Local Ca 2+ signaling occurring within nanometers of voltage-gated Ca 2+ (Cav) channels is crucial for CNS function, yet the molecular composition of Cav channel nano-environments is largely unresolved. Here, we used a proteomic strategy combining knockoutcontrolled multiepitope affinity purifications with high-resolution quantitative MS for comprehensive analysis of the molecular nano-environments of the Cav2 channel family in the whole rodent brain. The analysis shows that Cav2 channels, composed of poreforming α1 and auxiliary β subunits, are embedded into protein networks that may be assembled from a pool of ∼200 proteins with distinct abundance, stability of assembly, and preference for the three Cav2 subtypes. The majority of these proteins have not previously been linked to Cav channels; about two-thirds are dedicated to the control of intracellular Ca 2+ concentration, including G proteincoupled receptor-mediated signaling, to activity-dependent cytoskeleton remodeling or Ca 2+ -dependent effector systems that comprise a high portion of the priming and release machinery of synaptic vesicles. The identified protein networks reflect the cellular processes that can be initiated by Cav2 channel activity and define the molecular framework for organization and operation of local Ca 2+ signaling by Cav2 channels in the brain.calcium channel | Ca 2+ signaling | proteome | biochemistry | mass spectrometry

Native AMPA receptors (AMPARs) in the mammalian brain are macromolecular complexes whose functional characteristics vary across the different brain regions and change during postnatal development or in response to neuronal activity. The structural and functional properties of the AMPARs are determined by their proteome, the ensemble of their protein building blocks. Here we use high-resolution quantitative mass spectrometry to analyze the entire pool of AMPARs affinity-isolated from distinct brain regions, selected sets of neurons, and whole brains at distinct stages of postnatal development. These analyses show that the AMPAR proteome is dynamic in both space and time: AMPARs exhibit profound region specificity in their architecture and the constituents building their core and periphery. Likewise, AMPARs exchange many of their building blocks during postnatal development. These results provide a unique resource and detailed contextual data sets for the analysis of native AMPAR complexes and their role in excitatory neurotransmission.

Affinity purification (AP) of protein complexes combined with LC-MS/MS analysis is the current method of choice for identification of protein-protein interactions. Their interpretation with respect to significance, specificity, and selectivity requires quantification methods coping with enrichment factors of more than 1000-fold, variable amounts of total protein, and low abundant, unlabeled samples. We used standardized samples (0.1-1000 fmol) measured on high resolution hybrid linear ion trap instruments (LTQ-FT/Orbitrap) to characterize and improve linearity and dynamic range of label-free approaches. Quantification based on spectral counts was limited by saturation and ion suppression effects with samples exceeding 100 ng of protein, depending on the instrument setup. In contrast, signal intensities of peptides (peak volumes) selected by a novel correlation-based method (TopCorr-PV) were linear over at least 4 orders of magnitude and allowed for accurate relative quantification of standard proteins spiked into a complex protein background. Application of this procedure to APs of the voltage-gated potassium channel Kv1.1 as a model membrane protein complex unambiguously identified the whole set of known interaction partners together with novel candidates. In addition to discriminating these proteins from background, we could determine efficiency, cross-reactivities, and selection biases of the used purification antibodies. The enhanced dynamic range of the developed quantification procedure appears well suited for sensitive identification of specific protein-protein interactions, detection of antibody-related artifacts, and optimization of AP conditions. Molecular & Cellular Proteomics 11: 10.1074/mcp.M111.007955, 1-12, 2012.Antibody-based affinity purification (AP) 1 of protein assemblies from biological samples followed by mass spectrometric analysis represents an increasingly popular approach for identification of protein-protein interactions (AP-MS) (1-3). Despite the exquisitely high and specific enrichment theoretically obtainable with antibodies (Abs), this approach faces a number of technical and intrinsic challenges in practice. Target protein complexes typically suffer from poor solubility, instability, and low abundance, particularly when associated with lipid membranes. Moreover, various antibody-related properties such as target selectivity, cross-reactivity, and interference with protein-protein interactions may lead to falsepositive and false-negative results (4). Finally, biological protein-protein interactions may have a more dynamic character, may depend on regulated modifications, or may involve rare protein partners. Together, these effects lead to a significant reduction of AP signal to noise, i.e. low co-enrichment efficiency of interaction partners and significant overlap with background or nonspecific proteins.Classically, AP specificity has been addressed by visualization of purified proteins on one-or two-dimensional gels and comparison of band patterns or spots with those obtained in...

