Modulation of mRNA levels in the presence of thymocytes and genome mapping for a set of genes expressed in mouse thymic epithelial cells

Application of genome-wide gene expression profiling by high-density DNA arrays to the treatment and study of inflammatory bowel disease

Identification of factors involved in the initiation, amplification, and perpetuation of the chronic immune response and the identification of markers for the characterization of patient subgroups remain critical objectives for ongoing research in inflammatory bowel disease (IBD). The Human Genome Project and the development of the expressed sequence tag (EST) clone collection and database have made possible a new revolution in gene expression analysis. Instead of measuring one or a few genes, parallel DNA microarrays are capable of simultaneously measuring expression of thousands of genes, providing a glimpse into the logic and functional grouping of gene programs encoded by our genome. Applied to clinical specimens from affected and normal individuals, this methodology has the potential to provide a new level of information about disease pathogenesis not previously possible. Two dominant platforms for the construction of high-density microarrays have emerged: cDNA arrays and GeneChips. The first involves robotic spotting of DNA molecules, often derived from EST clone collections, onto a suitable solid phase matrix such as a glass slide. The second involves direct in situ synthesis of sets of gene-specific oligonucleotides on a silicon wafer by an eloquent derivative of the photolithography process. Both cDNA and oligonucleotide arrays are interrogated by hybridization with a fluorescent-labeled cDNA or cRNA representation of the original tissue mRNA. This enables measurement of the expression levels for thousands of mucosal genes in a single experiment. These technologies have recently become less expensive and more widely accessible to all researchers. This review details the principles and methods behind DNA array technology, data analysis and mining, and potential application to research and treatment of IBD.

Gene expression profile and identification of differentially expressed transcripts during human intrathymic T-cell development by cDNA sequencing analysis

The development of immature thymocytes to mature T-lymphocytes is a central process for establishing a functional immune system. The gene regulatory events involved in this process are of outstanding interest in understanding the generation of the T-cell repertoire as well as the differentiation of lineage-specific cells, such as CD4(+) helper T-cells or CD8(+) cytotoxic T-lymphocytes. While some essential genes involved in lineage decision and thymocyte differentiation have been already identified, the exact regulatory mechanisms and differential gene expressions are still unknown. The present study was performed to analyze the gene expression profile during T-cell development, in particular, during the differentiation of immature thymocytes into CD4(+) mature T-cells by analyses of expressed sequence tags (ESTs), and to elucidate novel human genes involved in this process. Based on distinct developmental stages, three PCR-based cDNA libraries from immature CD3(-),4(-),8(-) triple-negative, CD4(+),8(+) double-positive, and mature CD4(+),8(-) single-positive thymocytes were constructed. A total of 1477 randomly selected clones were analyzed by automated single-pass sequencing, and the assembly of ESTs resulted in 1027 different species of contig sequences. Among them, 392 contig sequences were matched to known genes, and several novel transcripts were discovered. The matched clones were classified into seven categories according to their functional aspects, and the gene expression profiles of the three thymocyte subsets were compared. The information obtained in current study will serve as a valuable resource for elucidating the molecular mechanism of intrathymic T-cell development.

DNA microarray technology and antimicrobial drug discovery

The genomics era is providing us with vast amounts of information derived from whole-genome sequencing. This will doubtlessly revolutionise biology and the way novel medicines will be discovered. To leverage this information efficiently, however, technologies in addition to high-throughput sequencing are required. DNA microarray technology is one technology that has already shown great potential for both basic research and drug discovery. With particular emphasis on antibacterial research we will summarise in this review the key technological aspects and most important applications of DNA microarrays demonstrated so far.

Expression scanning of an array of growth control genes in human tumor cell lines

Analysis of gene expression on a medium- or large-scale is an increasingly recognized method for functional and clinical investigations based on the now extensive catalog of known or partially sequenced genes. The accessibility of this approach can be enhanced by using readily available technology (macroarrays on Nylon, radioactive detection) and the IMAGE resource to assemble sets of targets. We have set up such a medium-scale, flexible system and validated it by the study of quantitative expression levels for 120 genes in six cell lines, including three mammary carcinoma cell lines. A number of important parameters are identified as necessary for the assembly of a valid set and the obtention of good-quality quantitative data. The extensive data assembled in this survey identified potential targets of carcinogenesis, for example the CRABP2 and GATA3 transcription factor genes. We also demonstrate the feasibility of this procedure for relatively small tumor samples, without recourse to probe amplification methods.

