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  1. Article ; Online: Targeting Morphine-Responsive Neurons: Generation of a Knock-In Mouse Line Expressing Cre Recombinase from the Mu-Opioid Receptor Gene Locus.

    Bailly, Julie / Del Rossi, Natalie / Runtz, Léonie / Li, Jing-Jing / Park, DaWoon / Scherrer, Grégory / Tanti, Arnaud / Birling, Marie-Christine / Darcq, Emmanuel / Kieffer, Brigitte L

    eNeuro

    2020  Volume 7, Issue 3

    Abstract: The mu-opioid receptor (MOR) modulates nociceptive pathways and reward processing, and mediates the strong analgesic and addictive properties of both medicinal as well as abused opioid drugs. MOR function has been extensively studied, and tools to ... ...

    Abstract The mu-opioid receptor (MOR) modulates nociceptive pathways and reward processing, and mediates the strong analgesic and addictive properties of both medicinal as well as abused opioid drugs. MOR function has been extensively studied, and tools to manipulate or visualize the receptor protein are available. However, circuit mechanisms underlying MOR-mediated effects are less known, because genetic access to MOR-expressing neurons is lacking. Here we report the generation of a knock-in
    MeSH term(s) Animals ; Habenula/metabolism ; Integrases/genetics ; Mice ; Morphine/pharmacology ; Neurons/metabolism ; Receptors, Opioid, mu/genetics ; Receptors, Opioid, mu/metabolism
    Chemical Substances Receptors, Opioid, mu ; Morphine (76I7G6D29C) ; Cre recombinase (EC 2.7.7.-) ; Integrases (EC 2.7.7.-)
    Language English
    Publishing date 2020-05-29
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2800598-3
    ISSN 2373-2822 ; 2373-2822
    ISSN (online) 2373-2822
    ISSN 2373-2822
    DOI 10.1523/ENEURO.0433-19.2020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Quantification of wind damage to New Zealand's planted forests

    Moore, John R / Manley, Bruce R / Park, Dawoon / Scarrott, Carl J

    Forestry. 2013 Apr., v. 86, no. 2

    2013  

    Abstract: Wind has a significant impact on planted forests in New Zealand, but the extent of loss and its spatial and temporal variability have not been quantified. Therefore, a formal analysis was undertaken using a database containing 78 records of wind damage ... ...

    Abstract Wind has a significant impact on planted forests in New Zealand, but the extent of loss and its spatial and temporal variability have not been quantified. Therefore, a formal analysis was undertaken using a database containing 78 records of wind damage in planted forests that spanned the period between 1945 and 2010. Approximately 63 000 ha of damage was recorded during this period. The damage that occurred in a single event ranged from 2.8 to 26 000 ha, with a median of 90 ha, and in most cases was confined to a single wood supply region. The relative risk of wind damage for each wood supply region was estimated by calculating the percentage of total net stocked area (NSA) that has been damaged by wind. Across all wood supply regions, an average of 0.21 per cent of NSA per annum has been damaged by wind; however, in the most affected region, the average level of damage was 0.94 per cent of NSA per annum, whereas in the least affected region it was 0.03 per cent. The probability of different levels of annual damage was modelled along with the level of damage associated with different return periods using a generalized Pareto distribution. Using this model, the mean return period for 500 ha of damage was estimated to be 5.0 years with 95% confidence interval (4.5, 6.2) years, whereas for 1000 ha of damage it was estimated to be 6.4 (4.8, 9.9) years.
    Keywords confidence interval ; databases ; forests ; models ; relative risk ; temporal variation ; wind ; wind damage ; wood ; New Zealand
    Language English
    Dates of publication 2013-04
    Size p. 173-183.
    Publishing place Oxford University Press
    Document type Article
    ZDB-ID 212942-5
    ISSN 0015-752X
    ISSN 0015-752X
    DOI 10.1093/forestry/cps076
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 769: Show issues

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  3. Article: Quantification of wind damage to New Zealand's planted forests

    Moore, John R. / Manley, Bruce R. / Park, Dawoon / Scarrott, Carl J.

    Forestry

    Volume v. 86,, Issue no. 2

    Abstract: Wind has a significant impact on planted forests in New Zealand, but the extent of loss and its spatial and temporal variability have not been quantified. Therefore, a formal analysis was undertaken using a database containing 78 records of wind damage ... ...

    Abstract Wind has a significant impact on planted forests in New Zealand, but the extent of loss and its spatial and temporal variability have not been quantified. Therefore, a formal analysis was undertaken using a database containing 78 records of wind damage in planted forests that spanned the period between 1945 and 2010. Approximately 63 000 ha of damage was recorded during this period. The damage that occurred in a single event ranged from 2.8 to 26 000 ha, with a median of 90 ha, and in most cases was confined to a single wood supply region. The relative risk of wind damage for each wood supply region was estimated by calculating the percentage of total net stocked area (NSA) that has been damaged by wind. Across all wood supply regions, an average of 0.21 per cent of NSA per annum has been damaged by wind; however, in the most affected region, the average level of damage was 0.94 per cent of NSA per annum, whereas in the least affected region it was 0.03 per cent. The probability of different levels of annual damage was modelled along with the level of damage associated with different return periods using a generalized Pareto distribution. Using this model, the mean return period for 500 ha of damage was estimated to be 5.0 years with 95% confidence interval (4.5, 6.2) years, whereas for 1000 ha of damage it was estimated to be 6.4 (4.8, 9.9) years.
    Keywords models ; forests ; wind ; wood ; wind damage ; relative risk ; databases ; confidence interval ; temporal variation
    Language English
    Document type Article
    ISSN 0015-752X
    Database AGRIS - International Information System for the Agricultural Sciences and Technology

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    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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