Lidia A. Gardner

Assembly of an SAP97-AKAP79-cAMP-dependent protein kinase scaffold at the type 1 PSD-95/DLG/ZO1 motif of the human β1-adrenergic receptor generates a receptosome involved in receptor recycling and networking

Appropriate trafficking of the β1-adrenergic receptor (β1-AR) after agonist-promoted internalization is crucial for the resensitization of its signaling pathway. Efficient recycling of the β1-AR required the binding of the protein kinase A anchoring protein-79 (AKAP79) to the carboxyl terminus of the β1-AR (Gardner, L. A., Tavalin, S. A., Goehring, A., Scott, J. D., and Bahouth, S. W. (2006) J. Biol. Chem. 281, 33537-33553). In this study we show that AKAP79 forms a complex with the type 1 PDZ-binding sequence (ESKV) at the extreme carboxyl terminus of the β1-AR, which is mediated by the membrane-associated guanylate kinase (MAGUK) protein SAP97. Thus, the PDZ and its associated SAP97-AKAP79 complex are involved in targeting the cyclic AMP-dependent protein kinase (PKA) to the β1-AR. The PDZ and its scaffold were required for efficient recycling of the β1-AR and for PKA-mediated phosphorylation of the β1-AR at Ser312. Overexpression of the catalytic subunit of PKA or mutagenesis of Ser312 to the phosphoserine mimic aspartic acid both rescued the recycling of the trafficking-defective β1-ARΔ PDZ mutant. Thus, trafficking signals transmitted from the PDZ-associated scaffold in the carboxyl terminus of the β1-AR to Ser312 in the 3rd intracellular loop (3rd IC) were paramount in setting the trafficking itinerary of the β1-AR. The data presented here show that a novel β1-adrenergic receptosome is organized at the β1-AR PDZ to generate a scaffold essential for trafficking and networking of the β1-AR.

Characterization of the Residues in Helix 8 of the Human β1-Adrenergic Receptor That Are Involved in Coupling the Receptor to G Proteins

Several key amino acids within amphipathic helix 8 of the human β1-adrenergic receptor (β1-AR) were mutagenized to characterize their role in signaling by G protein-coupled receptors. Mutagenesis of phenylalanine at position 383 in the hydrophobic interface to histidine (F383H) prevented the biosynthesis of the receptor, indicating that the orientation of helix 8 is important for receptor biosynthesis. Mutagenesis of aspartic acid at position 382 in the hydrophilic interface to leucine (D382L) reduced the binding and uncoupled the receptor from G protein activation. Mutagenesis of the basic arginine residue at position 384 to glutamine (R384Q) or to glutamic acid (R384E) increased basal and agonist-stimulated adenylyl cyclase activities. R384Q and R384E displayed features associated with constitutively active receptors because inverse agonists markedly reduced their elevated basal adenylyl cyclase activities. Isoproterenol increased the phosphorylation and promoted the desensitization of the Gly389 or Arg389 allelic variants of the wild type β1-AR but failed to produce these effects in R384Q and R384E, because these receptors were maximally phosphorylated and desensitized under basal conditions. In contrast to the membranous distribution of the wild type β1-AR, R384Q and R384E were localized mostly within intracellular punctate structures. Inverse agonists restored the membranous distribution of R384Q and R384E, indicating that they recycled normally when their constitutive internalization was blocked by inverse agonists. These data combined with computer modeling of the putative three-dimensional organization of helix 8 indicated that the amphipathic character of helix 8 and side chain projections of Asp382 and Arg384 within the hydrophilic interface might serve as a tethering site for the G protein.

