496 resultados para ribbon synapse


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Die neuronale Signalübertragung beruht auf dem synaptischen Vesikelzyklus, der durch das koordinierte Zusammenspiel von circa 400 verschiedenen Proteinen reguliert wird. Eines der Hauptproteine des synaptischen Vesikels ist Synaptophysin (SYP), das zu den tetraspan vesicle membrane proteins (TVPs) gehört. Es wird vermutet, dass es zahlreiche Funktionen der Exo- und Endozytose moduliert, wenngleich die zugrunde liegenden molekularen Mechanismen bisher größtenteils unverstanden sind. Ziel der Arbeit war daher die Identifizierung von Interaktionspartnern von SYP, um zum Verständnis der vielen ungeklärten Prozesse im synaptischen Vesikelzyklus beizutragen. Mit dem Split-Ubiquitin Yeast Two-Hybrid System, das eine direkte in vivo Interaktion von Membranproteinen erlaubt, konnten in der vorliegenden Arbeit bekannte, aber auch neue SYP-Bindungspartner identifiziert werden. Ein bekannter Interaktionspartner war Synaptobrevin2 (SYB2), das zu den stärksten im Split-Ubiquitin Y2H System identifizierten Bindeproteinen zählt. Zu den neuen starken SYP-Interaktionspartnern gehören die TVPs Synaptogyrin3 (SYNGR3) und SCAMP1. Somit konnten erstmals heterophile Interaktionen zwischen den verschiedenen TVP-Genfamilien nachgewiesen werden, die für eine universelle Funktion der TVPs sprechen. Die Validierung der im Split-Ubiquitin Y2H System ermittelten Interaktionspartner wurde auf eine Auswahl von Proteinen beschränkt, die vermutlich am synaptischen Vesikelzyklus beteiligt sind. Dabei konnte eine immunhistologische Kolokalisierung von SYP mit SYB2, SYNGR3, SCAMP1, Stathmin-like3 (STMN3), Rho family GTPase2 (RND2), Phospholipid transfer protein, Vesicle transport through interaction with t-SNAREs 1B homolog, Arfaptin2 und Profilin1 in den Synapsen-reichen Schichten der Retina beobachtet werden. Die SYP/SYB2- und SYP/SYNGR3-Komplexe konnten zudem sowohl aus Synaptosomen-Lysat als auch aus cDNA-transfizierten Epithelzellen koimmunpräzipitiert werden, wohingegen dies für die anderen Interaktionspartner nicht gelang. Da Koimmunpräzipitation die Struktur der Proteine durch Solubilisierung mit Detergenzien beeinflusst, wurden die in der Hefe beobachteten Interaktionen noch mittels Fluoreszenz-Resonanz-Energie-Transfer überprüft, mit dem Proteinwechselwirkungen in der nativen Umgebung nachgewiesen werden können. Ein positives FRET-Signal konnte für SYP mit SYB2, SYP, SYNGR3, SCAMP1, STMN3, RND2 und Arfaptin2 detektiert werden, lediglich für SYP mit Phospholipase D4 (PLD4) gelang dieser Nachweis nicht. Ferner zeigten FRET-Analysen von Synaptophysin-Mutanten, dass der zytoplasmatische C-Terminus für die Interaktion mit zytoplasmatischen und membranassoziierten Proteinen benötigt wird. Durch in vivo FRET-Studien mit der SH2-Domäne der Src-Kinase, die an phosphorylierte Tyrosine bindet, konnte eine Tyrosin-Phosphorylierung des zytoplasmatischen C-Terminus von Synaptophysin und von Synaptogyrin3 detektiert werden. Viele der neu identifizierten Synaptophysin-Interaktionspartner sind im Lipid-Metabolismus involviert. Vermutlich rekrutiert der zytoplasmatische und durch Phosphorylierung modifizierbare C-Terminus diese Partner in spezifische Lipoproteindomänen, die an der Feinabstimmung der synaptischen Vesikelendo- und -exozytose beteiligt sind.