Engagement of Natural Cytotoxicity Programs Regulates AP-1 Expression in the NKL Human NK Cell Line

NK cell cytotoxicity is a fast and efficient mechanism of target cell lysis. Using transcription analysis, such as multiplex messenger assays, we show here that natural cytotoxicity exerted by the human NKL cell line correlates with mRNA accumulation of very early activator protein (AP)-1 transcription factor genes such as JunB, FosB and c-Fos. In addition, DNA-binding activities of Jun-Fos heterodimers were observed by electrophoretic mobility shift assays during the course of natural cytotoxicity. Interaction between immunoglobulin-like transcript-2/leukocyte Ig-like receptor 1 on NKL cells and HLA-B27 on target cells leads to an impairment of NKL natural cytotoxicity, which correlates with an absence of JunB, FosB, and c-Fos transcription, as well as an absence of their DNA-binding activity. Our studies thus indicate that, despite the rapidity of NK cell-mediated lysis, AP-1 transcription factor is activated during the early stage of NK cell cytolytic programs and that engagement of NK cell inhibitory receptors for MHC class I molecules impairs the very early activation of AP-1.

Differential expression assay of chromosome arm 8p genes identifies Frizzled-related (FRP1/FRZB) and Fibroblast Growth Factor Receptor 1 (FGFR1) as candidate breast cancer genes

Deletions and amplifications are frequent alterations of the short arm of chromosome 8 associated with various types of cancers, including breast cancers. This indicates the likely presence of tumor suppressor genes and oncogenes. In the present study, we have used the expressed sequence tag (EST) map of 8p11-21 to assemble a set of available cDNAs representing genes from this region. DNA arrays were prepared for expression analysis and search for genes potentially involved in breast cancer. Underexpresion in tumoral breast cells (versus normal breast) was observed for 15 transcripts. Among these, the Frizzled-related gene FRP1/FRZB, was turned off in 78% of breast carcinomas, suggesting that the lack of its product may be associated with malignant transformation. Overexpression in tumoral breast cells was observed for 13 genes. The FGFR1 gene, that encodes a tyrosine kinase receptor for members of the fibroblast growth factor family, was identified as a good candidate for one amplification unit. Taken together, our results demonstrate that such a strategy can rapidly identify genes with an altered pattern of expression and provide candidate genes for malignancies.

'LABNOTE', a laboratory notebook system designed for academic genomics groups

We have developed a relational laboratory database system, adapted to the daily book-keeping needs of laboratories that must keep track of information acquired on hundreds or thousands of clones in an effective and user-friendly fashion. Data, whether final or related to experiments in progress, can be accessed in many different ways, e.g. by clone name, by gene, by experiment or through DNA sequence. Updating, import and export of results is made easier by specially developed tools. This system, in network version, serves several groups in our Institute and (over the Internet) elsewhere, and is instrumental in collaborative studies based on expression profiling. It can be used in many similar situations involving progressiveaccumulation of information on sets of clones or related objects.

A subtractive PCR-based cDNA library made from fetal thymic stromal cells

We describe our initial approach to clone and characterize genes expressed preferentially in thymic stromal cells, in an attempt to generate molecular reagents to study the role of these cells in thymopoiesis and thymic function. Thymic stromal cells were prepared from fetal thymic organ cultures by treating them with 2-deoxyguanosine and depleting the remaining hematopoietic cells with anti-CD45 antibody. A cDNA library was then prepared after subtraction and amplification by PCR. The cloned inserts were sequenced and compared for homology with known genes in the data base. Unidentified cDNAs were then examined for expression in normal and SCID thymus and in a set of SV40-transformed thymic epithelial cell lines, by Northern blotting and a dot blot assay. In this report we describe the development of the library and present a general description of the genes identified from the initial 249 cDNAs sequenced. Among these, a relatively high percentage (55%) do not show any homology to previously identified genes. Several genes with a limited expression pattern were selected for further study.