AKAP79-mediated Targeting of the Cyclic AMP-dependent Protein Kinase to the β1-Adrenergic Receptor Promotes Recycling and Functional Resensitization of the Receptor

Resensitization of G protein-coupled receptors (GPCR) following prolonged agonist exposure is critical for restoring the responsiveness of the receptor to subsequent challenges by agonist. The 3′-5′ cyclic AMP-dependent protein kinase (PKA) and serine 312 in the third intracellular loop of the human β1-adrenergic receptor (β1-AR) were both necessary for efficient recycling and resensitization of the agonist-internalized β1-AR (Gardner, L. A., Delos Santos, N. M., Matta, S. G., Whitt, M. A., and Bahouth, S. W. (2004) J. Biol. Chem. 279, 21135-21143). Because PKA is compartmentalized near target substrates by interacting with protein kinase A anchoring proteins (AKAPs), the present study was undertaken to identify the AKAP involved in PKA-mediated phosphorylation of the β1-AR and in its recycling and resensitization. Here, we report that Ht-31 peptide-mediated disruption of PKA/AKAP interactions prevented the recycling and functional resensitization of heterologously expressed β1-AR in HEK-293 cells and endogenously expressed β1-AR in SK-N-MC cells and neonatal rat cortical neurons. Whereas several endogenous AKAPs were identified in HEK-293 cells, small interfering RNA-mediated down-regulation of AKAP79 prevented the recycling of the β1-AR in this cell line. Co-immunoprecipitations and fluorescence resonance energy transfer (FRET) microscopy experiments in HEK-293 cells revealed that the β1-AR, AKAP79, and PKA form a ternary complex at the carboxyl terminus of the β1-AR. This complex was involved in PKA-mediated phosphorylation of the third intracellular loop of the β1-AR because disruption of PKA/AKAP interactions or small interfering RNA-mediated down-regulation of AKAP79 both inhibited this response. Thus, AKAP79 provides PKA to phosphorylate the β1-AR and thereby dictate the recycling and resensitization itineraries of the β1-AR.

An Unbiased Systems Genetics Approach to Mapping Genetic Loci Modulating Susceptibility to Severe Streptococcal Sepsis

Striking individual differences in severity of group A streptococcal (GAS) sepsis have been noted, even among patients infected with the same bacterial strain. We had provided evidence that HLA class II allelic variation contributes significantly to differences in systemic disease severity by modulating host responses to streptococcal superantigens. Inasmuch as the bacteria produce additional virulence factors that participate in the pathogenesis of this complex disease, we sought to identify additional gene networks modulating GAS sepsis. Accordingly, we applied a systems genetics approach using a panel of advanced recombinant inbred mice. By analyzing disease phenotypes in the context of mice genotypes we identified a highly significant quantitative trait locus (QTL) on Chromosome 2 between 22 and 34 Mb that strongly predicts disease severity, accounting for 25%–30% of variance. This QTL harbors several polymorphic genes known to regulate immune responses to bacterial infections. We evaluated candidate genes within this QTL using multiple parameters that included linkage, gene ontology, variation in gene expression, cocitation networks, and biological relevance, and identified interleukin1 alpha and prostaglandin E synthases pathways as key networks involved in modulating GAS sepsis severity. The association of GAS sepsis with multiple pathways underscores the complexity of traits modulating GAS sepsis and provides a powerful approach for analyzing interactive traits affecting outcomes of other infectious diseases.

Susceptibility to severe streptococcal sepsis: use of a large set of isogenic mouse lines to study genetic and environmental factors

Variation in responses to pathogens is influenced by exposure history, environment and the hosts genetic status. We recently demonstrated that human leukocyte antigen class II allelic differences are a major determinant of the severity of invasive group A streptococcal (GAS) sepsis in humans. While in-depth controlled molecular studies on populations of genetically well-characterized humans are not feasible, it is now possible to exploit genetically diverse panels of recombinant inbred BXD mice to define genetic and environmental risk factors. Our goal in this study was to standardize the model and identify genetic and nongenetic covariates influencing invasive infection outcomes. Despite having common ancestors, the various BXD strains (n strains=33, n individuals=445) showed marked differences in survival. Mice from all strains developed bacteremia but exhibited considerable differences in disease severity, bacterial dissemination and mortality rates. Bacteremia and survival showed the expected negative correlation. Among nongenetic factors, age – but not sex or weight – was a significant predictor of survival (P=0.0005). To minimize nongenetic variability, we limited further analyses to mice aged 40–120 days and calculated a corrected relative survival index that reflects the number of days an animal survived post-infection normalized to all significant covariates. Genetic background (strain) was the most significant factor determining susceptibility (P⩽0.0001), thus underscoring the strong effect of host genetic variation in determining susceptibility to severe GAS sepsis. This model offers powerful unbiased forward genetics to map specific quantitative trait loci and networks of pathways modulating the severity of GAS sepsis.

