We coupled this ligation procedure with prior CDCE/hifiPCR and achieved a sensitivity of 2 x 10(-5) in human cells for the first time using an externally attached clamp. At this sensitivity, somatic mutations, each representing an anatomically distinct cluster of cells (turnover unit) derived from a mutant stem cell, may be detected in a series of tissue samples, each containing as many as 5 x 10(4) turnover units. Additionally, rare inherited mutations may be scanned in pooled DNA samples, each derived from as many as 10(5) persons.

Novel fluorescent ligase detection reaction and flow cytometric analysis of SYT-SSX fusions in synovial sarcoma

Synovial sarcomas (SS) are characterized by the t(X;18)(p11;q11) translocation and its resultant fusion gene, SYT-SSX. Two homologues of the SSX gene (ie, SSX1 and SSX2) are involved in the vast majority of SS and the SYT-SSX1 type of fusion has been associated with inferior clinical outcome. Thus, detection of the presence and type of SYT-SSX fusion is critical for diagnosis and prognosis in SS. Identification of SYT-SSX fusion type is typically accomplished by reverse-transcription polymerase chain reaction (RT-PCR) followed by a post-PCR analytic method. As mRNA nucleotide sequences of the SSX1 and SSX2 segments involved in the SYT-SSX fusion are nearly identical, post-PCR methods must be highly discriminatory. We describe a novel method to identify and differentiate these two chimeric transcripts using RT-PCR followed by fluorescent thermostable ligase detection reaction (f-LDR), microparticle bead capture and flow cytometric detection. Evaluation of this unique approach in 11 cases of SS without prior knowledge of SYT-SSX status, six cases of control sarcomas (CS) and three hematopoietic cell lines, revealed that the f-LDR technique was rapid, unambiguous, and highly specific. The f-LDR results were compared to XmnI enzyme digestion patterns and sequencing of PCR products, revealing a 100% concordance for all cases of SS with regards to SYT-SSX transcript type. In addition, there was a strong association of transcript type detected by f-LDR and morphological subclassification of SS, as previously reported. We conclude that this f-LDR method with flow-based detection is a robust approach to post-PCR detection of specific nucleotide sequences in SS and may be more broadly applicable in molecular oncology.

Detecting rare mutations associated with cancer risk

For more than a decade, investigators have been searching for a means of determining the risk of individuals developing cancer by detecting rare oncogenic mutations. The accumulation of mutations and the clonal evolvement of tumors provide opportunities for monitoring disease development and intervening prior to the presentation of clinical symptoms, or determining the risk of disease relapse during remission. A number of techniques, mostly polymerase chain reaction (PCR)-based, have been developed that enable the detection of rare oncogenic mutations within the range of 10(-2) to 10(-4) wild-type cells. Only a handful of procedures enable the detection of intragenic single base mutations at one mutant in 10-6 or better. These ultra-sensitive mutation detection techniques have produced some interesting results regarding single base mutation spectra and frequencies in p53, Harvey-ras, N-ras, and other reporter genes and DNA sequences in human tissues. Although there is evidence that some individuals may harbor cells or clones expressing genomic instability, the connection with the processes of carcinogenesis is still tenuous. There remains a need for rigorous epidemiological studies employing these ultra-sensitive mutation detection procedures. Since genomic instability is considered key to tumor development, the relevance of the detection of hypermutable clones in individuals is discussed in the context of cancer risk.

A commented dictionary of techniques for genotyping

Several tools, differing in their technical and practical parameters, are available for the detection of point mutations as well as small deletions and insertions. In this article, a dictionary featuring over fifty methods for detection of mutation is presented. The distinguishing principle for each method is briefly explained. Sorting of and discussion on the methods give the reader a brief introduction to the field of genotyping.

Temporal delineation of sequential HPRT mutations arising in vivo in a T-cell clone with a mutator phenotype

Recurrent mutations in vivo in T-lymphocytes identify clonally restricted genomic instabilities in some individuals. Cell-based assays allow initial recognition of clones with mutator phenotypes, but genotypic selection is required to determine frequencies and temporal sequences of potentially independent mutational events isolated only as complex changes in the same allele. The present work illustrates how two single-base insertions in the HPRT gene recovered only as a double event in a cell-based assay were shown to arise as separate in vivo mutations, being individually present at frequencies of < or =10(-4) and < or =10(-5), respectively, in peripheral blood. Full characterizations of mutator clones will allow elucidation of the earliest events in the emergence of genomic instability in human somatic cells.

Usefulness of genetic susceptibility and biomarkers for evaluation of environmental health risk

Recent attention is focused on understanding the genetic basis for individual susceptibility to the development of chronic disease. An emphasis is concentrated on establishing an association between inheritance of polymorphic chemical metabolizing genes and development of environmental cancer (e.g., lung cancer among cigarette smokers). The early reports of such associations have been very encouraging. However, some reported positive associations were not substantiated in subsequent studies using larger sample sizes and different ethnic populations. In this review, some confounding factors that contribute to the discrepancies are presented (e.g., ethnic-dependent distribution of variant gene alleles, differential expression of metabolizing genes, and inadequate study design). It is possible that the precision of the association can be improved if the mentioned investigations are complemented with concurrent studies of biological activities/effects. The usefulness of integrating metabolic susceptibility with biomarker measurement for understanding the development of lung cancers is presented. The importance of using adequate sample size and experimental design is emphasized. Development of a reliable approach for prediction of environmental disease not only will provide fundamental information regarding the genetic basis of human disease but will be useful for reducing disease burden in the population and for advancing patient care. Environ. Mol. Mutagen. 37:215-225, 2001. &copy 2001 Wiley-Liss, Inc.

