Functional analysis of the post-transcriptional regulator RsmA reveals a novel RNA-binding site.

The RsmA family of RNA-binding proteins are global post-transcriptional regulators that mediate extensive changes in gene expression in bacteria. They bind to, and affect the translation rate of target mRNAs, a function that is further modulated by one or more, small, untranslated competitive regulatory RNAs. To gain new insights into the nature of this protein/RNA interaction, we used X-ray crystallography to solve the structure of the Yersinia enterocolitica RsmA homologue. RsmA consists of a dimeric beta barrel from which two alpha helices are projected. From structure-based alignments of the RsmA protein family from diverse bacteria, we identified key amino acid residues likely to be involved in RNA-binding. Site-specific mutagenesis revealed that arginine at position 44, located at the N terminus of the alpha helix is essential for biological activity in vivo and RNA-binding in vitro. Mutation of this site affects swarming motility, exoenzyme and secondary metabolite production in the human pathogen Pseudomonas aeruginosa, carbon metabolism in Escherichia coli, and hydrogen cyanide production in the plant beneficial strain Pseudomonas fluorescens CHA0. R44A mutants are also unable to interact with the small untranslated RNA, RsmZ. Thus, although possessing a motif similar to the KH domain of some eukaryotic RNA-binding proteins, RsmA differs substantially and incorporates a novel class of RNA-binding site.

Transcriptional regulation of RNA polymerase III in mammalian cells

L'ARN Polymérase III (Pol III) transcrit un ensemble de petits ARN non traduits impliqués dans des processus cellulaires tels que la biosynthèse des protéines, la maturation des ARNs ou le contrôle transcriptionnel. De ce fait, la Pol III joue un rôle important dans la régulation de la croissance et la prolifération cellulaire. L'initiation de la transcription par la Pol III nécessite l'interaction entre des facteurs de transcription et le complexe de la Pol III lui-même. Un sous- complexe de la Pol III, composé de 3 sous-unités, HsRPC3, HsRPC6 et HsRPC7 sert d'intermédiaire dans cette interaction. Dans cette étude, nous avons caractérisé une nouvelle sous-unité de la Pol III, HsRPC7-Like, homologue à HsRPC7. Nous avons montré que ces deux homologues se trouvent spécifiquement chez les vertébrés. Ils proviennent d'un ancêtre commun qui, après duplication il y a 600 millions d'années, a donné naissance à ces deux paralogues. Dans les cellules humaines, deux formes de Pol III coexistent : l'une contientt HsRPC7, l'autre HsRPC7-Like. Nous avons localisé, à l'échelle du génome entier, la présence de ces deux formes de Pol III dans des cellules humaines et dans le foie de souris. Les deux sous-unités ont démontré des caractéristiques identiques, suggérant qu'elles possèdent des fonctions similaires. Cependant, nous avons analysé les motifs d'expression des gènes codant pour RPC7 et RPC7-Like dans des lignées cellulaires dans des conditions variées telles que la concentration de sérum et la densité cellulaire, ainsi que les motifs d'expression dans le foie de souris et des cellules d'hépatocarcinome de souris. Nos résultats suggèrent que l'expression de ces deux sous-untiés varie en fonction de l'activité de prolifération de la cellule. - RNA polymerase III (Pol III) transcribes a set of genes coding for short untranslated RNAs involved in essential cellular processes as for example protein biosynthesis, RNA maturation, and transcriptional control. Thereby Pol III plays an important role in regulating cell growth and proliferation. Initiation of Pol III transcription requires interactions between transcription factors and the Pol III core complex. A Pol III sub-complex composed of three subunits, HsRPC3, HsRPC6, and HsRPC7 mediates this interaction. In this study, we have characterized a new Pol III subunit, HsRPC7-Like, an homologue of HsRPC7. We have shown that these two homologues are specific to vertebrates and originate from an ancestor gene that duplicated 600 mio years ago to give birth to two paralogues. In human cells, two forms of Pol III coexist, one containing HsRPC7 and the other HsRPC7-Like. We have localized, genome-wide, these two Pol III forms in human cells and mouse liver. Both subunits were found on all types of Pol III genes, suggesting that they share similar function. However, we analysed the expression patterns of the RPC7 and RPC7-Like coding genes under various conditions of serum concentration and cell density in different cell lines, as well as expression patterns in mouse liver and mouse hepatocarcinoma cells. Our results suggest that the expression of these two subunits varies with the proliferation rate of the cell.

