Rapid parallel mutation scanning of gene fragments using a microelectronic protein–DNA chip format

We have developed a method for the de novo discovery of genetic variations, including single nucleotide polymorphisms and mutations, on microelectronic chip devices. The method combines the features of electronically controlled DNA hybridisation on open-format microarrays, with mutation detection by a fluorescence-labelled mismatch- binding protein. Electronic addressing of DNA strands to distinct test sites of the chip allows parallel analysis of several individuals, as demonstrated for mutations in different exons of the p53 gene. This microelectronic chip-based mutation discovery assay may substitute for time-consuming sequencing studies and will complement existing technologies in genomic research.     

Arrayed primer extension: solid-phase four-color DNA resequencing and mutation detection technology

The technology and application of arrayed primer extension (APEX) is presented. We describe an integrated system with DNA chip and template preparation, multiplex primer extension on the array, fluorescence imaging, and data analysis. The method is based upon an array of oligonucleotides, immobilized via the 5' end on a glass surface. A patient DNA is amplified by PCR, digested enzymatically, and annealed to the immobilized primers, which promote sites for template-dependent DNA polymerase extension reactions using four unique fluorescently labeled dideoxy nucleotides. A mutation is detected by a change in the color code of the primer sites. The technology was applied to the analysis of 10 common beta-thalassemia mutations. Nine patient DNA samples, each of which carries a different mutation, and four wild-type DNA samples were correctly identified. The signal-to-noise ratio of this technology is, on the average, 40:1, which enables the identification of heterozygous mutations with a high confidence level. The APEX method can be applied to any DNA target for efficient analysis of mutations and polymorphisms.     

基因芯片技术及其在植物上的应用

基因芯片技术（gene chip technology)是采用光导原位合成或缩微印刷等方法,将大量特定的DNA探针片段有序地固定于固相载体的表面,形成DNA微阵列,然后与待测的标记样品靶DNA或RNA分子杂交,对杂交信号进行扫描及计算机检测分析,从而获取所需的生物信息。该技术在植物研究中广泛应用于寻找特异性相关基因和新基因,基因表达分析,基因突变和多态性检测,DNA测序等。     

A novel method of identifying genetic mutations using an electrochemical DNA array

We describe the development of a new type of DNA array chip that utilizes electrochemical reactions and a novel method of simultaneously identifying multiple genetic mutations on an array chip. The electrochemical array (ECA) uses a threading intercalator specific to double-stranded nucleotides, ferrocenylnaphthalene diimide (FND), as the indicator. ECA does not require target labeling, and the equipment is simple, durable and less expensive. The simultaneous multiple mutation detection (SMMD) system using an ECA chip and FND utilizes an enzyme to simultaneously distinguish several genetic mutations such as single nucleotide polymorphism (SNP), insertion, deletion, translocation and short tandem repeat. We examined this SMMD system using an ECA chip, by detecting seven different mutations on the lipoprotein lipase (LPL) gene for 50 patients in a blind test. It turned out that all the results obtained were concordant with the sequencing results, demonstrating that this system is a powerful tool for clinical applications.     

APEX disease gene resequencing: mutations in exon 7 of the p53 tumor suppressor gene.

