Estrogen receptor regulates MyoD gene expression by preventing AP-1-mediated repression.

Cell growth and differentiation are opposite events in the myogenic lineage. Growth factors block the muscle differentiation program by inducing the expression of transcription factors that negatively regulate the expression of muscle regulatory genes like MyoD. In contrast, extracellular clues that induce cell cycle arrest promote MyoD expression and muscle differentiation. Thus, the regulation of MyoD expression is critical for muscle differentiation. Here we show that estrogen induces MyoD expression in mouse skeletal muscle in vivo and in dividing myoblasts in vitro by relieving the MyoD promoter from AP-1 negative regulation through a mechanism involving estrogen receptor/AP-1 protein-protein interactions but independent of the estrogen receptor DNA binding activity.

Cholesterol and sphingomyelin drive ligand-independent T-cell antigen receptor nanoclustering.

The T-cell antigen receptor (TCR) exists in monomeric and nanoclustered forms independently of antigen binding. Although the clustering is involved in the regulation of T-cell sensitivity, it is unknown how the TCR nanoclusters form. We show that cholesterol is required for TCR nanoclustering in T cells and that this clustering enhances the avidity but not the affinity of the TCR-antigen interaction. Investigating the mechanism of the nanoclustering, we found that radioactive photocholesterol specifically binds to the TCRβ chain in vivo. In order to reduce the complexity of cellular membranes, we used a synthetic biology approach and reconstituted the TCR in liposomes of defined lipid composition. Both cholesterol and sphingomyelin were required for the formation of TCR dimers in phosphatidylcholine-containing large unilamellar vesicles. Further, the TCR was localized in the liquid disordered phase in giant unilamellar vesicles. We propose a model in which cholesterol and sphingomyelin binding to the TCRβ chain causes TCR dimerization. The lipid-induced TCR nanoclustering enhances the avidity to antigen and thus might be involved in enhanced sensitivity of memory compared with naive T cells. Our work contributes to the understanding of the function of specific nonannular lipid-membrane protein interactions.

Synchronous versus asynchronous modeling of gene regulatory networks.

MOTIVATION: In silico modeling of gene regulatory networks has gained some momentum recently due to increased interest in analyzing the dynamics of biological systems. This has been further facilitated by the increasing availability of experimental data on gene-gene, protein-protein and gene-protein interactions. The two dynamical properties that are often experimentally testable are perturbations and stable steady states. Although a lot of work has been done on the identification of steady states, not much work has been reported on in silico modeling of cellular differentiation processes. RESULTS: In this manuscript, we provide algorithms based on reduced ordered binary decision diagrams (ROBDDs) for Boolean modeling of gene regulatory networks. Algorithms for synchronous and asynchronous transition models have been proposed and their corresponding computational properties have been analyzed. These algorithms allow users to compute cyclic attractors of large networks that are currently not feasible using existing software. Hereby we provide a framework to analyze the effect of multiple gene perturbation protocols, and their effect on cell differentiation processes. These algorithms were validated on the T-helper model showing the correct steady state identification and Th1-Th2 cellular differentiation process. AVAILABILITY: The software binaries for Windows and Linux platforms can be downloaded from http://si2.epfl.ch/~garg/genysis.html.

SAMHD1 is mutated recurrently in chronic lymphocytic leukemia and is involved in response to DNA damage.

SAMHD1 is a deoxynucleoside triphosphate triphosphohydrolase and a nuclease that restricts HIV-1 in noncycling cells. Germ-line mutations in SAMHD1 have been described in patients with Aicardi-Goutières syndrome (AGS), a congenital autoimmune disease. In a previous longitudinal whole genome sequencing study of chronic lymphocytic leukemia (CLL), we revealed a SAMHD1 mutation as a potential founding event. Here, we describe an AGS patient carrying a pathogenic germ-line SAMHD1 mutation who developed CLL at 24 years of age. Using clinical trial samples, we show that acquired SAMHD1 mutations are associated with high variant allele frequency and reduced SAMHD1 expression and occur in 11% of relapsed/refractory CLL patients. We provide evidence that SAMHD1 regulates cell proliferation and survival and engages in specific protein interactions in response to DNA damage. We propose that SAMHD1 may have a function in DNA repair and that the presence of SAMHD1 mutations in CLL promotes leukemia development.

