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Analysis of T-cell receptor V beta gene repertoires after immune stimulation and in malignancy by use of padlock probes and microarrays.

BACKGROUND: Detection of expanded T-cell clones, identified by their receptor (TCR) repertoires, can assist diagnosis and guide therapy in infectious, inflammatory, and autoimmune conditions as well as in tumor immunotherapy. Analysis of tumor-infiltrating lymphocytes often reveals preferential use of one or a few TCR V beta genes, compared with peripheral blood, indicative of a clonal response against tumor antigens. METHODS: To simultaneously measure the relative expression of all V beta gene families, we combined highly specific and sensitive oligonucleotide reagents, called padlock probes, with a microarray read-out format. T-Cell cDNA was combined with a pool of V beta subfamily-specific padlock probes. Reacted probes were selectively amplified and the products hybridized to a microarray, from which the V beta subfamily distribution in each sample could be determined relative to a control sample. RESULTS: In lymphocytes stimulated with the superantigen staphylococcal enterotoxin B, we detected expansions at the mRNA level of TCR subfamilies previously shown to respond to staphylococcal enterotoxin B. Expansions of the same V beta families could also be detected by flow cytometry. In samples from two bladder cancer patients, we detected predominant representations of specific V beta subfamilies in both tumor-infiltrating lymphocytes and in the draining lymph nodes, but not in non-tumor-draining lymph nodes or peripheral blood. Several expression profiles from draining lymph nodes in patients with malignant melanoma were divergent from profiles seen in non-tumor-draining lymph nodes. CONCLUSION: Padlock probe-based parallel analysis of TCR V beta gene distributions provides an efficient method for screening multiple samples for T-cell clonal expansions with reduced labor and time of analysis compared with traditional methods.

Adenocarcinoma↗

Spotted long oligonucleotide arrays for human gene expression analysis.

DNA microarrays produced by deposition (or 'spotting')of a single long oligonucleotide probe for each gene may be an attractive alternative to other types of arrays. We produced spotted oligonucleotide arrays using two large collections of approximately 70-mer probes, and used these arrays to analyze gene expression in two dissimilar human RNA samples. These samples were also analyzed using arrays produced by in situ synthesis of sets of multiple short (25-mer) oligonucleotides for each gene (Affymetrix GeneChips). We compared expression measurements for 7344 genes that were represented in both long oligonucleotide probe collections and the in situ-synthesized 25-mer arrays. We found strong correlations (r = 0.8-0.9) between relative gene expression measurements made with spotted long oligonucleotide probes and in situ-synthesized 25-mer probe sets. Spotted long oligonucleotide arrays were suitable for use with both unamplified cDNA and amplified RNA targets, and are a cost-effective alternative for many functional genomics applications. Most previously reported evaluations of microarray technologies have focused on expression measurements made on a relatively small number of genes. The approach described here involves far more gene expression measurements and provides a useful method for comparing existing and emerging techniques for genome-scale expression analysis.

Cell Line↗

Metal ion-catalyzed nucleic acid alkylation and fragmentation.