Detection of mutations in disease genes will be a significant application of genomic research. Methods for detecting mutations at the single nucleotide level are required in highly mutated genes such as the tumor suppressor p53. Resequencing of an individual patient's DNA by conventional Sanger methods is impractical, calling for novel methods for sequence analysis. Toward this end, an arrayed primer extension (APEX) method for identifying sequence alterations in primary DNA structure was developed. A two-dimensional array of immobilized primers (DNA chip) was fabricated to scan p53 exon 7 by single bases. Primers were immobilized with 200 microm spacing on a glass support. Oligonucleotide templates of length 72 were used to study individual APEX resequencing reactions. A template-dependent DNA polymerase extension was performed on the chip using fluorescein-labeled dideoxynucleotides (ddNTPs). Labeled primers were evanescently excited and the induced fluorescence was imaged by CCD. The average signal-to-noise ratio (S/N) observed was 30:1. Software was developed to analyze high-density DNA chips for sequence alterations. Deletion, insertion, and substitution mutations were detected. APEX can be used to scan for any mutation (up to two-base insertions) in a known region of DNA by fabricating a DNA chip comprising complementary primers addressing each nucleotide in the wild-type sequence. Since APEX is a parallel method for determining DNA sequence, the time required to assay a region is independent of its length. APEX has a high level of accuracy, is sequence-based, and can be miniaturized to analyze a large DNA region with minimal reagents.     

核酸主动式杂交微电子芯片及其应用研究进展

介绍了基于电场作用下核酸主动杂交原理的微电子芯片的微加工方法、分析系统组成、杂交分析技术原理,综述了该技术在点突变分析、单核苷酸多态性分析、简单串联重复序列分析、芯片上多重链替代扩增、病原物检测等方面的应用进展。     

Molecular genetics of ovarian cancer

This is a review of the approaches that can be used to analyze genetic changes in ovarian cancer. Traditional gene localization methods are discussed, followed by a section on gene identification techniques. Once a putative disease-associated gene has been cloned, mutations have to be identified and analyzed. There are numerous mutation detection methods, and the most common ones are outlined. In the penultimate section, the role of immunohistochemistry as a surrogate method for mutation analysis is considered. Finally, the possible use of functional assays is discussed. At present, it would appear that DNA chip technology for the detection of mutations, and microarray analysis of gene expression, are two important techniques likely to have a significant impact on the genetic analysis of ovarian cancer.     

Optimized PCR fragments for heteroduplex analysis of the whole human mitochondrial genome with denaturing HPLC

Denaturing high pressure liquid chromatography (dHPLC) is an efficient method for discovery of unknown mutations by heteroduplex analysis of PCR fragments. For comprehensive mutation scanning of the whole 16.569 bp human mitochondrial genome, we developed a set of 67 primer pairs defining overlapping PCR fragments that are well suited for heteroduplex analysis. The aim of our optimization efforts was to ensure that point mutations are detectable at every nucleotide position of each amplicon. Some GC-rich regions of mitochondrial DNA (mtDNA) were found to have unfavourable melting profiles in all possible amplicons, therefore requiring GC-clamps at the end of one or both oligonucleotide PCR primers. Following detection of a heteroduplex pattern by dHPLC, our primers can also be employed for DNA sequencing to identify the underlying mutation. In case of heteroplasmic mutations with a low proportion of mutant mtDNA, a fragment collector is useful to recover the heteroduplex peak, which contains mutant and wildtype DNA molecules in a 1:1 ratio.     

Anchored multiplex amplification on a microelectronic chip array

We have developed a method for anchored amplification on a microchip array that allows amplification and detection of multiple targets in an open format. Electronic anchoring of sets of amplification primers in distinct areas on the microchip permitted primer-primer interactions to be reduced and distinct zones of amplification created, thereby increasing the efficiency of the multiplex amplification reactions. We found strand displacement amplification (SDA) to be ideal for use in our microelectronic chip system because of the isothermal nature of the assay, which provides a rapid amplification system readily compatible with simple instrumentation. Anchored SDA supported multiplex DNA or RNA amplification without decreases in amplification efficiency. This microelectronic chip-based amplification system allows multiplexed amplification and detection to be performed on the same platform, streamlining development of any nucleic acid-based assay.     