Estudis estructurals dels canvis conformacionals de les E3 ubiquitin lligases per RMN

L'estudi a nivell molecular de la ruta de senyalització activada per TGF-B té un impacte notable en el panorama actual donada la seva implicació en processos autoimmunitaris i carcinogènics. D'altra banda, l'elucidació a nivell estructural dels mecanismes moleculars que permeten a les ubiquitin lligases de tipus E3 marcar específicament llurs dianes per a la degradació proteosòmica - entre d'altres - resulta fonamental donada la seva importància pel que fa al control sobre el turnover proteic a nivell intracel•lular. En aquest projecte es pretén elucidar els mecanismes d'activació i catlàlisi de les ubiquitin lligases E3 tipus HECT Smurf1 i Nedd4L al mateix temps que se n'estudia la implicació en la regulació dels agents missatgers de la ruta del TGF-B. Així, la tasca es divideix en tres sub-projectes els quals se centren en a) l'estudi de la interacció d'aquestes lligases amb llurs dianes; b) l'elucidació del mecanisme d'activació i c) del de catàlisi d'aquests enzims. Per tal d'assolir aquests objectius ens servim principalment dels avantatges que ens aporta la Ressonància Magnètica Nuclear i altres tècniques biofísiques, principalment la ITC. Durant el temps que he gaudit de la beca FI, m'he centrat principalment en la preparació de pèptids per SPPS, llur purificació per HPLC i caracterització per MS i RMN. Aquests pèptids representen diferents patrons de fosforilació de certes dianes de les lligases esmentades, de manera que han estat emprats per a l'estudi d'interaccions proteïna-proteïna per ITC i RMN. M'he iniciat doncs en l'ús d'aquestes tècniques. D'altra banda, també he preparat mostres protèiques mitjançant l'ús de sistemes d'expressió bacterians basats en E.coli, incloent l'amplificació i clonació del gen que codifica per la proteïna d'interés així com la seva expressió, purificació i caracterització per MS i RMN.

Proteomics of blood and derived products: what's next?

Proteomics has changed the way proteins are analyzed in living systems. This approach has been applied to blood products and protein profiling has evolved in parallel with the development of techniques. The identification of proteins belonging to red blood cell, platelets or plasma was achieved at the end of the last century. Then, the questions on the applications emerged. Hence, several studies have focused on problems related to blood banking and products, such as the aging of blood products, identification of biomarkers, related diseases and the protein-protein interactions. More recently, a mass spectrometry-based proteomics approach to quality control has been applied in order to offer solutions and improve the quality of blood products. The current challenge we face is developing a closer relationship between transfusion medicine and proteomics. In this article, these issues will be approached by focusing first on the proteome identification of blood products and then on the applications and future developments within the field of proteomics and blood products.