Nucleic acid microarrays are a growing technology in which high densities of known sequences are attached to a substrate in known locations (addressed). Hybridization of complementary sequences leads to a detectable signal such as an electrical impulse or fluorescence. This combination of sequence addressing, hybridization, and detection increases the efficiency of a variety of genomic disciplines including those that profile genetic expression, search for single nucleotide polymorphisms (SNPs), or diagnose infectious diseases by sequencing portions of microbial or viral genomes. Incorporation of reporter molecules into nucleic acids is essential for the sensitive detection of minute amounts of nucleic acids on most types of microarrays. Furthermore, polynucleic acid size reduction increases hybridization because of increased diffusion rates and decreased competing secondary structure of the target nucleic acids. Typically, these reactions would be performed as two separate processes. An improvement to past techniques, termed labeling-during-cleavage (LDC), is presented in which DNA or RNA is alkylated with fluorescent tags and fragmented in the same reaction mixture. In model studies with 26 nucleotide-long RNA and DNA oligomers using ultraviolet/visible and fluorescence spectroscopies as well as high-pressure liquid chromatography and mass spectrometry, addition of both alkylating agents (5-(bromomethyl)fluorescein, 5- or 6-iodoacetamidofluorescein) and select metal ions (of 21 tested) to nucleic acids in aqueous solutions was critical for significant increases in both labeling and fragmentation, with >or=100-fold increases in alkylation possible relative to metal ion-free reactions. Lanthanide series metal ions, Pb(2+), and Zn(2+) were the most reactive ions in terms of catalyzing alkylation and fragmentation. While oligonucleotides were particularly susceptible to fragmentation at sites containing phosphorothioate moieties, labeling and cleavage reactions occurred even without incorporation of phosphorothioate moieties into the RNA and DNA target molecules. In fact, LDC conditions were found in which RNA could be fragmented into its component monomers, allowing simultaneous sequencing from both the 5'- and the 3'-termini by mass spectrometry. The results can be explained by alkylation of the (thio)phosphodiester linkages to form less hydrolytically stable (thio)phosphotriesters, which then decompose into 2',3'-cyclic phosphate (or 2'-phosphate) and 5'-hydroxyl terminal products. Analysis of fragmentation and alkylation products of Mycobacterium tuberculosis (Mtb) ribosomal RNA (rRNA) transcripts by polyacrylamide gel electrophoresis was consistent with the model studies. Building upon these results, I found that products from Mtb rRNA amplification products were processed with fluorescent reporters and metal ions in a single reaction milieu for analysis on an Affymetrix GeneChip. Mild conditions were discovered which balanced the need for aggressive alkylation and the need for controlled fragmentation, advantageously yielding GeneChip results with greater than 98% of the nucleotides reported correctly relative to reference sequences, results sufficient for accurately identifying Mtb from other Mycobacterium species. Thus, LDC is a new, straightforward, and rapid aqueous chemistry that is based on metal ion-catalyzed alkylation and alkylation-catalyzed fragmentation of nucleic acids for analysis on microarrays or other hybridization assays and that, possibly, has utility in similar processing of other appropriately functionalized biomolecules.

Alkylation↗

Improving reliability and performance of DNA microarrays.

A great many platforms and versions of the microarray technology, with different characteristics and applications, have been developed. This review will describe some key issues in reliability and performance with the two most commonly used platforms for gene expression analysis, in situ-synthesized oligonucleotide microarrays or GeneChips and spotted microarrays. Some recent advances and new applications within the field will be mentioned briefly.

DNA, Complementary↗

Microarrays: the use of oligonucleotides and cDNA for the analysis of gene expression.

Completion of the human genome sequence has made it possible to study the expression of the entire human gene complement (>30,000 estimated genes). Aiding in this remarkable feat, DNA microarrays have become the main technological workhorse for gene expression studies. To date, detection platforms for most microarrays have relied on short (25 base) oligonucleotides synthesized in situ, or longer, highly variable length DNAs from PCR amplification of cDNA libraries. A third choice, long (50-80 base) oligonucleotide arrays, is now available and might eventually eliminate the use of cDNA arrays. The technology has advanced to such a point that researchers now demand microarrays that are cost-effective and have flexibility and quality assurance. Short- and long-oligonucleotide technologies offer such advantages, and could possibly become the major competing platform in the near future.

Animals↗

Multiplex degenerate PCR coupled with an oligo sorbent array for human endogenous retrovirus expression profiling.

Human endogenous retroviruses (HERVs) can be divided into distinct families of tens to thousands of paralogous loci. The expression of HERV elements has been detected in all tissues tested to date, particularly germ cells, embryonic tissues and neoplastic tissues. Hence, the study of HERV expression could represent added value in cancer diagnosis. We developed a quantitative assay combining a multiplex degenerate PCR (MD-PCR) amplification, based on the relative conservation of the pol genes, and a colorimetric Oligo Sorbent Array (OLISA). Nine HERV families were selected and amplification primers and capture probes were designed for each family. The features required to achieve efficient amplification of most of the elements of each HERV family and balanced co-amplification of all HERV families were analyzed. We found that MD-PCR reliability, i.e. equivalence of amplification and dose-effect relationship, relied on the adjustment of three critical parameters: the primer degeneracy, the relative concentration of each primer and the total amount of primers in the amplification mixture. The analysis of tumoral versus normal tissues suggests that this assay could prove useful in tumor phenotyping.

Cell Differentiation↗

Optimization of oligonucleotide-based DNA microarrays.

