RESUMEN
Global biological datasets generated by genomics, transcriptomics, and proteomics provide new approaches to understanding the relationship between the genome and the synapse. Combined transcriptome analysis and multielectrode recordings of neuronal network activity were used in mouse embryonic primary neuronal cultures to examine synapse formation and activity-dependent gene regulation. Evidence for a coordinated gene expression program for assembly of synapses was observed in the expression of 642 genes encoding postsynaptic and plasticity proteins. This synaptogenesis gene expression program preceded protein expression of synapse markers and onset of spiking activity. Continued expression was followed by maturation of morphology and electrical neuronal networks, which was then followed by the expression of activity-dependent genes. Thus, two distinct sequentially active gene expression programs underlie the genomic programs of synapse function.
Asunto(s)
Perfilación de la Expresión Génica , Regulación de la Expresión Génica , Hipocampo/embriología , Sinapsis/fisiología , Animales , Células Cultivadas , Genoma , Genómica , Ratones , Modelos Biológicos , Neuronas/metabolismo , Análisis de Secuencia por Matrices de Oligonucleótidos , Proteómica/métodos , Factores de Tiempo , Transcripción GenéticaRESUMEN
The cellular complexity of the brain (some estimate that there are up to 10(3) different cell types) is exceeded by the synaptic complexity, with each of the approximately 10(11) neurons in the brain having around 10(3)-10(4) synapses. Proteomic studies of the synapse have revealed that the postsynaptic density is the most complex multiprotein structure yet identified, with approximately 10(3) different proteins. Such studies, however, use brain tissue with many different regions and therefore different cell types, and there is clear potential for heterogeneity of protein content at different synapses within and between brain regions. Although large-scale mRNA-based assays are in progress to map this sort of complexity at the cellular level, and indeed all brain-expressed genes, analysis of protein distribution (at synapses and other structures) is still in the very early stages. We review existing large-scale protein expression studies and the specific technical obstacles that need to be overcome before applying the scaling used in nucleic acid based approaches.
Asunto(s)
Encéfalo/citología , Encéfalo/metabolismo , Perfilación de la Expresión Génica/métodos , Proteínas del Tejido Nervioso/metabolismo , Proteómica , Animales , Regulación de la Expresión Génica , Humanos , Inmunohistoquímica , Hibridación in Situ , Ratones , Proteínas del Tejido Nervioso/genética , Fenómenos Fisiológicos del Sistema Nervioso , ARN/genéticaRESUMEN
Characterization of the composition of the postsynaptic proteome (PSP) provides a framework for understanding the overall organization and function of the synapse in normal and pathological conditions. We have identified 698 proteins from the postsynaptic terminal of mouse CNS synapses using a series of purification strategies and analysis by liquid chromatography tandem mass spectrometry and large-scale immunoblotting. Some 620 proteins were found in purified postsynaptic densities (PSDs), nine in AMPA-receptor immuno-purifications, 100 in isolates using an antibody against the NMDA receptor subunit NR1, and 170 by peptide-affinity purification of complexes with the C-terminus of NR2B. Together, the NR1 and NR2B complexes contain 186 proteins, collectively referred to as membrane-associated guanylate kinase-associated signalling complexes. We extracted data from six other synapse proteome experiments and combined these with our data to provide a consensus on the composition of the PSP. In total, 1124 proteins are present in the PSP, of which 466 were validated by their detection in two or more studies, forming what we have designated the Consensus PSD. These synapse proteome data sets offer a basis for future research in synaptic biology and will provide useful information in brain disease and mental disorder studies.