Single-cell gene-expression profiling reveals qualitatively distinct CD8 T cells elicited by different gene-based vaccines.

CD8 T cells play a key role in mediating protective immunity against selected pathogens after vaccination. Understanding the mechanism of this protection is dependent upon definition of the heterogeneity and complexity of cellular immune responses generated by different vaccines. Here, we identify previously unrecognized subsets of CD8 T cells based upon analysis of gene-expression patterns within single cells and show that they are differentially induced by different vaccines. Three prime-boost vector combinations encoding HIV Env stimulated antigen-specific CD8 T-cell populations of similar magnitude, phenotype, and functionality. Remarkably, however, analysis of single-cell gene-expression profiles enabled discrimination of a majority of central memory (CM) and effector memory (EM) CD8 T cells elicited by the three vaccines. Subsets of T cells could be defined based on their expression of Eomes, Cxcr3, and Ccr7, or Klrk1, Klrg1, and Ccr5 in CM and EM cells, respectively. Of CM cells elicited by DNA prime-recombinant adenoviral (rAd) boost vectors, 67% were Eomes(-) Ccr7(+) Cxcr3(-), in contrast to only 7% and 2% stimulated by rAd5-rAd5 or rAd-LCMV, respectively. Of EM cells elicited by DNA-rAd, 74% were Klrk1(-) Klrg1(-)Ccr5(-) compared with only 26% and 20% for rAd5-rAd5 or rAd5-LCMV. Definition by single-cell gene profiling of specific CM and EM CD8 T-cell subsets that are differentially induced by different gene-based vaccines will facilitate the design and evaluation of vaccines, as well as enable our understanding of mechanisms of protective immunity.

Systematic identification of genomic markers of drug sensitivity in cancer cells.

Clinical responses to anticancer therapies are often restricted to a subset of patients. In some cases, mutated cancer genes are potent biomarkers for responses to targeted agents. Here, to uncover new biomarkers of sensitivity and resistance to cancer therapeutics, we screened a panel of several hundred cancer cell lines--which represent much of the tissue-type and genetic diversity of human cancers--with 130 drugs under clinical and preclinical investigation. In aggregate, we found that mutated cancer genes were associated with cellular response to most currently available cancer drugs. Classic oncogene addiction paradigms were modified by additional tissue-specific or expression biomarkers, and some frequently mutated genes were associated with sensitivity to a broad range of therapeutic agents. Unexpected relationships were revealed, including the marked sensitivity of Ewing's sarcoma cells harbouring the EWS (also known as EWSR1)-FLI1 gene translocation to poly(ADP-ribose) polymerase (PARP) inhibitors. By linking drug activity to the functional complexity of cancer genomes, systematic pharmacogenomic profiling in cancer cell lines provides a powerful biomarker discovery platform to guide rational cancer therapeutic strategies.

Endogenous steroid profiling in the athlete biological passport.

The Athlete Biological Passport (ABP) is an individual electronic document that collects data regarding a specific athlete that is useful in differentiating between natural physiologic variations of selected biomarkers and deviations caused by artificial manipulations. A subsidiary of the endocrine module of the ABP, that which here is called Athlete Steroidal Passport (ASP), collects data on markers of an altered metabolism of endogenous steroidal hormones measured in urine samples. The ASP aims to identify not only doping with anabolic-androgenic steroids, but also most indirect steroid doping strategies such as doping with estrogen receptor antagonists and aromatase inhibitors. Development of specific markers of steroid doping, use of the athlete's previous measurements to define individual limits, with the athlete becoming his or her own reference, the inclusion of heterogeneous factors such as the UDPglucuronosyltransferase B17 genotype of the athlete, the knowledge of potentially confounding effects such as heavy alcohol consumption, the development of an external quality control system to control analytical uncertainty, and finally the use of Bayesian inferential methods to evaluate the value of indirect evidence have made the ASP a valuable alternative to deter steroid doping in elite sports. The ASP can be used to target athletes for gas chromatography/combustion/ isotope ratio mass spectrometry (GC/C/IRMS) testing, to withdraw temporarily the athlete from competing when an abnormality has been detected, and ultimately to lead to an antidoping infraction if that abnormality cannot be explained by a medical condition. Although the ASP has been developed primarily to ensure fairness in elite sports, its application in endocrinology for clinical purposes is straightforward in an evidence-based medicine paradigm.