Oligonucleotide-based DNA microarrays are becoming increasingly useful for the analysis of gene expression and single nucleotide polymorphisms. Here we report a systematic study of the sensitivity, specificity and dynamic range of microarray signals and their dependence on the labeling and hybridization conditions as well as on the length, concentration, attachment moiety and purity of the oligonucleotides. Both a controlled set of in vitro synthesized transcripts and RNAs from biological samples were used in these experiments. An algorithm is presented that allows the efficient selection of oligonucleotides able to discriminate a single nucleotide mismatch. Critical parameters for various applications are discussed based on statistical analysis of the results. These data will facilitate the design and standardization of custom-made microarrays applicable to gene expression profiling and sequencing analyses.

Animals↗

A sequence-based identification of the genes detected by probesets on the Affymetrix U133 plus 2.0 array.

One of the biggest problems facing microarray experiments is the difficulty of translating results into other microarray formats or comparing microarray results to other biochemical methods. We believe that this is largely the result of poor gene identification. We re-identified the probesets on the Affymetrix U133 plus 2.0 GeneChip array. This identification was based on the sequence of the probes and the sequence of the human genome. Using the BLAST program, we matched probes with documented and postulated human transcripts. This resulted in the redefinition of approximately 37% of the probes on the U133 plus 2.0 array. This updated identification specifically points out where the identification is complicated by cross-hybridization from splice variants or closely related genes. More than 5000 probesets detect multiple transcripts and therefore the exact protein affected cannot be readily concluded from the performance of one probeset alone. This makes naming difficult and impacts any downstream analysis such as associating gene ontologies, mapping affected pathways or simply validating expression changes. We have now automated the sequence-based identification and can more appropriately annotate any array where the sequence on each spot is known.

Base Sequence↗

Gene-expression profiling in human cutaneous melanoma.

Genomic technology presents new and exciting opportunities to study complex human diseases. Several types of genomic analysis are helping to elucidate the biology of important human cancers. One of these, gene expression profiling, provides a more comprehensive view of the consequences of the genetic changes in cancer cells than was previously available. In addition to detailing the expression patterns of thousands of genes simultaneously, this exploding field of research has begun to build a new 'molecular taxonomy' of cancer and to identify novel disease genes for many human cancers, including cutaneous melanoma. Whether this new information will lead to improved treatments and prolonged survival for cancer patients remains to be determined. Here, we review the use of complementary DNA microarray technology to study gene expression patterns in cutaneous melanoma and highlight recent advances concerning the identification of novel melanoma disease-related genes. The fundamentals of microarray technology and analysis have been extensively discussed, and readers are referred to several recent reviews in this area.

Antineoplastic Agents↗

Cross-species microarray hybridization to identify developmentally regulated genes in the filamentous fungus Sordaria macrospora.

The filamentous fungus Sordaria macrospora forms complex three-dimensional fruiting bodies that protect the developing ascospores and ensure their proper discharge. Several regulatory genes essential for fruiting body development were previously isolated by complementation of the sterile mutants pro1, pro11 and pro22. To establish the genetic relationships between these genes and to identify downstream targets, we have conducted cross-species microarray hybridizations using cDNA arrays derived from the closely related fungus Neurospora crassa and RNA probes prepared from wild-type S. macrospora and the three developmental mutants. Of the 1,420 genes which gave a signal with the probes from all the strains used, 172 (12%) were regulated differently in at least one of the three mutants compared to the wild type, and 17 (1.2%) were regulated differently in all three mutant strains. Microarray data were verified by Northern analysis or quantitative real time PCR. Among the genes that are up- or down-regulated in the mutant strains are genes encoding the pheromone precursors, enzymes involved in melanin biosynthesis and a lectin-like protein. Analysis of gene expression in double mutants revealed a complex network of interaction between the pro gene products.

Blotting, Northern↗

Towards environmental toxicogenomics -- development of a flow-through, high-density DNA hybridization array and its application to ecotoxicity assessment.

