Conserved motifs in mechanosensitive channels MscL and MscS

Mechanosensitive (MS) channels play a major role in protecting bacterial cells against hypo-osmotic shock. To understand their function, it is important to identify the conserved motifs using sequence analysis methods. In this study, the sequence conservation was investigated by an in silico analysis to generate sequence logos. We have identified new conserved motifs in the domains TM1, TM2 and the cytoplasmic helix from 231 homologs of MS channel of large conductance (MscL). In addition, we have identified new motifs for the TM3 and the cytoplasmic carboxy-terminal domain from 309 homologs of MS channel of small conductance (MscS). We found that the conservation in MscL homologs is high for TM1 and TM2 in the three domains of life. The conservation in MscS homologs is high only for TM3 in Bacteria and Archaea. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Complex functional interaction between integrin receptors and ion channels

Integrin receptors mediate adhesion of the cell to the extracellular matrix and thereby regulate cell motility, proliferation, differentiation and apoptosis. These processes are frequently accompanied by alterations in ion flow. Recent evidence suggests that integrins can regulate ion channels and form macromolecular complexes, thus contributing to the localization of the channel onto the plasma membrane. The integrin-channel complex regulates downstream signaling proteins, such as tyrosine kinases and GTPases. This process could occur in plasma membrane microdomains, such as caveolae. It seems that ion channels sometimes transmit their signals through conformational coupling, instead of change in ion fluxes. Finally, the channel protein is not merely a final target, because it often feeds back by controlling integrin activation and/or expression. These findings have important implications for the physiology of normal and neoplastic cells and suggest interesting perspectives for studies of synaptic plasticity.     

Purification and functional reconstitution of N- and C-halves of the MscL channel

MscL is a mechanosensitive channel gated by membrane tension in the lipid bilayer alone. Its structure, known from x-ray crystallography, indicates that it is a homopentamer. Each subunit comprises two transmembrane segments TM1 and TM2 connected by a periplasmic loop. The closed pore is lined by five TM1 helices. We expressed in Escherichia coli and purified two halves of the protein, each containing one of the transmembrane segments. Their electrophysiological activity was studied by the patch-clamp recording upon reconstitution in artificial liposomes. The TM2 moiety had no electrophysiological activity, whereas the TM1 half formed channels, which were not affected by membrane tension and varied in conductance between 50 and 350 pS in 100 mM KCl. Coreconstitution of the two halves of MscL however, yielded mechanosensitive channels having the same conductance as the native MscL (1500 pS), but exhibiting increased sensitivity to pressure. Our results confirm the current view on the functional role of TM1 and TM2 helices in the MscL gating and emphasize the importance of helix-helix interactions for the assembly and functional properties of the channel protein. In addition, the results indicate a crucial role of the periplasmic loop for the channel mechanosensitivity.     

Identification of a functional interaction between Kv4.3 channels and c-Src tyrosine kinase

Voltage-gated K(+) (Kv) channels are key determinants of cardiac and neuronal excitability. A substantial body of evidence has accumulated in support of a role for Src family tyrosine kinases in the regulation of Kv channels. In this study, we examined the possibility that c-Src tyrosine kinase participates in the modulation of the transient voltage-dependent K(+) channel Kv4.3. Supporting a mechanistic link between Kv4.3 and c-Src, confocal microscopy analysis of HEK293 cells stably transfected with Kv4.3 showed high degree of co-localization of the two proteins at the plasma membrane. Our results further demonstrate an association between Kv4.3 and c-Src by co-immunoprecipitation and GST pull-down assays, this interaction being mediated by the SH2 and SH3 domains of c-Src. Furthermore, we show that Kv4.3 is tyrosine phosphorylated under basal conditions. The functional relevance of the observed interaction between Kv4.3 and c-Src was established in patch-clamp experiments, where application of the Src inhibitor PP2 caused a decrease in Kv4.3 peak current amplitude, but not the inactive structural analogue PP3. Conversely, intracellular application of recombinant c-Src kinase or the protein tyrosine phosphatase inhibitor bpV(phen) increased Kv4.3 peak current amplitude. In conclusion, our findings provide evidence that c-Src-induced Kv4.3 channel activation involves their association in a macromolecular complex and suggest a role for c-Src-Kv4.3 pathway in regulating cardiac and neuronal excitability.     

