Monitoring of malaria parasite resistance to chloroquine and sulphadoxine-pyrimethamine in the Solomon Islands by DNA microarray technology.

BACKGROUND: Little information is available on resistance to anti-malarial drugs in the Solomon Islands (SI). The analysis of single nucleotide polymorphisms (SNPs) in drug resistance associated parasite genes is a potential alternative to classical time- and resource-consuming in vivo studies to monitor drug resistance. Mutations in pfmdr1 and pfcrt were shown to indicate chloroquine (CQ) resistance, mutations in pfdhfr and pfdhps indicate sulphadoxine-pyrimethamine (SP) resistance, and mutations in pfATPase6 indicate resistance to artemisinin derivatives. METHODS: The relationship between the rate of treatment failure among 25 symptomatic Plasmodium falciparum-infected patients presenting at the clinic and the pattern of resistance-associated SNPs in P. falciparum infecting 76 asymptomatic individuals from the surrounding population was investigated. The study was conducted in the SI in 2004. Patients presenting at a local clinic with microscopically confirmed P. falciparum malaria were recruited and treated with CQ+SP. Rates of treatment failure were estimated during a 28-day follow-up period. In parallel, a DNA microarray technology was used to analyse mutations associated with CQ, SP, and artemisinin derivative resistance among samples from the asymptomatic community. Mutation and haplotype frequencies were determined, as well as the multiplicity of infection. RESULTS: The in vivo study showed an efficacy of 88% for CQ+SP to treat P. falciparum infections. DNA microarray analyses indicated a low diversity in the parasite population with one major haplotype present in 98.7% of the cases. It was composed of fixed mutations at position 86 in pfmdr1, positions 72, 75, 76, 220, 326 and 356 in pfcrt, and positions 59 and 108 in pfdhfr. No mutation was observed in pfdhps or in pfATPase6. The mean multiplicity of infection was 1.39. CONCLUSION: This work provides the first insight into drug resistance markers of P. falciparum in the SI. The obtained results indicated the presence of a very homogenous P. falciparum population circulating in the community. Although CQ+SP could still clear most infections, seven fixed mutations associated with CQ resistance and two fixed mutations related to SP resistance were observed. Whether the absence of mutations in pfATPase6 indicates the efficacy of artemisinin derivatives remains to be proven.

Tissue microarray and immunohistochemistry as tools for evaluation of antibodies against Chlamydia-like bacteria.

Tissue microarray technology was used to establish immunohistochemistry protocols and to determine the specificity of new antisera against various Chlamydia-like bacteria for future use on formalin-fixed and paraffin-embedded tissues. The antisera exhibited strong reactivity against autologous antigen and closely related heterologous antigen, but no cross-reactivity with distantly related species.

A microarray-based system for the simultaneous analysis of single nucleotide polymorphisms in human genes involved in the metabolism of anti-malarial drugs

Background: In order to provide a cost-effective tool to analyse pharmacogenetic markers in malaria treatment, DNA microarray technology was compared with sequencing of polymerase chain reaction (PCR) fragments to detect single nucleotide polymorphisms (SNPs) in a larger number of samples. Methods: The microarray was developed to affordably generate SNP data of genes encoding the human cytochrome P450 enzyme family (CYP) and N-acetyltransferase-2 (NAT2) involved in antimalarial drug metabolisms and with known polymorphisms, i.e. CYP2A6, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, and NAT2. Results: For some SNPs, i.e. CYP2A6*2, CYP2B6*5, CYP2C8*3, CYP2C9*3/*5, CYP2C19*3, CYP2D6*4 and NAT2*6/*7/*14, agreement between both techniques ranged from substantial to almost perfect (kappa index between 0.61 and 1.00), whilst for other SNPs a large variability from slight to substantial agreement (kappa index between 0.39 and 1.00) was found, e. g. CYP2D6*17 (2850C>T), CYP3A4*1B and CYP3A5*3. Conclusion: The major limit of the microarray technology for this purpose was lack of robustness and with a large number of missing data or with incorrect specificity.