Gac/Rsm signal transduction pathway of gamma-proteobacteria: from RNA recognition to regulation of social behaviour.

In many gamma-proteobacteria, the conserved GacS/GacA (BarA/UvrY) two-component system positively controls the expression of one to five genes specifying small RNAs (sRNAs) that are characterized by repeated unpaired GGA motifs but otherwise appear to belong to several independent families. The GGA motifs are essential for binding small, dimeric RNA-binding proteins of a single conserved family designated RsmA (CsrA). These proteins, which also occur in bacterial species outside the gamma-proteobacteria, act as translational repressors of certain mRNAs when these contain an RsmA/CsrA binding site at or near the Shine-Dalgarno sequence plus additional binding sites located in the 5' untranslated leader mRNA. Recent structural data have established that the RsmA-like protein RsmE of Pseudomonas fluorescens makes specific contacts with an RNA consensus sequence 5'-(A)/(U)CANGGANG(U)/(A)-3' (where N is any nucleotide). Interaction with an RsmA/CsrA protein promotes the formation of a short stem supporting an ANGGAN loop. This conformation hinders access of 30S ribosomal subunits and hence translation initiation. The output of the Gac/Rsm cascade varies widely in different bacterial species and typically involves management of carbon storage and expression of virulence or biocontrol factors. Unidentified signal molecules co-ordinate the activity of the Gac/Rsm cascade in a cell population density-dependent manner.

NrsZ: a novel, processed, nitrogen-dependent, small non-coding RNA that regulates Pseudomonas aeruginosa PAO1 virulence.

The opportunistic pathogen Pseudomonas aeruginosa PAO1 has a remarkable capacity to adapt to various environments and to survive with limited nutrients. Here, we report the discovery and characterization of a novel small non-coding RNA: NrsZ (nitrogen-regulated sRNA). We show that under nitrogen limitation, NrsZ is induced by the NtrB/C two component system, an important regulator of nitrogen assimilation and P. aeruginosa's swarming motility, in concert with the alternative sigma factor RpoN. Furthermore, we demonstrate that NrsZ modulates P. aeruginosa motility by controlling the production of rhamnolipid surfactants, virulence factors notably needed for swarming motility. This regulation takes place through the post-transcriptional control of rhlA, a gene essential for rhamnolipids synthesis. Interestingly, we also observed that NrsZ is processed in three similar short modules, and that the first short module encompassing the first 60 nucleotides is sufficient for NrsZ regulatory functions.

Deletion of the RNA-binding proteins ZFP36L1 and ZFP36L2 leads to perturbed thymic development and T lymphoblastic leukemia.

ZFP36L1 and ZFP36L2 are RNA-binding proteins (RBPs) that interact with AU-rich elements in the 3' untranslated region of mRNA, which leads to mRNA degradation and translational repression. Here we show that mice that lacked ZFP36L1 and ZFP36L2 during thymopoiesis developed a T cell acute lymphoblastic leukemia (T-ALL) dependent on the oncogenic transcription factor Notch1. Before the onset of T-ALL, thymic development was perturbed, with accumulation of cells that had passed through the beta-selection checkpoint without first expressing the T cell antigen receptor beta-chain (TCRbeta). Notch1 expression was higher in untransformed thymocytes in the absence of ZFP36L1 and ZFP36L2. Both RBPs interacted with evolutionarily conserved AU-rich elements in the 3' untranslated region of Notch1 and suppressed its expression. Our data establish a role for ZFP36L1 and ZFP36L2 during thymocyte development and in the prevention of malignant transformation.

RsmY, a small regulatory RNA, is required in concert with RsmZ for GacA-dependent expression of biocontrol traits in Pseudomonas fluorescens CHA0.

