Relative and absolute quantification of postsynaptic density proteome isolated from rat forebrain and cerebellum

The postsynaptic density (PSD) of central excitatory synapses is essential for postsynaptic signaling, and its components are heterogeneous among different neuronal subtypes and brain structures. Here we report large scale relative and absolute quantification of proteins in PSDs purified from adult rat forebrain and cerebellum. PSD protein profiles were determined using the cleavable ICAT strategy and LC-MS/MS. A total of 296 proteins were identified and quantified with 43 proteins exhibiting statistically significant abundance change between forebrain and cerebellum, indicating marked molecular heterogeneity of PSDs between different brain regions. Moreover we utilized absolute quantification strategy, in which synthetic isotope-labeled peptides were used as internal standards, to measure the molar abundance of 32 key PSD proteins in forebrain and cerebellum. These data confirm the abundance of calcium/calmodulin-dependent protein kinase II and PSD-95 and reveal unexpected stoichiometric ratios between glutamate receptors, scaffold proteins, and signaling molecules in the PSD. Our data also demonstrate that the absolute quantification method is well suited for targeted quantitative proteomic analysis. Overall this study delineates a crucial molecular difference between forebrain and cerebellar PSDs and provides a quantitative framework for measuring the molecular stoichiometry of the PSD.     

A proteomics approach towards understanding blast fungus infection of rice grown under different levels of nitrogen fertilization

Proteins extracted from leaf blades of rice plants infected with blast fungus, Magnaporthe grisea, were separated by two-dimensional polyacrylamide gel electrophoresis. The separated proteins were electroblotted onto a polyvinylidene difluoride membrane, and 63 proteins were analyzed by a gas-phase protein sequencer. The N-terminal amino acid sequences of 33 out of 63 proteins were determined in this manner. N-terminal regions of the remaining proteins could not be sequenced. The internal amino acid sequences of 12 proteins were determined by sequence analysis of peptides obtained by the Cleveland peptide mapping method. The amino acid sequences were compared with those of known plant and animal protein sequences to understand the nature of these proteins. As expected, leaf blades revealed predominantly the presence of photosynthetic proteins. Using this experimental approach named as proteome analysis, the functional proteins during blast fungus infection of rice with different levels of nitrogen nutrient were analyzed. Twelve proteins which appeared to change with different levels of nitrogen nutrient were identified. It was revealed that the level of ribulose-1,5-bisphosphate carboxylase/oxygenase was increased by top-dressing with nitrogen nutrient. Additionally, the pathogenesis related protein were observed following blast fungus infection using immunoblot analysis. It was conjectured that these proteins might be involved in incompatible interaction in rice plants following blast fungus infection. The information obtained on the amino acid sequences and antibodies interaction is expected to be helpful in predicting the function of these proteins.     

Separation and characterization of proteins in rice (Oryza sativa) suspension cultured cells

Proteins extracted from suspension cultured cells of rice were separated by two-dimensional polyacrylamide gel electrophoresis. The separated proteins were electroblotted onto a polyvinylidene difluoride membrane and 103 electroblotted proteins were analyzed. The N-terminal amino-acid sequences of 20 out of 103 proteins were determined in this manner. N-terminal regions of the remaining proteins could not be sequenced and they were inferred to have a blocking group at the N-terminus. Internal amino-acid sequences of 32 proteins were determined by sequence analysis of peptides obtained by Cleveland peptide mapping. The amino-acid sequences determined here were compared with those of known plant and animal proteins. Furthermore, the concanavalin A-peroxidase method was used to determine which of the 103 proteins were glycosylated, and in vitro and in vivo phosphorylation was carried out to identify some of the phosphorylated proteins. Using this experimental approach, we could identify the major proteins involved in growth and development of rice cell suspension cultures and discuss on the physiological function of some of these identified proteins including the calcium binding protein, superoxide dismutase and rice ascorbate peroxidase. This revised version was published online in June 2006 with corrections to the Cover Date.     