OCAM: a new tool for studying the oligomeric diversity of MscL channels

We have developed a new technique to study the oligomeric state of proteins in solution. OCAM or Oligomer Characterization by Addition of Mass counts protein subunits by selectively shaving a protein mass tag added to a protein subunit via a short peptide linker. Cleavage of each mass tag reduces the total mass of the protein complex by a fixed amount. By performing limited proteolysis and separating the reaction products by size on a blue native PAGE gel, a ladder of reaction products corresponding to the number of subunits can be resolved. The pattern of bands may be used to distinguish the presence of a single homo-oligomer from a mixture of oligomeric states. We have applied OCAM to study the mechanosensitive channel of large conductance (MscL) and find that these proteins can exist in multiple oligomeric states ranging from tetramers up to possible hexamers. Our results demonstrate the existence of oligomeric forms of MscL not yet observed by X-ray crystallography or other techniques and that in some cases a single type of MscL subunit can assemble as a mixture of oligomeric states.     

Coupled cell-free synthesis and lipid vesicle insertion of a functional oligomeric channel MscL MscL does not need the insertase YidC for insertion in vitro

The mechanosensitive channel MscL of the plasma membrane of bacteria is a homopentamer involved in the protection of cells during osmotic downshock. The MscL protein, a polypeptide of 136 residues, was recently shown to require YidC to be inserted in the inner membrane of E. coli. The insertase YidC is a component of an insertion pathway conserved in bacteria, mitochondria and chloroplasts. MscL insertion was independent of the Sec translocon. Here, we report sucrose gradient centrifugation and freeze-etching microscopy experiments showing that MscL produced in a cell-free system complemented with preformed liposomes is able to insert directly in a pure lipid bilayer. Patch-clamp experiments performed with the resulting proteoliposomes showed that the protein was highly active. In vitro cell-free synthesis targeting to liposomes is a new promising expression system for membrane proteins, including those that might require an insertion machinery in vivo. Our results also question the real role of insertases such as YidC for membrane protein insertion in vivo.     

Genome-wide detection and family clustering of ion channels

Ion channels represent an important class of molecules that can be classified into 13 distinct groups. We present a strategy using a "learning set" of well-annotated ion channel sequences to detect homologues in 32 entire genome sequences from Archaea, Bacteria and Eukarya. A total of 299 putative ion channel protein sequences were detected, with significant variations across species. The clustering of these sequences reveals complex relationships between the different ion channel families.     

Structural and functional determinants of conserved lipid interaction domains of inward rectifying Kir6.2 channels

All members of the inward rectifiier K(+) (Kir) channel family are activated by phosphoinositides and other amphiphilic lipids. To further elucidate the mechanistic basis, we examined the membrane association of Kir6.2 fragments of K(ATP) channels, and the effects of site-directed mutations of these fragments and full-length Kir6.2 on membrane association and K(ATP) channel activity, respectively. GFP-tagged Kir6.2 COOH terminus and GFP-tagged pleckstrin homology domain from phospholipase C delta1 both associate with isolated membranes, and association of each is specifically reduced by muscarinic m1 receptor-mediated phospholipid depletion. Kir COOH termini are predicted to contain multiple beta-strands and a conserved alpha-helix (residues approximately 306-311 in Kir6.2). Systematic mutagenesis of D307-F315 reveals a critical role of E308, I309, W311 and F315, consistent with residues lying on one side of a alpha-helix. Together with systematic mutation of conserved charges, the results define critical determinants of a conserved domain that underlies phospholipid interaction in Kir channels.     

Multilevel functional clustering analysis

Summary In this article, we investigate clustering methods for multilevel functional data, which consist of repeated random functions observed for a large number of units (e.g., genes) at multiple subunits (e.g., bacteria types). To describe the within- and between variability induced by the hierarchical structure in the data, we take a multilevel functional principal component analysis (MFPCA) approach. We develop and compare a hard clustering method applied to the scores derived from the MFPCA and a soft clustering method using an MFPCA decomposition. In a simulation study, we assess the estimation accuracy of the clustering membership and the cluster patterns under a series of settings: small versus moderate number of time points; various noise levels; and varying number of subunits per unit. We demonstrate the applicability of the clustering analysis to a real data set consisting of expression profiles from genes activated by immunity system cells. Prevalent response patterns are identified by clustering the expression profiles using our multilevel clustering analysis.     