Gene expression databases and data mining.

The DNA microarray technology has arguably caught the attention of the worldwide life science community and is now systematically supporting major discoveries in many fields of study. The majority of the initial technical challenges of conducting experiments are being resolved, only to be replaced with new informatics hurdles, including statistical analysis, data visualization, interpretation, and storage. Two systems of databases, one containing expression data and one containing annotation data are quickly becoming essential knowledge repositories of the research community. This present paper surveys several databases, which are considered "pillars" of research and important nodes in the network. This paper focuses on a generalized workflow scheme typical for microarray experiments using two examples related to cancer research. The workflow is used to reference appropriate databases and tools for each step in the process of array experimentation. Additionally, benefits and drawbacks of current array databases are addressed, and suggestions are made for their improvement.

Identification of prognostic molecular features in the reactive stroma of human breast and prostate cancer.

Primary tumor growth induces host tissue responses that are believed to support and promote tumor progression. Identification of the molecular characteristics of the tumor microenvironment and elucidation of its crosstalk with tumor cells may therefore be crucial for improving our understanding of the processes implicated in cancer progression, identifying potential therapeutic targets, and uncovering stromal gene expression signatures that may predict clinical outcome. A key issue to resolve, therefore, is whether the stromal response to tumor growth is largely a generic phenomenon, irrespective of the tumor type or whether the response reflects tumor-specific properties. To address similarity or distinction of stromal gene expression changes during cancer progression, oligonucleotide-based Affymetrix microarray technology was used to compare the transcriptomes of laser-microdissected stromal cells derived from invasive human breast and prostate carcinoma. Invasive breast and prostate cancer-associated stroma was observed to display distinct transcriptomes, with a limited number of shared genes. Interestingly, both breast and prostate tumor-specific dysregulated stromal genes were observed to cluster breast and prostate cancer patients, respectively, into two distinct groups with statistically different clinical outcomes. By contrast, a gene signature that was common to the reactive stroma of both tumor types did not have survival predictive value. Univariate Cox analysis identified genes whose expression level was most strongly associated with patient survival. Taken together, these observations suggest that the tumor microenvironment displays distinct features according to the tumor type that provides survival-predictive value.

Establishment of the epithelial-specific transcriptome of normal and malignant human breast cells based on MPSS and array expression data.

INTRODUCTION: Diverse microarray and sequencing technologies have been widely used to characterise the molecular changes in malignant epithelial cells in breast cancers. Such gene expression studies to identify markers and targets in tumour cells are, however, compromised by the cellular heterogeneity of solid breast tumours and by the lack of appropriate counterparts representing normal breast epithelial cells. METHODS: Malignant neoplastic epithelial cells from primary breast cancers and luminal and myoepithelial cells isolated from normal human breast tissue were isolated by immunomagnetic separation methods. Pools of RNA from highly enriched preparations of these cell types were subjected to expression profiling using massively parallel signature sequencing (MPSS) and four different genome wide microarray platforms. Functional related transcripts of the differential tumour epithelial transcriptome were used for gene set enrichment analysis to identify enrichment of luminal and myoepithelial type genes. Clinical pathological validation of a small number of genes was performed on tissue microarrays. RESULTS: MPSS identified 6,553 differentially expressed genes between the pool of normal luminal cells and that of primary tumours substantially enriched for epithelial cells, of which 98% were represented and 60% were confirmed by microarray profiling. Significant expression level changes between these two samples detected only by microarray technology were shown by 4,149 transcripts, resulting in a combined differential tumour epithelial transcriptome of 8,051 genes. Microarray gene signatures identified a comprehensive list of 907 and 955 transcripts whose expression differed between luminal epithelial cells and myoepithelial cells, respectively. Functional annotation and gene set enrichment analysis highlighted a group of genes related to skeletal development that were associated with the myoepithelial/basal cells and upregulated in the tumour sample. One of the most highly overexpressed genes in this category, that encoding periostin, was analysed immunohistochemically on breast cancer tissue microarrays and its expression in neoplastic cells correlated with poor outcome in a cohort of poor prognosis estrogen receptor-positive tumours. CONCLUSION: Using highly enriched cell populations in combination with multiplatform gene expression profiling studies, a comprehensive analysis of molecular changes between the normal and malignant breast tissue was established. This study provides a basis for the identification of novel and potentially important targets for diagnosis, prognosis and therapy in breast cancer.

