Showing 19,841 - 19,860 results of 102,088 for search '(( 5 c decrease ) OR ( 5 ((point decrease) OR (((mean decrease) OR (a decrease)))) ))', query time: 2.13s Refine Results
  1. 19841
  2. 19842

    Α-Difluoromethylornithine (DFMO) treatment decreases lung metastasis of MDA-MB-231 cells by Monica M Richert (63671)

    Published 2011
    “…<p><b>Copyright information:</b></p><p>Taken from "Metastasis of hormone-independent breast cancer to lung and bone is decreased by α-difluoromethylornithine treatment"</p><p>Breast Cancer Research 2005;7(5):R819-R827.…”
  3. 19843
  4. 19844
  5. 19845

    Ras Tyrosine 4 is important for Ras ubiquitination. by Chalita Washington (8997378)

    Published 2020
    “…Ras<sup>Y4A</sup>, Ras<sup>V7A</sup>,. Ras<sup>E3A,G12V</sup>, Ras<sup>Y4A,G12V</sup>, Ras<sup>K5A,G12V</sup>, and Ras<sup>V7A,G12V</sup> mutants show localization to the membrane and intracellular puncta where Ras<sup>WT</sup> and Ras<sup>G12V</sup> localize, so the decreased ubiquitination did not result from a failure to localize to these compartments in the cell. …”
  6. 19846

    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. …”
  7. 19847

    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). …”
  8. 19848
  9. 19849
  10. 19850
  11. 19851
  12. 19852
  13. 19853

    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. …”
  14. 19854

    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. …”
  15. 19855

    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. …”
  16. 19856

    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. …”
  17. 19857

    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. …”
  18. 19858

    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. …”
  19. 19859

    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. …”
  20. 19860

    Image6_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. …”