A modular approach for integrative analysis of large-scale gene-expression and drug-response data

High-throughput technologies are now used to generate more than one type of data from the same biological samples. To properly integrate such data, we propose using co-modules, which describe coherent patterns across paired data sets, and conceive several modular methods for their identification. We first test these methods using in silico data, demonstrating that the integrative scheme of our Ping-Pong Algorithm uncovers drug-gene associations more accurately when considering noisy or complex data. Second, we provide an extensive comparative study using the gene-expression and drug-response data from the NCI-60 cell lines. Using information from the DrugBank and the Connectivity Map databases we show that the Ping-Pong Algorithm predicts drug-gene associations significantly better than other methods. Co-modules provide insights into possible mechanisms of action for a wide range of drugs and suggest new targets for therapy

Confounding factors and genetic polymorphism in the evaluation of individual steroid profiling

In the fight against doping, steroid profiling is a powerful tool to detect drug misuse with endogenous anabolic androgenic steroids. To establish sensitive and reliable models, the factors influencing profiling should be recognised. We performed an extensive literature review of the multiple factors that could influence the quantitative levels and ratios of endogenous steroids in urine matrix. For a comprehensive and scientific evaluation of the urinary steroid profile, it is necessary to define the target analytes as well as testosterone metabolism. The two main confounding factors, that is, endogenous and exogenous factors, are detailed to show the complex process of quantifying the steroid profile within WADA-accredited laboratories. Technical aspects are also discussed as they could have a significant impact on the steroid profile, and thus the steroid module of the athlete biological passport (ABP). The different factors impacting the major components of the steroid profile must be understood to ensure scientifically sound interpretation through the Bayesian model of the ABP. Not only should the statistical data be considered but also the experts in the field must be consulted for successful implementation of the steroidal module.

Subject-based steroid profiling and the determination of novel biomarkers for DHT and DHEA misuse in sports.

Doping with natural steroids can be detected by evaluating the urinary concentrations and ratios of several endogenous steroids. Since these biomarkers of steroid doping are known to present large inter-individual variations, monitoring of individual steroid profiles over time allows switching from population-based towards subject-based reference ranges for improved detection. In an Athlete Biological Passport (ABP), biomarkers data are collated throughout the athlete's sporting career and individual thresholds defined adaptively. For now, this approach has been validated on a limited number of markers of steroid doping, such as the testosterone (T) over epitestosterone (E) ratio to detect T misuse in athletes. Additional markers are required for other endogenous steroids like dihydrotestosterone (DHT) and dehydroepiandrosterone (DHEA). By combining comprehensive steroid profiles composed of 24 steroid concentrations with Bayesian inference techniques for longitudinal profiling, a selection was made for the detection of DHT and DHEA misuse. The biomarkers found were rated according to relative response, parameter stability, discriminative power, and maximal detection time. This analysis revealed DHT/E, DHT/5β-androstane-3α,17β-diol and 5α-androstane-3α,17β-diol/5β-androstane-3α,17β-diol as best biomarkers for DHT administration and DHEA/E, 16α-hydroxydehydroepiandrosterone/E, 7β-hydroxydehydroepiandrosterone/E and 5β-androstane-3α,17β-diol/5α-androstane-3α,17β-diol for DHEA. The selected biomarkers were found suitable for individual referencing. A drastic overall increase in sensitivity was obtained. The use of multiple markers as formalized in an Athlete Steroidal Passport (ASP) can provide firm evidence of doping with endogenous steroids.

Transcriptional regulation of MDR1, a gene involved in antifungal drug resistance in Candida albicans