Can functional regions of proteins be predicted from their coding sequences? The case study of G-protein coupled receptors

A filter based on a set of unsupervised neural networks trained with a winner-take-all strategy discloses signals along the coding sequences of G-protein coupled receptors. By comparing with the existing experimental data it appears that these signals correlate with putative functional domains of the proteins. After protein alignment within subfamilies, signals cluster in protein regions which, according to the presently available experimental results, are described as possible functional domains of the folded proteins. The mapping procedure reveals characteristic regions in the coding sequences common and/or characteristic of the receptor subtype. This is particularly noticeable for the third cytoplasmic loop, which is likely to be involved in the molecular coupling of all the subfamilies with G-proteins. The results indicate that our mapping can highlight intrinsic representative features of the coding sequences which, in the case of G-protein coupled receptors, are characteristic of protein functional regions and suggest a possible application of the filter for predicting functional determinants in proteins starting from the coding sequence.     

Characterization of low abundant membrane proteins using the protein sequence tag technology

About 25% of open reading frames in fully sequenced genomes are estimated to encode transmembrane proteins that represent valuable targets for drugs. However, the global analysis of membrane proteins has been proven to be problematic, e.g., because of their very amphiphilic nature. In this paper, we show that the recently published Protein Sequence Tag (PST) technology combined with an efficient sample preparation is a powerful method to perform protein analysis of highly enriched membrane fractions. The PST approach is a gel-free proteomics tool for the analysis of proteins, which relies on a "sampling" strategy by isolating N-terminal protein sequence tags from cyanogen bromide cleaved proteins. The identification of these N-terminal PST peptides is based on LC-MS/MS. The effectiveness of the technology is demonstrated for a membrane fraction, which was isolated from crude mitochondria of yeast after alkaline sodium carbonate treatment. The PST approach performed on this fraction analyzed 148 proteins, whereas 84% are identified as membrane proteins. More interestingly, among these membrane proteins 56% are predicted to be of low abundance. These encouraging results are an important step toward the development of a quantitative PST approach (qPST) for the differential display of membrane protein analysis.     

Analysis of protein interactions at native chloroplast membranes by ellipsometry

Membrane bound receptors play vital roles in cell signaling, and are the target for many drugs, yet their interactions with ligands are difficult to study by conventional techniques due to the technical difficulty of monitoring these interactions in lipid environments. In particular, the ability to analyse the behaviour of membrane proteins in their native membrane environment is limited. Here, we have developed a quantitative approach to detect specific interactions between low-abundance chaperone receptors within native chloroplast membranes and their soluble chaperone partners. Langmuir-Schaefer film deposition was used to deposit native chloroplasts onto gold-coated glass slides, and interactions between the molecular chaperones Hsp70 and Hsp90 and their receptors in the chloroplast membranes were detected and quantified by total internal reflection ellipsometry (TIRE). We show that native chloroplast membranes deposited on gold-coated glass slides using Langmuir-Schaefer films retain functional receptors capable of binding chaperones with high specificity and affinity. Taking into account the low chaperone receptor abundance in native membranes, these binding properties are consistent with data generated using soluble forms of the chloroplast chaperone receptors, OEP61 and Toc64. Therefore, we conclude that chloroplasts have the capacity to selectively bind chaperones, consistent with the notion that chaperones play an important role in protein targeting to chloroplasts. Importantly, this method of monitoring by TIRE does not require any protein labelling. This novel combination of techniques should be applicable to a wide variety of membranes and membrane protein receptors, thus presenting the opportunity to quantify protein interactions involved in fundamental cellular processes, and to screen for drugs that target membrane proteins.     

A rice protein library: a data-file of rice proteins separated by two-dimensional electrophoresis

Proteins extracted from embryos, endosperms and leaves of rice were separated by two-dimensional electrophoresis and relative molecular weights and isoelectric points were determined. The separated proteins were electroblotted onto a polyvinylidene difluoride membrane and 85 electroblotted proteins were analyzed by a gas-phase protein sequencer. The N-terminal amino-acid sequences of 27 out of 85 proteins were determined in this manner. The N-terminal regions of the remaining proteins could not be sequenced and they were inferred to have a blocking group at the N-terminus. Among proteins, 11 could be sequenced after deblocking by in situ treatment with pyroglutamyl peptidase. The internal amino-acid sequences of 23 proteins were determined by sequence analysis of peptides obtained by Cleveland peptide mapping. The amino-acid sequences determined here were compared with those of known plant and animal proteins. The concanavalin A-peroxidase method was used to determine whether the 85 proteins were glycosylated and the diagonal electrophoresis method was used to determine whether they contained disulphide bonding. Finally, we constructed a data-file of rice proteins including information on relative molecular weight, isoelectric point, amino-acid sequence, sequence homology, glycosylation, and the presence of disulphide bonding.     

