Segmental duplication as one of the driving forces underlying the diversity of the human immunoglobulin heavy chain variable gene region.

BACKGROUND: Segmental duplication and deletion were implicated for a region containing the human immunoglobulin heavy chain variable (IGHV) gene segments, 1.9III/hv3005 (possible allelic variants of IGHV3-30) and hv3019b9 (a possible allelic variant of IGHV3-33). However, very little is known about the ranges of the duplication and the polymorphic region. This is mainly because of the difficulty associated with distinguishing between allelic and paralogous sequences in the IGHV region containing extensive repetitive sequences. Inability to separate the two parental haploid genomes in the subjects is another serious barrier. To address these issues, unique DNA sequence tags evenly distributed within and flanking the duplicated region implicated by the previous studies were selected. The selected tags in single sperm from six unrelated healthy donors were amplified by multiplex PCR followed by microarray detection. In this way, individual haplotypes of different parental origins in the sperm donors could be analyzed separately and precisely. The identified polymorphic region was further analyzed at the nucleotide sequence level using sequences from the three human genomic sequence assemblies in the database. RESULTS: A large polymorphic region was identified using the selected sequence tags. Four of the 12 haplotypes were shown to contain consecutively undetectable tags spanning in a variable range. Detailed analysis of sequences from the genomic sequence assemblies revealed two large duplicate sequence blocks of 24,696 bp and 24,387 bp, respectively, and an incomplete copy of 961 bp in this region. It contains up to 13 IGHV gene segments depending on haplotypes. A polymorphic region was found to be located within the duplicated blocks. The variants of this polymorphism unusually diverged at the nucleotide sequence level and in IGHV gene segment number, composition and organization, indicating a limited selection pressure in general. However, the divergence level within the gene segments is significantly different from that in the intergenic regions indicating that these regions may have been subject to different selection pressures and that the IGHV gene segments in this region are functionally important. CONCLUSIONS: Non-reciprocal genetic rearrangements associated with large duplicate sequence blocks could substantially contribute to the IGHV region diversity. Since the resulting polymorphisms may affect the number, composition and organization of the gene segments in this region, it may have significant impact on the function of the IGHV gene segment repertoire, antibody diversity, and therefore, the immune system. Because one of the gene segments, 3-30 (1.9III), is associated with autoimmune diseases, it could be of diagnostic significance to learn about the variants in the haplotypes by using the multiplex haplotype analysis system used in the present study with DNA sequence tags specific for the variants of all gene segments in this region.

Identification of possible genetic alterations in the breast cancer cell line MCF-7 using high-density SNP genotyping microarray.

CONTEXT: Cancer cell lines are used extensively in various research. Knowledge of genetic alterations in these lines is important for understanding mechanisms underlying their biology. However, since paired normal tissues are usually unavailable for comparison, precisely determining genetic alterations in cancer cell lines is difficult. To address this issue, a highly efficient and reliable method is developed. AIMS: Establishing a highly efficient and reliable experimental system for genetic profiling of cell lines. MATERIALS AND METHODS: A widely used breast cancer cell line, MCF-7, was genetically profiled with 4,396 single nucleotide polymorphisms (SNPs) spanning 11 whole chromosomes and two other small regions using a newly developed high-throughput multiplex genotyping approach. RESULTS: The fractions of homozygous SNPs in MCF-7 (13.3%) were significantly lower than those in the control cell line and in 24 normal human individuals (25.1% and 27.4%, respectively). Homozygous SNPs in MCF-7 were found in clusters. The sizes of these clusters were significantly larger than the expected based on random allelic combination. Fourteen such regions were found on chromosomes 1p, 1q, 2q, 6q, 13, 15q, 16q, 17q and 18p in MCF-7 and two in the small regions. CONCLUSIONS: These results are generally concordant with those obtained using different approaches but are better in defining their chromosomal positions. The used approach provides a reliable way to detecting possible genetic alterations in cancer cell lines without paired normal tissues.

A highly sensitive and specific system for large-scale gene expression profiling.

