The sequence of the mouse genome is a key informational tool for understanding the contents of the human genome and a key experimental tool for biomedical research. Here, we report the results of an international collaboration to produce a high-quality draft sequence of the mouse genome. We also present an initial comparative analysis of the mouse and human genomes, describing some of the insights that can be gleaned from the two sequences. We discuss topics including the analysis of the evolutionary forces shaping the size, structure and sequence of the genomes; the conservation of large-scale synteny across most of the genomes; the much lower extent of sequence orthology covering less than half of the genomes; the proportions of the genomes under selection; the number of protein-coding genes; the expansion of gene families related to reproduction and immunity; the evolution of proteins; and the identification of intraspecies polymorphism.

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Initial sequencing and comparative analysis of the mouse genome.

Evolution of Protein Molecules

Experimental genomics involves taking advantage of sequence information to investigate and understand the workings of genes, cells and organisms. We have developed an approach in which sequence information is used directly to design high-density, two-dimensional rays of synthetic oligonucleotides. The GeneChipe probe arrays are made using spatially patterned, light-directed combinatorial chemical synthesis and contain up to hundreds of thousands of different oligonucleotides on a small glass surface. The arrays have been designed and used for quantitative and highly parallel measurements of gene expression, to discover polymorphic loci and to detect the presence of thousands of alternative alleles. Here, we describe the fabrication of the arrays, their design and some specific applications to high-throughput genetic and cellular analysis.

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High density synthetic oligonucleotide arrays

Experimental genomics in combination with the growing body of sequence information promise to revolutionize the way cells and cellular processes are studied. Information on genomic sequence can be used experimentally with high-density DNA arrays that allow complex mixtures of RNA and DNA to be interrogated in a parallel and quantitative fashion. DNA arrays can be used for many different purposes, most prominently to measure levels of gene expression (messenger RNA abundance) for tens of thousands of genes simultaneously. Measurements of gene expression and other applications of arrays embody much of what is implied by the term ‘genomics’; they are broad in scope, large in scale, and take advantage of all available sequence information for experimental design and data interpretation in pursuit of biological understanding.

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Genomics, gene expression and DNA arrays.

The first wave of information from the analysis of the human genome revealed SNPs to be the main source of genetic and phenotypic human variation. However, the advent of genome-scanning technologies has now uncovered an unexpectedly large extent of what we term 'structural variation' in the human genome. This comprises microscopic and, more commonly, submicroscopic variants, which include deletions, duplications and large-scale copy-number variants - collectively termed copy-number variants or copy-number polymorphisms - as well as insertions, inversions and translocations. Rapidly accumulating evidence indicates that structural variants can comprise millions of nucleotides of heterogeneity within every genome, and are likely to make an important contribution to human diversity and disease susceptibility.

Structural variation in the human genome

High-density oligonucleotide arrays can be used to rapidly examine large amounts of DNA sequence in a high throughput manner. An array designed to determine the specific nucleotide sequence of 705 bp of the rpoB gene of Mycobacterium tuberculosis accurately detected rifampin resistance associated with mutations of 44 clinical isolates of M. tuberculosis. The nucleotide sequence diversity in 121 Mycobacterial isolates (comprised of 10 species) was examined by both conventional dideoxynucleotide sequencing of the rpoB and 16S genes and by analysis of the rpoB oligonucleotide array hybridization patterns. Species identification for each of the isolates was similar irrespective of whether 16S sequence, rpoB sequence, or the pattern of rpoB hybridization was used. However, for several species, the number of alleles in the 16S and rpoB gene sequences provided discordant estimates of the genetic diversity within a species. In addition to confirming the array's intended utility for sequencing the region of M. tuberculosis that confers rifampin resistance, this work demonstrates that this array can identify the species of nontuberculous Mycobacteria. This demonstrates the general point that DNA microarrays that sequence important genomic regions (such as drug resistance or pathogenicity islands) can simultaneously identify species and provide some insight into the organism's population structure.

/pdf/simultaneous-genotyping-and-species-identification-using-2256ifu36b.pdf

Simultaneous genotyping and species identification using hybridization pattern recognition analysis of generic mycobacterium dna arrays

Most human cancers are characterized by genomic instability, the accumulation of multiple genetic alterations and allelic imbalance throughout the genome. Loss of heterozygosity (LOH) is a common form of allelic imbalance and the detection of LOH has been used to identify genomic regions that harbor tumor suppressor genes and to characterize tumor stages and progression. Here we describe the use of high-density oligonucleotide arrays for genome-wide scans for LOH and allelic imbalance in human tumors. The arrays contain redundant sets of probes for 600 genetic loci that are distributed across all human chromosomes. The arrays were used to detect allelic imbalance in two types of human tumors, and a subset of the results was confirmed using conventional gel-based methods. We also tested the ability to study heterogeneous cell populations and found that allelic imbalance can be detected in the presence of a substantial background of normal cells. The detection of LOH and other chromosomal changes using large numbers of single nucleotide polymorphism (SNP) markers should enable identification of patterns of allelic imbalance with potential prognostic and diagnostic utility.