In the plant-beneficial soil bacterium and biocontrol model organism Pseudomonas fluorescens CHA0, the GacS/GacA two-component system upregulates the production of biocontrol factors, i.e. antifungal secondary metabolites and extracellular enzymes, under conditions of slow, non-exponential growth. When activated, the GacS/GacA system promotes the transcription of a small regulatory RNA (RsmZ), which sequesters the small RNA-binding protein RsmA, a translational regulator of genes involved in biocontrol. The gene for a second GacA-regulated small RNA (RsmY) was detected in silico in various pseudomonads, and was cloned from strain CHA0. RsmY, like RsmZ, contains several characteristic GGA motifs. The rsmY gene was expressed in strain CHA0 as a 118 nt transcript which was most abundant in stationary phase, as revealed by Northern blot and transcriptional fusion analysis. Transcription of rsmY was enhanced by the addition of the strain's own supernatant extract containing a quorum-sensing signal and was abolished in gacS or gacA mutants. An rsmA mutation led to reduced rsmY expression, via a gacA-independent mechanism. Overexpression of rsmY restored the expression of target genes (hcnA, aprA) to gacS or gacA mutants. Whereas mutants deleted for either the rsmY or the rsmZ structural gene were not significantly altered in the synthesis of extracellular products (hydrogen cyanide, 2,4-diacetylphloroglucinol, exoprotease), an rsmY rsmZ double mutant was strongly impaired in this production and in its biocontrol properties in a cucumber-Pythium ultimum microcosm. Mobility shift assays demonstrated that multiple molecules of RsmA bound specifically to RsmY and RsmZ RNAs. In conclusion, two small, untranslated RNAs, RsmY and RsmZ, are key factors that relieve RsmA-mediated regulation of secondary metabolism and biocontrol traits in the GacS/GacA cascade of strain CHA0.

GacA-controlled activation of promoters for small RNA genes in Pseudomonas fluorescens.

The Gac/Rsm signal transduction pathway positively regulates secondary metabolism, production of extracellular enzymes, and biocontrol properties of Pseudomonas fluorescens CHA0 via the expression of three noncoding small RNAs, termed RsmX, RsmY, and RsmZ. The architecture and function of the rsmY and rsmZ promoters were studied in vivo. A conserved palindromic upstream activating sequence (UAS) was found to be necessary but not sufficient for rsmY and rsmZ expression and for activation by the response regulator GacA. A poorly conserved linker region located between the UAS and the -10 promoter sequence was also essential for GacA-dependent rsmY and rsmZ expression, suggesting a need for auxiliary transcription factors. One such factor involved in the activation of the rsmZ promoter was identified as the PsrA protein, previously recognized as an activator of the rpoS gene and a repressor of fatty acid degradation. Furthermore, the integration host factor (IHF) protein was found to bind with high affinity to the rsmZ promoter region in vitro, suggesting that DNA bending contributes to the regulated expression of rsmZ. In an rsmXYZ triple mutant, the expression of rsmY and rsmZ was elevated above that found in the wild type. This negative feedback loop appears to involve the translational regulators RsmA and RsmE, whose activity is antagonized by RsmXYZ, and several hypothetical DNA-binding proteins. This highly complex network controls the expression of the three small RNAs in response to cell physiology and cell population densities.

Genome-wide search reveals a novel GacA-regulated small RNA in Pseudomonas species.

BACKGROUND: Small RNAs (sRNAs) are widespread among bacteria and have diverse regulatory roles. Most of these sRNAs have been discovered by a combination of computational and experimental methods. In Pseudomonas aeruginosa, a ubiquitous Gram-negative bacterium and opportunistic human pathogen, the GacS/GacA two-component system positively controls the transcription of two sRNAs (RsmY, RsmZ), which are crucial for the expression of genes involved in virulence. In the biocontrol bacterium Pseudomonas fluorescens CHA0, three GacA-controlled sRNAs (RsmX, RsmY, RsmZ) regulate the response to oxidative stress and the expression of extracellular products including biocontrol factors. RsmX, RsmY and RsmZ contain multiple unpaired GGA motifs and control the expression of target mRNAs at the translational level, by sequestration of translational repressor proteins of the RsmA family. RESULTS: A combined computational and experimental approach enabled us to identify 14 intergenic regions encoding sRNAs in P. aeruginosa. Eight of these regions encode newly identified sRNAs. The intergenic region 1698 was found to specify a novel GacA-controlled sRNA termed RgsA. GacA regulation appeared to be indirect. In P. fluorescens CHA0, an RgsA homolog was also expressed under positive GacA control. This 120-nt sRNA contained a single GGA motif and, unlike RsmX, RsmY and RsmZ, was unable to derepress translation of the hcnA gene (involved in the biosynthesis of the biocontrol factor hydrogen cyanide), but contributed to the bacterium's resistance to hydrogen peroxide. In both P. aeruginosa and P. fluorescens the stress sigma factor RpoS was essential for RgsA expression. CONCLUSION: The discovery of an additional sRNA expressed under GacA control in two Pseudomonas species highlights the complexity of this global regulatory system and suggests that the mode of action of GacA control may be more elaborate than previously suspected. Our results also confirm that several GGA motifs are required in an sRNA for sequestration of the RsmA protein.