Mutation Scanning Using MUT-MAP,a High-Throughput,Microfluidic Chip-Based,Multi-Analyte Panel

Targeted anticancer therapies rely on the identification of patient subgroups most likely to respond to treatment. Predictive biomarkers play a key role in patient selection, while diagnostic and prognostic biomarkers expand our understanding of tumor biology, suggest treatment combinations, and facilitate discovery of novel drug targets. We have developed a high-throughput microfluidics method for mutation detection (MUT-MAP, mutation multi-analyte panel) based on TaqMan or allele-specific PCR (AS-PCR) assays. We analyzed a set of 71 mutations across six genes of therapeutic interest. The six-gene mutation panel was designed to detect the most common mutations in the EGFR, KRAS, PIK3CA, NRAS, BRAF, and AKT1 oncogenes. The DNA was preamplified using custom-designed primer sets before the TaqMan/AS-PCR assays were carried out using the Biomark microfluidics system (Fluidigm; South San Francisco, CA). A cross-reactivity analysis enabled the generation of a robust automated mutation-calling algorithm which was then validated in a series of 51 cell lines and 33 FFPE clinical samples. All detected mutations were confirmed by other means. Sample input titrations confirmed the assay sensitivity with as little as 2 ng gDNA, and demonstrated excellent inter- and intra-chip reproducibility. Parallel analysis of 92 clinical trial samples was carried out using 2–100 ng genomic DNA (gDNA), allowing the simultaneous detection of multiple mutations. DNA prepared from both fresh frozen and formalin-fixed, paraffin-embedded (FFPE) samples were used, and the analysis was routinely completed in 2–3 days: traditional assays require 0.5–1 µg high-quality DNA, and take significantly longer to analyze. This assay can detect a wide range of mutations in therapeutically relevant genes from very small amounts of sample DNA. As such, the mutation assay developed is a valuable tool for high-throughput biomarker discovery and validation in personalized medicine and cancer drug development.     

Discovery of single nucleotide polymorphisms and mutations by pyrosequencing

Comparative genomics, analyzing variation among individual genomes, is an area of intense investigation. DNA sequencing is usually employed to look for polymorphisms and mutations. Pyrosequencing, a real-time DNA sequencing method, is emerging as a popular platform for comparative genomics. Here we review the use of this technology for mutation scanning, polymorphism discovery and chemical haplotyping. We describe the methodology and accuracy of this technique and discuss how to reduce the cost for large-scale analysis.     

DNA chips: the future of biomarkers

DNA chips are small, solid supports such as microscope slides onto which thousands of cDNAs or oligonucleotides are arrayed, representing known genes or simply EST clones, or covering the entire sequence of a gene with all its possible mutations. Fluorescently labeled DNA or RNA extracted from tissues is hybridized to the array. Laser scanning of the chip permits quantitative evaluation of each individual complementary sequence present in the sample. DNA chip technology is currently being proposed for qualitative and quantitative applications, firstly for the detection of point mutations, small deletions and insertions in genes involved in human diseases or affected during cancer progression; secondly, to determine on a genome-wide basis the pattern of gene expression in tumors, as well as in a number of experimental situations. The extraordinary power of DNA chips will have a strong impact on medicine in the near future, both in the molecular characterization of tumors and genetic diseases and in drug discovery and evaluation. Quantitative applications will soon spread through all fields of biology.     

s-RT-MELT for rapid mutation scanning using enzymatic selection and real time DNA-melting: new potential for multiplex genetic analysis

The rapidly growing understanding of human genetic pathways, including those that mediate cancer biology and drug response, leads to an increasing need for extensive and reliable mutation screening on a population or on a single patient basis. Here we describe s-RT-MELT, a novel technology that enables highly expanded enzymatic mutation scanning in human samples for germline or low-level somatic mutations, or for SNP discovery. GC-clamp-containing PCR products from interrogated and wild-type samples are hybridized to generate mismatches at the positions of mutations over one or multiple sequences in-parallel. Mismatches are converted to double-strand breaks using a DNA endonuclease (Surveyor™) and oligonucleotide tails are enzymatically attached at the position of mutations. A novel application of PCR enables selective amplification of mutation-containing DNA fragments. Subsequently, melting curve analysis, on conventional or nano-technology real-time PCR platforms, detects the samples that contain mutations in a high-throughput and closed-tube manner. We apply s-RT-MELT in the screening of p53 and EGFR mutations in cell lines and clinical samples and demonstrate its advantages for rapid, multiplexed mutation scanning in cancer and for genetic variation screening in biology and medicine.     