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Aggregation oder Überexpression der Transmembran-Isoform des extrazellulären Matrix-Proteoglycans Agrin in Neuronen führt zur Bildung zahlreicher filopodienartiger Fortsätze auf Axonen und Dendriten. Ähnliche Fortsätze können auch durch Überexpression von Transmembran-Agrin in verschiedenen nicht-neuronalen Zelllinien induziert werden. Untersuchungen zu dieser Fortsatz-induzierenden Aktivität in Neuronen und nicht-neuronalen Zellen zeigen, dass der extrazelluläre Teil von Transmembran-Agrin für die Fortsatzbildung notwendig ist. In dieser Arbeit wurde mittels verschiedener Deletions- und Mutationskonstrukte der Bereich zwischen den Cysteinen C535 und C567 der siebten Follistatin-ähnlichen Domäne von Transmembran-Agrin als essentiell für die Bildung der filopodienartigen Fortsätze identifiziert. Die siebte Follistatin-ähnliche Domäne konnte durch die erste oder sechste, jedoch nicht durch die achte Follistatin-ähnliche Domäne funktionell ersetzt werden, was für eine funktionelle Redundanz bei einigen Follistatin-ähnlichen Domänen Agrins spricht. Zudem scheint eine kritische Distanz der siebten Follistatin-ähnlichen Domäne zur Plasmamembran für die Fortsatzbildung wichtig zu sein. Diese Ergebnisse zeigen, dass unterschiedliche Regionen innerhalb Agrins für die Bildung der Synapse an der neuromuskulären Endplatte und der Fortsätze im Zentralnervensystem verantwortlich sind, und deuten auf eine Funktion der Follistatin-ähnlichen Domänen Agrins bei der Entwicklung des Zentralnervensystems hin.

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Molecular self-assembly takes advantage of supramolecular non-covalent interactions (ionic, hydrophobic, van der Waals, hydrogen and coordination bonds) for the construction of organized and tunable systems. In this field, lipophilic guanosines can represent powerful building blocks thanks to their aggregation proprieties in organic solvents, which can be controlled by addition or removal of cations. For example, potassium ion can template the formation of piled G-quartets structures, while in its absence ribbon-like G aggregates are generated in solution. In this thesis we explored the possibility of using guanosines as scaffolds to direct the construction of ordered and self-assembled architectures, one of the main goals of bottom-up approach in nanotechnology. In Chapter III we will describe Langmuir-Blodgett films obtained from guanosines and other lipophilic nucleosides, revealing the “special” behavior of guanine in comparison with the other nucleobases. In Chapter IV we will report the synthesis of several thiophene-functionalized guanosines and the studies towards their possible use in organic electronics: the pre-programmed organization of terthiophene residues in ribbon aggregates could allow charge conduction through π-π stacked oligothiophene functionalities. The construction and the behavior of some simple electronic nanodevices based on these organized thiopehene-guanosine hybrids has been explored.

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Im ersten Teil dieser Doktorarbeit beabsichtigte meine Arbeit, die funktionelle Beteiligung des CB1 Rezeptors, einer Hauptkomponente des neuronalen Endocannabinoid-Systems (ECS), an der Ausbildung von verschiedenen Verhaltensphänotypen mit Hilfe von konditionalen Mausmutanten, denen der CB1 Rezeptor auf verschiedenen neuronalen Unterpopulationen fehlt, aufzuschlüsseln und zu untersuchen. Verschiedene Verhaltensmodelle wurden hierzu getestet. Dabei lag der Fokus dieser Arbeit auf der CB1f/f;D1-Cre Mauslinie, welche der CB1 Rezeptor auf den D1 Rezeptor exprimierenden Neuronen des Striatums fehlt. Ich konnte zeigen, dass der Verlust des CB1 Rezeptors auf diesen Neuronen keinen Einfluss auf basale neurologische Funktionen, Gewicht, Bewegung, Exploration, Sozialverhalten, Angst und Stressbewältigung der Tiere hat, jedoch eine Beteiligung an der Entwicklung von Suchtverhalten gegeben ist. Bei Betrachtung des Kokain-induzierten Suchtverhaltens zeigten die konditionalen Mausmutanten eine reduzierte Suchtanfälligkeit sowohl im Vergleich zu Tieren mit einem totalen CB1 Rezeptor Verlust in allen Körperzellen, als auch zu genetisch unveränderten Kontrollmäusen beider Linien.rnDes Weiteren zeigen die Ergebnisse dieser Studie eine große, aber gegensätzliche Beteiligung des ECS bei der Regulation von Exploration in Abhängigkeit des Verlustes des CB1 Rezeptors auf GABAergen Neuronen des Vorderhirns und kortikalen glutamatergen Neuronen, jedoch nicht auf striatalen Neuronen alleine. Zusätzlich war ich in der Lage, die Wichtigkeit des genetischen Hintergrunds von Mauslinien nicht nur auf die Ausbildung von spezifischen Verhaltensphänotypen, sondern auch auf die Genexpression zu zeigen.rnIn dem zweiten Teil dieser Arbeit, in dem ich mich auf die Funktion von Gliazellen konzentrierte, wurden ebenfalls Mausmutanten in verschiedenen Verhaltensmodellen getestet. Ein genetisches Auslöschen des NG2 Glykoproteins in Gliazellen sorgt in den Knock-out Mäusen für ein schlechteres Hörvermögen und ein reduziertes Depressionsverhalten im Vergleich zu ihren Wildtyp-Kontrollmäusen. Interessanterweise zeigten diese Tiere auch eine reduzierte Empfänglichkeit bei chemisch induzierten epileptischen Krämpfen, was eine Rolle des NG2 Glykoproteins bei der Kontrolle der glutamatergen Homöostase vorschlägt, die wahrscheinlich durch Strukturänderungen der Neuron-Glia-Synapse verursacht wird. rn