Le coeur des ARN non codants - Un long chemin à découvrir [In the heart of noncoding RNA: a long way to go].

The identification and characterization of long noncoding RNA in a variety of tissues represent major achievements that contribute to our understanding of the molecular mechanisms controlling gene expression. In particular, long noncoding RNA play crucial roles in the epigenetic regulation of the adaptive response to environmental cues via their capacity to target chromatin modifiers to specific locus. In addition, these transcripts have been implicated in controlling splicing, translation and degradation of messenger RNA. Long noncoding RNA have also been shown to act as decoy molecules for microRNA. In the heart, a few long noncoding RNA have been demonstrated to regulate cardiac commitment and differentiation during development. Furthermore, recent findings suggest their involvement as regulators of the pathophysiological response to injury in the adult heart. Their high cellular specificity makes them attractive target molecules for innovative therapies and ideal biomarkers.

Results of An International Study of Quantitative BCR/ABL Assays Using Defined RNA Samples

Molecular monitoring of BCR/ABL transcripts by real time quantitative reverse transcription PCR (qRT-PCR) is an essential technique for clinical management of patients with BCR/ABL-positive CML and ALL. Though quantitative BCR/ABL assays are performed in hundreds of laboratories worldwide, results among these laboratories cannot be reliably compared due to heterogeneity in test methods, data analysis, reporting, and lack of quantitative standards. Recent efforts towards standardization have been limited in scope. Aliquots of RNA were sent to clinical test centers worldwide in order to evaluate methods and reporting for e1a2, b2a2, and b3a2 transcript levels using their own qRT-PCR assays. Total RNA was isolated from tissue culture cells that expressed each of the different BCR/ABL transcripts. Serial log dilutions were prepared, ranging from 100 to 10-5, in RNA isolated from HL60 cells. Laboratories performed 5 independent qRT-PCR reactions for each sample type at each dilution. In addition, 15 qRT-PCR reactions of the 10-3 b3a2 RNA dilution were run to assess reproducibility within and between laboratories. Participants were asked to run the samples following their standard protocols and to report cycle threshold (Ct), quantitative values for BCR/ABL and housekeeping genes, and ratios of BCR/ABL to housekeeping genes for each sample RNA. Thirty-seven (n=37) participants have submitted qRT-PCR results for analysis (36, 37, and 34 labs generated data for b2a2, b3a2, and e1a2, respectively). The limit of detection for this study was defined as the lowest dilution that a Ct value could be detected for all 5 replicates. For b2a2, 15, 16, 4, and 1 lab(s) showed a limit of detection at the 10-5, 10-4, 10-3, and 10-2 dilutions, respectively. For b3a2, 20, 13, and 4 labs showed a limit of detection at the 10-5, 10-4, and 10-3 dilutions, respectively. For e1a2, 10, 21, 2, and 1 lab(s) showed a limit of detection at the 10-5, 10-4, 10-3, and 10-2 dilutions, respectively. Log %BCR/ABL ratio values provided a method for comparing results between the different laboratories for each BCR/ABL dilution series. Linear regression analysis revealed concordance among the majority of participant data over the 10-1 to 10-4 dilutions. The overall slope values showed comparable results among the majority of b2a2 (mean=0.939; median=0.9627; range (0.399 - 1.1872)), b3a2 (mean=0.925; median=0.922; range (0.625 - 1.140)), and e1a2 (mean=0.897; median=0.909; range (0.5174 - 1.138)) laboratory results (Fig. 1-3)). Thirty-four (n=34) out of the 37 laboratories reported Ct values for all 15 replicates and only those with a complete data set were included in the inter-lab calculations. Eleven laboratories either did not report their copy number data or used other reporting units such as nanograms or cell numbers; therefore, only 26 laboratories were included in the overall analysis of copy numbers. The median copy number was 348.4, with a range from 15.6 to 547,000 copies (approximately a 4.5 log difference); the median intra-lab %CV was 19.2% with a range from 4.2% to 82.6%. While our international performance evaluation using serially diluted RNA samples has reinforced the fact that heterogeneity exists among clinical laboratories, it has also demonstrated that performance within a laboratory is overall very consistent. Accordingly, the availability of defined BCR/ABL RNAs may facilitate the validation of all phases of quantitative BCR/ABL analysis and may be extremely useful as a tool for monitoring assay performance. Ongoing analyses of these materials, along with the development of additional control materials, may solidify consensus around their application in routine laboratory testing and possible integration in worldwide efforts to standardize quantitative BCR/ABL testing.