The role of AUF1 in AU-rich interleukin-6 mRNA regulation

Abstract: The AU-rich elements (AREs) consisting of repeated AUUUA motifs confer rapid degradation to many cellular mRNAs when present in the 3' untranslated region (3'UTR). We have studied the instability of interleukin-6 mRNA by grafting its 3' untranslated region to a stable green fluorescent protein mRNA. Subsequent scanning mutagenesis identified two conserved elements, which taken together account for most of the instability. The first corresponds to a short non-canonical AU-rich element. The other comprises a sequence predicted to form astern-loop structure. Both elements need to be present in order to confer full instability (Paschoud et al. 2006). Destabilization of ARE-containing mRNAs is thought to involve ARE-binding proteins such as AUF1. We tested whether AUF1 binding to interleukin-6 mRNA correlates with decreased mRNA stability. Overexpression of myc-tagged p37AUFl and p42AUF1 as well as suppression of all four AUF1 isoforms by RNA interference stabilized the interleukin-6 mRNA. Furthermore, the interleukin-6 mRNA co-immunoprecipitated specifically with myc-tagged p37AUF1 and p42AUF1 in cell extracts. Both the stabilization and AUF1-binding required the non-canonical AU-rich sequence. These results indicate that AUF1 binds to the AU-rich element in vivo and promotes interleukin6 mRNA degradation. The combination of mRNA co-immunoprecipitation with microarray technology revealed that at least 500 cellular mRNAs associate with AUF1. Résumé: "La présence d'éléments riches en A et U (ARE), en particulier les motifs répétés d'AUUUA dans la région 3' non traduite, confère une dégradation rapide à beaucoup d'ARN cellulaires. Nous avons étudié l'instabilité de l'ARN codant pour l'interleukine 6 en greffant sa région 3' non traduite à un ARN stable codant pour la protéine fluorescente verte. La mutagenèse systématique des séquences non traduites a permis l'identification de deux éléments conservés qui confèrent l'instabilité à l'ARN. Le premier correspond à un élément AU-riche non canonique court. Le second comporte une structure en 'épingle à cheveux'. Tous les deux éléments doivent être présents afin de conférer une instabilité complète (Paschoud et al. 2006). On pense que des protéines telles que AUF1, pouvant se lier aux éléments ARE, sont impliquées dans la dégradation des ARN messagers. Nous avons examiné si la liaison de AUFl sur l'ARN de l'interleukine 6 corrèle avec une stabilité diminuée. La surexpression des protéines p37AUF1 et de p42AUF1 myc-étiquetées ainsi que la suppression de chacun des quatre isoformes de AUF1 par interférence d'ARN a stabilisé l'ARN messager d'interleukine 6. En outre, cet ARN co-immunoprécipite spécifiquement avec p37AUF1 et p42AUF1 dans des extraits cellulaires. La présence de l'élément AUriche non canonique est nécessaire pour la stabilisation de l'ARN et sa liaison avec AUFI. Ces résultats indiquent qu'AUF1 se lie à l'élément AU-riche in vivo et favorise la dégradation de l'ARN messager d'interleukine 6. La combinaison des techniques de coimmunoprécipitation des ARN messagers et des analyses par `microarray' indique qu'au moins 500 ARN cellulaires s'associent à AUF1.

