Gene Expression Profiling of Desmoid Tumors by cDNA Microarrays and Correlation with Progression-Free Survival.

PURPOSE: Because desmoid tumors exhibit an unpredictable clinical course, translational research is crucial to identify the predictive factors of progression in addition to the clinical parameters. The main issue is to detect patients who are at a higher risk of progression. The aim of this work was to identify molecular markers that can predict progression-free survival (PFS). EXPERIMENTAL DESIGN: Gene-expression screening was conducted on 115 available independent untreated primary desmoid tumors using cDNA microarray. We established a prognostic gene-expression signature composed of 36 genes. To test robustness, we randomly generated 1,000 36-gene signatures and compared their outcome association to our define 36-genes molecular signature and we calculated positive predictive value (PPV) and negative predictive value (NPV). RESULTS: Multivariate analysis showed that our molecular signature had a significant impact on PFS while no clinical factor had any prognostic value. Among the 1,000 random signatures generated, 56.7% were significant and none was more significant than our 36-gene molecular signature. PPV and NPV were high (75.58% and 81.82%, respectively). Finally, the top two genes downregulated in no-recurrence were FECH and STOML2 and the top gene upregulated in no-recurrence was TRIP6. CONCLUSIONS: By analyzing expression profiles, we have identified a gene-expression signature that is able to predict PFS. This tool may be useful for prospective clinical studies. Clin Cancer Res; 21(18); 4194-200. ©2015 AACR.

Studying the molecular causes of ageing in ants

RÉSUMÉ DE THÈSE Au cours de ma thèse, je me suis intéressée aux causes physiologiques du vieillissement en utilisant les fourmis comme modèle. Les trois castes de fourmis - les mâles, les ouvrières et les reines - présentent des longévités très différentes, tout en étant génétiquement identiques. Ceci implique que les différences de longévité sont dues à des variations entre castes dans le pattern d'expression de gènes. Mon travail chez la fourmi a consisté d'une part à mettre en place les outils pour identifier de tels gènes à grande échelle, de l'autre à étudier le rôle de gènes et de mécanismes qui affectent la longévité chez d'autres espèces. Pour identifier de nouveaux gènes potentiellement impliqués dans le vieillissement, nous avons développé des puces à ADN. Cette technique permet la comparaison du niveau d'expression de milliers de gènes entre deux échantillons. L'application de cette méthode aux reines et ouvrières adultes nous a jusqu'à présent permis d'identifier neuf gènes surexprimés chez les reines. Trois d'entre eux sont potentiellement impliqués dans le maintien et la réparation du soma, deux processus qui sont supposés avoir un impact crucial sur la longévité. Parmi les mécanismes impliqués dans le vieillissement chez d'autres espèces, nous nous sommes principalement intéressés aux télomères, qui sont les extrémités des chromosomes. Chez les vertébrés, les télomères se raccourcissent à chaque division cellulaire, entre autres parce que l'ADN polymérase ne peut répliquer cette partie des chromosomes en entier. Or des télomères courts entravent la prolifération des cellules et peuvent même induire l'apoptose, ce qui pourrait se répercuter sur la capacité des organismes à régénérer des tissus. J'ai pu montrer que chez les fourmis mâles (la caste qui vit le moins longtemps) les télomères se raccourcissent beaucoup plus vite que chez les reines et les ouvrières. L'explication la plus plausible pour cette différence est que les mâles, étant adapté à une vie très éphémère, n'investissent qu'un minimum d'énergie dans la machinerie de maintenance qui assure le bon fonctionnement des cellules. Ces résultats sont intéressants car ils permettent pour la première fois de faire le lien entre les théories évolutives du vieillissement et la biologie des télomères. THESIS ABSTRACT During my thesis I used ants as a model to study the proximate (i.e., molecular) causes of ageing and lifespan determination. Ant queens, workers and males differ tremendously in lifespan, although all three castes are genetically identical. Importantly, this implies that genes and molecular pathways responsible for modulating lifespan are regulated in a caste-specific manner. To find new genes potentially involved in ageing, we first constructed 371-gene-cDNA microarrays for the ant L. niger. This molecular tool can be used to survey the relative gene expression levels of two samples for thousands of genes simultaneously. By applying this method to adult queens and workers we identified nine genes that are overexpressed in queens. Three of them are putatively involved in somatic maintenance and repair, two processes that have been previously suggested as important for ageing and lifespan determination. We expect to identify many more candidate genes in the near future by using the 9000-gene fire ant microarrays we have recently developed. We also investigated whether factors linked to ageing in other organisms could affect lifespan determination in ants. One project was on telomeres, the ends of linear chromosomes. For various reasons telomeres shorten with every cell division. Since short telomeres can lead to cellular defects such as impaired cell division, telomeres have been hypothesized as playing a role in ageing. We tested whether telomere length in ant somatic tissues correlates with caste-specific lifespan in young adults. The short-lived L. niger mates did indeed have significantly shorter telomeres than the longer-lived queens and workers, probably because telomere attrition is faster in males than in queens and workers. Queens did not, however, have longer telomeres than the shorter-lived workers. These findings are consistent with the idea that telomere length may play a role in ageing under some circumstances, but they also clearly demonstrate that other factors must be involved. We argue that sex-specific telomere length patterns in ants ultimately reflect adaptive differences in the level of somatic maintenance between males and females, and thus create a link between telomere biology and the evolutionary theory of ageing.