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Graphene nanoribbons (GNRs), which are defined as nanometer-wide strips of graphene, are attracting an increasing attention as one on the most promising materials for future nanoelectronics. Unlike zero-bandgap graphene that cannot be switched off in transistors, GNRs possess open bandgaps that critically depend on their width and edge structures. GNRs were predominantly prepared through “top-down” methods such as “cutting” of graphene and “unzipping” of carbon nanotubes, but these methods cannot precisely control the structure of the resulting GNRs. In contrast, “bottom-up” chemical synthetic approach enables fabrication of structurally defined and uniform GNRs from tailor-made polyphenylene precursors. Nevertheless, width and length of the GNRs obtainable by this method were considerably limited. In this study, lateral as well as longitudinal extensions of the GNRs were achieved while preserving the high structural definition, based on the bottom-up solution synthesis. Initially, wider (~2 nm) GNRs were synthesized by using laterally expanded monomers through AA-type Yamamoto polymerization, which proved more efficient than the conventional A2B2-type Suzuki polymerization. The wider GNRs showed broad absorption profile extending to the near-infrared region with a low optical bandgap of 1.12 eV, which indicated a potential of such GNRs for the application in photovoltaic cells. Next, high longitudinal extension of narrow (~1 nm) GNRs over 600 nm was accomplished based on AB-type Diels–Alder polymerization, which provided corresponding polyphenylene precursors with the weight-average molecular weight of larger than 600,000 g/mol. Bulky alkyl chains densely installed on the peripheral positions of these GNRs enhanced their liquid-phase processability, which allowed their formation of highly ordered self-assembled monolayers. Furthermore, non-contact time-resolved terahertz spectroscopy measurements demonstrated high charge-carrier mobility within individual GNRs. Remarkably, lateral extension of the AB-type monomer enabled the fabrication of wider (~2 nm) and long (>100 nm) GNRs through the Diels–Alder polymerization. Such longitudinally extended and structurally well-defined GNRs are expected to allow the fabrication of single-ribbon transistors for the fundamental studies on the electronic properties of the GNRs as well as contribute to the development of future electronic devices.