ABSTRACT Upregulation of the Major Facilitator transporter gene MDR1 (Multi_drug Resistance 1) is one of the mechanisms observed in Candida albicans clinical isolates developing resistance to azole antifungal agents. To better understand this phenomenon, the cis-acting regulatory elements present in a modulatable reporter system under the control of the MDR1 promoter were characterized. In an azole-susceptible strain, transcription of this reporter is transiently upregulated in response to either benomyl or H2O2, whereas its expression is constitutively high in an azole-resistant strain (FR2). Two cis-acting regulatory elements, that are necessary and sufficient to convey the same transcriptional responses to a heterologous promoter (CDR2), were identified within the MDR1promoter. The first element, called BRE (for Benomyl Response Element, -296 to -260 with respect to the ATG start codon), is required for benomyl-dependent MDR1 upregulation and for constitutive high expression of MDR1 in FR2. The second element, termed HRE (for H2O2 Response Element, -561 to -520), is required for H2O2-dependent MDR1 upregulation, but is dispensable for constitutive high expression. Two potential binding sites (TTAG/CTAA) for the blip transcription factor Cap1p lie within the HRE. Moreover, inactivation of CAP1 abolished the transient response to H2O2 and diminished significantly the transient response to benomyl. Cap1p, which has been previously implicated in cellular responses to oxidative stress, may thus play a transacting and positive regulatory role in benomyl- and H2O2-dependent transcription of MDR1. However, it is not the only transcription factor involved in the response of MDR1 to benomyl. A minimal BRE element (-290 to -273) that is sufficient to detect in vitro sequence-specific binding of protein complexes in crude extracts prepared from C. albicans was also delimited. Genome-wide transcript profiling analyses undertaken with a matched pair of clinical isolates, one of which being azole-resistant and upregulating MDR1, and with an azole-susceptible strain exposed to benomyl, revealed that genes specifically upregulated by benomyl harbour in their promoters Cap1p binding site(s). This strengthened the idea that Cap1p plays a role in benomyl-dependent upregulation of MDR1. BRE-like sequences were also identified in several genes co-regulated with MDR1 in both conditions, which was consistent with the involvement of the BRE in both processes. A set of 147 mutants lacking a single transcription factor gene was next screened for loss of MDR1response to benomyl. Unfortunately, none of the tested mutants showed a loss of benomyl-dependent MDR1 upregulation. Nevertheless, a significant diminution of the response was observed in the mutants in which the MADS-box transcription factor Mcm1p and the C2H2 zinc finger transcription factor orf19.13374p were inactivated, suggesting that Mcm1p and orf19.13374p are involved in MDR1response to benomyl. Interestingly, the BRE contains a perfect match to the binding consensus of Mcm1p, raising the possibility that MDR1may be a direct target of this transcriptional activator. In conclusion, while the identity of the trans-acting factors that bind to the BRE and HRE remains to be confirmed, the tools we have developed during characterization of the cis-acting elements of the MDR1promoter should now serve to elucidate the nature of the components that modulate its activity. RESUME La surexpression du gène MDR1 (pour Résistance Multidrogue 1), qui code pour un transporteur de la famille des Major Facilitators, est l'un des mécanismes observés dans les isolats cliniques de la levure Candida albicans développant une résistance aux agents antifongiques appelés azoles. Pour mieux comprendre ce phénomène, les éléments de régulation agissant en cis dans un système rapporteur modulable sous le contrôle du promoteur MDR1 ont été caractérisés. Dans une souche sensible aux azoles, la transcription de ce rapporteur est transitoirement surélevée en réponse soit au bénomyl soit à l'agent oxydant H2O2, alors que son expression est constitutivement élevée dans une souche résistante aux azoles (souche FR2). Deux éléments de régulation agissant en cis, nécessaires et suffisants pour transmettre les mêmes réponses transcriptionnelles à un promoteur hétérologue (CDR2), ont été identifiés dans le promoteur MDR1. Le premier élément, appelé BRE (pour Elément de Réponse au Bénomyl, de -296 à -260 par rapport au codon d'initiation ATG) est requis pour la surexpression de MDR1dépendante du bénomyl et pour l'expression constitutive de MDR1 dans FR2. Le deuxième élément, appelé HRE (pour Elément de Réponse à l'H2O2, de -561 à -520), est requis pour la surexpression de MDR1 dépendante de l'H2O2, mais n'est pas impliqué dans l'expression constitutive du gène MDR1. Deux sites de fixation potentiels (TTAG/CTAA) pour le facteur de transcription Cap1p ont été identifiés dans l'élément HRE. De plus, l'inactivation de CAP1 abolit la réponse transitoire à l'H2O2 et diminua significativement la réponse transitoire au bénomyl. Cap1p, qui est impliqué dans les réponses de la cellule au stress oxydatif, doit donc jouer un rôle positif en trans dans la surexpression de MDR1 dépendante du bénomyl et de l'H2O2. Cependant, ce n'est pas le seul facteur de transcription impliqué dans la réponse au bénomyl. Un élément BRE d'une longueur minimale (de -290 à -273) a également été défini et est suffisant pour détecter une interaction spécifique in vitro avec des protéines provenant d'extraits bruts de C. albicans. L'analyse du profil de transcription d'une paire d'isolats cliniques comprenant une souche résistante aux azoles surexprimant MDR1, et d'une souche sensible aux azoles exposée au bénomyl, a révélé que les gènes spécifiquement surexprimés par le bénomyl contiennent dans leurs promoteurs un ou plusieurs sites de fixation pour Cap1p. Ceci renforce l'idée que Cap1p joue un rôle dans la surexpression de MDR1dépendante du bénomyl. Une ou deux séquences ressemblant à l'élément BRE ont également été identifiées dans la plupart des gènes corégulés avec MDR1 dans ces deux conditions, ce qui était attendu compte-tenu du rôle joué par cet élément dans les deux processus. Une collection de 147 mutants dans lesquels un seul facteur de transcription est inactivé a été testée pour la perte de réponse au bénomyl de MDR1. Malheureusement, la surexpression de MDR1 dépendante du bénomyl n'a été perdue dans aucun des mutants testés. Néanmoins, une diminution significative de la réponse a été observée chez des mutants dans lesquels le facteur de transcription à MADS-box Mcm1p et le facteur de transcription à doigts de zinc de type C2H2 orf19.13374p ont été inactivés, suggérant que Mcm1p et orf19.13374p sont impliqués dans la réponse de MDR1au bénomyl. Il est intéressant de noter que la BRE contient une séquence qui s'aligne parfaitement avec la séquence consensus du site de fixation de Mcm1p, ce qui soulève la possibilité que MDR1 pourrait être une cible directe de cet activateur transcriptionnel. En conclusion, alors que l'identité des facteurs agissant en trans en se fixant à la BRE et à la HRE reste à être confirmée, les outils que nous avons développés au cours de la caractérisation des éléments agissant en cis sur le promoteur MDR1 peut maintenant servir à élucider la nature des composants modulant son activité.