BACKGROUND: Rapid progress in the field of gene expression-based molecular network integration has generated strong demand on enhancing the sensitivity and data accuracy of experimental systems. To meet the need, a high-throughput gene profiling system of high specificity and sensitivity has been developed. RESULTS: By using specially designed primers, the new system amplifies sequences in neighboring exons separated by big introns so that mRNA sequences may be effectively discriminated from other highly related sequences including their genes, unprocessed transcripts, pseudogenes and pseudogene transcripts. Probes used for microarray detection consist of sequences in the two neighboring exons amplified by the primers. In conjunction with a newly developed high-throughput multiplex amplification system and highly simplified experimental procedures, the system can be used to analyze >1,000 mRNA species in a single assay. It may also be used for gene expression profiling of very few (n = 100) or single cells. Highly reproducible results were obtained from duplicate samples with the same number of cells, and from those with a small number (100) and a large number (10,000) of cells. The specificity of the system was demonstrated by comparing results from a breast cancer cell line, MCF-7, and an ovarian cancer cell line, NCI/ADR-RES, and by using genomic DNA as starting material. CONCLUSION: Our approach may greatly facilitate the analysis of combinatorial expression of known genes in many important applications, especially when the amount of RNA is limited.

AccuTyping: new algorithms for automated analysis of data from high-throughput genotyping with oligonucleotide microarrays.

Microarray-based analysis of single nucleotide polymorphisms (SNPs) has many applications in large-scale genetic studies. To minimize the influence of experimental variation, microarray data usually need to be processed in different aspects including background subtraction, normalization and low-signal filtering before genotype determination. Although many algorithms are sophisticated for these purposes, biases are still present. In the present paper, new algorithms for SNP microarray data analysis and the software, AccuTyping, developed based on these algorithms are described. The algorithms take advantage of a large number of SNPs included in each assay, and the fact that the top and bottom 20% of SNPs can be safely treated as homozygous after sorting based on their ratios between the signal intensities. These SNPs are then used as controls for color channel normalization and background subtraction. Genotype calls are made based on the logarithms of signal intensity ratios using two cutoff values, which were determined after training the program with a dataset of approximately 160,000 genotypes and validated by non-microarray methods. AccuTyping was used to determine >300,000 genotypes of DNA and sperm samples. The accuracy was shown to be >99%. AccuTyping can be downloaded from http://www2.umdnj.edu/lilabweb/publications/AccuTyping.html.

High-throughput genotyping of single nucleotide polymorphisms with high sensitivity.

The ability to analyze a large number of genetic markers consisting of single nucleotide polymorphisms (SNPs) may bring about significant advance in understanding human biology. Recent development of several high-throughput genotyping approaches has significantly facilitated large-scale SNP analysis. However, because of their relatively low sensitivity, application of these approaches, especially in studies involving a small amount of material, has been limited. In this chapter, detailed experimental procedures for a high-throughput and highly sensitive genotyping system are described. The system involves using computer program selected primers that are expected not to generate a significant amount of nonspecific products during PCR amplification. After PCR, a small aliquot of the PCR product is used as templates to generate single-stranded DNA (ssDNA). ssDNA sequences from different SNP loci are then resolved by hybridizing these sequences to the probes arrayed onto glass surface. The probes are designed in such a way that hybridizing to the ssDNA templates places their 3'-ends next to the polymorphic sites. Therefore, the probes can be labeled in an allele-specific way using fluorescently labeled dye terminators. The allelic states of the SNPs can then be determined by analyzing the amounts of different fluorescent colors incorporated to the corresponding probes. The genotyping system is highly accurate and capable of analyzing >1000 SNPs in individual haploid cells.

Multiplex loss of heterozygosity analysis by using single or very few cells.

Loss of heterozygosity (LOH) is an indication of tumor suppressor gene inactivation. However, loss of heterozygosity analysis has been limited to either a small scale or to very few genetic markers. To significantly increase the scale of study and to include a large number of markers in the analysis, experimental conditions were established for using single cells or single cell equivalent with 10 markers typed simultaneously. Under these conditions, the allele amplification failure rate was 3.7% when single tissue cultured human cells were used. When 30 cells from a 5- micro m paraffin-archived breast tumor tissue section were used, the failure rates were 0% for four of the five heterozygous loci and 10% for the fifth. Small amplification failure rates (6.1% and 6.7% on average) were observed when 5 or 10 cells from paraffin-archived breast tissue were used. These results indicate that with polymerase chain reaction (PCR) primers of high quality, it is possible to obtain reliable results by using single cells from fresh tissue or very few cells from paraffin-archived specimens. The results also show the importance of including replicates, using primers of high quality, and optimizing PCR conditions when a limited amount of material is used for the assay. The feasibility of LOH analysis with very few paraffin-embedded breast cancer tissues was demonstrated.