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Im Fokus dieser Studie stehen die zu den Gliazellen zählenden OPC, sowie das von diesen exprimierte Typ-1 Membranprotein NG2. Dieses wird auf eine Prozessierung durch α- und γ-Sekretase, in Analogie zu Proteinen wie Notch oder APP, untersucht.rnEine solche Prozessierung ginge mit zusätzlichen intrazellulären Spaltprodukten neben der bekannten Ektodomäne einher. Da OPC mit dem Neuronalen Netzwerk durch synaptische Innervierungen in Verbindung stehen, stellt sich die Frage, ob diese mit der Spaltung von NG2 in Verbindung gebracht werden können. Dazu käme mechanistisch beispielsweise eine aktivitätsabhängige Regulierung der Proteolyse, wie sie jüngst für das neuronale synaptische cell adhesion molecule Neuroligin gezeigt werden konnte, in Frage. Zudem werden eine physiologische Rolle der NG2 Ektodomäne bzw. der möglichen intrazellulären Fragmente untersuchen. Insbesondere potentielle neuromodulatorische Funktionen sind hier von Interesse, da diese die OPC tiefer in das Neuronale Netzwerk integrieren würden. Die Existenz eines NG2 Homologes in D. melanogaster, wirft weiterhin die Frage auf, in wie weit diese Mechanismen in diesem Modellsystem konserviert sind.rnIn Analogie zur Lokalisierung von Markerproteinen an Neuron-Neuron Synapsen in vivo, ergibt sich die Frage ob sich die synaptischen Verbindungen zwischen Neuronen und OPC in ähnlicher Weise darstellen lassen.rnEin Charakteristikum von OPC ist die Teilungsaktivität in sich entwickelnden und adulten Säugern. Zudem gibt es Evidenzen für direkte funktionelle Verknüpfungen zwischen dem NG2 Protein und dem Teilungsmodus der OPC. Deshalb war ein weiteres Ziel mögliche Änderungen in der Zellteilung der OPC, die mit dem NG2 Protein in Verbindung stehen könnten, in NG2 -/- Mäusen zu untersuchen.rn

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Learning by reinforcement is important in shaping animal behavior, and in particular in behavioral decision making. Such decision making is likely to involve the integration of many synaptic events in space and time. However, using a single reinforcement signal to modulate synaptic plasticity, as suggested in classical reinforcement learning algorithms, a twofold problem arises. Different synapses will have contributed differently to the behavioral decision, and even for one and the same synapse, releases at different times may have had different effects. Here we present a plasticity rule which solves this spatio-temporal credit assignment problem in a population of spiking neurons. The learning rule is spike-time dependent and maximizes the expected reward by following its stochastic gradient. Synaptic plasticity is modulated not only by the reward, but also by a population feedback signal. While this additional signal solves the spatial component of the problem, the temporal one is solved by means of synaptic eligibility traces. In contrast to temporal difference (TD) based approaches to reinforcement learning, our rule is explicit with regard to the assumed biophysical mechanisms. Neurotransmitter concentrations determine plasticity and learning occurs fully online. Further, it works even if the task to be learned is non-Markovian, i.e. when reinforcement is not determined by the current state of the system but may also depend on past events. The performance of the model is assessed by studying three non-Markovian tasks. In the first task, the reward is delayed beyond the last action with non-related stimuli and actions appearing in between. The second task involves an action sequence which is itself extended in time and reward is only delivered at the last action, as it is the case in any type of board-game. The third task is the inspection game that has been studied in neuroeconomics, where an inspector tries to prevent a worker from shirking. Applying our algorithm to this game yields a learning behavior which is consistent with behavioral data from humans and monkeys, revealing themselves properties of a mixed Nash equilibrium. The examples show that our neuronal implementation of reward based learning copes with delayed and stochastic reward delivery, and also with the learning of mixed strategies in two-opponent games.

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Learning by reinforcement is important in shaping animal behavior. But behavioral decision making is likely to involve the integration of many synaptic events in space and time. So in using a single reinforcement signal to modulate synaptic plasticity a twofold problem arises. Different synapses will have contributed differently to the behavioral decision and, even for one and the same synapse, releases at different times may have had different effects. Here we present a plasticity rule which solves this spatio-temporal credit assignment problem in a population of spiking neurons. The learning rule is spike time dependent and maximizes the expected reward by following its stochastic gradient. Synaptic plasticity is modulated not only by the reward but by a population feedback signal as well. While this additional signal solves the spatial component of the problem, the temporal one is solved by means of synaptic eligibility traces. In contrast to temporal difference based approaches to reinforcement learning, our rule is explicit with regard to the assumed biophysical mechanisms. Neurotransmitter concentrations determine plasticity and learning occurs fully online. Further, it works even if the task to be learned is non-Markovian, i.e. when reinforcement is not determined by the current state of the system but may also depend on past events. The performance of the model is assessed by studying three non-Markovian tasks. In the first task the reward is delayed beyond the last action with non-related stimuli and actions appearing in between. The second one involves an action sequence which is itself extended in time and reward is only delivered at the last action, as is the case in any type of board-game. The third is the inspection game that has been studied in neuroeconomics. It only has a mixed Nash equilibrium and exemplifies that the model also copes with stochastic reward delivery and the learning of mixed strategies.