An ultra performance liquid chromatography-tandem MS assay for tamoxifen metabolites profiling in plasma: first evidence of 4'-hydroxylated metabolites in breast cancer patients.

There is increasing evidence that the clinical efficacy of tamoxifen, the first and most widely used targeted therapy for estrogen-sensitive breast cancer, depends on the formation of the active metabolites 4-hydroxy-tamoxifen and 4-hydroxy-N-desmethyl-tamoxifen (endoxifen). Large inter-individual variability in endoxifen plasma concentrations has been observed and related both to genetic and environmental (i.e. drug-induced) factors altering CYP450s metabolizing enzymes activity. In this context, we have developed an ultra performance liquid chromatography-tandem mass spectrometry method (UPLC-MS/MS) requiring 100 μL of plasma for the quantification of tamoxifen and three of its major metabolites in breast cancer patients. Plasma is purified by a combination of protein precipitation, evaporation at room temperature under nitrogen, and reconstitution in methanol/20 mM ammonium formate 1:1 (v/v), adjusted to pH 2.9 with formic acid. Reverse-phase chromatographic separation of tamoxifen, N-desmethyl-tamoxifen, 4-hydroxy-tamoxifen and 4-hydroxy-N-desmethyl-tamoxifen is performed within 13 min using elution with a gradient of 10 mM ammonium formate and acetonitrile, both containing 0.1% formic acid. Analytes quantification, using matrix-matched calibration samples spiked with their respective deuterated internal standards, is performed by electrospray ionization-triple quadrupole mass spectrometry using selected reaction monitoring detection in the positive mode. The method was validated according to FDA recommendations, including assessment of relative matrix effects variability, as well as tamoxifen and metabolites short-term stability in plasma and whole blood. The method is precise (inter-day CV%: 2.5-7.8%), accurate (-1.4 to +5.8%) and sensitive (lower limits of quantification comprised between 0.4 and 2.0 ng/mL). Application of this method to patients' samples has made possible the identification of two further metabolites, 4'-hydroxy-tamoxifen and 4'-hydroxy-N-desmethyl-tamoxifen, described for the first time in breast cancer patients. This UPLC-MS/MS assay is currently applied for monitoring plasma levels of tamoxifen and its metabolites in breast cancer patients within the frame of a clinical trial aiming to assess the impact of dose increase on tamoxifen and endoxifen exposure.