The role of CTCFL/BORIS in Meiosis

The complexity of mammalian genome organization demands a complex interplay of DNA and proteins to orchestrate proper gene regulation. CTCF, a highly conserved, ubiquitously expressed protein has been postulated as a primary organizer of genome architecture because of its roles in transcriptional activation/repression, insulation and imprinting. Diverse regulatory functions are exerted through genome wide binding via a central eleven zinc finger DNA binding domain and an array of diverse protein-protein interactions through N- and C- terminal domains. CTCFL has been identified as a paralog of CTCF expressed only in spermatogenic cells of the testis. CTCF and CTCFL have a highly homologous DNA-binding domain, while the flanking amino acid sequences exhibit no significant similarity. Genome- wide mapping of CTCF binding sites has been carried out in many cell types, but no data exist for CTCFL apart from a few identified loci. The lack of high quality antibodies prompted us to generate an endogenously flag-tagged CTCFL mouse model using BAC recombination. IHC staining using anti-flag antibodies confirmed CTCFL localization to type Β spermatogonia and preleptotene spermatocytes and a mutually exclusive pattern of expression with CTCF. ChIP followed by high-throughput sequencing identified 10,382 binding sites showing 70% overlap but representing only 20% of CTCF sites. Consensus sequence analysis identified a significantly longer binding motif with prominently less ambiguity of base calling at every position. The significant difference between CTCF and CTCFL genomic binding patterns proposes that their binding to DNA is differentially regulated. Analysis of CTCFL binding to methylated regions on a genome wide scale identified approximately 1,000 loci. Methylation-independent binding of CTCFL might be at least one of the mechanisms that ensures distinct binding patterns of CTCF and CTCFL since CTCF binding is methylation- sensitive. Co-localization of CTCF with cohesin has been well established and analysis of CTCFL and SMC3 overlap identified around 3,300 binding sites from which two related but distinct consensus sequence motifs were derived. Because virtually all data for cohesin binding originate from mitotically proliferating cells, the anticipated overlap is expected to be considerably higher in meiotic cells. Meiosis-specific cohesin subunit Rec8 is specific for spermatocytes and 6 out of the 12 identified binding sites are also bound by CTCFL. In conclusion, this was the first genome-wide mapping of CTCFL binding sites in spermatocytes, the only cell type where CTCF is not expressed. CTCFL has a unique binding site repertoire distinct from CTCF, binds to methylated sequences and shows a significant overlap with cohesin binding sites. Future efforts will be oriented towards deciphering the role CTCFL plays in conversion of chromatin structure and function from mitotic to meiotic chromosomes. - La complexité de l'organisation du génome des mammifères exige une interaction particulière entre ADN et protéines pour orchestrer une régulation appropriée de l'expression des gènes. CTCFL, une protéine ubiquitaire très conservée, serait le principal organisateur de l'architecture du génome de par son rôle dans l'activation / la répression de la transcription, la protection et la localisation des gènes. Diverses régulations sont opérées, d'une part au travers d'interactions à différents endroits du génome par le biais d'un domaine protéique central de liaison à l'ADN à onze doigts de zinc, et d'autre part par des interactions protéine-protéine variées au niveau de leur domaine N- et C-terminal. CTCFL a été identifié comme un paralogue de CTCF exprimé uniquement dans les cellules spermatiques du testicule. CTCFL et CTCF ont un domaine de liaison à l'ADN très homologue, tandis que les séquences d'acides aminés situées de part et d'autre de ce domaine ne présentent aucune similitude. Une cartographie générale des sites de liaison au CTCF a été réalisée pour de nombreux types cellulaires, mais il n'existe aucune donnée pour CTCFL à l'exception de l'identification de quelques loci. L'absence d'anticorps de bonne qualité nous a conduit à générer un modèle murin portant un CTCFL endogène taggué grâce à un procédé de recombinaison BAC. Une coloration IHC à l'aide d'anticorps anti-FLAG a confirmé la présence de CTCFL au niveau des spermatogonies de type Β et des spermatocytes au stade préleptotène, et une distribution mutuellement exclusive avec CTCF. Une méthode de Chromatine Immunoprecipitation (ChIP) suivie d'un séquençage à haut débit a permis d'identifier 10.382 sites de liaison montrant 70% d'homologie mais ne représentant que 20% des sites CTCF. L'analyse de la séquence consensus révèle un motif de fixation à l'ADN nettement plus long et qui comporte bien moins de bases aléatoires à chaque position nucléotidique. La différence significative entre les séquences génomiques des sites de liaison au CTCF et CTCFL suggère que leur fixation à l'ADN est régulée différemment. Appliquée à l'échelle du génome, l'étude de l'interaction de CTCFL avec des régions méthylées de l'ADN a permis d'identifier environ 1.000 loci. Contrairement à CTCFL, la liaison de CTCF dépend de l'état de méthylation de l'ADN ; cette modification épigénétique constitue donc au moins un des mécanismes de régulation expliquant une localisation de CTCF et CTCFL à des sites distincts du génome. La co- localisation de CTCF avec la cohésine étant établie, l'analyse de la superposition des séquences de CTCFL avec la sous-unité SMC3 identifie environ 3.300 sites de liaison parmi lesquels deux mêmes motifs consensus distincts par leur séquence sont mis en évidence. La presque quasi-totalité des données sur la cohésine ayant été établie à partir de cellules en prolifération mitotique, il est probable que la similitude au sein des séquences consensus soit encore plus grande dans le cas des cellules en méiose. La sous-unité Rec8 de la cohésine propre à l'état de méiose est spécifiquement exprimée dans les spermatocytes. Or 6 des 12 sites de liaison identifiés sont également utilisés par CTCFL. Pour conclure, ce travail constitue la première cartographie à l'échelle du génome des sites de liaison de CTCFL dans les spermatocytes, seul type cellulaire où CTCFL n'est pas exprimé. CTCFL possède un répertoire unique de sites de fixation à l'ADN distinct de CTCF, se lie à des séquences méthylées et présente un nombre important de sites de liaison communs avec la cohésine. Les perspectives futures sont d'élucider le rôle de CTCFL dans le remodelage de la structure de la chromatine et de définir sa fonction dans le processus de méiose.