Regulatory RNA binding molecules : implication for diabetes pathogenesis

Le glucose est notre principale source d'énergie. Après un repas, le taux de glucose dans le sang (glycémie) augmente, ce qui entraine la sécrétion d'insuline. L'insuline est une hormone synthétisée au niveau du pancréas par des cellules dites bêta. Elle agit sur différents organes tels que les muscles, le foie ou le tissu adipeux, induisant ainsi le stockage du glucose en vue d'une utilisation future.¦Le diabète est une maladie caractérisée par un taux élevé de glucose dans le sang (hyperglycémie), résultant d'une incapacité de notre corps à utiliser ou à produire suffisamment d'insuline. A long terme, cette hyperglycémie entraîne une détérioration du système cardio-vasculaire ainsi que de nombreuses complications. On distingue principalement deux type de diabète : le diabète de type 1 et le diabète de type 2, le plus fréquent (environ 90% des cas). Bien que ces deux maladies diffèrent sur beaucoup de points, elles partagent quelques similitudes. D'une part, on décèle une diminution de la quantité de cellules bêta. Cette diminution est cependant partielle dans le cas d'un diabète de type 2, et totale dans celui d'un diabète de type 1. D'autre part, la présence dans la circulation de médiateurs de l'inflammation nommés cytokines est décelée aussi bien chez les patients de type 1 que de type 2. Les cytokines sont sécrétées lors d'une inflammation. Elles servent de moyen de communication entre les différents acteurs de l'inflammation et ont pour certaines un effet néfaste sur la survie des cellules bêta.¦L'objectif principal de ma thèse a été d'étudier en détail l'effet de petites molécules régulatrices de l'expression génique, appelées microARNs. Basé sur le fait que de nombreuses publications ont démontré que les microARNs étaient impliqués dans différentes maladies telles que le cancer, j'ai émis l'hypothèse qu'ils pouvaient également jouer un rôle important dans le développement du diabète.¦Nous avons commencé par mettre des cellules bêta en culture en présence de cytokines, imitant ainsi un environnement inflammatoire. Nous avons pu de ce fait identifier les microARNs dont les niveaux d'expression étaient modifiés. A l'aide de méthodes biochimiques, nous avons ensuite observé que la modulation de certains microARNs par les cytokines avaient des effets néfastes sur la cellule bêta : sur sa production et sa sécrétion d'insuline, ainsi que sur sa mort (apoptose). Nous avons en conséquence pu démontrer que ces petites molécules avaient un rôle important à jouer dans le dysfonctionnement des cellules bêta induit par les cytokines, aboutissant au développement du diabète.¦-¦La cellule bêta pancréatique est une cellule endocrine présente dans les îlots de Langerhans, dans le pancréas. L'insuline, une hormone sécrétée par ces cellules, joue un rôle essentiel dans la régulation de la glycémie. Le diabète se développe si le taux d'insuline relâché par les cellules bêta n'est pas suffisant pour couvrir les besoins métaboliques corporels. Le diabète de type 1, qui représente environ 5 à 10% des cas, est une maladie auto-immune qui se caractérise par une réaction inflammatoire déclenchée par notre système immunitaire envers les cellules bêta. La conséquence de cette attaque est une disparition progressive des cellules bêta. Le diabète de type 2 est, quant à lui, largement plus répandu puisqu'il représente environ 90% des cas. Des facteurs à la fois génétiques et environnementaux sont responsables d'une diminution de la sensibilité des tissus métabolisant l'insuline, ainsi que d'une réduction de la sécrétion de l'insuline par les cellules bêta, ce qui a pour conséquence le développement de la maladie. Malgré les différences entre ces deux types de diabète, ils ont pour points communs la présence d'infiltrat immunitaire et la diminution de l'état fonctionnel des cellules bêta.¦Une meilleure compréhension des mécanismes aboutissant à l'altération de la cellule bêta est primordiale, avant de pouvoir développer de nouvelles stratégies thérapeutiques capables de guérir cette maladie. Durant ma thèse, j'ai donc étudié l'implication de petites molécules d'ARN, régulatrices de l'expression génique, appelées microARNs, dans les conditions physiopathologiques qui aboutissent au développement du diabète. J'ai débuté mon étude par l'identification de microARNs dont le niveau d'expression était modifié lorsque les cellules bêta étaient exposées à des conditions favorisant à la fois le développement du diabète de type 1 (cytokines) et celui du diabète de type 2 (palmitate). Nous avons découvert qu'une modification de l'expression des miR-21, -34a et -146a était commune aux deux traitements. Ces changements d'expressions ont également été confirmés dans deux modèles animaux : les souris NOD qui développent un diabète s'apparentant au diabète de type 1 et les souris db/db qui développent plutôt un diabète de type 2. Puis, à l'aide de puces à ADN, nous avons comparé l'expression de microARNs chez des souris NOD pré-diabétiques. Nous avons alors retrouvé des changements au niveau de l'expression des mêmes microARNs mais également au niveau d'une famille de microARNs : les miR-29a, -29b et -29c. De manière artificielle, nous avons ensuite surexprimé ou inhibé en conditions physiopathologiques l'expression de tous ces microARNs et nous nous sommes intéressés à l'impact d'un tel changement sur différentes fonctions de la cellule bêta comme la synthèse et la sécrétion d'insulinè ainsi que leur survie. Nous avons ainsi pu démontrer que les miR-21, -34a, -29a, -29b, -29c avaient un effet délétère sur la sécrétion d'insuline et que la surexpression de tous ces microARNs (excepté le miR-21) favorisait la mort. Finalement, nous avons démontré que la plupart de ces microARNs étaient impliqués dans la régulation d'importantes voies de signalisation responsables de l'apoptose des cellules bêta telles que les voies de NFKB, BCL2 ou encore JNK.¦Par conséquent, nos résultats démontrent que les microARNs ont un rôle important à jouer dans le dysfonctionnement des cellules bêta lors de la mise en place du diabète.

