Samuel Granjeaud

Inducible Antibacterial Defense System in C. elegans

The term innate immunity refers to a number of evolutionary ancient mechanisms that serve to defend animals and plants against infection. Genetically tractable model organisms, especially Drosophila, have contributed greatly to advances in our understanding of mammalian innate immunity. Essentially, nothing is known about immune responses in the nematode Caenorhabditis elegans. Using high-density cDNA microarrays, we show here that infection of C. elegans by the Gram-negative bacterium Serratia marcescens provokes a marked upregulation of the expression of many genes. Among the most robustly induced are genes encoding lectins and lysozymes, known to be involved in immune responses in other organisms. Certain infection-inducible genes are under the control of the DBL-1/TGFbeta pathway. We found that dbl-1 mutants exhibit increased susceptibility to infection. Conversely, overexpression of the lysozyme gene lys-1 augments the resistance of C. elegans to S. marcescens. These results constitute the first demonstration of inducible antibacterial defenses in C. elegans and open new avenues for the investigation of evolutionary conserved mechanisms of innate immunity.

Expression profiling: DNA arrays in many guises

DNA arrays have become the preferred method for large-scale expression measurement. Such data are needed in view of the large amounts of sequence data available: expression levels in a number of different tissues or situations provide a first step toward functional characterisation of new entities revealed by DNA sequencing. Although the basic principle of measurement is in all cases based on hybridisation of a mixed probe derived from tissue RNA to large sets of DNA fragments representing many genes, a number of different forms of implementation of this principle are at hand. They are briefly described and compared, emphasizing the important issue of sensitivity and sample requirements and the accessibility of the methods to academic scientists. When these factors are taken into account, it appears that, contrary to a largely prevalent impression, the best approach is not necessarily always provided by the widely advertised glass microarrays or oligonucleotide chips.

Gene expression profiling defines molecular subtypes of classical Hodgkin's disease

Although the prognosis of Hodgkins disease is relatively good, around 20% of patients do not benefit from current therapies and succumb to their disease. A large-scale molecular characterization of disease might help improve HD management. Using cDNA arrays, we studied the mRNA expression levels of ∼1000 selected genes in 34 benign and malignant lymphoid samples including 21 classical Hodgkins disease (HD) tissue samples. Hierarchical clustering identified three main molecular groups of HD tumours relevant with respect to histology and clinical outcome (response to therapy and survival). Samples from all bad outcome HD (BOHD) patients clustered in one group whereas the two other groups contained most good outcome HD (GOHD) cases. The nodular sclerosis GOHD samples overexpressed genes involved in apoptotic induction and cell signalling, including cytokines, while the BOHD samples were characterized by the upregulation of genes involved in fibroblast activation, angiogenesis, extracellular matrix remodelling, cell proliferation, and the downregulation of tumour suppressor genes. Our results establish a molecular taxonomy of HD correlating with response to therapy and clinical outcome, thereby suggesting the possibility of improving the current prognostic classification.

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.

Differential gene expression in CD3epsilon- and RAG1-deficient thymuses: definition of a set of genes potentially involved in thymocyte maturation.

Abstractu2002A set of 3000 mouse thymus cDNAs was analyzed by extensive measurement of expression using complex-probe hybridization of DNA arrays (quantitative differential screening). The complex probes were initially prepared using total thymus RNA isolated from C57BL/6 wild-type (WT), CD3e- and RAG1-deficient mice. Over 100 clones displaying over- or under-expression by at least a factor of two between WT and knockout (KO) thymuses were further analyzed by measuring hybridization signatures with probes from a wide range of KO thymuses, cell types, organs, and embryonic thymuses. A restricted set of clones was selected by virtue of their expression spectra (modulation in KO thymuses and thymocytes, lymphoid cell specificity, and differential expression during embryonic thymus development), sequenced at one extremity, and compared to sequences in databases. Clones corresponding to previously identified genes (e.g., Tcrβ, Tcf1 or CD25) showed expression patterns that were consistent with existing data. Ten distinct clones corresponding to new genes were subjected to further study: Northern blot hybridization, in situ hybridization on thymus sections, and partial or complete mRNA sequence determination. Among these genes, we report a new serine peptidase highly expressed in cortical epithelial cells that we have named thymus-specific serine peptidase (TSSP), and an acidic protein expressed in thymocytes and of unknown function that we have named thymus-expressed acidic protein (TEAP). This approach identifies new molecules likely to be involved in thymocyte differentiation and function.

Vanin genes are clustered (human 6q22-24 and mouse 10A2B1) and encode isoforms of pantetheinase ectoenzymes.

