Showing 10,761 - 10,780 results of 106,665 for search '(( 50 ((we decrease) OR (mean decrease)) ) OR ( 5 ((wt decrease) OR (a decrease)) ))', query time: 1.65s Refine Results
  1. 10761

    Exposure to EtBr decreases mtRNA in rat striatal co-cultures, purified neuronal cultures, and astrocytes. by Emily Booth Warren (4276333)

    Published 2017
    “…<p>(A-C) Log2-fold decrease in mtRNA expression after EtBr treatment assayed with RNASeq, in (A) NECos, (B), pure neuronal cultures, and (C) astrocytes. …”
  2. 10762

    The NK1-receptor antagonist ezlopitant significantly decreases the breakpoint for sucrose but not ethanol operant self-administration in rats. by Pia Steensland (362091)

    Published 2013
    “…<p>Ezlopitant (5 and 10 mg/kg i.p.) decreases the breakpoint for 5% sucrose using a PR schedule (<b>A</b>), but had no effect on the breakpoint for 10% ethanol (<b>B</b>). …”
  3. 10763

    Decreased <i>Pax2</i> expression in <i>p53<sup>−/−</sup></i> embryonic kidneys. by Zubaida Saifudeen (135684)

    Published 2012
    “…<b>B</b>) In situ hybridization. Decreased expression of <i>Pax2</i> mRNA at E12.5. …”
  4. 10764
  5. 10765
  6. 10766

    Tris(dithiolene) Complexes of Neodymium and Cerium:  Mononuclear Species, Chains, and Honeycomb Networks by Mathieu Roger (2459434)

    Published 2005
    “…Crystals of [Na(18c6)(py)<sub>2</sub>]<sub>2</sub>[Na(18c6)(py)][Nd(dddt)<sub>3</sub>(py)]·3py (<b>1</b>·3py) are built up from discrete mononuclear cationic and anionic species whereas crystals of {[Na(18c6)(py)<sub>2</sub>]<sub>0.5</sub>[Na(18c6)(py)<sub>1.5</sub>][Na<sub>1.5</sub>Nd(dddt)<sub>3</sub>]}<sub>∞</sub> (<b>2</b>) are composed of discrete [Na(18c6)(py)<i><sub>x</sub></i>]<sup>+</sup> cations and polymeric anionic two-dimensional layers in which the Nd(dddt)<sub>3</sub> units are linked to three neighbors by sodium atoms to form a honeycomb network. …”
  7. 10767
  8. 10768
  9. 10769
  10. 10770
  11. 10771
  12. 10772
  13. 10773

    Adenosine decreases the number of releasable vesicles and release probability without changing the rate of recovery from vesicle depletion. by Shouping Wang (402959)

    Published 2013
    “…The amplitude of EPSC evoked by each stimulus was measured by resetting the base line each time at a point within 0.5 ms before the beginning of each stimulation artifact. …”
  14. 10774
  15. 10775
  16. 10776

    VEGF and sFlt-1 mutants exhibit changes in stem cell marker gene expression by RT-qPCR. by Christopher R. Schlieve (3179439)

    Published 2016
    “…<p>(A) VEGF mutants demonstrated 0.55-fold reduction in Lgr5 expression compared to littermates (*p = 0.04). …”
  17. 10777

    Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

    Published 2023
    “…Here, we proposed the concept of “nonbioavailable substructures”, referring to substructures that are unfavorable to bioavailability. A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  18. 10778

    Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

    Published 2023
    “…Here, we proposed the concept of “nonbioavailable substructures”, referring to substructures that are unfavorable to bioavailability. A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  19. 10779

    Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

    Published 2023
    “…Here, we proposed the concept of “nonbioavailable substructures”, referring to substructures that are unfavorable to bioavailability. A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”
  20. 10780

    Deciphering Nonbioavailable Substructures Improves the Bioavailability of Antidepressants by Serotonin Transporter by Zhi-Zheng Wang (6056033)

    Published 2023
    “…Here, we proposed the concept of “nonbioavailable substructures”, referring to substructures that are unfavorable to bioavailability. A machine learning model was developed to identify nonbioavailable substructures based on their molecular properties and shows the accuracy of 83.5%. …”