Tumor classification using phylogenetic methods on expression data

Tumor classification is a well-studied problem in the field of bioinformatics. Developments in the field of DNA chip design have now made it possible to measure the expression levels of thousands of genes in sample tissue from healthy cell lines or tumors. A number of studies have examined the problems of tumor classification: class discovery, the problem of defining a number of classes of tumors using the data from a DNA chip, and class prediction, the problem of accurately classifying an unknown tumor, given expression data from the unknown tumor and from a learning set. The current work has applied phylogenetic methods to both problems. To solve the class discovery problem, we impose a metric on a set of tumors as a function of their gene expression levels, and impose a tree structure on this metric, using standard tree fitting methods borrowed from the field of phylogenetics. Phylogenetic methods provide a simple way of imposing a clear hierarchical relationship on the data, with branch lengths in the classification tree representing the degree of separation witnessed. We tested our method for class discovery on two data sets: a data set of 87 tissues, comprised mostly of small, round, blue-cell tumors (SRBCTs), and a data set of 22 breast tumors. We fit the 87 samples of the first set to a classification tree, which neatly separated into four major clusters corresponding exactly to the four groups of tumors, namely neuroblastomas, rhabdomyosarcomas, Burkitt's lymphomas, and the Ewing's family of tumors. The classification tree built using the breast cancer data separated tumors with BRCA1 mutations from those with BRCA2 mutations, with sporadic tumors separated from both groups and from each other. We also demonstrate the flexibility of the class discovery method with regard to standard resampling methodology such as jackknifing and noise perturbation. To solve the class prediction problem, we built a classification tree on the learning set, and then sought the optimal placement of each test sample within the classification tree. We tested this method on the SRBCT data set, and classified each tumor successfully.     

Automated band mapping in electrophoretic gel images using background information

Some popular methods for polymorphism and mutation discovery involve ascertainment of novel bands by the examination of electrophoretic gel images. Although existing strategies for mapping bands work well for specific applications, such as DNA sequencing, these strategies are not well suited for novel band detection. Here, we describe a general strategy for band mapping that uses background banding patterns to facilitate lane calling and size calibration. We have implemented this strategy in GelBuddy, a user-friendly Java-based program for PC and Macintosh computers, which includes several utilities to assist discovery of mutations and polymorphisms. We demonstrate the use of GelBuddy in applications based on single-base mismatch cleavage of heteroduplexed PCR products. Use of software designed to facilitate novel band detection can significantly shorten the time needed for image analysis and data entry in a high-throughput setting. Furthermore, the interactive strategy implemented in GelBuddy has been successfully applied to DNA fingerprinting applications, such as AFLP. GelBuddy promises to make electrophoretic gel analysis a viable alternative to DNA resequencing for discovery of mutations and polymorphisms.     

Development of a single tube 640-plex genotyping method for detection of nucleic acid variations on microarrays

Detection of DNA sequence variation is critical to biomedical applications, including disease genetic identification, diagnosis and treatment, drug discovery and forensic analysis. Here, we describe an arrayed primer extension-based genotyping method (APEX-2) that allows multiplex (640-plex) DNA amplification and detection of single nucleotide polymorphisms (SNPs) and mutations on microarrays via four-color single-base primer extension. The founding principle of APEX-2 multiplex PCR requires two oligonucleotides per SNP/mutation to generate amplicons containing the position of interest. The same oligonucleotides are then subsequently used as immobilized single-base extension primers on a microarray. The method described here is ideal for SNP or mutation detection analysis, molecular diagnostics and forensic analysis. This robust genetic test has minimal requirements: two primers, two spots on the microarray and a low cost four-color detection system for the targeted site; and provides an advantageous alternative to high-density platforms and low-density detection systems.     

