Eric Eveno

Deciphering cellular states of innate tumor drug responses.

BackgroundThe molecular mechanisms underlying innate tumor drug resistance, a major obstacle to successful cancer therapy, remain poorly understood. In colorectal cancer (CRC), molecular studies have focused on drug-selected tumor cell lines or individual candidate genes using samples derived from patients already treated with drugs, so that very little data are available prior to drug treatment.ResultsTranscriptional profiles of clinical samples collected from CRC patients prior to their exposure to a combined chemotherapy of folinic acid, 5-fluorouracil and irinotecan were established using microarrays. Vigilant experimental design, power simulations and robust statistics were used to restrain the rates of false negative and false positive hybridizations, allowing successful discrimination between drug resistance and sensitivity states with restricted sampling. A list of 679 genes was established that intrinsically differentiates, for the first time prior to drug exposure, subsequently diagnosed chemo-sensitive and resistant patients. Independent biological validation performed through quantitative PCR confirmed the expression pattern on two additional patients. Careful annotation of interconnected functional networks provided a unique representation of the cellular states underlying drug responses.ConclusionMolecular interaction networks are described that provide a solid foundation on which to anchor working hypotheses about mechanisms underlying in vivo innate tumor drug responses. These broad-spectrum cellular signatures represent a starting point from which by-pass chemotherapy schemes, targeting simultaneously several of the molecular mechanisms involved, may be developed for critical therapeutic intervention in CRC patients. The demonstrated power of this research strategy makes it generally applicable to other physiological and pathological situations.

Retrovirus-mediated gene transfer corrects DNA repair defect of xeroderma pigmentosum cells of complementation groups A, B and C.

With the aim to devise a long-term gene therapy protocol for skin cancers in individuals affected by the inherited autosomal recessive xeroderma pigmentosum, we transferred the human DNA repair XPA, XPB/ERCC3 and XPC cDNAs, by using the recombinant retroviral vector LXSN, into primary and immortalized fibroblasts obtained from two XP-A, one XP-B (associated with Cockayne’s syndrome) and two XP-C patients. After transduction, the complete correction of DNA repair deficiency and functional expression of the transgenes were monitored by UV survival, unscheduled DNA synthesis and recovery of RNA synthesis, and Western blots. The results show that the recombinant retroviruses are highly efficient vectors to transfer and stably express the human DNA repair genes in XP cells and correct the defect of DNA repair of group A, B and C. With our previous results with XPD/ERCC2, the present work extends further promising issues for the gene therapy strategy for most patients suffering from this cancer-prone syndrome.

Differential Repair of the Two Major UV-Induced Photolesions in Trichothiodystrophy Fibroblasts

Defects in nucleotide excision repair have been shown to be associated with the photosensitive form of the disorder trichothiodystrophy (TTD). Most repair-deficient TTD patients are mutated in the XPD gene, a subunit of the transcription factor TFIIH. Knowledge of the kinetics and efficiency of repair of the two major UV-induced photolesions in TTD is critical to understand the role of unrepaired lesions in the process of carcinogenesis and explain the absence of enhanced skin cancer incidence in TTD patients contrarily to the xeroderma pigmentosum D patients. In this study, we used different approaches to quantify repair of UV-induced cyclobutane pyrimidine dimers (CPD) and pyrimidine (6–4) pyrimidone photoproducts (6–4PP) at the gene and the genome overall level. In cells of two TTD patients, repair of CPD and 6–4PP was reduced compared with normal human cells, but the reduction was more severe in confluent cells than in exponentially growing cells. Moreover, the impairment of repair was more drastic for CPD than 6–4PP. Most notably, exponentially growing TTD cells displayed complete repair 6–4PP over a broad dose range, albeit at a reduced rate compared with normal cells. Strand-specific analysis of CPD repair in a transcriptional active gene revealed that TTD cells were capable to perform transcription-coupled repair. Taken together, the data suggest that efficient repair of 6–4PP in dividing TTD cells in concert with transcription-coupled repair might account for the absence of increased skin carcinogenesis in TTD patients.