Characterization of the mouse brain proteome using global proteomic analysis complemented with cysteinyl-peptide enrichment

We report a global proteomic approach for analyzing brain tissue and for the first time a comprehensive characterization of the whole mouse brain proteome. Preparation of the whole brain sample incorporated a highly efficient cysteinyl-peptide enrichment (CPE) technique to complement a global enzymatic digestion method. Both the global and the cysteinyl-enriched peptide samples were analyzed by SCX fractionation coupled with reversed phase LC-MS/MS analysis. A total of 48,328 different peptides were confidently identified (>98% confidence level), covering 7792 nonredundant proteins ( approximately 34% of the predicted mouse proteome). A total of 1564 and 1859 proteins were identified exclusively from the cysteinyl-peptide and the global peptide samples, respectively, corresponding to 25% and 31% improvements in proteome coverage compared to analysis of only the global peptide or cysteinyl-peptide samples. The identified proteins provide a broad representation of the mouse proteome with little bias evident due to protein pI, molecular weight, and/or cellular localization. Approximately 26% of the identified proteins with gene ontology (GO) annotations were membrane proteins, with 1447 proteins predicted to have transmembrane domains, and many of the membrane proteins were found to be involved in transport and cell signaling. The MS/MS spectrum count information for the identified proteins was used to provide a measure of relative protein abundances. The mouse brain peptide/protein database generated from this study represents the most comprehensive proteome coverage for the mammalian brain to date, and the basis for future quantitative brain proteomic studies using mouse models. The proteomic approach presented here may have broad applications for rapid proteomic analyses of various mouse models of human brain diseases.     

Proteomic mapping of brain plasma membrane proteins

Proteomics is potentially a powerful technology for elucidating brain function and neurodegenerative diseases. So far, the brain proteome has generally been analyzed by two-dimensional gel electrophoresis, which usually leads to the complete absence of membrane proteins. We describe a proteomic approach for profiling of plasma membrane proteins from mouse brain. The procedure consists of a novel method for extraction and fractionation of membranes, on-membrane digestion, diagonal separation of peptides, and high-sensitivity analysis by advanced MS. Breaking with the classical plasma membrane fractionation approach, membranes are isolated without cell compartment isolation, by stepwise depletion of nonmembrane molecules from entire tissue homogenate by high-salt, carbonate, and urea washes followed by treatment of the membranes with sublytic concentrations of digitonin. Plasma membrane is further enriched by of density gradient fractionation and protein digested on-membrane by endoproteinase Lys-C. Released peptides are separated, fractions digested by trypsin, and analyzed by LC-MS/MS. In single experiments, the developed technology enabled identification of 862 proteins from 150 mg of mouse brain cortex. Further development and miniaturization allowed analysis of 15 mg of hippocampus, revealing 1,685 proteins. More that 60% of the identified proteins are membrane proteins, including several classes of ion channels and neurotransmitter receptors. Our work now allows in-depth study of brain membrane proteomes, such as of mouse models of neurological disease.     

Stimulated D(1) dopamine receptors couple to multiple Galpha proteins in different brain regions

Previous studies have revealed that activation of rat striatal D(1) dopamine receptors stimulates both adenylyl cyclase and phospholipase C via G(s) and G(q), respectively. The differential distribution of these systems in brain supports the existence of distinct receptor systems. The present communication extends the study by examining other brain regions: hippocampus, amygdala, and frontal cortex. In membrane preparations of these brain regions, selective stimulation of D(1) dopamine receptors increases the hydrolysis of phosphatidylinositol/phosphatidylinositol 4,5-biphosphate. In these brain regions, D(1) dopamine receptors couple differentially to multiple Galpha protein subunits. Antisera against Galpha(q) blocks dopamine-stimulated PIP(2) hydrolysis in hippocampal and in striatal membranes. The binding of [(35)S]GTPgammaS or [alpha-(32)P]GTP to Galpha(i) was enhanced in all brain regions. Dopamine also increased the binding of [(35)S]GTPgammaS or [alpha-(32)P]GTP to Galpha(q) in these brain regions: hippocampus = amygdala > frontal cortex. However, dopamine-stimulated binding of [(35)S]GTPgammaS to Galphas only in the frontal cortex and striatum. This differential coupling profile in the brain regions was not related to a differential regional distribution of the Galpha proteins. Dopamine induced increases in GTPgammaS binding to Galpha(s) and Galpha(q) was blocked by the D(1) antagonist SCH23390 but not by D(2) receptor antagonist l-sulpiride, suggesting that D(1) dopamine receptors couple to both Galpha(s) and Galpha(q) proteins. Co-immunoprecipitation of Galpha proteins with receptor-binding sites indicate that in the frontal cortex, D(1) dopamine-binding sites are associated with both Galpha(s) and Galpha(q) and, in hippocampus or amygdala, D(1) dopamine receptors couple solely to Galpha(q). The results indicate that in addition to the D(1)/G(s)/adenylyl cyclase system, brain D(1)-like dopamine receptor sites activate phospholipase C through Galpha(q) protein.     