Assessment of the environmental hazard posed by soils/sediments containing low to moderate levels of contaminants using standard analytical chemical methods is uncertain due (in part) to a lack of information on contaminant bioavailability, the unknown interactive effects of contaminant mixtures, our inability to determine the species of a metal in an environmental matrix, and the relative sensitivity of bioassay species. Regulatory agencies compensate for this uncertainty by lowering cleanup goals, but in this process they effectively exclude otherwise attractive cleanup options (i.e. bioremediation). Direct evaluations of soil and sediment toxicity preclude uncertainty from most of these sources. However, the time and cost of chronic toxicity tests limits their general application to higher levels of tiered toxicity assessments. Transcriptional level (mRNA) toxicity assessments offer great advantages in terms of speed, cost and sample throughput. These advantages are currently offset by questions about the environmental relevance of molecular level responses. To this end a flow-through, high-density DNA hybridization array (genosensor) system specifically designed for environmental risk assessment was developed. The genosensor is based on highly regular microchannel glass wafers to which gene probes are covalently bound at discrete (200-microm diameter spot) and addressable (250-microm spot pitch) locations. The flow-through design enables hybridization and washing times to be reduced from approximately 18 h to 20 min. The genosensor was configured so that DNA from 28 environmental samples can be simultaneously hybridized with up to 64 different gene probes. The standard microscopic slide format facilitates data capture with most automated array readers and, thus high sample throughput (> 350 sample/h). In conclusion, hardware development for molecular analysis is enabling very tractable means for analyzing RNA and DNA. These developments have underscored the need for further developmental work in probe design software, and the need to relate transcriptional level data to whole-organism toxicity indicators.

Animals↗

Prediction of anticancer drug potency from expression of genes involved in growth factor signaling.

PURPOSE: This study develops and evaluates a systematic approach to finding biomarker genes for predicting potency of anticancer drugs against tumor cells, focusing on gene families related to growth factor signaling. METHODS: Cytotoxic potencies of 119 drugs against 60 neoplastic cell lines (NCI-60) were correlated with expression of 343 genes, including 90 growth factors and receptors, 63 metalloproteinases, and 92 ras-like GTPases as downstream signaling factors. Progressively more stringent criteria and predictive models aim at identifying the smallest subset of genes predictive of cytotoxic potency. RESULTS: Comparing gene expression with drug potency across the NCI-60 yielded genes with negative and positive correlations (p < 0.001), indicative of a role in chemoresistance and chemosensitivity, respectively. Of 17 genes with multiple negative correlations, 8 are known chemoresistance factors, validating the approach. Negatively correlated genes clustered into two main groups with distinct expression profiles and drug correlations, represented by EGFR and ERBB2 (Her-2/Neu). Accordingly, no synergism was observed between EGFR and ERBB2 inhibitors. However, combinations with classical anticacer drugs were not correlated with EGFR and ERBB2 expression in four cell lines tested, suggesting complex interactions in combination treatments. Finally, a subset of only 13 genes was found to be sufficient for near optimal prediction of drug potency against the NCI-60. CONCLUSIONS: Our approach using a small subset of genes reveals known and potential biomarkers in cancer chemotherapy, providing a strategy for genome-wide analysis.

Algorithms↗

Induction of toll-like receptors and NALP/PAN/PYPAF family members by modified oligonucleotides in lung epithelial carcinoma cells.

ISIS 199044 is a chimeric 2'-O-methyl-containing oligonucleotide that produces toxicity in several cultured cell lines. Upon investigation into the mechanism of cytotoxicity, we discovered that treatment of lung epithelial carcinoma cells, A549, with ISIS 199044 and several other cytotoxic oligonucleotides induces a group of genes that are not normally expressed in these cells. These genes are involved in host response to foreign materials. Among them were toll-like receptor 7 (TLR7) and TLR9, members of the toll-like receptor family, responsible for immune response to nucleic acids and cryopyrin, a member of NALP/PAN/PYPAF family, which is known to assemble with ASC and regulate NF-kappaB activation and to modulate apoptosis. Maximal induction occurred 12-24 hours posttreatment with 500 nM oligonucleotide in the presence of Lipofectin reagent. Furthermore, we have shown that this induction is chemistry dependent; it can be negated by certain modifications, such as replacement of 2'-O-methyl with 2'-O-methoxyethyl groups or substitution of phosphorothioates with phosphodiester linkages. DNA microarray analysis identified additional genes modulated by ISIS 199044, particularly genes involved in DNA damage/repair.

Carcinoma↗

Software and methods for oligonucleotide and cDNA array data analysis.

Two HTML-based programs were developed to analyze and filter gene-expression data: 'Bullfrog' for Affymetrix oligonucleotide arrays and 'Spot' for custom cDNA arrays. The programs provide intuitive data-filtering tools through an easy-to-use interface. A background subtraction and normalization program for cDNA arrays was also built that provides an informative summary report with data-quality assessments. These programs are freeware to aid in the analysis of gene-expression results and facilitate the search for genes responsible for interesting biological processes and phenotypes.