Regulation of endothelial derived nitric oxide in health and disease

Endothelial nitric oxide synthase (eNOS) is the primary physiological source of nitric oxide (NO) that regulates cardiovascular homeostasis. Historically eNOS has been thought to be a constitutively expressed enzyme regulated by calcium and calmodulin. However, in the last five years it is clear that eNOS activity and NO release can be regulated by post-translational control mechanisms (fatty acid modification and phosphorylation) and protein-protein interactions (with caveolin-1 and heat shock protein 90) that direct impinge upon the duration and magnitude of NO release. This review will summarize this information and apply the post-translational control mechanisms to disease states.

Cloning and molecular characterization of Trypanosoma cruzi U2, U4, U5, and U6 small nuclear RNAs

Small nuclear RNAs (snRNAs) are important factors in the functioning of eukaryotic cells that form several small complexes with proteins; these ribonucleoprotein particles (U snRNPs) have an essential role in the pre-mRNA processing, particularly in splicing, catalyzed by spliceosomes, large RNA-protein complexes composed of various snRNPs. Even though they are well defined in mammals, snRNPs are still not totally characterized in certain trypanosomatids as Trypanosoma cruzi. For this reason we subjected snRNAs (U2, U4, U5, and U6) from T. cruzi epimastigotes to molecular characterization by polymerase chain reaction (PCR) and reverse transcription-PCR. These amplified sequences were cloned, sequenced, and compared with those other of trypanosomatids. Among these snRNAs, U5 was less conserved and U6 the most conserved. Their respective secondary structures were predicted and compared with known T. brucei structures. In addition, the copy number of each snRNA in the T. cruzi genome was characterized by Southern blotting.

Phosphorylation of Phytochrome B Inhibits Light-Induced Signaling via Accelerated Dark Reversion in Arabidopsis.

The photoreceptor phytochrome B (phyB) interconverts between the biologically active Pfr (λmax = 730 nm) and inactive Pr (λmax = 660 nm) forms in a red/far-red-dependent fashion and regulates, as molecular switch, many aspects of light-dependent development in Arabidopsis thaliana. phyB signaling is launched by the biologically active Pfr conformer and mediated by specific protein-protein interactions between phyB Pfr and its downstream regulatory partners, whereas conversion of Pfr to Pr terminates signaling. Here, we provide evidence that phyB is phosphorylated in planta at Ser-86 located in the N-terminal domain of the photoreceptor. Analysis of phyB-9 transgenic plants expressing phospho-mimic and nonphosphorylatable phyB-yellow fluorescent protein (YFP) fusions demonstrated that phosphorylation of Ser-86 negatively regulates all physiological responses tested. The Ser86Asp and Ser86Ala substitutions do not affect stability, photoconversion, and spectral properties of the photoreceptor, but light-independent relaxation of the phyB(Ser86Asp) Pfr into Pr, also termed dark reversion, is strongly enhanced both in vivo and in vitro. Faster dark reversion attenuates red light-induced nuclear import and interaction of phyB(Ser86Asp)-YFP Pfr with the negative regulator PHYTOCHROME INTERACTING FACTOR3 compared with phyB-green fluorescent protein. These data suggest that accelerated inactivation of the photoreceptor phyB via phosphorylation of Ser-86 represents a new paradigm for modulating phytochrome-controlled signaling.

Identification of peptide ligands to the chemokine receptor CCR5 and their maturation by gene shuffling.

The determination of protein-protein interactions and their role in diverse pathophysiological processes is a promising approach to the identification of molecules of therapeutic potential. This paper describes the identification of peptidic CCR5 receptor ligands as potential drug leads against HIV-1 infection using in vitro evolution based on phage display. A phage-displayed peptide library was used to select for anti-CCR5 peptide. Further in vitro evolution of the peptide by exon shuffling was performed to identify peptides with optimized characteristics for CCR5 receptor. This peptide inhibited HIV coreceptor activity in a cell fusion assay with an IC50 of 5 microM. It did not exhibit either agonistic or antagonistic activity on CCR5 in the concentration range used. To our knowledge, this is a first report that describes the identification of peptide ligands specific to the CCR5 receptor from a phage-displayed library and the maturation of the selected peptide sequence by gene shuffling.

Physiology of iron metabolism.