结合SSH和cDNA芯片技术在植物研究中的应用

抑制性差减杂交(Suppression Subtractive Hybridization,SSH)技术是分离差异表达基因的一种新方法。cDNA芯片也是近年来发展起来的一种新技术,它是指将大量的特定的寡核苷酸片段或基因片段作为探针,有规律地排列固定于硅片、玻片、塑料片等固相支持物上制成的芯片。本文主要介绍抑制差减杂交和cDNA芯片技术原理及其在植物研究中的应用。     

On-chip ligation of multiplexing probe-pairs for identifying point mutations out of dense SNP loci

Detailed analyses of dense single nucleotide polymorphism (SNP) loci within rifampin-resistance determining region (RRDR) are very important for the early assessment of drug resistance of Mycobacterium tuberculosis. A strategy was developed here to specifically identify point mutations out of dense SNP loci by on-chip ligation of multiplexing probe-pairs (MPPs). A probe-pair combines a common probe with a discriminating probe which is covalently attached to a DNA chip. The common probe hybridizes to the discriminating probe via a unique "zip-code complement". The allele-specific part on the 3'-end of the discriminating probe becomes covalently ligated to the adjacent part on the 5'-end of the common probe if and only if a mutation is present. Thus upon zip-code recognition, the process of identifying a mutation of interest is entirely located into corresponding well on the chip. As a consequence, cross-reactions and biased competitive attachments to targets, both of which result from the presence of various multiplexing probes, are greatly minimized. Mutation detection was performed by direct visualization using enzyme-linked assay. The method was demonstrated with an initial set of 24 probe-pairs targeting 22 clinically meaningful mutations within an 81-bp RRDR. 130-bp fragments of the rpoB gene from 15 clinical isolates were identified and were in 100% agreement with results from independent sequencing.     

Serial analysis of mutation spectra (SAMS): a new approach for the determination of mutation spectra of site-specific DNA damage and their sequence dependence

Many mutations occur as a result of DNA synthesis past the site of DNA damage by DNA damage bypass polymerases. The frequency and types of mutations not only depend on the nature of the damage, but also on the sequence context, as revealed from analysis of mutation spectra of DNA exposed to mutagens. Herein we report a new method for the rapid determination of the effect of sequence context on mutagenesis called SAMS for serial analysis of mutation spectra. This technique makes use of the methodology that underlies serial analysis of gene expression (SAGE) to analyze mutations that result from DNA synthesis past a DNA lesion site-specifically embedded in a library of DNA sequences. To illustrate our technique we determined the effect of sequence context on mutations generated by DNA synthesis past a tetrahydrofuran abasic site model by the DNA damage bypass polymerase yeast polymerase eta.     

Length Mutations in Human Mitochondrial DNA

By high-resolution, restriction mapping of mitochondrial DNAs purified from 112 human individuals, we have identified 14 length variants caused by small additions and deletions (from about 6 to 14 base pairs in length). Three of the 14 length differences are due to mutations at two locations within the D loop, whereas the remaining 11 occur at seven sites that are probably within other noncoding sequences and at junctions between coding sequences. In five of the nine regions of length polymorphism, there is a sequence of five cytosines in a row, this sequence being comparatively rare in coding DNA. Phylogenetic analysis indicates that, in most of the polymorphic regions, a given length mutation has arisen several times independently in different human lineages. The average rate at which length mutations have been arising and surviving in the human species is estimated to be many times higher for noncoding mtDNA than for noncoding nuclear DNA. The mystery of why vertebrate mtDNA is more prone than nuclear DNA to evolve by point mutation is now compounded by the discovery of a similar bias toward rapid evolution by length mutation.