/pdf/genome-wide-detection-of-allelic-imbalance-using-human-snps-17ms4kno1z.pdf

Genome-wide Detection of Allelic Imbalance Using Human SNPs and High-density DNA Arrays

Self-tolerance is achieved by deleting or regulating self-reactive lymphocytes at a series of cellular checkpoints placed at many points along the developmental pathways to plasma cells and effector T cells. At each checkpoint, what are the molecular pathways that determine whether a lymphocyte remains quiescent, begins dividing, differentiates or dies? In splenic B cells, the decision between quiescence, tolerance by anergy, and activation provides a tractable setting to explore these issues by global gene expression profiling on DNA microarrays. Here we discuss the application of microarrays to illuminate a set of cell fate decisions that appear to be determined by summation of numerous small changes in expression of stimulatory and inhibitory genes. Many genes with known or predicted inhibitory functions are highly expressed in naive, quiescent B cells, notably the signal inhibitor SLAP and DNA-binding proteins of the Kruppel family (LKLF, BKLF, GKLF), Tsc-22, GILZ, Id-3, and GADD45. Activation of naive B cells, triggered by acute binding of antigen to the B-cell receptor, involves a rapid decrease in expression of these inhibitory genes. Promitotic genes are induced in parallel, including c myc, LSIRF/IRF4, cyclin D2, Egr-1 and Egr-2, as are the anti-apoptotic gene A1 and genes for the T-cell-attracting chemokines MIP-1alpha and beta. B-cell tolerance through the process of anergy, induced by chronic binding of self antigen, maintains expression of the inhibitory genes found in quiescent B cells and induces an additional set of inhibitory genes. The latter include inhibitors of signaling - CD72, neurogranin, pcp4 - and additional inhibitors of gene expression such as SATB1, MEF2C, TGIF and Nab-2. The effects of tolerance, the immunosuppressive drug FK506 and other modulators of calcium or MAPK signaling allow individual gene responses to be linked to different signal transduction pathways. The global molecular profiles obtained illustrate how quiescence and anergy are actively maintained in circulating B cells, how these states are switched to clonal expansion and how they could be better emulated by pro-tolerogenic drugs.

B-lymphocyte quiescence, tolerance and activation as viewed by global gene expression profiling on microarrays.

gammadelta T lymphocytes in the intestinal intraepithelial layer (gammadelta IELs) are thought to contribute to immune competence, but their actual function remains poorly understood. Here we used DNA microarrays to study the gene expression profile of gammadelta IELs in a Yersinia infection system to better define their roles. To validate this approach, mesenteric lymph node CD8(+) alphabeta T cells were similarly analyzed. The transcription profiles show that, whereas lymph node CD8(+) alphabeta T cells must be activated to become cytotoxic effectors, gammadelta IELs are constitutively activated and appear to use different signaling cascades. Our data suggest that gammadelta IELs may respond efficiently to a broad range of pathological situations irrespective of their diverse T cell antigen receptor repertoire. gammadelta IELs may modulate local immune responses and participate in intestinal lipid metabolism, cholesterol homeostasis, and physiology. This study provides a strong basis for further investigations of the roles of these cells as well as mucosal immune defense in general.

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Attributes of gammadelta intraepithelial lymphocytes as suggested by their transcriptional profile.

This invention provides oligonucleotide-based arrays and methods for speciating and phenotyping organisms, for example, using oligonucleotide sequences based on the Mycobacterium tuberculosis rpoB gene. The groups or species to which an organism belongs may be determined by comparing hybridization patterns of target nucleic acid from the organism to hybridization patterns in a database.

Ghassan Ghandour

Papers

Simultaneous genotyping and species identification using hybridization pattern recognition analysis of generic mycobacterium dna arrays

Genome-wide Detection of Allelic Imbalance Using Human SNPs and High-density DNA Arrays

B-lymphocyte quiescence, tolerance and activation as viewed by global gene expression profiling on microarrays.

Attributes of gammadelta intraepithelial lymphocytes as suggested by their transcriptional profile.

Chip-based speciation and phenotypic characterization of microorganisms