692 research outputs found

    Huntington's disease and its therapeutic target genes: a global functional profile based on the HD Research Crossroads database.

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    BACKGROUND: Huntington's disease (HD) is a fatal progressive neurodegenerative disorder caused by the expansion of the polyglutamine repeat region in the huntingtin gene. Although the disease is triggered by the mutation of a single gene, intensive research has linked numerous other genes to its pathogenesis. To obtain a systematic overview of these genes, which may serve as therapeutic targets, CHDI Foundation has recently established the HD Research Crossroads database. With currently over 800 cataloged genes, this web-based resource constitutes the most extensive curation of genes relevant to HD. It provides us with an unprecedented opportunity to survey molecular mechanisms involved in HD in a holistic manner. METHODS: To gain a synoptic view of therapeutic targets for HD, we have carried out a variety of bioinformatical and statistical analyses to scrutinize the functional association of genes curated in the HD Research Crossroads database. In particular, enrichment analyses were performed with respect to Gene Ontology categories, KEGG signaling pathways, and Pfam protein families. For selected processes, we also analyzed differential expression, using published microarray data. Additionally, we generated a candidate set of novel genetic modifiers of HD by combining information from the HD Research Crossroads database with previous genome-wide linkage studies. RESULTS: Our analyses led to a comprehensive identification of molecular mechanisms associated with HD. Remarkably, we not only recovered processes and pathways, which have frequently been linked to HD (such as cytotoxicity, apoptosis, and calcium signaling), but also found strong indications for other potentially disease-relevant mechanisms that have been less intensively studied in the context of HD (such as the cell cycle and RNA splicing, as well as Wnt and ErbB signaling). For follow-up studies, we provide a regularly updated compendium of molecular mechanism, that are associated with HD, at http://hdtt.sysbiolab.eu Additionally, we derived a candidate set of 24 novel genetic modifiers, including histone deacetylase 3 (HDAC3), metabotropic glutamate receptor 1 (GRM1), CDK5 regulatory subunit 2 (CDK5R2), and coactivator 1ß of the peroxisome proliferator-activated receptor gamma (PPARGC1B). CONCLUSIONS: The results of our study give us an intriguing picture of the molecular complexity of HD. Our analyses can be seen as a first step towards a comprehensive list of biological processes, molecular functions, and pathways involved in HD, and may provide a basis for the development of more holistic disease models and new therapeutics

    New label-free methods for protein relative quantification applied to the investigation of an animal model of Huntington Disease

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    Spectral Counts approaches (SpCs) are largely employed for the comparison of protein expression profiles in label-free (LF) differential proteomics applications. Similarly, to other comparative methods, also SpCs based approaches require a normalization procedure before Fold Changes (FC) calculation. Here, we propose new Complexity Based Normalization (CBN) methods that introduced a variable adjustment factor (f), related to the complexity of the sample, both in terms of total number of identified proteins (CBN(P)) and as total number of spectral counts (CBN(S)). Both these new methods were compared with the Normalized Spectral Abundance Factor (NSAF) and the Spectral Counts log Ratio (Rsc), by using standard protein mixtures. Finally, to test the robustness and the effectiveness of the CBNs methods, they were employed for the comparative analysis of cortical protein extract from zQ175 mouse brains, model of Huntington Disease (HD), and control animals (raw data available via ProteomeXchange with identifier PXD017471). LF data were also validated by western blot and MRM based experiments. On standard mixtures, both CBN methods showed an excellent behavior in terms of reproducibility and coefficients of variation (CVs) in comparison to the other SpCs approaches. Overall, the CBN(P) method was demonstrated to be the most reliable and sensitive in detecting small differences in protein amounts when applied to biological samples

    New label-free methods for protein relative quantification applied to the investigation of an animal model of Huntington Disease