Tumor-host interactions Part 1: Stromal signatures of breast and prostate cancer Part 2: GLG1 and the control of the secretory pathway in tumor cells

Tumor-host interaction is a key determinant during cancer progression, from primary tumor growth to metastatic dissemination. At each step, tumor cells have to adapt to and subvert different types of microenvironment, leading to major phenotypic and genotypic alterations that affect both tumor and surrounding stromal compartments. Understanding the molecular mechanisms that govern tumor-host interplay may be essential for better comprehension of tumorigenesis in an effort to improve current anti-cancer therapies. The present work is composed of two projects that address tumor-host interactions from two different perspectives, the first focusing on the characterization of tumor-associated stroma and the second on membrane trafficking in tumor cells. Part 1. To selectively address stromal gene expression changes during cancer progression, oligonucleotide-based Affymetrix microarray technology was used to analyze the transcriptomes of laser-microdissected stromal cells derived from invasive human breast and prostate carcinoma. Comparison showed that invasive breast and prostate cancer elicit distinct, tumor-specific stromal responses, with a limited panel of shared induced and/or repressed genes. Both breast and prostate tumor-specific deregulated stromal gene sets displayed statistically significant survival-predictive ability for their respective tumor type. By contrast, a stromal gene signature common to both tumor types did not display prognostic value, although expression of two individual genes within this common signature was found to be associated with patient survival. Part 2. GLG1 is known as an E-selectin ligand and an intracellular FGF receptor, depending on cell type and context. Immunohistochemical and immunofluorescence analyses showed that GLG1 is primarily localized in the Golgi of human tumor cells, a central location in the biosynthetic/secretory pathways. GLG1 has been shown to interact with and to recruit the ARF GEF BIGI to the Golgi membrane. Depletion of GLG1 or BIGI markedly reduced ARF3 membrane localization and activation, and altered the Golgi structure. Interestingly, these perturbations did not impair constitutive secretion in general, but rather seemed to impair secretion of a specific subset of proteins that includes MMP-9. Thus, GLG1 coordinates ARF3 activation by recruiting BIGI to the Golgi membrane, thereby affecting secretion of specific molecules. - Les interactions tumeur-hôte constituent un élément essentiel à la progression tumorale, de la croissance de la tumeur primaire à la dissémination des métastases. A chaque étape, les cellules tumorales doivent s'adapter à différents types de microenvironnement et les détourner à leur propre avantage, donnant lieu à des altérations phénotypiques et génotypiques majeures qui affectent aussi bien la tumeur elle-même que le compartiment stromal environnant. L'étude des mécanismes moléculaires qui régissent les interactions tumeur-hôte constitue une étape essentielle pour une meilleure compréhension du processus de tumorigenèse dans le but d'améliorer les thérapies anti cancer existantes. Le travail présenté ici est composé de deux projets qui abordent la problématique des interactions tumeur-hôte selon différentes perspectives, le premier se concentrant sur la caractérisation du stroma tumoral et le second sur le trafic intracellulaire des cellules tumorales. Partie 1. Pour examiner les changements d'expression des gènes dans le stroma en réponse à la progression du cancer, des puces à ADN Affymetrix ont été utilisées afin d'analyser les transcriptomes des cellules stromales issues de carcinomes invasifs du sein et de la prostate et collectées par microdissection au laser. L'analyse comparative a montré que les cancers invasifs du sein et de la prostate provoquent des réponses stromales spécifiques à chaque type de tumeur, et présentent peu de gènes induits ou réprimés de façon similaire. L'ensemble des gènes dérégulés dans le stroma associé au cancer du sein, ou à celui de la prostate, présente une valeur pronostique pour les patients atteints d'un cancer du sein, respectivement de la prostate. En revanche, la signature stromale commune aux deux types de cancer n'a aucune valeur prédictive, malgré le fait que l'expression de deux gènes présents dans cette liste soit liée à la survie des patients. Partie 2. GLG1 est connu comme un ligand des sélectines E ainsi que comme récepteur intracellulaire pour des facteurs de croissances FGFs selon le type de cellule dans lequel il est exprimé. Des analyses immunohistochimiques et d'immunofluorescence ont montré que dans les cellules tumorales, GLG1 est principalement localisé au niveau de l'appareil de Golgi, une place centrale dans la voie biosynthétique et sécrétoire. Nous avons montré que GLG1 interagit avec la protéine BIGI et participe à son recrutement à la membrane du Golgi. L'absence de GLG1 ou de BIGI réduit drastiquement le pool d'ARF3 associé aux membranes ainsi que la quantité d'ARF3 activés, et modifie la structure de l'appareil de Golgi. Il est particulièrement intéressant de constater que ces perturbations n'ont pas d'effet sur la sécrétion constitutive en général, mais semblent plutôt affecter la sécrétion spécifique d'un sous-groupe défini de protéines comprenant MMP-9. GLG1 coordonne donc l'activation de ARF3 en recrutant BIGI à la membrane du Golgi, agissant par ce moyen sur la sécrétion de molécules spécifiques.