MALDI-TOF MS-based drug susceptibility testing of pathogens: The example of Candida albicans and fluconazole.

MALDI-TOF MS can be used for the identification of microorganism species. We have extended its application to a novel assay of Candida albicans susceptibility to fluconazole, based on monitoring modifications of the proteome of yeast cells grown in the presence of varying drug concentrations. The method was accurate, and reliable, and showed full agreement with the Clinical Laboratory Standards Institute's reference method. This proof-of-concept demonstration highlights the potential for this approach to test other pathogens.

Subject-based steroid profiling and the determination of novel biomarkers for DHT and DHEA misuse in sports.

Doping with natural steroids can be detected by evaluating the urinary concentrations and ratios of several endogenous steroids. Since these biomarkers of steroid doping are known to present large inter-individual variations, monitoring of individual steroid profiles over time allows switching from population-based towards subject-based reference ranges for improved detection. In an Athlete Biological Passport (ABP), biomarkers data are collated throughout the athlete's sporting career and individual thresholds defined adaptively. For now, this approach has been validated on a limited number of markers of steroid doping, such as the testosterone (T) over epitestosterone (E) ratio to detect T misuse in athletes. Additional markers are required for other endogenous steroids like dihydrotestosterone (DHT) and dehydroepiandrosterone (DHEA). By combining comprehensive steroid profiles composed of 24 steroid concentrations with Bayesian inference techniques for longitudinal profiling, a selection was made for the detection of DHT and DHEA misuse. The biomarkers found were rated according to relative response, parameter stability, discriminative power, and maximal detection time. This analysis revealed DHT/E, DHT/5β-androstane-3α,17β-diol and 5α-androstane-3α,17β-diol/5β-androstane-3α,17β-diol as best biomarkers for DHT administration and DHEA/E, 16α-hydroxydehydroepiandrosterone/E, 7β-hydroxydehydroepiandrosterone/E and 5β-androstane-3α,17β-diol/5α-androstane-3α,17β-diol for DHEA. The selected biomarkers were found suitable for individual referencing. A drastic overall increase in sensitivity was obtained.The use of multiple markers as formalized in an Athlete Steroidal Passport (ASP) can provide firm evidence of doping with endogenous steroids. Copyright © 2010 John Wiley & Sons, Ltd.

Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.

Background: Estrogen receptor positive (ER+) breast cancers (BC) are heterogeneous with regard to their clinical behavior and response to therapies. The ER is currently the best predictor of response to the anti-estrogen agent tamoxifen, yet up to 30-40% of ER+ BC will relapse despite tamoxifen treatment. New prognostic biomarkers and further biological understanding of tamoxifen resistance are required. We used gene expression profiling to develop an outcome-based predictor using a training set of 255 ER+ BC samples from women treated with adjuvant tamoxifen monotherapy. We used clusters of highly correlated genes to develop our predictor to facilitate both signature stability and biological interpretation. Independent validation was performed using 362 tamoxifen-treated ER+ BC samples obtained from multiple institutions and treated with tamoxifen only in the adjuvant and metastatic settings.Results: We developed a gene classifier consisting of 181 genes belonging to 13 biological clusters. In the independent set of adjuvantly-treated samples, it was able to define two distinct prognostic groups (HR 2.01 95% CI: 1.29-3.13; p = 0.002). Six of the 13 gene clusters represented pathways involved in cell cycle and proliferation. In 112 metastatic breast cancer patients treated with tamoxifen, one of the classifier components suggesting a cellular inflammatory mechanism was significantly predictive of response.Conclusion: We have developed a gene classifier that can predict clinical outcome in tamoxifen-treated ER+ BC patients. Whilst our study emphasizes the important role of proliferation genes in prognosis, our approach proposes other genes and pathways that may elucidate further mechanisms that influence clinical outcome and prediction of response to tamoxifen.