Autoantibodies to Non-myelin Antigens as Contributors to the Pathogenesis of Multiple Sclerosis

For years, investigators have sought to prove that myelin antigens are the primary targets of autoimmunity in multiple sclerosis (MS). Recent experiments have begun to challenge this assumption, particularly when studying the neurodegenerative phase of MS. T-lymphocyte responses to myelin antigens have been extensively studied, and are likely early contributors to the pathogenesis of MS. Antibodies to myelin antigens have a much more inconstant association with the pathogenesis of MS. Recent studies indicate that antibodies to non-myelin antigens such as neurofilaments, neurofascin, RNA binding proteins and potassium channels may contribute to the pathogenesis of MS. The purpose of this review is to analyze recent studies that examine the role that autoantibodies to non-myelin antigens might play in the pathogenesis of MS.

Selective Targeting of Leukemic Cell Growth in Vivo and in Vitro Using a Gene Silencing Approach to Diminish S-Adenosylmethionine Synthesis

We exploited the fact that leukemic cells utilize significantly higher levels of S-adenosylmethionine (SAMe) than normal lymphocytes and developed tools that selectively diminished their survival under physiologic conditions. Using RNA interference gene silencing technology, we modulated the kinetics of methionine adenosyltransferase-II (MAT-II), which catalyzes SAMe synthesis from ATP and l-Met. Specifically, we silenced the expression of the regulatory MAT-IIβ subunit in Jurkat cells and accordingly shifted the \batchmode \documentclass[fleqn,10pt,legalpaper]{article} \usepackage{amssymb} \usepackage{amsfonts} \usepackage{amsmath} \pagestyle{empty} \begin{document} \(K_{m{\ }L-\mathrm{Met}}\) \end{document} of the enzyme 10–15-fold above the physiologic levels of l-Met, thereby reducing enzyme activity and SAMe pools, inducing excessive apoptosis and diminishing leukemic cell growth in vitro and in vivo. These effects were reversed at unphysiologically high l-Met (>50 μm), indicating that diminished leukemic cell growth at physiologic l-Met levels was a direct result of the increase in MAT-II \batchmode \documentclass[fleqn,10pt,legalpaper]{article} \usepackage{amssymb} \usepackage{amsfonts} \usepackage{amsmath} \pagestyle{empty} \begin{document} \(K_{m{\ }L-\mathrm{Met}}\) \end{document} due to MAT-IIβ ablation and the consequent reduction in SAMe synthesis. In our NOD/Scid IL-2Rγnull humanized mouse model of leukemia, control shRNA-transduced Jurkat cells exhibited heightened engraftment, whereas cells lacking MAT-IIβ failed to engraft for up to 5 weeks post-transplant. These stark differences in malignant cell survival, effected by MAT-IIβ ablation, suggest that it may be possible to use this approach to disadvantage leukemic cell survival in vivo with little to no harm to normal cells.

Rab11a and its binding partners regulate the recycling of the ß1-adrenergic receptor