De novo T cell generation and cell cycle analysis of CD4 and CD8 T cells during HIV-disease

RESUME POUR UN LARGE PUBLIC Parmi les globules blancs, les lymphocytes T 004 jouent un rôle primordial dans la coordination de la réponse immunitaire contre les pathogènes et les lymphocytes T CD8 dans leur élimination. Lors d'une infection par le virus de l'immunodéficience humaine (VIH-1), non seulement les cellules T CD4 sont les principales cibles d'infections, mais aussi elles disparaissent progressivement tout au long de la maladie. Ce phénomène, appelé aussi épuisement des lymphocytes T CD4, est la principale cause provoquant le Syndrome d'Immunodéficience Acquise (SIDA). Malgré de grands efforts de recherche, nous ne sommes toujours pas en mesure de dire si ce phénomène est dû à un défaut dans la production de nouvelles cellules ou à une destruction massive de cellules en circulation. Dans cette étude, nous nous proposions, dans un premier temps, de comparer la production de nouvelles cellules T CD4 et CD8 chez des individus VIH-négatifs et positifs. Les cellules nouvellement produites portent un marqueur commun que l'on appelle TREC et qui est facilement mesurable. En considérant des paramètres cliniques, nous étions en mesure de déterminer le niveau de TRECs de cellules T CD4 et CD8 dans différentes phases de la maladie. De là, nous avons pu déterminer que le niveau de TREC est toujours plus bas dans les cellules T CD8 de patients VIH-positifs comparativement à notre groupe contrôle. Nous avons pu déterminer par une analyse ultérieure que cette différence est due à une forte prolifération de ces cellules chez les patients VIH-positifs, ce qui a pour effet de diluer ce marqueur. En revanche, la production de nouvelles cellules T CD4 chez des patients VIH-positifs est accentuée lors de la phase précoce de la maladie et largement réprimée lors de la phase tardive. Dans un second temps, nous avons effectué une analyse à grande échelle de l'expression de gènes associés à la division cellulaire sur des lymphocytes T CD4 et CD8 d'individus VIH-¬positifs et négatifs, avec comme contrôle des cellules proliférant in vitro. De cette étude, nous avons pu conclure que les cellules T CD8 de patients VIH-positifs étaient en état de prolifération, alors que les lymphocytes T CD4 présentaient des défauts majeurs conduisant à un arrêt de la division cellulaire. Nos résultats montrent que la capacité à produire de nouvelles cellules chez des patients VIH¬positifs reste active longtemps pendant la maladie, mais que l'incapacité des cellules T CD4 à proliférer peut enrayer la reconstitution immunitaire chez ces individus. ABSTRACT The hallmark of HIV-1 infection is the depletion of CD4 T cells. Despite extensive investigation, the mechanisms responsible for the loss of CD4 T cells have been elucidated only partially. In particular, it remains controversial whether CD4 T cell depletion results from a defect in T cell production or from a massive peripheral destruction. In this study, de novo T cell generation has been investigated by measuring T cell receptor rearrangement excision circles (TRECs) on large cohorts of HIV-negative (N=120) and HIV-1 infected (N=298) individuals. Analysis of TREC levels was performed in HIV-infected subjects stratified by the stage of HIV disease based on CD4 T cell counts (early: >500 CD4 T cells/µl; intermediate: <500>200; late: <200) and by age (20 to 60 years, n = 259). Our data show that TREC levels in CD8 T cells were significantly lower in HIV-infected subjects at any stage of disease compared to the control group. In contrast, TREC levels in CD4 T cells were significantly higher in HIV-infected subjects at early stages disease while no significant differences were observed at intermediate stages of the disease and were severely reduced only at late stages of disease. To investigate further the status of cell