Showing 8,421 - 8,440 results of 99,613 for search '(( a nn decrease ) OR ( 5 ((((point decrease) OR (fold decrease))) OR (a decrease)) ))', query time: 0.92s Refine Results
  1. 8421

    Altered Theca and Cumulus Oocyte Complex Gene Expression, Follicular Arrest and Reduced Fertility in Cows with Dominant Follicle Follicular Fluid Androgen Excess by Adam F. Summers (645799)

    Published 2014
    “…Furthermore, abundance of <i>ZAR1</i> was decreased 10-fold in cumulus oocyte complexes from High A4 cows, whereas <i>NLRP5</i> abundance tended to be 19.8-fold greater (<i>P</i> = 0.07). …”
  2. 8422

    Quantitation demonstrates the overlap of WFA ‘patches’ and striosomes decreases during early postnatal development. by Hyunchul Lee (52763)

    Published 2013
    “…Although ‘patches’ remain overwhelmingly associated with striosomes (Student's <i>t</i>-test; P = 2.1063×10<sup>−5</sup>), the absolute area of overlap with both neostriatal subcompartments has dropped significantly by this time compared with P4 (note difference in scale for A and B; Two-way ANOVA, age and subregion as factors; F(1, 32) = 96.65, P = 3.4327×10<sup>−11</sup> across ages; F(1, 32) = 119.2, P = 2.5329×10<sup>−12</sup> across subregions; F(1, 32) = 52.2, P = 3.3113×10<sup>−8</sup> for interactions between age and subregion). …”
  3. 8423

    Prohibitin2 knockdown decreases glioma malignant phenotypes and radio-resistance by inhibiting mitophagy by Xuefei Xue (16496943)

    Published 2025
    “…Additionally, PHB2 regulated the expression of PGAM5 and PINK1 by directly binding to PARL.</p> <p>Our findings revealed that PHB2 knockdown decreased glioma malignant phenotypes and radio-resistance by inhibiting mitophagy <i>via</i> PARL–PGAM5–PINK1–Parkin pathway. …”
  4. 8424
  5. 8425
  6. 8426

    Decreased exploratory activity in the second day trial in offspring of exercised mothers indicates habituation. by Sérgio Gomes da Silva (846060)

    Published 2016
    “…For both the 5- and 10-min investigation periods, a significant decrease in peripheral locomotion was detected in the EX group between the first and second trial (*p < 0.05; one-way ANOVA with repeated measures; Bonferroni post hoc). …”
  7. 8427
  8. 8428
  9. 8429
  10. 8430
  11. 8431
  12. 8432

    Expression of neurotrophins and their receptors was decreased in <i>Slitrk6</i>-deficient inner ear. by Kei-ichi Katayama (257931)

    Published 2009
    “…<p>(A) Real-time PCR analysis of <i>Bdnf</i>, <i>Ntf3</i>, <i>Ntrk2</i>, and <i>Ntrk3</i> in E14.5 inner ear (includes cochlear and vestibular sensory epithelia, and spiral and vestibular ganglia). …”
  13. 8433
  14. 8434

    Image8_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  15. 8435

    Image10_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  16. 8436

    Table1_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.DOCX by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  17. 8437

    Image9_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  18. 8438

    Image12_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  19. 8439

    Image4_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”
  20. 8440

    Image7_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

    Published 2022
    “…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”