Profiling of signal transduction in human memory T cells

Résumé pour un large public: La vaccination a eu un impact énorme sur la santé mondiale. Mais, quel est le principe d'un vaccin? Il est basé sur la 'mémoire immunologique', qui est une particularité exclusive des systèmes immunitaires des organismes évolués. Suite à une infection par un pathogène, des cellules spécialisées de notre système immunitaire (les lymphocytes) le reconnaissent et initient une réaction immunitaire qui a pour but son élimination. Pendant cette réaction se développent aussi des cellules, appelées cellules lymphocytaires mémoire, qui persistent pour longue durée et qui ont la capacité de stimuler une réaction immunitaire très efficace immédiatement après une seconde exposition à ce même pathogène. Ce sont ces cellules mémoires (lymphocytes B et T) qui sont à la base de la 'mémoire immunologique' et qui sont stimulées lors de la vaccination. Chez l'homme, deux populations distinctes des lymphocytes T mémoires ont été identifiées: les cellules centrales (CM) et effectrices (EM) mémoires. Ces populations sont fonctionnellement hétérogènes et exercent des rôles distincts et essentiels dans l'immunité protectrice. Typiquement, les cellules effectrices mémoires sont capables de tuer immédiatement le pathogène tandis que les cellules centrales mémoires sont responsables d'initier une réponse immunitaire complète. Pourtant, les mécanismes biochimiques qui contrôlent les fonctions de ces cellules ont été jusqu'à présent peu étudiés à cause de la faible fréquence de ces cellules et de la quantité limitée de tissus humains disponibles pour les analyses. La compréhension de ces mécanismes est cruciale pour la réalisation de vaccins efficaces et pour le développement de nouveaux médicaments capables de moduler la réponse immunitaire lymphocytaire. Dans cette thèse, nous avons d'abord développé et amélioré une technologie appelée 'protéine array en phase inverse' qui possède un niveau de sensibilité beaucoup plus élevé par rapport aux technologies classiquement utilisées dans l'étude des protéines. Grâce à cette technique, nous avons pu comparer la composition protéique du système de transmission des signaux d'activation des cellules CM et EM humaines. L'analyse de 8 à 13 sujets sains a montré que ces populations des cellules mémoires possèdent un système de signalisation protéique différent. En effet, les cellules EM possèdent, par rapport aux cellules CM, des niveaux réduits d'une protéine régulatrice (appelée c-Cbl) que nous avons démontré comme étant responsable des fonctions spécifiques de ces cellules. En effet, en augmentant artificiellement l'expression de cette protéine régulatrice dans les cellules EM jusqu'au niveau de celui des cellules CM, nous avons induit dans les cellules EM des capacités fonctionnelles caractéristiques des cellules CM. En conclusion, notre étude a identifié, pour la première fois chez l'homme, un mécanisme biochimique qui contrôle les fonctions des populations des cellules mémoires. Résumé en Français: Les cellules mémoires persistent inertes dans l'organisme et produisent des réactions immunitaires rapides et robustes contre les pathogènes précédemment rencontrés. Deux populations distinctes des cellules mémoires ont été identifiées chez l'homme: les cellules centrales (CM) et effectrices (EM) mémoires. Ces populations sont fonctionnellement hétérogènes et exercent des rôles distincts et critiques dans l'immunité protectrice. Les mécanismes biochimiques qui contrôlent leurs fonctions ont été jusqu'à présent peu étudiés, bien que leur compréhension soit cruciale pour le développement des vaccins et des nouveaux traitements/médicaments. Les limites majeures à ces études sont la faible fréquence de ces populations et la quantité limitée de tissus humains disponibles. Dans cette thèse nous avons d'abord développé et amélioré la technologie de 'protéine array en phase inverse' afin d'analyser les molécules de signalisation des cellules mémoires CD4 et CD8 humaines isolées ex vivo. L'excellente sensibilité, la reproductibilité et la linéarité de la détection, ont permis de quantifier des variations