Alveolar macrophages and lung dendritic cells sense RNA and drive mucosal IgA responses.

The mechanisms regulating systemic and mucosal IgA responses in the respiratory tract are incompletely understood. Using virus-like particles loaded with single-stranded RNA as a ligand for TLR7, we found that systemic vs mucosal IgA responses in mice were differently regulated. Systemic IgA responses following s.c. immunization were T cell independent and did not require TACI or TGFbeta, whereas mucosal IgA production was dependent on Th cells, TACI, and TGFbeta. Strikingly, both responses required TLR7 signaling, but systemic IgA depended upon TLR7 signaling directly to B cells whereas mucosal IgA required TLR7 signaling to lung dendritic cells and alveolar macrophages. Our data show that IgA switching is controlled differently according to the cell type receiving TLR signals. This knowledge should facilitate the development of IgA-inducing vaccines.

Structured RNAs in the ENCODE selected regions of the human genome.

Functional RNA structures play an important role both in the context of noncoding RNA transcripts as well as regulatory elements in mRNAs. Here we present a computational study to detect functional RNA structures within the ENCODE regions of the human genome. Since structural RNAs in general lack characteristic signals in primary sequence, comparative approaches evaluating evolutionary conservation of structures are most promising. We have used three recently introduced programs based on either phylogenetic-stochastic context-free grammar (EvoFold) or energy directed folding (RNAz and AlifoldZ), yielding several thousand candidate structures (corresponding to approximately 2.7% of the ENCODE regions). EvoFold has its highest sensitivity in highly conserved and relatively AU-rich regions, while RNAz favors slightly GC-rich regions, resulting in a relatively small overlap between methods. Comparison with the GENCODE annotation points to functional RNAs in all genomic contexts, with a slightly increased density in 3'-UTRs. While we estimate a significant false discovery rate of approximately 50%-70% many of the predictions can be further substantiated by additional criteria: 248 loci are predicted by both RNAz and EvoFold, and an additional 239 RNAz or EvoFold predictions are supported by the (more stringent) AlifoldZ algorithm. Five hundred seventy RNAz structure predictions fall into regions that show signs of selection pressure also on the sequence level (i.e., conserved elements). More than 700 predictions overlap with noncoding transcripts detected by oligonucleotide tiling arrays. One hundred seventy-five selected candidates were tested by RT-PCR in six tissues, and expression could be verified in 43 cases (24.6%).

