Epigenetic specificity of loss of imprinting of the IGF2 gene in Wilms tumors.

Loss of imprinting (LOI) of the IGF2 gene (which encodes insulin-like growth factor II) is the most common genetic or epigenetic alteration in Wilms tumor; LOI involves aberrant activation of the normally repressed maternally inherited allele. We found previously that LOI of IGF2 occurs in approximately half of all Wilms tumors (i.e., those arising from lineage-committed nephrogenic progenitor cells). We investigated whether LOI of IGF2 is associated with relaxation of imprinting at loci other than IGF2 or with widespread alterations in DNA methylation. We stratified 59 Wilms tumor samples by IGF2 LOI status by use of hot-stop reverse transcription-polymerase chain reaction and/or methylation analysis of the differentially methylated region of the H19 gene and identified 31 samples with and 28 without LOI. We used quantitative allele-specific expression analysis to determine whether six other imprinted genes (i.e., H19, KCNQ1, LIT1, TSSC5, GRB10, and MEG3) had subtle LOI. No statistically significant difference in allele-specific expression between Wilms tumor with or without LOI was found for LIT1, TSSC5, GRB10, and MEG3. For the KCNQ1 gene there was a slight difference between the groups with (37.0%, 95% confidence interval [CI] = 31.8% to 42.2%) and without (27.7%, 95% CI = 21.8% to 33.5%) LOI (P = .02 for F test of group differences in a mixed-effects model). For H19, we also found a slight difference between the groups with (7.5%, 95% CI = 2.4% to 12.7%) and without (2.2%, 95% CI = -3.2% to 7.6%) LOI of IGF2 (P = .15 for F test). In 27 tumor samples, we also used a microarray technique to analyze methylation of 378 genes, 38 of which were suspected or confirmed imprinted genes. We found that statistically significant alterations in only the differentially methylated region of the H19 gene were associated with LOI of IGF2. Thus, epigenetic alterations in Wilms tumors are not widespread, supporting the gene and lineage specificity of LOI of IGF2.

Quantitative gene expression profiling in formalin-fixed, paraffin-embedded tissues using universal bead arrays.

We recently developed a sensitive and flexible gene expression profiling system that is not dependent on an intact poly-A tail and showed that it could be used to analyze degraded RNA samples. We hypothesized that the DASL (cDNA-mediated annealing, selection, extension and ligation) assay might be suitable for the analysis of formalin-fixed, paraffin-embedded tissues, an important source of archival tissue material. We now show that, using the DASL assay system, highly reproducible tissue- and cancer-specific gene expression profiles can be obtained with as little as 50 ng of total RNA isolated from formalin-fixed tissues that had been stored from 1 to over 10 years. Further, tissue- and cancer-specific markers derived from previous genome-wide expression profiling studies of fresh-frozen samples were validated in the formalin-fixed samples. The DASL assay system should prove useful for high-throughput expression profiling of archived clinical samples.

A versatile assay for high-throughput gene expression profiling on universal array matrices.

We report a flexible, sensitive, and quantitative gene-expression profiling system for assaying more than 400 genes, with three probes per gene, for 96 samples in parallel. The cDNA-mediated annealing, selection, extension and ligation (DASL) assay targets specific transcripts, using oligonucleotides containing unique address sequences that can hybridize to universal arrays. Cell-specific gene expression profiles were obtained using this assay for hormone-treated cell lines and laser-capture microdissected cancer tissues. Gene expression profiles derived from this assay were consistent with those determined by qRT-PCR. The DASL assay has been automated for use with a bead-based 96-array matrix system. The combined high-throughput assay and readout system is accurate and efficient, and can cost-effectively profile the expression of hundreds of genes in thousands of samples.

Decoding randomly ordered DNA arrays.

We have developed a simple and efficient algorithm to identify each member of a large collection of DNA-linked objects through the use of hybridization, and have applied it to the manufacture of randomly assembled arrays of beads in wells. Once the algorithm has been used to determine the identity of each bead, the microarray can be used in a wide variety of applications, including single nucleotide polymorphism genotyping and gene expression profiling. The algorithm requires only a few labels and several sequential hybridizations to identify thousands of different DNA sequences with great accuracy. We have decoded tens of thousands of arrays, each with 1520 sequences represented at approximately 30-fold redundancy by up to approximately 50,000 beads, with a median error rate of <1 x 10(-4) per bead. The approach makes use of error checking codes and provides, for the first time, a direct functional quality control of every element of each array that is manufactured. The algorithm can be applied to any spatially fixed collection of objects or molecules that are associated with specific DNA sequences.

Profiling alternative splicing on fiber-optic arrays.

The human transcriptome is marked by extensive alternative mRNA splicing and the expression of many closely related genes, which may be difficult to distinguish using standard microarray techniques. Here we describe a sensitive and specific assay for parallel analysis of mRNA isoforms on a fiber-optic microarray platform. The method permits analysis of mRNA transcripts without prior RNA purification or cDNA synthesis. Using an endogenously expressed viral transcript as a model, we demonstrated that the assay readily detects mRNA isoforms from as little as 10-100 pg of total cellular RNA or directly from a few cells. Multiplexed analysis of human cancer cell lines revealed differences in mRNA splicing and suggested a potential autocrine mechanism in the development of choriocarcinomas. Our approach may be useful in the large-scale analysis of the role of alternative splicing in development and disease.