cycle in peripheral CD4 and CD8 T cells in HIV-1 infections, we determined the pattern of gene expression with the microarray technology. In particular, CD4 and CD8 T cells of HIV-1 infected and HIV-negative subjects were analysed by Cell Cycle cDNA expression array. The patterns of gene expression were compared to in vitro stimulated CD4 and CD8 T cells and this analysis showed that CD8 T cells of HIV-1 infected subjects had a pattern of gene expression very similar to that of in vitro stimulated CD8 T cells thus indicating ongoing cell cycling. In contrast, CD4 T cells of HIV-1 infected subjects displayed a complex pattern of gene expression. In fact, CD4 T cells expressed high levels of genes typically associated with cell activation, but low levels of cell cycle genes. Therefore, these results indicated that activated CD4 T cells of HIV-1 infected subjects were in cell cycle arrest. Taking together these results indicate that thymus function is preserved for long time during HIV- 1 infection and the increase observed in early stage disease may represent a compensatory mechanism to the depletion of CD4 T cells. However, we provide evidence for a cell cycle arrest of peripheral CD4 T cells that may prevent potentially the replenishment of CD4 T cells. RESUME Les mécanismes responsables de la perte des lymphocytes T CD4 lors de l'infection pas VIH n'ont été élucidés que partiellement. Nous ne savons toujours pas si l'épuisement des lymphocytes T CD4 résulte d'un défaut dans la production de cellules ou d'une destruction périphérique massive. Dans cette étude, la production de cellules T a été étudiée en mesurant les cercles d'excision générés lors du réarrangement du récepteur au cellules T (TRECs) chez des individus VIH-négatifs (N=120) et VIH-1 positifs (N=298). L'analyse des niveaux de TREC a été faite chez sujets HIV-infectés en considérant les phases de la maladie sur la base des comptes CD4 (phase précoce: > 500 cellules CD4/µl; intermédiaire: < 500>200; tardive: < 200) et par âge. Nos données démontrent que les niveaux de TRECs des cellules T CD8 étaient significativement plus bas chez les sujets VIH-1 infectés, à tous les stades de la maladie comparativement au groupe contrôle. En revanche, les niveaux de TRECs des cellules T CD4 étaient significativement plus élevés chez les sujets VIH-1 infectés durant la phase précoce de la maladie, tandis qu'aucune différence significative n'était observée durant la phase intermédiaire et étaient très réduits dans la phase tardive. Dans une deuxième partie, nous avons utilisé la technique des biopuces à d'ADN complémentaire pour analyser la régulation du cycle cellulaire chez les lymphocytes T CD4 et CD8 périphériques lors d'une infection au VIH-1. Des profils d'expression ont été déterminés et comparés à ceux de cellules T CD4 et CD8 stimulées in vitro, démontrant que les cellules T CD8 des sujets VIH-positifs avaient un profil d'expression très semblable à celui des cellules stimulées in vitro en prolifération. En revanche, les lymphocytes T CD4 des sujets VIH-1 positifs avaient un profil d'expression de gène plus complexe. En fait, leur profil montrait une sur- expression de gènes associés à une activation cellulaire, mais une sous-expression de ceux induisant une division. Ainsi, ces résultats indiquent que les lymphocytes T CD4 d'individus VIH-positifs présentent des dérégulations qui conduisent à un arrêt du cycle cellulaire. Ces résultats montrent que la fonction thymique est préservée longtemps pendant l'infection au VIH-1 et que l'augmentation de la quantité de TRECs dans la phase précoce de la maladie peut représenter un mécanisme compensatoire à l'épuisement des cellules T CD4. Cependant, nous démontrons aussi un clair dysfonctionnement du cycle cellulaire chez les cellules T CD4 d'individus infectés par VIH-1 ce qui peut enrayer la reconstitution du système immunitaire.