Voxel-Based Texture Analysis of the Brain

This paper presents a novel voxel-based method for texture analysis of brain images. Texture analysis is a powerful quantitative approach for analyzing voxel intensities and their interrelationships, but has been thus far limited to analyzing regions of interest. The proposed method provides a 3D statistical map comparing texture features on a voxel-by-voxel basis. The validity of the method was examined on artificially generated effects as well as on real MRI data in Alzheimer''s Disease (AD). The artificially generated effects included hyperintense and hypointense signals added to T1-weighted brain MRIs from 30 healthy subjects. The AD dataset included 30 patients with AD and 30 age/sex matched healthy control subjects. The proposed method detected artificial effects with high accuracy and revealed statistically significant differences between the AD and control groups. This paper extends the usage of texture analysis beyond the current region of interest analysis to voxel-by-voxel 3D statistical mapping and provides a hypothesis-free analysis tool to study cerebral pathology in neurological diseases.     

A multiplexed quantitative strategy for membrane proteomics: opportunities for mining therapeutic targets for autosomal dominant polycystic kidney disease

Toward multiplexed, comprehensive, and robust quantitation of the membrane proteome, we report a strategy combining gel-assisted digestion, iTRAQ (isobaric tags for relative and absolute quantitation) labeling, and LC-MS/MS. Quantitation of four independently purified membrane fractions from HeLa cells gave high accuracy (<8% error) and precision (<12% relative S.D.), demonstrating a high degree of consistency and reproducibility of this quantitation platform. Under stringent identification criteria (false discovery rate = 0%), the strategy efficiently quantified membrane proteins; as many as 520 proteins (91%) were membrane proteins, each quantified based on an average of 14.1 peptides per integral membrane protein. In addition to significant improvements in signal intensity for most quantified proteins, most remarkably, topological analysis revealed that the biggest improvement was achieved in detection of transmembrane peptides from integral membrane proteins with up to 19 transmembrane helices. To the best of our knowledge, this level of coverage exceeds that achieved previously using MS and provides superior quantitation accuracy compared with other methods. We applied this approach to the first proteomics delineation of phenotypic expression in a mouse model of autosomal dominant polycystic kidney disease (ADPKD). By characterizing kidney cell plasma membrane from wild-type versus PKD1 knock-out mice, 791 proteins were quantified, and 67 and 37 proteins showed > or =2-fold up-regulation and down-regulation, respectively. Some of these differentially expressed membrane proteins are involved in the mechanisms underlying major abnormalities in ADPKD, including epithelial cell proliferation and apoptosis, cell-cell and cell-matrix interactions, ion and fluid secretion, and membrane protein polarity. Among these proteins, targeting therapeutics to certain transporters/receptors, such as epidermal growth factor receptor, has proven effective in preclinical studies of ADPKD; others are known drug targets in various diseases. Our method demonstrates how comparative membrane proteomics can provide insight into the molecular mechanisms underlying ADPKD and the identification of potential drug targets, which may lead to new therapeutic opportunities to prevent or retard the disease.     

Quantitative mouse brain proteomics using culture-derived isotope tags as internal standards

An important challenge for proteomics is to be able to compare absolute protein levels across biological samples. Here we introduce an approach based on the use of culture-derived isotope tags (CDITs) for quantitative tissue proteome analysis. We cultured Neuro2A cells in a stable isotope-enriched medium and mixed them with mouse brain samples to serve as internal standards. Using CDITs, we identified and quantified a total of 1,000 proteins, 97-98% of which were expressed in both mouse whole brain and Neuro2A cells. CDITs also allow comprehensive and absolute protein quantification. Synthetic unlabeled peptides were used to quantify the corresponding proteins labeled with stable isotopes in Neuro2A cells, and the results were used to obtain the absolute amounts of 103 proteins in mouse whole brain. The expression levels correlated well with those in Neuro2A cells. Thus, the use of CDITs allows both relative and absolute quantitative proteome studies.     

