Christa Prange

Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences.

The National Institutes of Health Mammalian Gene Collection (MGC) Program is a multiinstitutional effort to identify and sequence a cDNA clone containing a complete ORF for each human and mouse gene. ESTs were generated from libraries enriched for full-length cDNAs and analyzed to identify candidate full-ORF clones, which then were sequenced to high accuracy. The MGC has currently sequenced and verified the full ORF for a nonredundant set of >9,000 human and >6,000 mouse genes. Candidate full-ORF clones for an additional 7,800 human and 3,500 mouse genes also have been identified. All MGC sequences and clones are available without restriction through public databases and clone distribution networks (see http://mgc.nci.nih.gov).

An encyclopedia of mouse genes

The laboratory mouse is the premier model system for studies of mammalian development due to the powerful classical genetic analysis possible (see also the Jackson Laboratory web site, http://www.jax.org/) and the ever–expanding collection of molecular tools. To enhance the utility of the mouse system, we initiated a program to generate a large database of expressed sequence tags (ESTs) that can provide rapid access to genes. Of particular significance was the possibility that cDNA libraries could be prepared from very early stages of development, a situation unrealized in human EST projects. We report here the development of a comprehensive database of ESTs for the mouse. The project, initiated in March 1996, has focused on 5´ end sequences from directionally cloned, oligo–dT primed cDNA libraries. As of 23 October 1998, 352,040 sequences had been generated, annotated and deposited in dbEST, where they comprised 93% of the total ESTs available for mouse. EST data are versatile and have been applied to gene identification, comparative sequence analysis, comparative gene mapping and candidate disease gene identification, genome sequence annotation, microarray development and the development of gene–based map resources.

Molecular profiling of clinical tissue specimens: feasibility and applications.

The relationship between gene expression profiles and cellular behavior in humans is largely unknown. Expression patterns of individual cell types have yet to be precisely measured, and, at present, we know or can predict the function of a relatively small percentage of genes. However, biomedical research is in the midst of an informational and technological revolution with the potential to increase dramatically our understanding of how expression modulates cellular phenotype and response to the environment. The entire sequence of the human genome will be known by the year 2003 or earlier. 1,2 In concert, the pace of efforts to complete identification and full-length cDNA sequencing of all genes has accelerated, and these goals will be attained within the next few years. 3-7 Accompanying the expanding base of genetic information are several new technologies capable of global gene expression measurements. 8-16 Taken together, the expanding genetic database and developing expression technologies are leading to an exciting new paradigm in biomedical research known as molecular profiling.

Molecular Profiling of Clinical Tissue Specimens : Feasibility and Applications

The relationship between gene expression profiles and cellular behavior in humans is largely unknown. Expression patterns of individual cell types have yet to be precisely measured, and, at present, we know or can predict the function of a relatively small percentage of genes. However, biomedical research is in the midst of an informational and technological revolution with the potential to increase dramatically our understanding of how expression modulates cellular phenotype and response to the environment. The entire sequence of the human genome will be known by the year 2003 or earlier. 1, 2 In concert, the pace of efforts to complete identification and full-length cDNA sequencing of all genes has accelerated, and these goals will be attained within the next few years. 3, 4, 5, 6, 7 Accompanying the expanding base of genetic information are several new technologies capable of global gene expression measurements. 8, 9, 10, 11, 12, 13, 14, 15, 16 Taken together, the expanding genetic database and developing expression technologies are leading to an exciting new paradigm in biomedical research known as molecular profiling.

Characterization of the human neurocan gene, CSPG3.

Neurocan is a chondroitin sulfate proteoglycan thought to be involved in the modulation of cell adhesion and migration. Its sequence has been determined previously in rat and mouse (Rauch et al., 1992. Cloning and primary structure of neurocan, a developmentally regulated, aggregating, chondroitin sulfate proteoglycan of the brain. J. Biol. Chem. 267, 19536-19547; Rauch et al., 1995. Structure and chromosomal location of the mouse neurocan gene. Genomics 28, 405-410). We describe here the complete coding sequence of the human neurocan mRNA, known as CSPG3, as well as mapping data, expression analysis, and genomic structure. A cDNA known as CP-1 was initially sequenced as part of a gene discovery project focused on characterizing chromosome 19-specific cDNAs. Sequence homology searches indicated close homology to the mouse and rat proteoglycan, neurocan (GenBank accession Nos X84727 and M97161). Northern analysis identified a brain-specific transcript of approx. 7.5kb. A longer cDNA clone, GT-5, was obtained, fine-mapped to the physical map of chromosome 19 by hybridization to a chromosome-specific cosmid library, and sequenced. Full coding sequence of the mRNA indicates a 3963bp open reading frame corresponding to a 1321 amino acid protein, similar to the protein length found in mouse and rat. The amino acid sequence of human neurocan shows 63% identity with both the mouse and rat sequences. Finally, genomic sequencing of a cosmid containing the complete neurocan gene was performed to determine the genomic structure of the gene, which spans approx. 41kb, and is transcribed in the telomere to centromere orientation.

Expression of multiple larger-sized transcripts for several genes in oligodendrogliomas: potential markers for glioma subtype

Astrocytomas and oligodendrogliomas are two brain tumors that follow different clinical courses. Although many of these tumors can be identified based on standard histopathological criteria, a significant percentage present notable problems in diagnosis. To identify markers that might prove useful in distinguishing glioma subtypes, we prepared and analyzed cDNA libraries for differential expression of genes in an astrocytoma (grade II), an oligodendroglioma (grade II), and a meningioma (benign). The tumor libraries were compared by sequencing randomly selected clones and tabulating the expression frequency of each gene. In addition to identifying several genes previously reported or expected to be differentially expressed among these tumors, several potential new brain tumor markers were identified and confirmed by Northern blot analysis of a panel of brain tumors. A surprising result of this analysis was the observation that several larger-sized transcripts for various genes were predominantly expressed in the oligodendroglioma tumors, when compared to the other brain tumors or in non-tumor gray matter. These findings are consistent with different pre-mRNA splicing patterns observed between oligodendrogliomas and astrocytomas. In support of this hypothesis, our screen revealed significantly higher levels of two hnRNP A1 transcripts in oligodendrogliomas. hnRNP A1 is a component of the spliceosome whose expression levels affect splice site selection in vivo. The preferential expression of larger-sized transcripts for several genes in oligodendrogliomas may be useful for distinguishing astrocytic and oligodendroglial gliomas.

Automated Construction of an Open Reading Frame Library from Sinorhizobium meliloti

An automated, high-throughput, open reading frame (ORF) library construction process has been developed. ORFs from genomic DNA of the microbe Sinorhizobium meliloti were amplified by PCR and cloned into the library vector by homologous recombination instead of traditional ligation. From 960 targets, we successfully generated 723 (75.3%) ORFs from the initial PCR. After cloning the successful samples into the library vector, transforming into E. coli and PCR colony screening, 371 (38.6% overall) ORFs were placed into the new library and sequenced. Our prototype library contained 314 (32.7% overall) clones with sequence identity to the Sinorhizobium meliloti genome.