IQRray, a new method for Affymetrix microarray quality control, and the homologous organ conservation score, a new benchmark method for quality control metrics.

MOTIVATION: Microarray results accumulated in public repositories are widely reused in meta-analytical studies and secondary databases. The quality of the data obtained with this technology varies from experiment to experiment, and an efficient method for quality assessment is necessary to ensure their reliability. RESULTS: The lack of a good benchmark has hampered evaluation of existing methods for quality control. In this study, we propose a new independent quality metric that is based on evolutionary conservation of expression profiles. We show, using 11 large organ-specific datasets, that IQRray, a new quality metrics developed by us, exhibits the highest correlation with this reference metric, among 14 metrics tested. IQRray outperforms other methods in identification of poor quality arrays in datasets composed of arrays from many independent experiments. In contrast, the performance of methods designed for detecting outliers in a single experiment like Normalized Unscaled Standard Error and Relative Log Expression was low because of the inability of these methods to detect datasets containing only low-quality arrays and because the scores cannot be directly compared between experiments. AVAILABILITY AND IMPLEMENTATION: The R implementation of IQRray is available at: ftp://lausanne.isb-sib.ch/pub/databases/Bgee/general/IQRray.R. CONTACT: Marta.Rosikiewicz@unil.ch SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Genotyping microarray for CSNB-associated genes.

PURPOSE: Congenital stationary night blindness (CSNB) is a clinically and genetically heterogeneous retinal disease. Although electroretinographic (ERG) measurements can discriminate clinical subgroups, the identification of the underlying genetic defects has been complicated for CSNB because of genetic heterogeneity, the uncertainty about the mode of inheritance, and time-consuming and costly mutation scanning and direct sequencing approaches. METHODS: To overcome these challenges and to generate a time- and cost-efficient mutation screening tool, the authors developed a CSNB genotyping microarray with arrayed primer extension (APEX) technology. To cover as many mutations as possible, a comprehensive literature search was performed, and DNA samples from a cohort of patients with CSNB were first sequenced directly in known CSNB genes. Subsequently, oligonucleotides were designed representing 126 sequence variations in RHO, CABP4, CACNA1F, CACNA2D4, GNAT1, GRM6, NYX, PDE6B, and SAG and spotted on the chip. RESULTS: Direct sequencing of genes known to be associated with CSNB in the study cohort revealed 21 mutations (12 novel and 9 previously reported). The resultant microarray containing oligonucleotides, which allow to detect 126 known and novel mutations, was 100% effective in determining the expected sequence changes in all known samples assessed. In addition, investigation of 34 patients with CSNB who were previously not genotyped revealed sequence variants in 18%, of which 15% are thought to be disease-causing mutations. CONCLUSIONS: This relatively inexpensive first-pass genetic testing device for patients with a diagnosis of CSNB will improve molecular diagnostics and genetic counseling of patients and their families and gives the opportunity to analyze whether, for example, more progressive disorders such as cone or cone-rod dystrophies underlie the same gene defects.

Nanosensors for cancer detection.

Cancer is a major burden in today's society and one of the leading causes of death in industrialised countries. Various avenues for the detection of cancer exist, most of which rely on standard methods, such as histology, ELISA, and PCR. Here we put the focus on nanomechanical biosensors derived from atomic force microscopy cantilevers. The versatility of this novel technology has been demonstrated in different applications and in some ways surpasses current technologies, such as microarray, quartz crystal microbalance and surface plasmon resonance. The technology enables label free biomarker detection without the necessity of target amplification in a total cellular background, such as BRAF mutation analysis in malignant melanoma. A unique application of the cantilever array format is the analysis of conformational dynamics of membrane proteins associated to surface stress changes. Another development is characterisation of exhaled breath which allows assessment of a patient's condition in a non-invasive manner.