Proteomic analysis of brown planthopper: application to the study of carbamate toxicity

Toxicity to o-sec-butylphenyl methylcarbamate compound (BPMC) was analyzed in the rice brown planthopper, Nilaparvata lugens, using a differential proteomics approach of identifying proteins on two dimensional-polyacrylamide gel electrophoresis (2D-PAGE). Proteome analysis from BPMC-treated brown planthopper resulted in the modulation of 22 proteins at the expression level as compared to control samples on coomassie brilliant blue (CBB) stained gels. Out of total 22 proteins, 10 proteins showed elevated expression, eight proteins showed decreased expression and four proteins showed specific expression after insecticide treatment. The N-terminal sequences of seven out of 22 proteins were determined by a gas-phase protein sequencer. The internal amino acid sequences of the 15 proteins were determined by the sequence analyses of peptides obtained by Cleveland peptide mapping method and were compared with those of the known proteins available in public databases and the EST database of the brown planthopper in our laboratory to understand the nature of the proteins. Sequence analyses revealed that the expression of putative serine/threonine protein kinase, paramyosin, HSP 90, beta-tubulin, calreticulin, ATP synthase, actin and tropomyosin was elevated, and that of beta-mitochondrial processing peptidase, dihydrolipoamide dehydrogenase, enolase and acyl-coA dehydrogenase was reduced due to the exposure of BPMC. The differential expression of these proteins reflects the overall change in cellular structure and metabolism after insecticide treatment.     

iTRAQ-based quantitative proteomic analysis of conidia and mycelium in the filamentous fungus Metarhizium robertsii

Metarhizium robertsii is widely applied in biological control via conidia application. To clarify the proteomic differences between conidia and mycelia and explore the underlying mechanisms of conidia as a unit responsible for dispersal and environmental stress, we carried out an iTRAQ (isobaric tags for relative and absolute quantitation)-based quantitative proteomic analysis for two developmental stages from M. robertsii. A total of 2052 proteins were detected, and 90 showed differential protein abundance between the conidia and mycelia. These 90 proteins were primarily associated with stress resistance, amino acid and protein metabolism, and energy metabolism. Further bioinformatics analysis showed that these proteins could be mapped to 52 pathways, five of which were significantly enriched after mapping to KEGG pathways. Interestingly, many proteins involved in the significantly enriched pathway of peroxisome, biosynthesis of secondary metabolites and glyoxylate and dicarboxylate metabolism, including catalase, peroxisomal membrane anchor protein, formate dehydrogenase and isocitrate lyase, were identified with higher abundance in conidia. The results deepened our understanding of the conidia proteome in M. robertsii and provide a basis for further exploration for improving the efficiency of the fungi as biocontrol agents.     

Quantitative in-depth analysis of the dynamic secretome of activated Jurkat T-cells

Proteins secreted by cells are of the highest biomedical relevance since they play a significant role in the progression of numerous diseases. However, characterization of the proteins specifically secreted in response to precise stimuli is challenging, since these proteins are contaminated by cellular byproducts. Here we present a method to characterize a dynamic secretome and demonstrate its utility by performing the deepest quantitative analysis to date of proteins secreted by lymphoid Jurkat T-cells upon activation. Cell-free supernatant proteins were analyzed by using an optimized protocol for differential (18)O/(16)O-labeling and LC-MS/MS, followed by statistical analysis using a random-effects model. More than 4000 unique peptides belonging to 1288 proteins were identified and a large proportion could be quantified. To determine the proteins whose secretion was up-regulated upon T-cell activation, protein variance of the null hypothesis was estimated after protein classification in terms of secretion and ontology using bioinformatic tools. 62 proteins showed a statistically significant change in abundance upon cell activation and most of them (49 proteins) were up-regulated. These proteins were functionally involved mainly in inflammatory response, signal transduction, cell growth and differentiation and cell redox homeostasis. Our approach provides a promising technology for the high-throughput quantitative study of dynamic secretomes.     