Recognition of RNA virus by RIG-I results in activation of CARD9 and inflammasome signaling for interleukin 1 beta production.

Interleukin 1 beta (IL-1 beta) is a potent proinflammatory factor during viral infection. Its production is tightly controlled by transcription of Il1b dependent on the transcription factor NF-kappaB and subsequent processing of pro-IL-1 beta by an inflammasome. However, the sensors and mechanisms that facilitate RNA virus-induced production of IL-1 beta are not well defined. Here we report a dual role for the RNA helicase RIG-I in RNA virus-induced proinflammatory responses. Whereas RIG-I-mediated activation of NF-kappaB required the signaling adaptor MAVS and a complex of the adaptors CARD9 and Bcl-10, RIG-I also bound to the adaptor ASC to trigger caspase-1-dependent inflammasome activation by a mechanism independent of MAVS, CARD9 and the Nod-like receptor protein NLRP3. Our results identify the CARD9-Bcl-10 module as an essential component of the RIG-I-dependent proinflammatory response and establish RIG-I as a sensor able to activate the inflammasome in response to certain RNA viruses.

Manipulating keratinocyte stem cell proliferation and differentiation using RNA interference

ABSTRACT : The epidermis, the outermost compartment of the skin, is a stratified and squamous epithelium that constantly self-renews. Keratinocytes, which represent the main epidermal population, are responsible for its cohesion and barrier function. Epidermal renewal necessitates a fine equilibrium between keratinocyte proliferation and differentiation. The keratinocyte stem cell, located in the basal cell layer, is responsible for epidermal homeostasis and regeneration during the wound healing process. The transcription factor p63 structurally belongs to the p53 superfamily. It is expressed in the basal and supra-basal cell layers of stratified epithelia and is thought to be important for the renewal or the differentiation of keratinocyte stem cells (Yang et al., 1999; Mills et al., 1999). In order to better understand its function, we established an in vitro model of p63 deficient human keratinocyte stem cells using a shp63 mediated RNA interference. Knockdown of endogenous p63 induces downregulation of cell-adhesion genes as previously described (Carroll et al., 2006). Interestingly, the replating of attached p63-knockdown keratinocytes on a feeder layer results in a loss of attachment and proliferation. They are no longer clonogenic. However, if the same population are replated in a fibrin matrix, extended fibrinolysis is reported, a common process in wound healing, suggesting that p63 regulates the fibrinolytic pathway. This result was confirmed by Q-PCR and shows that the urokinase pathway, which mediates fibrinolysis, is upregulated. Altogether, these findings suggest a mechanism in which the fine tuning of p63 expression promotes attachment or release of the keratinocyte stem cell from the basement membrane by inducing genes of adhesion and/or of fibrinolysis. This mechanism may be important for epidermal self-renewal, differentiation as well as wound healing. Its misregulation may be partly responsible for the p63 knockout phenotype. The downregulation of p63 also induces a decrease in LEKTI expression. LEKTI (lymphoepithelial Kazal-type serine protease inhibitor) is a serine protease inhibitor encoded by the Spink5 gene. It is expressed and secreted in the uppermost differentiated layers of stratified epithelia and plays a role in the desquamation process. When this gene is disrupted, humans develop the Netherton syndrome (Chavanas et al., 2000b). It is a dermatosis characterized by hair dysplasias, ichtyosiform erythroderma and impairment in epidermal barrier function promoting inflammation similarly as in psoriasis with inflammatory infiltrate in excess. TNFα (tumor necrosis factor alpha) and EDA1 (ectodysplasin A1) are two transmembraneprecursors that belong to the TNF superfamily, which is involved in immune and inflammation regulation (Smahi et al., 2002). We suggest that the secreted serine protease inhibitor LEKTI plays a role in the regulation of TNFα and EDA1 precursor cleavage and absence of LEKTI induces excess of inflammation. To investigate this hypothesis, we induced downregulation of Spink5 expression in rat keratinocyte stem cells by using a shSpink5 mediated RNA interference approach. Interestingly, expression of TNFα and EDA1 is modified after knockdown of Spink5 by Q-PCR. Moreover, downregulation of Spink5 induces loss of cohesiveness between keratinocytes and colonies adopt a scattered phenotype. Altogether, these preliminary data suggest that downregulation of LEKTI may play a role in the inflammatory response in Netherton syndrome patients, by regulating TNFα expression.