Computational Biology↗

DNA microarray analysis of transforming growth factor-beta and related transcripts in nasal biopsies from patients with allergic rhinitis.

Decreased activity of anti-inflammatory cytokines like transforming growth factor (TGF)-beta may contribute to allergic inflammation. In vivo effects of TGF-beta-effects are difficult to infer from local concentrations, since TGF-beta-effects depend on a complex system of regulatory proteins and receptors. Instead the effects of TGF-beta might be inferred by examining TGF-beta-inducible transcripts. In this study DNA microarrays were used to examine local expression of TGF-beta, TGF-beta-regulatory and -inducible transcripts in nasal biopsies from patients with symptomatic allergic rhinitis and healthy controls. In addition, nasal fluids were analysed with cytological and immunological methods. Nasal fluid eosinophils, albumin, eosinophil granulae proteins and IgE, but not TGF-beta, were higher in patients than in controls. DNA microarray analysis of nasal mucosa showed expression of transcripts encoding TGF-beta, TGF-beta-regulatory proteins and -receptors at variable levels in patients and controls. By comparison, analysis of 28 TGF-beta-inducible transcripts indicated that 23 of these had lower measurement values in patients than in controls, while one was higher, and the remaining four were absent in both patients and controls. In summary, TGF-beta and a complex system of regulatory genes and receptors are expressed in the nasal mucosa. Low expression of TGF-beta-inducible transcripts may indicate decreased TGF-beta activity in allergic rhinitis. DNA microarray analysis may be a way to study cytokine effects in vivo.

Adolescent↗

Functional cloning, sorting, and expression profiling of nucleic acid-binding proteins.

A major challenge in the post-sequencing era is to elucidate the activity and biological function of genes that reside in the human genome. An important subset includes genes that encode proteins that regulate gene expression or maintain the structural integrity of the genome. Using a novel oligonucleotide-binding substrate as bait, we show the feasibility of a modified functional expression-cloning strategy to identify human cDNAs that encode a spectrum of nucleic acid-binding proteins (NBPs). Approximately 170 cDNAs were identified from screening phage libraries derived from a human colorectal adenocarcinoma cell line and from noncancerous fetal lung tissue. Sequence analysis confirmed that virtually every clone contained a known DNA- or RNA-binding motif. We also report on a complementary sorting strategy that, in the absence of subcloning and protein purification, can distinguish different classes of NBPs according to their particular binding properties. To extend our functional annotation of NBPs, we have used GeneChip expression profiling of 14 different breast-derived cell lines to examine the relative transcriptional activity of genes identified in our screen and cluster analysis to discover other genes that have similar expression patterns. Finally, we present strategies to analyze the upstream regulatory region of each gene within a cluster group and select unique combinations of transcription factor binding sites that may be responsible for dictating the observed synexpression.

Adenocarcinoma↗

Microarray-based AMASE as a novel approach for mutation detection.

Alterations in the p53 tumor suppressor gene are important events in many cases of human cancers. We have developed a novel microarray based approach for re-sequencing and mutation detection of the p53 gene. The method facilitates rapid and simple scanning of the target gene sequence and could be expanded to include other candidate cancer genes. The methodology employs the previously described apyrase-mediated allele-specific extension reaction (AMASE). In order to re-sequence the selected region, four extension oligonucleotides with different 3'-termini were used for each base position and they were covalently attached to the glass slide's surface. The amplified single-stranded DNA templates were then hybridized to the array followed by in situ extension with fluorescently labeled dNTPs in the presence of apyrase. The model system used was based on analysis of a 15 bp stretch in exon 5 of the p53 gene. Mutations were scored as allelic fractions calculated as (wt)/(wt + mut) signals. When apyrase was included in the extension reactions of wild type templates, the mean allelic fraction was 0.96. When apyrase was excluded with the same wild type templates, significantly lower allelic fractions were obtained. Two 60-mer synthetic oligonucleotides were used to establish the detectable amount of mutations with AMASE and a clear distinction between all the points could be made. Several samples from different stages of skin malignancies were also analyzed. The results from this study imply the possibility to efficiently and accurately re-sequence the entire p53 gene with AMASE technology.

Alleles↗