Showing 1,781 - 1,800 results of 108,451 for search '(( a point decrease ) OR ( 5 ((((wt decrease) OR (nn decrease))) OR (a decrease)) ))', query time: 1.64s Refine Results
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    GluN2A(D731N) enhances sensitivity to endogenous proton and zinc ions. by Kai Gao (120150)

    Published 2017
    “…<p>(<b>A</b>) The composite proton concentration-response curves show an enhanced sensitivity of the GluN2A(D731N)-containing receptors to proton compared to the WT NMDA receptors; the abscissa shows hydrogen ion activity. …”
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    GluN2A(D731N) reduces the agonist potency. by Kai Gao (120150)

    Published 2017
    “…<p>(<b>A,B</b>) Representative TEVC recordings obtained from oocytes expressing WT GluN1/GluN2A (WT 2A) receptors (<b>A</b>) and GluN1/GluN2A(D731N) (2A-D731N) receptors (<b>B</b>) in which the currents were evoked by increasing concentrations (μM) of glutamate (in the presence of 100 μM glycine) at the holding potential of -40 mV. …”
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    Increased amount of phosphorylated proinflammatory osteopontin in rheumatoid arthritis synovia is associated to decreased tartrate-resistant acid phosphatase 5B/5A ratio by Jani Luukkonen (4339744)

    Published 2017
    “…The TRAcP 5B/5A ratio was decreased in RA and correlated negatively with the amount of phospho-OPN (p<0.05). …”
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    APB5, but not APA5, decreases apoptosis in alveolar epithelial cells in lungs of BLM-treated mice. by Masami Kishi (6167105)

    Published 2018
    “…The administration of APA5 did not change the number of TUNEL-positive cells from that in BLM-treated mice, whereas that of APB5 significantly decreased them. …”
  15. 1795

    S1/2<sup>-/-</sup> mice display novelty induced hyperactivity, decreased anxiety and exploratory behavior and working memory disturbances. by Paul C. Baier (650225)

    Published 2014
    “…WT: n = 24, S1/2<sup>-/-</sup>: n = 26. A) Novelty-induced hyperactivity in S1/2<sup>-/-</sup> mice as assessed by moving distance in the open field (p<sub>MW</sub> = 0.0006). …”
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    A combined algorithm to distinguish between IB and NC models based on the differences in binding kinetics and DynR temporal evolution. by Federico Sevlever (8934533)

    Published 2020
    “…In Examples 2 to 7, the fits are both bad (2, 3, 6) or both good (4, 5, 7), so <b><i>C</i></b> does not allow a decision and further analysis is needed. …”
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