Long-term complementation of DNA repair deficient human primary fibroblasts by retroviral transduction of the XPD gene

Due to their limited life time in culture and their relative resistance to DNA transfection, primary fibroblasts derived from UV-hypersensitive patients could not be used for cloning DNA repair gene and studying stable complementation with wild-type DNA repair genes. Primary cells were only used for complementation analysis after transient expression through cell fusion. DNA microinjection and transfection. We report the retroviral-mediated highly efficient transfer and stable expression of XPD/ERCC2 gene in fibroblast strains from eight different patients using the LXPDSN retroviral vector. Cells derived from skin biopsies of xeroderma pigmentosum and trichothiodystrophy patients were incubated with vector-containing suspension and selected with the neomycin-analog G418. LXPDSN vector specifically complemented cells belonging to the XP-D group. Long-term reversion of repair-deficient phenotype, monitored by UV survival and UDS analysis, has been achieved in these diploid fibroblasts. We demonstrate this methodology is a powerful tool to study phenotypic reversion of nucleotide excision repair-deficient cells such as cellular DNA repair properties and we suggest that it may be used to study other cellular parameters (cell cycle regulation, p53 stability or immunosurveillance-controlling factors) involved in UV-induced skin cancers and which reliability requires the use of untransformed cells.

The Human Anatomic Gene Expression Library (H-ANGEL), the H-Inv integrative display of human gene expression across disparate technologies and platforms

The Human Anatomic Gene Expression Library (H-ANGEL) is a resource for information concerning the anatomical distribution and expression of human gene transcripts. The tool contains protein expression data from multiple platforms that has been associated with both manually annotated full-length cDNAs from H-InvDB and RefSeq sequences. Of the H-Inv predicted genes, 18 897 have associated expression data generated by at least one platform. H-ANGEL utilizes categorized mRNA expression data from both publicly available and proprietary sources. It incorporates data generated by three types of methods from seven different platforms. The data are provided to the user in the form of a web-based viewer with numerous query options. H-ANGEL is updated with each new release of cDNA and genome sequence build. In future editions, we will incorporate the capability for expression data updates from existing and new platforms. H-ANGEL is accessible at http://www.jbirc.aist.go.jp/hinv/h-angel/.

Identification of genes involved in ceramide-dependent neuronal apoptosis using cDNA arrays

BackgroundCeramide is important in many cell responses, such as proliferation, differentiation, growth arrest and apoptosis. Elevated ceramide levels have been shown to induce apoptosis in primary neuronal cultures and neuronally differentiated PC 12 cells.ResultsTo investigate gene expression during ceramide-dependent apoptosis, we carried out a global study of gene expression in neuronally differentiated PC 12 cells treated with C2-ceramide using an array of 9,120 cDNA clones. Although the criteria adopted for differential hybridization were stringent, modulation of expression of 239 genes was identified during the effector phase of C2-ceramide-induced cell death. We have made an attempt at classifying these genes on the basis of their putative functions, first with respect to known effects of ceramide or ceramide-mediated transduction systems, and then with respect to regulation of cell growth and apoptosis.ConclusionsOur cell-culture model has enabled us to establish a profile of gene expression during the effector phase of ceramide-mediated cell death. Of the 239 genes that met the criteria for differential hybridization, 10 correspond to genes previously involved in C2-ceramide or TNF-α signaling pathways and 20 in neuronal disorders, oncogenesis or more broadly in the regulation of proliferation. The remaining 209 genes, with or without known functions, constitute a pool of genes potentially implicated in the regulation of neuronal cell death.

A Functional and Regulatory Network Associated with PIP Expression in Human Breast Cancer