Effect of mutagen-induced cell lethality on the dose response of germline mutations

Molecular tests for mutations require a sample of tissue from which DNA is extracted, to determine the presence or absence of one or more mutations per sample. To ensure mutation fixation each sample must consist of an equal number of cells that have had one or more DNA replications. In an in vivo test, surviving stem cells compensate to give the same number of cells per sample, leaving as the only evidence for stem cell lethality the increase in mutants of clonal origin because the mutant clone developed from a population of fewer stem cells. A problem is that an increase in mutagen dose increases stem cell death, resulting in a decreased number of surviving target cells, thus giving a downward bias of samples with one or more mutations per sample. To compare in vivo tests with molecular tests we will use as a model system the sex-linked recessive lethal (SLRL) test for germ cell mutations in Drosophila melanogaster. Spermatogonia cells in male larvae were exposed to ENU and mutations detected in sperm cells from adults. The same SLRL data were analyzed by two methods: (1) The conventional analysis of SLRL data, in which each mutation of a cluster of mutations of common origin was counted. (2) An analysis was used to simulate a sample for molecular analysis by determining mutations per male with an equal size sample of progeny per male. With this second analysis a correction factor is required based on the change in cluster size of mutants of common origin.

Species-specific detection of hydrocarbon-utilizing bacteria

Rapid detection and quantitative assessment of specific microbial species in environmental samples is desirable for monitoring changes in ecosystems and for tracking natural or introduced microbial species during bioremediation of contaminated sites. In the interests of developing rapid tests for hydrocarbon-degrading bacteria, species-specific PCR primer sets have been developed for Pseudomonas aeruginosa, Stentrophomonas (Xanthomonas) maltophilia, and Serratia marsescens. Highly variable regions of the 16S rRNA gene were used to design these primer sets. The amplification products of these primer sets have been verified and validated with hemi-nested PCR and with ligase chain reaction (LCR) techniques, and have been applied to the analyses of environmental water samples. These species-specific primer sets were also chosen to amplify in conjunction with a universal set of PCR primers chosen from highly conserved neighboring sequences in the same gene. These multiplex or competitive PCR procedures enable testing with an internal marker and/or the quantitative estimation of the relative proportion of the microbial community that any one of these species occupies. In addition, this universal PCR primer set amplified the same size amplicon from a wide spectrum of procaryotic and eucaryotic organisms and may have potential in earth biota analyses.

Needle-in-a-haystack detection and identification of base substitution mutations in human tissues

Background and induced germline mutagenesis and other genotoxicity studies have been hampered by the lack of a sufficiently sensitive technique for detecting mutations in a small cluster of cells or a single cell in a tissue sample composed of millions of cells. The most frequent type of genetic alteration is intragenic. The vast majority of oncogenic mutations in human and mammalian cancer involves only single base substitutions. We have developed universally applicable techniques that not only provide the necessary sensitivity and specificity for site specific mutagenesis studies, but also identify the point mutation. The exponential amplification procedures of polymerase chain reaction (PCR) and ligase chain reaction (LCR) have been combined with restriction endonuclease (RE) digestion to enable the selective enrichment and detection of single base substitution mutations in human oncogenic loci at a sensitivity of one mutant in more than 10(7) wild type alleles. These PCR/RE/LCR procedures have been successfully designed and used for codons 12 and 248 of the Ha-ras and p53 genes, respectively, both of which contain a natural MspI restriction endonuclease recognition sequence. These procedures have also been adapted for the detection and identification of mutations in oncogenic loci that do not contain a natural restriction endonuclease recognition sequence. Using PCR techniques, a HphI site was incorporated into the codons 12/13 region of the human N-ras gene, which was then used for the selective enrichment of mutants at this oncogenic locus. These PCR/RE/LCR procedures for base substitution mutations in codon 12 of the N-ras gene were found to have the sensitivity of detection of at least one mutant allele in the presence of the DNA equivalent of 10(6) wild type cells. Only one peripheral blood leukocyte DNA specimen out of nine normal individuals displayed an observable Ha-ras mutation that was present at frequency between 10(-5) and 10(-6). These PCR/RE/LCR techniques for detecting and identifying base substitution mutations are universally applicable to almost any locus or base site within the human or animal genome. With the added advantage of the adjustability of both the amount of DNA (number of genomes) to be tested and the sensitivity (10(-2) to 10(-7)) of the assay selection or enrichment procedures, these PCR/RE/LCR techniques will be useful in addressing a broad range of important questions in mutagenesis and carcinogenesis.