DNA microarrays and plant defence

Recent progress in understanding plant defence has highlighted a complex, interacting network of signalling pathways leading to the induction of numerous genes. The advent of new technologies for the global analysis of gene expression is fundamentally affecting research in biology, and studies on plant defence should benefit from these new approaches. Genome-wide microarrays will provide a powerful tool for the discovery of all defence-related genes and should help in elucidating their function. The association of a particular signalling pathway with a defence response can be tested with microarrays and defined mutants. Comparison of transcript profiles after biotic and abiotic stresses reveals overlapping activation of defence-related genes and defines new concepts on how plants cope with multiple aggressions. The combination of expression data with other biochemical or metabolite measurements seems another promising approach. Finally, small-scale, dedicated microarrays containing sets of well-characterised genes might prove to be a very useful complement to more expensive, less accessible, large-scale arrays.

Integrative analysis of RUNX1 downstream pathways and target genes.

BACKGROUND: The RUNX1 transcription factor gene is frequently mutated in sporadic myeloid and lymphoid leukemia through translocation, point mutation or amplification. It is also responsible for a familial platelet disorder with predisposition to acute myeloid leukemia (FPD-AML). The disruption of the largely unknown biological pathways controlled by RUNX1 is likely to be responsible for the development of leukemia. We have used multiple microarray platforms and bioinformatic techniques to help identify these biological pathways to aid in the understanding of why RUNX1 mutations lead to leukemia. RESULTS: Here we report genes regulated either directly or indirectly by RUNX1 based on the study of gene expression profiles generated from 3 different human and mouse platforms. The platforms used were global gene expression profiling of: 1) cell lines with RUNX1 mutations from FPD-AML patients, 2) over-expression of RUNX1 and CBFbeta, and 3) Runx1 knockout mouse embryos using either cDNA or Affymetrix microarrays. We observe that our datasets (lists of differentially expressed genes) significantly correlate with published microarray data from sporadic AML patients with mutations in either RUNX1 or its cofactor, CBFbeta. A number of biological processes were identified among the differentially expressed genes and functional assays suggest that heterozygous RUNX1 point mutations in patients with FPD-AML impair cell proliferation, microtubule dynamics and possibly genetic stability. In addition, analysis of the regulatory regions of the differentially expressed genes has for the first time systematically identified numerous potential novel RUNX1 target genes. CONCLUSION: This work is the first large-scale study attempting to identify the genetic networks regulated by RUNX1, a master regulator in the development of the hematopoietic system and leukemia. The biological pathways and target genes controlled by RUNX1 will have considerable importance in disease progression in both familial and sporadic leukemia as well as therapeutic implications

Isolation from mouse fibroblasts of a cDNA encoding a new form of the fibroblast growth factor receptor (flg).

Structural definition of the receptors for neurotropic and angiogenic modulators such as fibroblast growth factors and related polypeptides will yield insight into the mechanisms that control early development, embryogenesis, organogenesis, wound repair and neovessel formation. We isolated 3 murine cDNAs encoding different binding domains of these receptors (flg). Comparison of these ectoplasmic portions showed that two of the forms corresponded to previously described murine molecules whereas the third one had a different ectoplasmic portion generated by specific changes in two regions. Interestingly, expression of this third form seems to be restricted in its tissue distribution. Such modifications could influence the ligand specificity of the different receptors and/or their binding affinity.

Cloning of a cDNA encoding a plasma membrane-associated, uronide binding phosphoprotein with physical properties similar to viral movement proteins.