Background The PIP (prolactin-inducible protein) gene has been shown to be expressed in breast cancers, with contradictory results concerning its implication. As both the physiological role and the molecular pathways in which PIP is involved are poorly understood, we conducted combined gene expression profiling and network analysis studies on selected breast cancer cell lines presenting distinct PIP expression levels and hormonal receptor status, to explore the functional and regulatory network of PIP co-modulated genes. Principal Findings Microarray analysis allowed identification of genes co-modulated with PIP independently of modulations resulting from hormonal treatment or cell line heterogeneity. Relevant clusters of genes that can discriminate between [PIP+] and [PIP−] cells were identified. Functional and regulatory network analyses based on a knowledge database revealed a master network of PIP co-modulated genes, including many interconnecting oncogenes and tumor suppressor genes, half of which were detected as differentially expressed through high-precision measurements. The network identified appears associated with an inhibition of proliferation coupled with an increase of apoptosis and an enhancement of cell adhesion in breast cancer cell lines, and contains many genes with a STAT5 regulatory motif in their promoters. Conclusions Our global exploratory approach identified biological pathways modulated along with PIP expression, providing further support for its good prognostic value of disease-free survival in breast cancer. Moreover, our data pointed to the importance of a regulatory subnetwork associated with PIP expression in which STAT5 appears as a potential transcriptional regulator.

Matching gene expression with hypometabolism after cerebral ischemia in the nonhuman primate.

To correlate brain metabolic status with the molecular events during cerebral ischemia, a cDNA array was performed after positron emission tomography scanning in a model of focal cerebral ischemia in baboons. Cluster analysis for the expression of 74 genes allowed the identification of 4 groups of genes. In each of the distinct groups, the authors observed a marked inflection in the pattern of gene expression when the CMRo2 was reduced by 48% to 66%. These patterns of coordinated modifications in gene expression could define molecular checkpoints for the development of an ischemic infarct and a molecular definition of the penumbra.

M19 Modulates Skeletal Muscle Differentiation and Insulin Secretion in Pancreatic β-Cells through Modulation of Respiratory Chain Activity

Mitochondrial dysfunction due to nuclear or mitochondrial DNA alterations contributes to multiple diseases such as metabolic myopathies, neurodegenerative disorders, diabetes and cancer. Nevertheless, to date, only half of the estimated 1,500 mitochondrial proteins has been identified, and the function of most of these proteins remains to be determined. Here, we characterize the function of M19, a novel mitochondrial nucleoid protein, in muscle and pancreatic β-cells. We have identified a 13-long amino acid sequence located at the N-terminus of M19 that targets the protein to mitochondria. Furthermore, using RNA interference and over-expression strategies, we demonstrate that M19 modulates mitochondrial oxygen consumption and ATP production, and could therefore regulate the respiratory chain activity. In an effort to determine whether M19 could play a role in the regulation of various cell activities, we show that this nucleoid protein, probably through its modulation of mitochondrial ATP production, acts on late muscle differentiation in myogenic C2C12 cells, and plays a permissive role on insulin secretion under basal glucose conditions in INS-1 pancreatic β-cells. Our results are therefore establishing a functional link between a mitochondrial nucleoid protein and the modulation of respiratory chain activities leading to the regulation of major cellular processes such as myogenesis and insulin secretion.

A multivariate prediction model for Rho-dependent termination of transcription

Abstract Bacterial transcription termination proceeds via two main mechanisms triggered either by simple, well-conserved (intrinsic) nucleic acid motifs or by the motor protein Rho. Although bacterial genomes can harbor hundreds of termination signals of either type, only intrinsic terminators are reliably predicted. Computational tools to detect the more complex and diversiform Rho-dependent terminators are lacking. To tackle this issue, we devised a prediction method based on Orthogonal Projections to Latent Structures Discriminant Analysis [OPLS-DA] of a large set of in vitro termination data. Using previously uncharacterized genomic sequences for biochemical evaluation and OPLS-DA, we identified new Rho-dependent signals and quantitative sequence descriptors with significant predictive value. Most relevant descriptors specify features of transcript C>G skewness, secondary structure, and richness in regularly-spaced 5′CC/UC dinucleotides that are consistent with known principles for Rho-RNA interaction. Descriptors collectively warrant OPLS-DA predictions of Rho-dependent termination with a ∼85% success rate. Scanning of the Escherichia coli genome with the OPLS-DA model identifies significantly more termination-competent regions than anticipated from transcriptomics and predicts that regions intrinsically refractory to Rho are primarily located in open reading frames. Altogether, this work delineates features important for Rho activity and describes the first method able to predict Rho-dependent terminators in bacterial genomes.