A proteomic approach to identification of transmembrane proteins and membrane-anchored proteins of Arabidopsis thaliana by peptide sequencing.

A proteomic approach was developed for the identification of membrane-bound proteins of Arabidopsis thaliana. A subcellular fraction enriched in vacuolar membranes was prepared from 4-week-old plants and was washed with various agents to remove peripheral membrane proteins and contaminating soluble proteins. The remaining membrane-bound proteins were then subjected to proteomic analysis. Given that these proteins were resolved poorly by standard two-dimensional gel electrophoresis, we subjected them instead to SDS-polyacrylamide gel electrophoresis and to protein digestion within gel slices with lysylendopeptidase. The resulting peptides were separated by reverse-phase high-performance liquid chromatography and subjected to Edman sequencing. From the 163 peptide peaks analyzed, 69 peptide sequences were obtained, 64 of which were informative. The proteins corresponding to these peptide sequences were identified as belonging to 42 families, including two subfamilies, by comparison with the protein sequences predicted from annotation of the A. thaliana genome. A total of 34 proteins was identified definitively with protein-specific peptide sequences. Transmembrane proteins detected in the membrane fraction included transporters, channels, receptors, and unknown molecules, whereas the remaining proteins, categorized as membrane-anchored proteins, included small GTPases, GTPase binding proteins, heat shock protein 70-like proteins, ribosomal proteins, and unknown proteins. These membrane-anchored proteins are likely attached to membranes by hydrophobic anchor molecules or through tight association with other membrane-bound proteins. This proteomic approach has thus proved effective for the identification of membrane-bound proteins.     

Quantitative proteomics and protein network analysis of hippocampal synapses of CaMKIIalpha mutant mice

Quantitative analysis of synaptic proteomes from specific brain regions is important for our understanding of the molecular basis of neuroplasticity and brain disorders. In the present study we have optimized comparative synaptic proteome analysis to quantitate proteins of the synaptic membrane fraction isolated from the hippocampus of wild type mice and 3'UTR-calcium/calmodulin-dependent kinase II alpha mutant mice. Synaptic proteins were solubilized in 0.85% RapiGest and digested with trypsin without prior dilution of the detergent, and the peptides from two groups of wild type mice and two groups of CaMKIIalpha 3'UTR mutants were tagged with iTRAQ reagents 114, 115, 116, and 117, respectively. The experiment was repeated once with independent biological replicates. Peptides were fractionated with tandem liquid chromatography and collected off-line onto MALDI metal plates. The first iTRAQ experiment was analyzed on an ABI 4700 proteomics analyzer, and the second experiment was analyzed on an ABI 4800 proteomics analyzer. Using the criteria that the proteins should be matched with at least three peptides with the highest CI% of a peptide at least 95%, 623 and 259 proteins were quantified by a 4800 proteomics analyzer and a 4700 proteomics analyzer, respectively, from which 249 proteins overlapped in the two experiments. There was a 3 fold decrease of calcium/calmodulin-dependent kinase II alpha in the synaptic membrane fraction of the 3'UTR mutant mice. No other major changes were observed, suggesting that the synapse protein constituents of the mutant mice were not substantially altered. A first draft of a synaptic protein interaction network has been constructed using commercial available software, and the synaptic proteins were organized into 10 (interconnecting) functional groups belonging to the pre- and postsynaptic compartments, e.g., receptors and ion channels, scaffolding proteins, cytoskeletal proteins, signaling proteins, adhesion molecules, and proteins of synaptic vesicles and those involved in membrane recycling.     

Regulation of AMPA Receptors by Phosphorylation

The AMPA receptors for glutamate are oligomeric structures that mediate fast excitatory responses in the central nervous system. Phosphorylation of AMPA receptors is an important mechanism for short-term modulation of their function, and is thought to play an important role in synaptic plasticity in different brain regions. Recent studies have shown that phosphorylation of AMPA receptors by cAMP-dependent protein kinase (PKA) and Ca2+- and calmodulin-dependent protein kinase II (CaMKII) potentiates their activity, but phosphorylation of the receptor subunits may also affect their interaction with intracellular proteins, and their expression at the plasma membrane. Phosphorylation of AMPA receptor subunits has also been investigated in relation to processes of synaptic plasticity. This review focuses on recent advances in understanding the molecular mechanisms of regulation of AMPA receptors, and their implications in synaptic plasticity.