ß1-adrenergic receptors (ß1-AR) are internalized in response to agonists and then recycle back for another round of signaling. The serine 312 to alanine mutant of the ß1-AR (S312A) is internalized but does not recycle. We determined that WT ß1-AR and S312A were internalized initially to an early sorting compartment because they colocalized by >70% with the early endosomal markers rab5a and early endosomal antigen-1 (EEA1). Subsequently, the WT ß1-AR trafficked via rab4a-expressing sorting endosomes to recycling endosomes. In recycling endosomes WT ß1-AR were colocalized by >70% with the rab11 GTPase. S312A did not colocalize with either rab4a or rab11, instead they exited from early endosomes to late endosomes/lysosomes in which they were degraded. Rab11a played a prominent role in recycling of the WT ß1-AR because dominant negative rab11a inhibited, while constitutively active rab11a accelerated the recycling of the ß1-AR. Next, we determined the effect of each of the rab11-interacting proteins on trafficking of the WT ß1-AR. The recycling of the ß1-AR was markedly inhibited when myosin Vb, FIP2, FIP3 and rabphillin were knocked down. These data indicate that rab11a and a select group of its binding partners play a prominent role in recycling of the human ß1-AR.

Antibodies to an Intracellular Antigen Penetrate Neuronal Cells and Cause Deleterious Effects

Multiple sclerosis (MS) is an autoimmune disease that is increasingly being recognized as a neurodegenerative disorder. Patients with MS produce autoantibodies to heterogenous nuclear ribonucleoprotein A1 (hnRNPA1). A multitude of studies indicate that T-lymphocytes, B-lymphocytes and macrophages contribute to MS pathogenesis. However, a direct autoantibody impact on neuronal cells has received limited attention. This could be explained by the general belief that autoantibodies lack the ability to penetrate neurons. hnRNP A1 is an intracellular RNA binding protein that exports RNA from the nucleus to the cytoplasm. In this study, we investigated possible mechanisms of antibody penetration into neuronal cells. Our results show that anti-hnRNP A1 antibodies and control IgG penetrate SK-N-SH neuronal cells through clathrin-mediated endocytosis. In contrast to control antibodies, anti-hnRNP A1 antibodies produced deleterious effects on the neuronal cells including altered ATP levels and increased caspase 3/7 levels (leading to apoptosis). Remarkably, anti-hnRNP A1 antibodies that targeted the hnRNP A1 M9 domain (its nuclear export/localization sequence) caused redistribution of endogenous hnRNPA1 protein in neuronal cells. These findings indicate that anti-hnRNPA1 antibodies might contribute to the pathogenesis of MS.

Bioinformatics analysis of immune response to group A streptococcal sepsis integrating quantitative trait loci mapping with genome-wide expression studies

Individuals infected with genetically identical group Astreptococcal (GAS) strains develop starkly different dis-ease progression and outcome [1]. We reported that HLAclass II allelic variation contributes to differences in sys-temic disease severity by modulating host responses tostreptococcal superantigens [2]. Inasmuch as the bacteriaproduce additional virulence factors, we sought to iden-tify additional host gene networks modulating GAS sep-sis. Accordingly, we used two parallel approaches todefine these gene networks, quantitative trait loci (QTL)mapping and genome-wide transcriptome analyses. Tomap QTLs modulating response to severe GAS sepsis, weused advanced recombinant inbred (ARI) strains, whichare genetically diverse strains that have common ancestralparents [3]. We chose to use BXD strains of ARI mice, asparental strains C57Bl/6J (B6) and DBA/2J (D2) show dif-ferential response to GAS sepsis and BXD strains are heav-ily genotyped at 13377 SNPs and microsatellite markers.BXD strains, derived from B6 and D2 parental strains, arehomozygous inbred lines, each of which is genetically dis-tinct. Using 30 different BXD strains (n = 5–26 mice perstrain), we identified significant QTLs on chromosome 2that strongly modulate disease severity [4]. To narrowdown these mapped QTLs, we applied bioinformaticstools including: linkage, interval specific haplotype analy-ses, and gene ontology and we identified multiple candi-date gene networks modulating immune response tosepsis.As a parallel approach, we performed genome-wide tran-scriptome analyses comparing resistant and susceptiblestrains. This comparison revealed 93 genes that were dif-ferentially regulated in mice spleens 36 h post-infection.These genes belonged to gene networks involvingimmune response to sepsis; particularly notable exampleswere prostaglandin (Ptges) and interleukin1 (IL-1) familypathways. Quantitative expression analyses, using realtime PCR, of prostaglandin E synthase (