Genetic structures of copy number variants revealed by genotyping single sperm.

BACKGROUND: Copy number variants (CNVs) occupy a significant portion of the human genome and may have important roles in meiotic recombination, human genome evolution and gene expression. Many genetic diseases may be underlain by CNVs. However, because of the presence of their multiple copies, variability in copy numbers and the diploidy of the human genome, detailed genetic structure of CNVs cannot be readily studied by available techniques. METHODOLOGY/PRINCIPAL FINDINGS: Single sperm samples were used as the primary subjects for the study so that CNV haplotypes in the sperm donors could be studied individually. Forty-eight CNVs characterized in a previous study were analyzed using a microarray-based high-throughput genotyping method after multiplex amplification. Seventeen single nucleotide polymorphisms (SNPs) were also included as controls. Two single-base variants, either allelic or paralogous, could be discriminated for all markers. Microarray data were used to resolve SNP alleles and CNV haplotypes, to quantitatively assess the numbers and compositions of the paralogous segments in each CNV haplotype. CONCLUSIONS/SIGNIFICANCE: This is the first study of the genetic structure of CNVs on a large scale. Resulting information may help understand evolution of the human genome, gain insight into many genetic processes, and discriminate between CNVs and SNPs. The highly sensitive high-throughput experimental system with haploid sperm samples as subjects may be used to facilitate detailed large-scale CNV analysis.

Strong correlation between meiotic crossovers and haplotype structure in a 2.5-Mb region on the long arm of chromosome 21.

Although the haplotype structure of the human genome has been studied in great detail, very little is known about the mechanisms underlying its formation. To investigate the role of meiotic recombination on haplotype block formation, single nucleotide polymorphisms were selected at a high density from a 2.5-Mb region of human chromosome 21. Direct analysis of meiotic recombination by high-throughput multiplex genotyping of 662 single sperm identifies 41 recombinants. The crossovers were nonrandomly distributed within 16 small areas. All, except one, of these crossovers fall in areas where the haplotype structure exhibits breakdown, displaying a strong statistically positive association between crossovers and haplotype block breaks. The data also indicate a particular clustered distribution of recombination hotspots within the region. This finding supports the hypothesis that meiotic recombination makes a primary contribution to haplotype block formation in the human genome.

A genotyping system capable of simultaneously analyzing >1000 single nucleotide polymorphisms in a haploid genome.

A high-throughput genotyping system for scoring single nucleotide polymorphisms (SNPs) has been developed. With this system, >1000 SNPs can be analyzed in a single assay, with a sensitivity that allows the use of single haploid cells as starting material. In the multiplex polymorphic sequence amplification step, instead of attaching universal sequences to the amplicons, primers that are unlikely to have nonspecific and productive interactions are used. Genotypes of SNPs are then determined by using the widely accessible microarray technology and the simple single-base extension assay. Three SNP panels, each consisting of >1000 SNPs, were incorporated into this system. The system was used to analyze 24 human genomic DNA samples. With 5 ng of human genomic DNA, the average detection rate was 98.22% when single probes were used, and 96.71% could be detected by dual probes in different directions. When single sperm cells were used, 91.88% of the SNPs were detectable, which is comparable to the level that was reached when very few genetic markers were used. By using a dual-probe assay, the average genotyping accuracy was 99.96% for 5 ng of human genomic DNA and 99.95% for single sperm. This system may be used to significantly facilitate large-scale genetic analysis even if the amount of DNA template is very limited or even highly degraded as that obtained from paraffin-embedded cancer specimens, and to make many unpractical research projects highly realistic and affordable.

Genetic diversity of the human immunoglobulin heavy chain VH region.

The human immunoglobulin heavy chain VH region is one of the most complex regions in the human genome. The high level of diversity of this region has been shown by a number of studies. However, because of the limitations of the conventional experimental methods, it has been difficult to learn the extent of the diversity and the underlying mechanisms. This review describes a number of new genetic approaches developed in the authors' laboratory. By using these approaches, significant progress has been made in assigning different VH sequences to their respective loci, in learning the diversity of gene segment number and composition among the VH haplotypes, and in learning VH gene segment organization in individual haplotypes. Information obtained toward this direction could help in understanding the mechanisms underlying VH region diversity and the biological impact of the VH region diversity.