Oligogalacturonides are structural and regulatory homopolymers from the extracellular pectic matrix of plants. In vitro micromolar concentrations of oligogalacturonates and polygalacturonates were shown previously to stimulate the phosphorylation of a small plasma membrane-associated protein in potato. Immunologically cross-reactive proteins were detected in plasma membrane-enriched fractions from all angiosperm subclasses in the Cronquist system. Polygalacturonate-enhanced phosphorylation of the protein was observed in four of the six dicotyledon subclasses but not in any of the five monocotyledon subclasses. A cDNA for the protein was cloned from potato. The deduced protein is extremely hydrophilic and has a proline-rich N terminus. The C-terminal half of the protein was predicted to be a coiled coil, suggesting that the protein interacts with other macromolecules. The recombinant protein was found to bind both simple and complex galacturonides. The behavior of the protein suggests several parallels with viral proteins involved in intercellular communication.

A comparison of methods for differential expression analysis of RNA-seq data.

BACKGROUND: Finding genes that are differentially expressed between conditions is an integral part of understanding the molecular basis of phenotypic variation. In the past decades, DNA microarrays have been used extensively to quantify the abundance of mRNA corresponding to different genes, and more recently high-throughput sequencing of cDNA (RNA-seq) has emerged as a powerful competitor. As the cost of sequencing decreases, it is conceivable that the use of RNA-seq for differential expression analysis will increase rapidly. To exploit the possibilities and address the challenges posed by this relatively new type of data, a number of software packages have been developed especially for differential expression analysis of RNA-seq data. RESULTS: We conducted an extensive comparison of eleven methods for differential expression analysis of RNA-seq data. All methods are freely available within the R framework and take as input a matrix of counts, i.e. the number of reads mapping to each genomic feature of interest in each of a number of samples. We evaluate the methods based on both simulated data and real RNA-seq data. CONCLUSIONS: Very small sample sizes, which are still common in RNA-seq experiments, impose problems for all evaluated methods and any results obtained under such conditions should be interpreted with caution. For larger sample sizes, the methods combining a variance-stabilizing transformation with the 'limma' method for differential expression analysis perform well under many different conditions, as does the nonparametric SAMseq method.

Rpe65 microarrays, from genes to phosphorylated proteins

Purpose:To describe a novel in silico method to gather and analyze data from high-throughput heterogeneous experimental procedures, i.e. gene and protein expression arrays. Methods:Each microarray is assigned to a database which handles common data (names, symbols, antibody codes, probe IDs, etc.). Links between informations are automatically generated from knowledge obtained in freely accessible databases (NCBI, Swissprot, etc). Requests can be made from any point of entry and the displayed result is fully customizable. Results:The initial database has been loaded with two sets of data: a first set of data originating from an Affymetrix-based retinal profiling performed in an RPE65 knock-out mouse model of Leber's congenital amaurosis. A second set of data generated from a Kinexus microarray experiment done on the retinas from the same mouse model has been added. Queries display wild type versus knock out expressions at several time points for both genes and proteins. Conclusions:This freely accessible database allows for easy consultation of data and facilitates data mining by integrating experimental data and biological pathways.

Protein-binding microarrays: probing disease markers at the interface of proteomics and genomics.

DNA-binding proteins mediate a variety of crucial molecular functions, such as transcriptional regulation and chromosome maintenance, replication and repair, which in turn control cell division and differentiation. The roles of these proteins in disease are currently being investigated using microarray-based approaches. However, these assays can be difficult to adapt to routine diagnosis of complex diseases such as cancer. Here, we review promising alternative approaches involving protein-binding microarrays (PBMs) that probe the interaction of proteins from crude cell or tissue extracts with large collections of synthetic or natural DNA sequences. Recent studies have demonstrated the use of these novel PBM approaches to provide rapid and unbiased characterization of DNA-binding proteins as molecular markers of disease, for example cancer progression or infectious diseases.

Concordance among digital gene expression, microarrays, and qPCR when measuring differential expression of microRNAs.

Profiling microRNA (miRNA) expression is of widespread interest given the critical role of miRNAs in many cellular functions. Profiling can be achieved via hybridization-based (microarrays), sequencing-based, or amplification-based (quantitative reverse transcription-PCR, qPCR) technologies. Among these, microarrays face the significant challenge of accurately distinguishing between mature and immature miRNA forms, and different vendors have developed different methods to meet this challenge. Here we measure differential miRNA expression using the Affymetrix, Agilent, and Illumina microarray platforms, as well as qPCR (Applied Biosystems) and ultra high-throughput sequencing (Illumina). We show that the differential expression measurements are more divergent when the three types of microarrays are compared than when the Agilent microarray, qPCR, and sequencing technology measurements are compared, which exhibit a good overall concordance.

cDNA cloning and mapping of a novel islet-brain/JNK-interacting protein.