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In this study, we evaluated the in vivo characteristics of a new monoamine oxidase type B (MAO-B) radioligand, [¹⁸F]fluorodeprenyl, by positron emission tomography (PET) in two cynomolgus monkeys. The brain uptake of [¹⁸F]fluorodeprenyl was more than 7% (600% SUV) of the total injected radioactivity and similar to that of [¹¹C]deprenyl, an established MAO-B radioligand. The highest uptake was observed in the striatum, one of the MAO-B-rich regions, with a peak at approximately 2-3 min after injection, followed by lower uptake in the thalamus and the cortex and lowest uptake in the cerebellum. Brain uptake of [¹⁸F]fluorodeprenyl was largely inhibited by preadministration of the MAO-B inhibitor, L-deprenyl, whereas clorgyline, a MAO Type A blocker, had no significant inhibitory effect, thus demonstrating selectivity for MAO-B. [¹⁸F]Fluorodeprenyl showed relatively slow metabolism with the presence of two radiometabolite peaks with similar retention time as the labeled metabolites of [¹¹C]deprenyl. These results suggest that [¹⁸F]fluorodeprenyl is a potential PET radioligand for visualization of MAO-B activity.

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Far from being static transmission units, synapses are highly dynamical elements that change over multiple time scales depending on the history of the neural activity of both the pre- and postsynaptic neuron. Moreover, synaptic changes on different time scales interact: long-term plasticity (LTP) can modify the properties of short-term plasticity (STP) in the same synapse. Most existing theories of synaptic plasticity focus on only one of these time scales (either STP or LTP or late-LTP) and the theoretical principles underlying their interactions are thus largely unknown. Here we develop a normative model of synaptic plasticity that combines both STP and LTP and predicts specific patterns for their interactions. Recently, it has been proposed that STP arranges for the local postsynaptic membrane potential at a synapse to behave as an optimal estimator of the presynaptic membrane potential based on the incoming spikes. Here we generalize this approach by considering an optimal estimator of a non-linear function of the membrane potential and the long-term synaptic efficacy—which itself may be subject to change on a slower time scale. We find that an increase in the long-term synaptic efficacy necessitates changes in the dynamics of STP. More precisely, for a realistic non-linear function to be estimated, our model predicts that after the induction of LTP, causing long-term synaptic efficacy to increase, a depressing synapse should become even more depressing. That is, in a protocol using trains of presynaptic stimuli, as the initial EPSP becomes stronger due to LTP, subsequent EPSPs should become weakened and this weakening should be more pronounced with LTP. This form of redistribution of synaptic efficacies agrees well with electrophysiological data on synapses connecting layer 5 pyramidal neurons.

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One quadrillion synapses are laid in the first two years of postnatal construction of the human brain, which are then pruned until age 10 to 500 trillion synapses composing the final network. Genetic epilepsies are the most common neurological diseases with onset during pruning, affecting 0.5% of 2-10-year-old children, and these epilepsies are often characterized by spontaneous remission. We previously described a remitting epilepsy in the Lagotto romagnolo canine breed. Here, we identify the gene defect and affected neurochemical pathway. We reconstructed a large Lagotto pedigree of around 34 affected animals. Using genome-wide association in 11 discordant sib-pairs from this pedigree, we mapped the disease locus to a 1.7 Mb region of homozygosity in chromosome 3 where we identified a protein-truncating mutation in the Lgi2 gene, a homologue of the human epilepsy gene LGI1. We show that LGI2, like LGI1, is neuronally secreted and acts on metalloproteinase-lacking members of the ADAM family of neuronal receptors, which function in synapse remodeling, and that LGI2 truncation, like LGI1 truncations, prevents secretion and ADAM interaction. The resulting epilepsy onsets at around seven weeks (equivalent to human two years), and remits by four months (human eight years), versus onset after age eight in the majority of human patients with LGI1 mutations. Finally, we show that Lgi2 is expressed highly in the immediate post-natal period until halfway through pruning, unlike Lgi1, which is expressed in the latter part of pruning and beyond. LGI2 acts at least in part through the same ADAM receptors as LGI1, but earlier, ensuring electrical stability (absence of epilepsy) during pruning years, preceding this same function performed by LGI1 in later years. LGI2 should be considered a candidate gene for common remitting childhood epilepsies, and LGI2-to-LGI1 transition for mechanisms of childhood epilepsy remission.