Blue native (BN)1 -PAGE and its colorless variant, colorless native PAGE, were originally developed by Schä gger and co-workers as end point separation methods for characterization of solubilized mitochondrial membrane protein (super-)-complexes under close-to-native conditions (1-3). Subsequently, native gel electrophoresis became the method of choice for first dimension separation followed by second dimension SDS-PAGE in two-dimensional gel-based proteomic analyses (2D-BN) of membrane protein complexes. After staining of the gel-separated proteins, protein spots are individually analyzed by different mass spectrometric methods, and the identified proteins were assigned to complexes based on their co-migration pattern (2D-BN-MS (4)). However, these 2D-BN-MS approaches exhibit the following severe shortcomings: (i) they are critically dependent on the staining properties of individual proteins; (ii) the size resolution of protein complexes is low; and (iii) the assignment of identified proteins to spots and complexes may be ambiguous. Therefore, application of 2D-BN-MS has remained largely restricted to the characterization of highly abundant and well defined membrane protein complexes such as complexes I-V of the respiratory chain in mitochondria (5-7), photosynthetic complexes (8 -10), or viruses (11).In a first attempt to overcome these shortcomings of 2D-BN-MS, Wessels et al. (12) coupled BN-PAGE separation more directly to MS analysis by manually cutting the gel lane into 24 slices/sections of about 2 mm width that were separately digested and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Their study on HEK cell mitochondria identified 59 of the 90 canonical subunits of the oxidative respiratory chain (OXPHOS) complexes I-V. The respective protein abundance profiles (based on standard label-free quantification) showed clustering of their peak maxima into the expected complexes I-V. Since then, this onedimensional BN-MS methodology has been gradually improved with respect to quality of the native gel separation, LC-MS/MS sensitivity, and robustness of the quantitative evaluation. Thus, two recent studies on human mitochondrial preparations (each analyzing two BN separations in 60 and 24 slices, respectively) reported identification and hierarchical profile clustering of 464 (13)

Mitochondria have crucial roles in cellular energetics, metabolism, signalling and quality control1–4. They contain around 1,000 different proteins that often assemble into complexes and supercomplexes such as respiratory complexes and preprotein translocases1,3–7. The composition of the mitochondrial proteome has been characterized1,3,5,6; however, the organization of mitochondrial proteins into stable and dynamic assemblies is poorly understood for major parts of the proteome1,4,7. Here we report quantitative mapping of mitochondrial protein assemblies using high-resolution complexome profiling of more than 90% of the yeast mitochondrial proteome, termed MitCOM. An analysis of the MitCOM dataset resolves >5,200 protein peaks with an average of six peaks per protein and demonstrates a notable complexity of mitochondrial protein assemblies with distinct appearance for respiration, metabolism, biogenesis, dynamics, regulation and redox processes. We detect interactors of the mitochondrial receptor for cytosolic ribosomes, of prohibitin scaffolds and of respiratory complexes. The identification of quality-control factors operating at the mitochondrial protein entry gate reveals pathways for preprotein ubiquitylation, deubiquitylation and degradation. Interactions between the peptidyl-tRNA hydrolase Pth2 and the entry gate led to the elucidation of a constitutive pathway for the removal of preproteins. The MitCOM dataset—which is accessible through an interactive profile viewer—is a comprehensive resource for the identification, organization and interaction of mitochondrial machineries and pathways.

The transient receptor potential melastatin-subfamily member 7 (TRPM7) is a ubiquitously expressed membrane protein consisting of ion channel and protein kinase domains. TRPM7 plays a fundamental role in the cellular uptake of divalent cations such as Zn2+, Mg2+, and Ca2+, and thus shapes cellular excitability, plasticity, and metabolic activity. The molecular appearance and operation of TRPM7 channels in native tissues have remained unresolved. Here, we investigated the subunit composition of endogenous TRPM7 channels in rodent brain by multi-epitope affinity purification and high-resolution quantitative mass spectrometry (MS) analysis. We found that native TRPM7 channels are high-molecular-weight multi-protein complexes that contain the putative metal transporter proteins CNNM1-4 and a small G-protein ADP-ribosylation factor-like protein 15 (ARL15). Heterologous reconstitution experiments confirmed the formation of TRPM7/CNNM/ARL15 ternary complexes and indicated that complex formation effectively and specifically impacts TRPM7 activity. These results open up new avenues towards a mechanistic understanding of the cellular regulation and function of TRPM7 channels.

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The transient receptor potential melastatin-subfamily member 7 (TRPM7) is a ubiquitously expressed membrane protein consisting of ion channel and protein kinase domains. TRPM7 plays a fundamental role in the cellular uptake of divalent cations such as Zn2+, Mg2+ and Ca2+, and thus shapes cellular excitability, plasticity and metabolic activity. The molecular appearance and operation of TRPM7 channel complexes in native tissues have remained unresolved. Here, we investigated the subunit composition of endogenous TRPM7 channels in rodent brain by multi-epitope affinity purification and high-resolution quantitative MS analysis. We found that native TRPM7 channels are high molecular-weight multi-protein complexes that contain the putative metal transporter proteins CNNM1-4 and a small G-protein ARL15. Heterologous reconstitution experiments confirmed the formation of TRPM7/CNNM/ARL15 ternary complexes and indicated that ARL15 effectively and specifically impacts TRPM7 channel activity. These results open up new avenues towards a mechanistic understanding of the cellular regulation and function of TRPM7 channels.Impact StatementHigh-resolution proteomics in conjunction with biochemical and electrophysiological experiments revealed that the channel-kinase TRPM7 in the rodent brain forms macromolecular complexes containing the metal transporters CNNM1-4 and a small G protein ARL15.