    Get PDF
    Spectral Counts approaches (SpCs) are largely employed for the comparison of protein expression profiles in label-free (LF) differential proteomics applications. Similarly, to other comparative methods, also SpCs based approaches require a normalization procedure before Fold Changes (FC) calculation. Here, we propose new Complexity Based Normalization (CBN) methods that introduced a variable adjustment factor (f), related to the complexity of the sample, both in terms of total number of identified proteins (CBN(P)) and as total number of spectral counts (CBN(S)). Both these new methods were compared with the Normalized Spectral Abundance Factor (NSAF) and the Spectral Counts log Ratio (Rsc), by using standard protein mixtures. Finally, to test the robustness and the effectiveness of the CBNs methods, they were employed for the comparative analysis of cortical protein extract from zQ175 mouse brains, model of Huntington Disease (HD), and control animals (raw data available via ProteomeXchange with identifier PXD017471). LF data were also validated by western blot and MRM based experiments. On standard mixtures, both CBN methods showed an excellent behavior in terms of reproducibility and coefficients of variation (CVs) in comparison to the other SpCs approaches. Overall, the CBN(P) method was demonstrated to be the most reliable and sensitive in detecting small differences in protein amounts when applied to biological samples

    Huntingtin’s neuroprotective activity occurs via inhibition of pro-caspase 9 processing

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    Huntington's Disease is an inherited neurodegenerative disease that affects the medium spiny neurons in the striatum. The disease is caused by the expansion of a polyglutamine sequence in the N terminus of Huntingtin (Htt), a widely expressed protein. Recently, we have found that Htt is an antiapoptotic protein in striatal cells and acts by preventing caspase-3 activity. Here we report that Htt overexpression in other CNS-derived cells can protect them from more than 20 days exposure to fatal stimuli. In particular, we found that cytochrome c continues to be released from mitochondria into the cytosol of cells that overexpress normal Htt. However, procaspase-9 is not processed, indicating that wild-type Htt (wtHtt) acts downstream of cytochrome c release. These data show that Htt inhibits neuronal cell death by interfering with the activity of the apoptosome complex

    Phylogenetic comparison of huntingtin homologues reveals the appearance of a primitive polyQ in sea urchin

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    Huntingtin is a completely soluble 3,144 amino acid (aa) protein characterized by the presence of an amino-terminal polymorphic polyglutamine (polyQ) tract, whose aberrant expansion causes the progressively neurodegenerative Huntington's disease (HD). Biological evidence indicates that huntingtin (htt) is beneficial to cells (particularly to brain neurons) and that loss of its neuronal function may contribute to HD. The exact protein domains involved in its neuroprotective function are unknown. Evolutionary analyses of htt primary aa have so far been limited to a few species, but its thorough assessment may help to clarify the functions emerging during evolution. We made an extensive comparative analysis of the available htt protein homologues from different organisms along the metazoan phylogenetic tree and defined the presence of 3 different conservative blocks corresponding to human htt aa 1-386 (htt1), 683-1,586 (htt2), and 2,437-3,078 (htt3), in which HEAT (Huntingtin, Elongator factor3, the regulatory A subunit of protein phosphatase 2A, and TOR1) repeats are well conserved. We also describe the cloning and sequencing of sea urchin htt mRNA, the oldest deuterostome homologue so far available. Multiple alignment shows the first appearance of a primitive polyQ in sea urchin, which predates an ancestral polyQ sequence in a nonchordate environment and defines the polyQ characteristic as being typical of the deuterostome branch. The fact that glutamines have conserved positions in deuterostomes and the polyQ size increases during evolution suggests that the protein has a possibly Q-dependent role. Finally, we report an evident relaxing constraint of the N-terminal block in Ciona and drosophilids that correlates with the absence of polyQ and which may indicate that the N-terminal portion of htt has evolved different functions in Ciona and protostome

    Sorting of Fas ligand to secretory lysosomes is regulated by mono-ubiquitylation and phosphorylation

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    Fas ligand (FasL), a potent mediator of apoptosis expressed by CTL and NK cells, is sorted into the inner vesicles of secretory lysosomes for release via exosome-like vesicles. Previous studies identified a proline-rich domain in the cytoplasmic tail required for sorting FasL to secretory lysosomes, but the mechanisms by which this occurs have not been identified. Here we demonstrate that the PRD of FasL binds Fgr, Fyn and Lyn tyrosine kinases, leading to phosphorylation of FasL. Loss of phosphorylation reduces internalisation of FasL into multivesicular bodies. FasL is also directly mono-ubiquitylated at lysines flanking the PRD and mutation of these lysines reduces MVB localisation of FasL. Phosphorylation is not required for ubiquitylation because FasL lacking all tyrosines undergoes mono-ubiquitylation. These studies show that phosphorylation and ubiquitin signals regulate the sorting of FasL to secretory lysosomes by controlling entry into multivesicular bodies
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