IB1/JIP-1 is a scaffold protein that regulates the c-Jun NH(2)-terminal kinase (JNK) signaling pathway, which is activated by environmental stresses and/or by treatment with proinflammatory cytokines including IL-1beta and TNF-alpha. The JNKs play an essential role in many biological processes, including the maturation and differentiation of immune cells and the apoptosis of cell targets of the immune system. IB1 is expressed predominantly in brain and pancreatic beta-cells where it protects cells from proapoptotic programs. Recently, a mutation in the amino-terminus of IB1 was associated with diabetes. A novel isoform, IB2, was cloned and characterized. Overall, both IB1 and IB2 proteins share a very similar organization, with a JNK-binding domain, a Src homology 3 domain, a phosphotyrosine-interacting domain, and polyacidic and polyproline stretches located at similar positions. The IB2 gene (HGMW-approved symbol MAPK8IP2) maps to human chromosome 22q13 and contains 10 coding exons. Northern and RT-PCR analyses indicate that IB2 is expressed in brain and in pancreatic cells, including insulin-secreting cells. IB2 interacts with both JNK and the JNK-kinase MKK7. In addition, ectopic expression of the JNK-binding domain of IB2 decreases IL-1beta-induced pancreatic beta-cell death. These data establish IB2 as a novel scaffold protein that regulates the JNK signaling pathway in brain and pancreatic beta-cells and indicate that IB2 represents a novel candidate gene for diabetes.

Recovery of a persistent Canine distemper virus expressing the enhanced green fluorescent protein from cloned cDNA.

Wild-type A75/17-Canine distemper virus (CDV) is a highly virulent strain, which induces a persistent infection in the central nervous system (CNS) with demyelinating disease. Wild-type A75/17-CDV, which is unable to replicate in cell lines to detectable levels, was adapted to grow in Vero cells and was designated A75/17-V. Sequence comparison between the two genomes revealed seven nucleotide differences located in the phosphoprotein (P), the matrix (M) and the large (L) genes. The P gene is polycistronic and encodes two auxiliary proteins, V and C, besides the P protein. The mutations resulted in amino acid changes in the P and V, but not in the C protein, as well as in the M and L proteins. Here, a rescue system was developed for the A75/17-V strain, which was shown to be attenuated in vivo, but retains a persistent infection phenotype in Vero cells. In order to track the recombinant virus, an additional transcription unit coding for the enhanced green fluorescent protein (eGFP) was inserted at the 3' proximal position in the A75/17-V cDNA clone. Reverse genetics technology will allow us to characterize the genetic determinants of A75/17-V CDV persistent infection in cell culture.

Glyoxysomal malate-dehydrogenase and malate synthase from Soybean cotyledons (Glycine max. L.): Enzyme association, antibody-production and cDNA cloning

In order to investigate a possible association between soybean malate synthase (MS; L-malate glyoxylate-lyase, CoA-acetylating, EC 4.1.3.2) and glyoxysomal malate dehydrogenase (gMDH; (S)-malate: NAD(+) oxidoreductase, EC 1.1.1.37), two consecutive enzymes in the glyoxylate cycle, their elution profiles were analyzed on Superdex 200 HR fast protein liquid chromatography columns equilibrated in low- and high-ionic-strength buffers. Starting with soluble proteins extracted from the cotyledons of 5-d-old soybean seedlings and a 45% ammonium sulfate precipitation, MS and gMDH coeluted on Superdex 200 HR (low-ionic-strength buffer) as a complex with an approximate relative molecular mass (M(r)) of 670000. Dissociation was achieved in the presence of 50 mM KCl and 5 mM MgCl2, with the elution of MS as an octamer of M, 510 000 and of gMDH as a dimer of M, 73 000. Polyclonal antibodies raised to the native copurified enzymes recognized both denatured MS and gMDH on immunoblots, and their native forms after gel filtration. When these antibodies were used to screen a lambda ZAP II expression library containing cDNA from 3-d-old soybean cotyledons, they identified seven clones encoding gMDH, whereas ten clones encoding MS were identified using an antibody to SDS-PAGE-purified MS. Of these cDNA clones a 1.8 kb clone for MS and a 1.3-kb clone for gMDH were fully sequenced. While 88% identity was found between mature soybean gMDH and watermelon gMDH, the N-terminal transit peptides showed only 37% identity. Despite this low identity, the soybean gMDH transit peptide conserves the consensus R(X(6))HL motif also found in plant and mammalian thiolases.