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Synapses of hippocampal neurons play important roles in learning and memory processes and are involved in aberrant hippocampal function in temporal lobe epilepsy. Major neuronal types in the hippocampus as well as their input and output synapses are well known, but it has remained an open question to what extent conventional electron microscopy (EM) has provided us with the real appearance of synaptic fine structure under in vivo conditions. There is reason to assume that conventional aldehyde fixation and dehydration lead to protein denaturation and tissue shrinkage, likely associated with the occurrence of artifacts. However, realistic fine-structural data of synapses are required for our understanding of the transmission process and for its simulation. Here, we used high-pressure freezing and cryosubstitution of hippocampal tissue that was not subjected to aldehyde fixation and dehydration in ethanol to monitor the fine structure of an identified synapse in the hippocampal CA3 region, that is, the synapse between granule cell axons, the mossy fibers, and the proximal dendrites of CA3 pyramidal neurons. Our results showed that high-pressure freezing nicely preserved ultrastructural detail of this particular synapse and allowed us to study rapid structural changes associated with synaptic plasticity.

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We study synaptic plasticity in a complex neuronal cell model where NMDA-spikes can arise in certain dendritic zones. In the context of reinforcement learning, two kinds of plasticity rules are derived, zone reinforcement (ZR) and cell reinforcement (CR), which both optimize the expected reward by stochastic gradient ascent. For ZR, the synaptic plasticity response to the external reward signal is modulated exclusively by quantities which are local to the NMDA-spike initiation zone in which the synapse is situated. CR, in addition, uses nonlocal feedback from the soma of the cell, provided by mechanisms such as the backpropagating action potential. Simulation results show that, compared to ZR, the use of nonlocal feedback in CR can drastically enhance learning performance. We suggest that the availability of nonlocal feedback for learning is a key advantage of complex neurons over networks of simple point neurons, which have previously been found to be largely equivalent with regard to computational capability.

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Agrin, an extracellular matrix protein belonging to the heterogeneous family of heparan sulfate proteoglycans (HSPGs), is expressed by cells of the hematopoietic system but its role in leukocyte biology is not yet clear. Here we demonstrate that agrin has a crucial, nonredundant role in myeloid cell development and functions. We have identified lineage-specific alterations that affect maturation, survival and properties of agrin-deficient monocytic cells, and occur at stages later than stem cell precursors. Our data indicate that the cell-autonomous signals delivered by agrin are sensed by macrophages through the α-DC (DG) receptor and lead to the activation of signaling pathways resulting in rearrangements of the actin cytoskeleton during the phagocytic synapse formation and phosphorylation of extracellular signal-regulated kinases (Erk 1/2). Altogether, these data identify agrin as a novel player of innate immunity.

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Neuroligins (NLs) constitute a family of cell-surface proteins that interact with neurexins (beta-Nxs), another class of neuronal cell-surface proteins, one of each class functioning together in synapse formation. The localization of the various neurexins and neuroligins, however, has not yet been clarified in chicken. Therefore, we studied the expression patterns of neurexin-1 (Nx-1) and neuroligin-1 and -3 during embryonic development of the chick retina and brain by reverse-transcriptase polymerase chain reaction (RT-PCR) and in situ hybridization (ISH). While neurexin-1 increased continuously in both brain and retina, the expression of both neuroligins was more variable. As shown by ISH, Nx-1 is expressed in the inner half retina along with differentiation of ganglion and amacrine cells. Transcripts of NL-1 were detected as early as day 4 and increased with the maturation of the different brain regions. In different brain regions, NL-1 showed a different time regulation. Remarkably, neuroligin-3 was entirely absent in retina. This study indicates that synaptogenetic processes in brain and retina use different molecular machineries, whereby the neuroligins might represent the more distinctly regulated part of the neurexin-neuroligin complexes. Noticeably, NL-3 does not seem to be involved in the making of retinal synapses.