Metabolomics of neural progenitor cells: a novel approach to biomarker discovery.

Finding biomarkers of human neurological diseases is one of the most pressing goals of modern medicine. Most neurological disorders are recognized too late because of the lack of biomarkers that can identify early pathological processes in the living brain. Late diagnosis leads to late therapy and poor prognosis. Therefore, during the past decade, a major endeavor of clinical investigations in neurology has been the search for diagnostic and prognostic biomarkers of brain disease. Recently, a new field of metabolomics has emerged, aiming to investigate metabolites within the cell/tissue/ organism as possible biomarkers. Similarly to other "omics" fields, metabolomics offers substantial information about the status of the organism at a given time point. However, metabolomics also provides functional insight into the biochemical status of a tissue, which results from the environmental effects on its genome background. Recently, we have adopted metabolomics techniques to develop an approach that combines both in vitro analysis of cellular samples and in vivo analysis of the mammalian brain. Using proton magnetic resonance spectroscopy, we have discovered a metabolic biomarker of neural stem/progenitor cells (NPCs) that allows the analysis of these cells in the live human brain. We have developed signal-processing algorithms that can detect metabolites present at very low concentration in the live human brain and can indicate possible pathways impaired in specific diseases. Herein, we present our strategy for both cellular and systems metabolomics, based on an integrative processing of the spectroscopy data that uses analytical tools from both metabolomic and spectroscopy fields. As an example of biomarker discovery using our approach, we present new data and discuss our previous findings on the NPC biomarker. Our studies link systems and cellular neuroscience through the functions of specific metabolites. Therefore, they provide a functional insight into the brain, which might eventually lead to discoveries of clinically useful biomarkers of the disease.

Identification of a trafficking determinant localized to the Kv1 potassium channel pore.

The repertoire of Kv1 potassium channels expressed in presynaptic terminals of mammalian central neurons is shaped by intrinsic trafficking signals that determine surface-expression efficiencies of homomeric and heteromeric Kv1 channel complexes. Here, we show that a determinant controlling surface expression of Kv1 channels is localized to the highly conserved pore region. Point-mutation analysis revealed two residues as critical for channel trafficking, one in the extracellular "turret" domain and one in the region distal to the selectivity filter. Interestingly, these same residues also form the binding sites for polypeptide neurotoxins. Our findings demonstrate a previously uncharacterized function for the channel-pore domain as a regulator of channel trafficking.

Episodic ataxia type-1 mutations in the Kv1.1 potassium channel display distinct folding and intracellular trafficking properties.

Episodic ataxia type 1 (EA-1) is a neurological disorder arising from mutations in the Kv1.1 potassium channel alpha-subunit. EA-1 patients exhibit substantial phenotypic variability resulting from at least 14 distinct EA-1 point mutations. We found that EA-1 missense mutations generate mutant Kv1.1 subunits with folding and intracellular trafficking properties indistinguishable from wild-type Kv1.1. However, the single identified EA-1 nonsense mutation exhibits intracellular aggregation and detergent insolubility. This phenotype can be transferred to co-assembled Kv1 alpha- and Kv beta-subunits associated with Kv1.1 in neurons. These results suggest that as in many neurodegenerative disorders, intracellular aggregation of misfolded Kv1.1-containing channels may contribute to the pathophysiology of EA-1.

Subunit composition determines Kv1 potassium channel surface expression.

Shaker-related or Kv1 voltage-gated K(+) channels play critical roles in regulating the excitability of mammalian neurons. Native Kv1 channel complexes are octamers of four integral membrane alpha subunits and four cytoplasmic beta subunits, such that a tremendous diversity of channel complexes can be assembled from the array of alpha and beta subunits expressed in the brain. However, biochemical and immunohistochemical studies have demonstrated that only certain complexes predominate in the mammalian brain, suggesting that regulatory mechanisms exist that ensure plasma membrane targeting of only physiologically appropriate channel complexes. Here we show that Kv1 channels assembled as homo- or heterotetrameric complexes had distinct surface expression characteristics in both transfected mammalian cells and hippocampal neurons. Homotetrameric Kv1.1 channels were localized to endoplasmic reticulum, Kv1.4 channels to the cell surface, and Kv1.2 channels to both endoplasmic reticulum and the cell surface. Heteromeric assembly with Kv1.4 resulted in dose-dependent increases in cell surface expression of coassembled Kv1.1 and Kv1.2, while coassembly with Kv1.1 had a dominant-negative effect on Kv1.2 and Kv1.4 surface expression. Coassembly with Kv beta subunits promoted cell surface expression of each Kv1 heteromeric complex. These data suggest that subunit composition and stoichiometry determine surface expression characteristics of Kv1 channels in excitable cells.

PSD-95 and SAP97 exhibit distinct mechanisms for regulating K(+) channel surface expression and clustering.

Mechanisms of ion channel clustering by cytoplasmic membrane-associated guanylate kinases such as postsynaptic density 95 (PSD-95) and synapse-associated protein 97 (SAP97) are poorly understood. Here, we investigated the interaction of PSD-95 and SAP97 with voltage-gated or Kv K(+) channels. Using Kv channels with different surface expression properties, we found that clustering by PSD-95 depended on channel cell surface expression. Moreover, PSD-95-induced clusters of Kv1 K(+) channels were present on the cell surface. This was most dramatically demonstrated for Kv1.2 K(+) channels, where surface expression and clustering by PSD-95 were coincidentally promoted by coexpression with cytoplasmic Kvbeta subunits. Consistent with a mechanism of plasma membrane channel-PSD-95 binding, coexpression with PSD-95 did not affect the intrinsic surface expression characteristics of the different Kv channels. In contrast, the interaction of Kv1 channels with SAP97 was independent of Kv1 surface expression, occurred intracellularly, and prevented further biosynthetic trafficking of Kv1 channels. As such, SAP97 binding caused an intracellular accumulation of each Kv1 channel tested, through the accretion of SAP97 channel clusters in large (3-5 microm) ER-derived intracellular membrane vesicles. Together, these data show that ion channel clustering by PSD-95 and SAP97 occurs by distinct mechanisms, and suggests that these channel-clustering proteins may play diverse roles in regulating the abundance and distribution of channels at synapses and other neuronal membrane specializations.

Generation and characterization of subtype-specific monoclonal antibodies to K+ channel alpha- and beta-subunit polypeptides.

Molecular characterization of mammalian voltage-sensitive K+ channel genes and their expression became possible with the cloning of the Shaker locus of Drosophila. However, analysis of the expression patterns and subunit composition of native K+ channel protein complexes requires immunological probes specific for the individual K+ channel gene products expressed in excitable tissue. Here, we describe the generation and characterization of monoclonal antibodies (mAbs) against eight distinct mammalian K+ channel polypeptides; the Kv1.1, Kv1.2, Kv1.4, Kv1.5 and Kv1.6 Shaker-related alpha-subunits, the Kv2.1 Shab-related alpha-subunit, and the Kv beta 1 and Kv beta 2 beta-subunits. We characterized the subtype-specificity of these mAbs against native K+ channels in mammalian brain and against recombinant K+ channels expressed in transfected mammalian cells. In addition, we used these mAbs to investigate the cellular and subcellular distribution of the corresponding polypeptides in rat cerebral cortex, as well as their expression levels across brain regions.