Structural insights into the functional interaction of KChIP1 with Shal-type K(+) channels

Four Kv channel-interacting proteins (KChIP1 through KChIP4) interact directly with the N-terminal domain of three Shal-type voltage-gated potassium channels (Kv4.1, Kv4.2, and Kv4.3) to modulate cell surface expression and function of Kv4 channels. Here we report a 2.0 Angstrom crystal structure of the core domain of KChIP1 (KChIP1*) in complex with the N-terminal fragment of Kv4.2 (Kv4.2N30). The complex reveals a clam-shaped dimeric assembly. Four EF-hands from each KChIP1 form each shell of the clam. The N-terminal end of Kv4.2 forming an alpha helix (alpha1) and the C-terminal alpha helix (H10) of KChIP1 are enclosed nearly coaxially by these shells. As a result, the H10 of KChIP1 and alpha1 of Kv4.2 mediate interactions between these two molecules, structurally reminiscent of the interactions between calmodulin and its target peptides. Site-specific mutagenesis combined with functional characterization shows that those interactions mediated by alpha1 and H10 are essential to the modulation of Kv4.2 by KChIPs.     

Consensus clustering and functional interpretation of gene-expression data

Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus set of clusters from a number of clustering methods should improve confidence in gene-expression analysis. Here we introduce consensus clustering, which provides such an advantage. When coupled with a statistically based gene functional analysis, our method allowed the identification of novel genes regulated by NFκB and the unfolded protein response in certain B-cell lymphomas.     

Multi-criteria clustering in genotype-environment interaction problems

Summary Significant genotype-environment interactions in an ANOVA can be found for a number of reasons: one is the differences in the among-environments variances for each genotype, another is the differences in the ordering of the environments by each genotype. Using conditional clustering, groups may be formed in which the means, variances and patterns are used simultaneously but separately to decide on group homogeneity. Contribution No. I-685 from the Engineering and Statistical Research Institute     

Structural and functional modularity of voltage-gated potassium channels

Sequence similarity among known potassium channels indicates the voltage-gated potassium channels consist of two modules: the N-terminal portion of the channel up to and including transmembrane segment S4, called in this paper the 'sensor' module, and the C-terminal portion from transmembrane segment S5 onwards, called the 'pore' module. We investigated the functional role of these modules by constructing chimeric channels which combine the 'sensor' from one native voltage-gated channel, mKv1.1, with the 'pore' from another, Shaker H4, and vice versa. Functional studies of the wild type and chimeric channels show that these modules can operate outside their native context. Each channel has a unique conductance-voltage relation. Channels incorporating the mKv1.1 sensor module have similar rates of activation while channels having the Shaker pore module show similar rates of deactivation. This observation suggests the mKv1.1 sensor module limits activation and the Shaker pore module determines deactivation. We propose a model that explains the observed equilibrium and kinetic properties of the chimeric constructs in terms of the characteristics of the native modules and a novel type of intrasubunit cooperativity. The properties ascribed to the modules are the same whether the modules function in their native context or have been assembled into a chimera.     

Comparing and contrasting Escherichia coli and Mycobacterium tuberculosis mechanosensitive channels (MscL). New gain of function mutations in the loop region

Sequence analysis of 35 putative MscL homologues was used to develop an optimal alignment for Escherichia coli and Mycobacterium tuberculosis MscL and to place these homologues into sequence subfamilies. By using this alignment, previously identified E. coli MscL mutants that displayed severe and very severe gain of function phenotypes were mapped onto the M. tuberculosis MscL sequence. Not all of the resulting M. tuberculosis mutants displayed a gain of function phenotype; for instance, normal phenotypes were noted for mutations at Ala(20), the analogue of the highly sensitive Gly(22) site in E. coli. A previously unnoticed intersubunit hydrogen bond in the extracellular loop region of the M. tuberculosis MscL crystal structure has been analyzed. Cross-linkable residues were substituted for the residues involved in the hydrogen bond, and cross-linking studies indicated that these sites are spatially close under physiological conditions. In general, mutation at these positions results in a gain of function phenotype, which provides strong evidence for the importance of the loop region in MscL channel function. No analogue to this interesting interaction could be found in E. coli MscL by sequence alignment. Taken together, these results indicate that caution should be exercised in using the M. tuberculosis MscL crystal structure to analyze previous functional studies of E. coli MscL.     