d'expression protéiques supérieures à 20% dans un lysat équivalent à 20 cellules. Ensuite, grâce à l'analyse de 8 à 13 sujets sains, nous avons prouvé que les cellules mémoires CD8 ont une composition homogène de leur système de signalisation tandis que les cellules CD4 EM expriment significativement de plus grandes quantités de SLP-76 et des niveaux réduits de c-Cbl, Syk, Fyn et LAT par rapport aux cellules CM. En outre, l'expression réduite du régulateur négatif c-Cbl est corrélée avec l'expression des SLP-76, PI3K et LAT uniquement dans les cellules EM. L'évaluation des propriétés fonctionnelles des cellules mémoires a permis de démontrer que l'expression réduite du c-Cbl dans les cellules EM est associé à une diminution de leur seuil d'activation. En effet, grâce a la technique de transduction cytosolique, nous avons augmenté la quantité de c-Cbl des cellules EM à un niveau comparable à celui des cellules CM et constaté une réduction de la capacité des cellules EM à proliférer et sécréter des cytokines. Ce mécanisme de régulation dépend principalement de l'activité d'ubiquitine ligase de c-Cbl comme démontré par l'impact réduit du mutant enzymatiquement déficient de c-Cbl sur les fonctions de cellules EM. En conclusion, cette thèse identifie c-Cbl comme un régulateur critique des réponses fonctionnelles des populations de cellules T mémoires et fournit, pour la première fois chez l'homme, un mécanisme contrôlant l'hétérogénéité fonctionnelle des ces cellules. De plus, elle valide l'utilisation combinée des 'RPP arrays' et de la transduction cytosolique comme outil puissant d'analyse quantitative et fonctionnel des protéines de signalisation. Summary : Memory cells persist in a quiescent state in the body and mediate rapid and vigorous immune responses toward pathogens previously encountered. Two subsets of memory cells, namely central (CM) and effector (EM) memory cells, have been identified in humans. These subsets display high functional heterogeneity and assert critical and distinct roles in the control of protective immunity. The biochemical mechanisms controlling their functional properties remain so far poorly investigated, although their clarification is crucial for design of effective T-cell vaccine and drug development. Major limitations to these studies lie in the low frequency of memory T cell subsets and the limited amount of human specimen available. In this thesis we first implemented the innovative reverse phase protein array approach to profile 15 signalling components in human CD8 and CD4 memory T cells isolated ex vivo. The high degree of sensitivity, reproducibility and linearity achieved, allowed an excellent quantification of variations in protein expression higher than 20% in as few as 20-cell equivalent per spot. Based on the analysis of 8 to 13 healthy subjects, we showed that CD8 memory cells have a homogeneous composition of their signaling machinery while CD4 EM cells express statistically significant increased amounts of SLP-76 and reduced levels of c- Cbl, Syk, Fyn and LAT as compared to CM cells. Moreover, in EM but not CM cells, reduced expression of negative regulator c-Cbl correlated with the expression of SLP-76, PI3K and LAT. Subsequently, we demonstrated that the higher functional properties and the lower functional threshold of EM cells is associated with reduced expression of c-Cbl. Indeed, by increasing c-Cbl content of EM cells to the same level of CM cells using cytosolic transduction, we impaired their proliferation and cytokine production. This regulatory mechanism was primarily dependent on c-Cbl E3 ubiquitin ligase activity as evidenced by the weaker impact of enzymatically deficient c-Cbl C381A mutant on EM cell functions. Together, these results identify c-Cbl as a critical regulator of the functional responses of memory T cell subsets and provides, for the first time in humans, a mechanism controlling the functional heterogeneity of memory CD4 cells. Moreover it validates the combined use of RPP arrays and cytosolic transduction approaches as a powerful tool to quantitatively analyze signalling proteins and functionally assess their roles.