Abstract. The mouse Vanin-1 molecule plays a role in thymic reconstitution following damage by irradiation. We recently demonstrated that it is a membrane pantetheinase (EC 3.56.1.–). This molecule is the prototypic member of a larger Vanin family encoded by at least two mouse (Vanin-1 and Vanin-3) and three human (VNN1, VNN2, VNN3) orthologous genes. We now report (1) the structural characterization of the human and mouse Vanin genes and their organization in clusters on the 6q22–24 and 10A2B1 chromosomes, respectively; (2) identification of the human VNN3 gene and the demonstration that the mouse Vanin-3 molecule is secreted by cells, and (3) that the Vanin genes encode different isoforms of the mammalian pantetheinase activity. Thus, the Vanin family represents a novel class of secreted or membrane-associated ectoenzymes. We discuss here their possible role in processes pertaining to tissue repair in the context of oxidative stress.

Plasmodium falciparum proteome changes in response to doxycycline treatment

BackgroundThe emergence of Plasmodium falciparum resistance to most anti-malarial compounds has highlighted the urgency to develop new drugs and to clarify the mechanisms of anti-malarial drugs currently used. Among them, doxycycline is used alone for malaria chemoprophylaxis or in combination with quinine or artemisinin derivatives for malaria treatment. The molecular mechanisms of doxycycline action in P. falciparum have not yet been clearly defined, particularly at the protein level.MethodsA proteomic approach was used to analyse protein expression changes in the schizont stage of the malarial parasite P. falciparum following doxycycline treatment. A comparison of protein expression between treated and untreated protein samples was performed using two complementary proteomic approaches: two-dimensional fluorescence difference gel electrophoresis (2D-DIGE) and isobaric tagging reagents for relative and absolute quantification (iTRAQ).ResultsAfter doxycycline treatment, 32 and 40 P. falciparum proteins were found to have significantly deregulated expression levels by 2D-DIGE and iTRAQ methods, respectively. Although some of these proteins have been already described as being deregulated by other drug treatments, numerous changes in protein levels seem to be specific to doxycycline treatment, which could perturb apicoplast metabolism. Quantitative reverse transcription polymerase chain reaction (RT-PCR) was performed to confirm this hypothesis.ConclusionsIn this study, a specific response to doxycycline treatment was distinguished and seems to involve mitochondrion and apicoplast organelles. These data provide a starting point for the elucidation of drug targets and the discovery of mechanisms of resistance to anti-malarial compounds.

Feature extraction and signal processing for nylon DNA microarrays

BackgroundHigh-density DNA microarrays require automatic feature extraction methodologies and softwares. These can be a potential source of non-reproducibility of gene expression measurements. Variation in feature location or in signal integration methodology may be a significant contribution to the observed variance in gene expression levels.ResultsWe explore sources of variability in feature extraction from DNA microarrays on Nylon membrane with radioactive detection. We introduce a mathematical model of the signal emission and derive methods for correcting biases such as overshining, saturation or variation in probe amount. We also provide a quality metric which can be used qualitatively to flag weak or untrusted signals or quantitatively to modulate the weight of each experiment or gene in higher level analyses (clustering or discriminant analysis).ConclusionsOur novel feature extraction methodology, based on a mathematical model of the radioactive emission, reduces variability due to saturation, neighbourhood effects and variable probe amount. Furthermore, we provide a fully automatic feature extraction software, BZScan, which implements the algorithms described in this paper.

Entropy Measures Quantify Global Splicing Disorders in Cancer

Most mammalian genes are able to express several splice variants in a phenomenon known as alternative splicing. Serious alterations of alternative splicing occur in cancer tissues, leading to expression of multiple aberrant splice forms. Most studies of alternative splicing defects have focused on the identification of cancer-specific splice variants as potential therapeutic targets. Here, we examine instead the bulk of non-specific transcript isoforms and analyze their level of disorder using a measure of uncertainty called Shannons entropy. We compare isoform expression entropy in normal and cancer tissues from the same anatomical site for different classes of transcript variations: alternative splicing, polyadenylation, and transcription initiation. Whereas alternative initiation and polyadenylation show no significant gain or loss of entropy between normal and cancer tissues, alternative splicing shows highly significant entropy gains for 13 of the 27 cancers studied. This entropy gain is characterized by a flattening in the expression profile of normal isoforms and is correlated to the level of estimated cellular proliferation in the cancer tissue. Interestingly, the genes that present the highest entropy gain are enriched in splicing factors. We provide here the first quantitative estimate of splicing disruption in cancer. The expression of normal splice variants is widely and significantly disrupted in at least half of the cancers studied. We postulate that such splicing disorders may develop in part from splicing alteration in key splice factors, which in turn significantly impact multiple target genes.

From hybridization image to numerical values: a practical, high throughput quantification system for high density filter hybridizations

Hybridization to sets of bacterial colonies or PCR products arrayed on high density filters is used in a number of experimental schemes. In many cases it is desirable to collect quantitative information (hybridization signatures) rather than indications on positive and negative colonies. We present a practical system, based on an imaging plate analyser and a customized version of commercial software, that makes such quantification feasible, and define its performance in terms of reproducibility and linearity. The system is far superior to methods based on autoradiography and should be useful in many projects that involve the increasingly popular high density filter format.