The protein interaction networks of mucolipins and two-pore channels

BackgroundThe endolysosomal, non-selective cation channels, two-pore channels (TPCs) and mucolipins (TRPMLs), regulate intracellular membrane dynamics and autophagy. While partially compensatory for each other, isoform-specific intracellular distribution, cell-type expression patterns, and regulatory mechanisms suggest different channel isoforms confer distinct properties to the cell.Scope of reviewBriefly, established TPC/TRPML functions and interaction partners (‘interactomes’) are discussed. Novel TRPML3 interactors are shown, and a meta-analysis of experimentally obtained channel interactomes conducted. Accordingly, interactomes are compared and contrasted, and subsequently described in detail for TPC1, TPC2, TRPML1, and TRPML3.Major conclusionsTPC interactomes are well-defined, encompassing intracellular membrane organisation proteins. TRPML interactomes are varied, encompassing cardiac contractility- and chaperone-mediated autophagy proteins, alongside regulators of intercellular signalling.General significanceComprising recently proposed targets to treat cancers, infections, metabolic disease and neurodegeneration, the advancement of TPC/TRPML understanding is of considerable importance. This review proposes novel directions elucidating TPC/TRPML relevance in health and disease. This article is part of a Special Issue entitled: ECS Meeting edited by Claus Heizmann, Joachim Krebs and Jacques Haiech.     

In vitro synthesis and oligomerization of the mechanosensitive channel of large conductance, MscL, into a functional ion channel

Elucidation of high-resolution structures of integral membrane proteins is drastically lagging behind that of cytoplasmic proteins. In vitro synthesis and insertion of membrane proteins into synthetic membranes could circumvent bottlenecks associated with the overexpression of membrane proteins, producing sufficient membrane-inserted, correctly folded protein for structural studies. Using the mechanosensitive channel of large conductance, MscL, as a model protein we show that in vitro synthesized MscL inserts into YidC-containing proteoliposomes and oligomerizes to form a homopentamer. Using planar membrane bilayers, we show that MscL forms functional ion channels capable of ion transport. These data demonstrate that membrane insertion of MscL is YidC mediated, whereas subsequent oligomerization into a functional homopentamer is a spontaneous event.     

An ensemble framework for clustering protein-protein interaction networks

MOTIVATION: Protein-Protein Interaction (PPI) networks are believed to be important sources of information related to biological processes and complex metabolic functions of the cell. The presence of biologically relevant functional modules in these networks has been theorized by many researchers. However, the application of traditional clustering algorithms for extracting these modules has not been successful, largely due to the presence of noisy false positive interactions as well as specific topological challenges in the network. RESULTS: In this article, we propose an ensemble clustering framework to address this problem. For base clustering, we introduce two topology-based distance metrics to counteract the effects of noise. We develop a PCA-based consensus clustering technique, designed to reduce the dimensionality of the consensus problem and yield informative clusters. We also develop a soft consensus clustering variant to assign multifaceted proteins to multiple functional groups. We conduct an empirical evaluation of different consensus techniques using topology-based, information theoretic and domain-specific validation metrics and show that our approaches can provide significant benefits over other state-of-the-art approaches. Our analysis of the consensus clusters obtained demonstrates that ensemble clustering can (a) produce improved biologically significant functional groupings; and (b) facilitate soft clustering by discovering multiple functional associations for proteins. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

Discovering functional interaction patterns in protein-protein interaction networks

Background  

In recent years, a considerable amount of research effort has been directed to the analysis of biological networks with the availability of genome-scale networks of genes and/or proteins of an increasing number of organisms. A protein-protein interaction (PPI) network is a particular biological network which represents physical interactions between pairs of proteins of an organism. Major research on PPI networks has focused on understanding the topological organization of PPI networks, evolution of PPI networks and identification of conserved subnetworks across different species, discovery of modules of interaction, use of PPI networks for functional annotation of uncharacterized proteins, and improvement of the accuracy of currently available networks.