A revolution occurred during the last decade in the comprehension of the physiology as well as in the physiopathology of iron metabolism. The purpose of this review is to summarize the recent knowledge that has accumulated, allowing a better comprehension of the mechanisms implicated in iron homeostasis. Iron metabolism is very fine tuned. The free molecule is very toxic; therefore, complex regulatory mechanisms have been developed in mammalian to insure adequate intestinal absorption, transportation, utilization, and elimination. 'Ironomics' certainly will be the future of the understanding of genes as well as of the protein-protein interactions involved in iron metabolism.

Light-regulated plant growth and development.

Plants are sessile and photo-autotrophic; their entire life cycle is thus strongly influenced by the ever-changing light environment. In order to sense and respond to those fluctuating conditions higher plants possess several families of photoreceptors that can monitor light from UV-B to the near infrared (far-red). The molecular nature of UV-B sensors remains unknown, red (R) and far-red (FR) light is sensed by the phytochromes (phyA-phyE in Arabidopsis) while three classes of UV-A/blue photoreceptors have been identified: cryptochromes, phototropins, and members of the Zeitlupe family (cry1, cry2, phot1, phot2, ZTL, FKF1, and LKP2 in Arabidopsis). Functional specialization within photoreceptor families gave rise to members optimized for a wide range of light intensities. Genetic and photobiological studies performed in Arabidopsis have shown that these light sensors mediate numerous adaptive responses (e.g., phototropism and shade avoidance) and developmental transitions (e.g., germination and flowering). Some physiological responses are specifically triggered by a single photoreceptor but in many cases multiple light sensors ensure a coordinated response. Recent studies also provide examples of crosstalk between the responses of Arabidopsis to different external factors, in particular among light, temperature, and pathogens. Although the different photoreceptors are unrelated in structure, in many cases they trigger similar signaling mechanisms including light-regulated protein-protein interactions or light-regulated stability of several transcription factors. The breath and complexity of this topic forced us to concentrate on specific aspects of photomorphogenesis and we point the readers to recent reviews for some aspects of light-mediated signaling (e.g., transition to flowering).

Predicting cancer involvement of genes from heterogeneous data

Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characterize cancer, but validating their results can be a laborious task. Computational approaches are used to prioritize between genes putatively involved in cancer, usually based on further analyzing experimental data. Results: We implemented a systematic method using the PIANA software that predicts cancer involvement of genes by integrating heterogeneous datasets. Specifically, we produced lists of genes likely to be involved in cancer by relying on: (i) protein-protein interactions; (ii) differential expression data; and (iii) structural and functional properties of cancer genes. The integrative approach that combines multiple sources of data obtained positive predictive values ranging from 23% (on a list of 811 genes) to 73% (on a list of 22 genes), outperforming the use of any of the data sources alone. We analyze a list of 20 cancer gene predictions, finding that most of them have been recently linked to cancer in literature. Conclusion: Our approach to identifying and prioritizing candidate cancer genes can be used to produce lists of genes likely to be involved in cancer. Our results suggest that differential expression studies yielding high numbers of candidate cancer genes can be filtered using protein interaction networks.

Making sense of AMPA receptor trafficking by modeling molecular mechanisms of synaptic plasticity.

Synaptic plasticity involves a complex molecular machinery with various protein interactions but it is not yet clear how its components give rise to the different aspects of synaptic plasticity. Here we ask whether it is possible to mathematically model synaptic plasticity by making use of known substances only. We present a model of a multistable biochemical reaction system and use it to simulate the plasticity of synaptic transmission in long-term potentiation (LTP) or long-term depression (LTD) after repeated excitation of the synapse. According to our model, we can distinguish between two phases: first, a "viscosity" phase after the first excitation, the effects of which like the activation of NMDA receptors and CaMKII fade out in the absence of further excitations. Second, a "plasticity" phase actuated by an identical subsequent excitation that follows after a short time interval and causes the temporarily altered concentrations of AMPA subunits in the postsynaptic membrane to be stabilized. We show that positive feedback is the crucial element in the core chemical reaction, i.e. the activation of the short-tail AMPA subunit by NEM-sensitive factor, which allows generating multiple stable equilibria. Three stable equilibria are related to LTP, LTD and a third unfixed state called ACTIVE. Our mathematical approach shows that modeling synaptic multistability is possible by making use of known substances like NMDA and AMPA receptors, NEM-sensitive factor, glutamate, CaMKII and brain-derived neurotrophic factor. Furthermore, we could show that the heteromeric combination of short- and long-tail AMPA receptor subunits fulfills the function of a memory tag.