Showing 83,561 - 83,580 results of 132,261 for search '(( 2 c decrease ) OR ( 5 ((((step decrease) OR (nn decrease))) OR (a decrease)) ))', query time: 2.17s Refine Results
  1. 83561

    An amine oxidase gene from mud crab, <i>Scylla paramamosain</i>, regulates the neurotransmitters serotonin and dopamine <i>in vitro</i> by Junguo Liu (126628)

    Published 2018
    “…The cDNA sequence was 2,599 bp in length, including an open reading frame of 1,521 bp encoding 506 amino acids. …”
  2. 83562

    Longitudinal sequencing shows strain acquisition and within-host persistence. by Megan E. Griffiths (12431648)

    Published 2022
    “…The strain in (D-i) shows a decrease in intrastrain diversity between sampling points. …”
  3. 83563

    Table_1_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

    Published 2019
    “…The incidence-based mortality trend of extranodal DLBCL had a similar pattern, with a decrease happening around 1993. …”
  4. 83564

    Cell cycle progression and CenH3<sup>CID</sup> loading are not affected by RNAi-mediated downregulation of CHD1. by Valerie Podhraski (143713)

    Published 2010
    “…<p>A) Treatment of S2 cells with dsRNA targeting CHD1 for 4, 5, 6 and 8 days results in a decrease of CHD1 protein below detection limits. …”
  5. 83565

    Image_6_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

    Published 2019
    “…The incidence-based mortality trend of extranodal DLBCL had a similar pattern, with a decrease happening around 1993. …”
  6. 83566

    Image_7_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

    Published 2019
    “…The incidence-based mortality trend of extranodal DLBCL had a similar pattern, with a decrease happening around 1993. …”
  7. 83567

    Image_1_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

    Published 2019
    “…The incidence-based mortality trend of extranodal DLBCL had a similar pattern, with a decrease happening around 1993. …”
  8. 83568

    Table_1_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.docx by Ruiyi Zhu (13963501)

    Published 2023
    “…Bioinformatics analysis showed a reduction of CD36, FABP5, ACSL, ACOX3, PLIN2, ANGPTL4, LPL, MGLL, AQP7, and PDK4 involved in the lipid metabolism in the Sema group accompanied by a decrease in visceral fat accumulation, blood lipids, and improvement in glucose intolerance.…”
  9. 83569

    Image_4_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

    Published 2019
    “…The incidence-based mortality trend of extranodal DLBCL had a similar pattern, with a decrease happening around 1993. …”
  10. 83570

    Image_3_Incidence and Mortality Trends and Risk Prediction Nomogram for Extranodal Diffuse Large B-Cell Lymphoma: An Analysis of the Surveillance, Epidemiology, and End Results Dat... by Xuejiao Yin (5132441)

    Published 2019
    “…The incidence-based mortality trend of extranodal DLBCL had a similar pattern, with a decrease happening around 1993. …”
  11. 83571

    Image_4_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.tif by Ruiyi Zhu (13963501)

    Published 2023
    “…Bioinformatics analysis showed a reduction of CD36, FABP5, ACSL, ACOX3, PLIN2, ANGPTL4, LPL, MGLL, AQP7, and PDK4 involved in the lipid metabolism in the Sema group accompanied by a decrease in visceral fat accumulation, blood lipids, and improvement in glucose intolerance.…”
  12. 83572

    Image_6_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.tif by Ruiyi Zhu (13963501)

    Published 2023
    “…Bioinformatics analysis showed a reduction of CD36, FABP5, ACSL, ACOX3, PLIN2, ANGPTL4, LPL, MGLL, AQP7, and PDK4 involved in the lipid metabolism in the Sema group accompanied by a decrease in visceral fat accumulation, blood lipids, and improvement in glucose intolerance.…”
  13. 83573

    Image_3_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.tif by Ruiyi Zhu (13963501)

    Published 2023
    “…Bioinformatics analysis showed a reduction of CD36, FABP5, ACSL, ACOX3, PLIN2, ANGPTL4, LPL, MGLL, AQP7, and PDK4 involved in the lipid metabolism in the Sema group accompanied by a decrease in visceral fat accumulation, blood lipids, and improvement in glucose intolerance.…”
  14. 83574

    Table_3_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.xlsx by Ruiyi Zhu (13963501)

    Published 2023
    “…Bioinformatics analysis showed a reduction of CD36, FABP5, ACSL, ACOX3, PLIN2, ANGPTL4, LPL, MGLL, AQP7, and PDK4 involved in the lipid metabolism in the Sema group accompanied by a decrease in visceral fat accumulation, blood lipids, and improvement in glucose intolerance.…”
  15. 83575

    Image_1_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.tif by Ruiyi Zhu (13963501)

    Published 2023
    “…Bioinformatics analysis showed a reduction of CD36, FABP5, ACSL, ACOX3, PLIN2, ANGPTL4, LPL, MGLL, AQP7, and PDK4 involved in the lipid metabolism in the Sema group accompanied by a decrease in visceral fat accumulation, blood lipids, and improvement in glucose intolerance.…”
  16. 83576

    Table_4_Proteomic analysis reveals semaglutide impacts lipogenic protein expression in epididymal adipose tissue of obese mice.xlsx by Ruiyi Zhu (13963501)

    Published 2023
    “…Bioinformatics analysis showed a reduction of CD36, FABP5, ACSL, ACOX3, PLIN2, ANGPTL4, LPL, MGLL, AQP7, and PDK4 involved in the lipid metabolism in the Sema group accompanied by a decrease in visceral fat accumulation, blood lipids, and improvement in glucose intolerance.…”
  17. 83577

    Table_1_Dissimilatory Sulfate Reduction Under High Pressure by Desulfovibrio alaskensis G20.docx by Adam J. Williamson (1343514)

    Published 2018
    “…<p>Biosouring results from production of H<sub>2</sub>S by sulfate-reducing microorganisms (SRMs) in oil reservoirs. …”
  18. 83578

    Table_3_Dissimilatory Sulfate Reduction Under High Pressure by Desulfovibrio alaskensis G20.DOCX by Adam J. Williamson (1343514)

    Published 2018
    “…<p>Biosouring results from production of H<sub>2</sub>S by sulfate-reducing microorganisms (SRMs) in oil reservoirs. …”
  19. 83579

    Table_4_Dissimilatory Sulfate Reduction Under High Pressure by Desulfovibrio alaskensis G20.DOCX by Adam J. Williamson (1343514)

    Published 2018
    “…<p>Biosouring results from production of H<sub>2</sub>S by sulfate-reducing microorganisms (SRMs) in oil reservoirs. …”
  20. 83580

    Image_1_Dissimilatory Sulfate Reduction Under High Pressure by Desulfovibrio alaskensis G20.TIF by Adam J. Williamson (1343514)

    Published 2018
    “…<p>Biosouring results from production of H<sub>2</sub>S by sulfate-reducing microorganisms (SRMs) in oil reservoirs. …”