In Vivo Profiling and Distribution of Known and Novel Phase I and Phase II Metabolites of Efavirenz in Plasma, Urine, and Cerebrospinal Fluid.

Efavirenz (EFV) is principally metabolized by CYP2B6 to 8-hydroxy-efavirenz (8OH-EFV) and to a lesser extent by CYP2A6 to 7-hydroxy-efavirenz (7OH-EFV). So far, most metabolite profile analyses have been restricted to 8OH-EFV, 7OH-EFV, and EFV-N-glucuronide, even though these metabolites represent a minor percentage of EFV metabolites present in vivo. We have performed a quantitative phase I and II metabolite profile analysis by tandem mass spectrometry of plasma, cerebrospinal fluid (CSF), and urine samples in 71 human immunodeficiency virus patients taking efavirenz, prior to and after enzymatic (glucuronidase and sulfatase) hydrolysis. We have shown that phase II metabolites constitute the major part of the known circulating efavirenz species in humans. The 8OH-EFV-glucuronide (gln) and 8OH-EFV-sulfate (identified for the first time) in humans were found to be 64- and 7-fold higher than the parent 8OH-EFV, respectively. In individuals (n = 67) genotyped for CYP2B6, 2A6, and CYP3A metabolic pathways, 8OH-EFV/EFV ratios in plasma were an index of CYP2B6 phenotypic activity (P < 0.0001), which was also reflected by phase II metabolites 8OH-EFV-glucuronide/EFV and 8OH-EFV-sulfate/EFV ratios. Neither EFV nor 8OH-EFV, nor any other considered metabolites in plasma were associated with an increased risk of central nervous system (CNS) toxicity. In CSF, 8OH-EFV levels were not influenced by CYP2B6 genotypes and did not predict CNS toxicity. The phase II metabolites 8OH-EFV-gln, 8OH-EFV-sulfate, and 7OH-EFV-gln were present in CSF at 2- to 9-fold higher concentrations than 8OH-EFV. The potential contribution of known and previously unreported EFV metabolites in CSF to the neuropsychological effects of efavirenz needs to be further examined in larger cohort studies.

Further molecular profiling of tumors harboring therapeutic targets within non-small cell lung cancer

Background: Treatment of NSCLC has been revolutionized in recent years with the introduction of several targeted therapies for selected genetically altered subtypes of NSCLC. A better understanding of molecular characteristics of NSCLC, which features common drug targets, may identify new therapeutic options. Methods: Over 6,700 non-small cell lung cancer cases referred to Caris Life Sciences between 2009 and 2014. Diagnoses and history were collected from referring physicians. Specific testing was performed per physician request and included a combination of sequencing (Sanger, NGS or pyrosequencing), protein expression (IHC), gene amplification/rearrangement (CISH or FISH), and/or RNA fragment analysis. Results: Tumors profiles from patients with hormone receptor positive disease (HER2, ER, PR, or AR positive by IHC) (n=629), HER2 mutations (n=8) ALK rearrangements (n=55), ROS1 rearrangement (n=17), cMET amplification or mutation (n=126), and cKIT mutation (n=11) were included in this analysis and compared to the whole cohort. Tumors with ALK rearrangement overexpressed AR in 18% of cases, and 7% presented with concomitant KRAS mutation. Lower rates of PTEN loss, as assessed by IHC, were observed in ALK positive (20%), ROS1 positive (9%) and cKIT mutated tumors (25%) compared to the overall NSCLC population (58%). cMET was overexpressed in 66% of ROS1 translocated and 57% of HER2 mutated tumors. cKIT mutations were found co-existing with APC (20%) and EGFR (20%) mutations. Pathway analysis revealed that hormone receptor positive disease carried more mutations in the ERK pathway (32%) compared to 9% in the mTOR pathway. 25% of patients with HER2 mutations harbored a co-existing mutation in the mTOR pathway. Conclusions: Pathway profiling reveals that NSCLC tumors present more often than reported with several concomitant alterations affecting the ERK or AKT pathway. Additionally, they are also characterized by the expression of potential biological modifiers of the cell cycle like hormonal receptors, representing a rationale for dual inhibition strategies in selected patients. Further refining of the understanding of NSCLC biomarker profile will optimize research for new treatment strategies.

Bioluminescent sensor proteins for point-of-care therapeutic drug monitoring.

For many drugs, finding the balance between efficacy and toxicity requires monitoring their concentrations in the patient's blood. Quantifying drug levels at the bedside or at home would have advantages in terms of therapeutic outcome and convenience, but current techniques require the setting of a diagnostic laboratory. We have developed semisynthetic bioluminescent sensors that permit precise measurements of drug concentrations in patient samples by spotting minimal volumes on paper and recording the signal using a simple point-and-shoot camera. Our sensors have a modular design consisting of a protein-based and a synthetic part and can be engineered to selectively recognize a wide range of drugs, including immunosuppressants, antiepileptics, anticancer agents and antiarrhythmics. This low-cost point-of-care method could make therapies safer, increase the convenience of doctors and patients and make therapeutic drug monitoring available in regions with poor infrastructure.