Showing 981 - 1,000 results of 54,195 for search '(( 5 ((we decrease) OR (nn decrease)) ) OR ( 100 ((teer decrease) OR (a decrease)) ))', query time: 0.98s Refine Results
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    Image_1_Molecular Mechanisms by Which S100A4 Regulates the Migration and Invasion of PGCCs With Their Daughter Cells in Human Colorectal Cancer.pdf by Fei Fei (794241)

    Published 2020
    “…The tumorigenic and metastatic ability of PGCCs with their daughter cells in vivo was significantly stronger compared to the untreated cells, which was significantly decreased after S100A4 knockdown. Moreover, the expression of S100A4-related proteins was positively correlated with the malignancy degree of human CRC, and maintained a high level in lymph node metastasis. …”
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    Differentially regulated genes in cells with increased or decreased expression of miR-106a-5p. by Feng Zhi (294362)

    Published 2013
    “…U251 cells were seeded into 6-well plates and transfected the following day using Lipofectamine 2000. For each well, 100 pmol of pre-ncRNA, pre-miR-106a-5p, anti-ncRNA or anti-miR-106a-5p was transfected. …”
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    A Proteomic Investigation of Hepatic Resistance to <i>Ascaris</i> in a Murine Model by Gwendoline Deslyper (3143148)

    Published 2016
    “…The complement component C8a and S100 proteins, S100a8 and S100a9, were highly differentially abundant in both infected strains, signifying a potential innate immune response and the importance of the complement pathway in defence against macroparasite infection. …”
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    Anionic Lipids Regulate the Light-Harvesting Complex 1‑Reaction Center Photocycle in Purple Bacteria by Olivia C. Fiebig (22295231)

    Published 2025
    “…Photosynthetic purple bacteria can capture and convert sunlight with a remarkable, nearly 100% quantum efficiency. The light-harvesting complex 1-reaction center (LH1-RC) core complex is the membrane complex fundamentally responsible for solar energy conversion. …”
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    Study design and settings. by Hyun Jin Han (18592254)

    Published 2024
    “…We observed an increase in the number of acute myeloid leukemia cases, with age-specific incidence rates escalating in older patients. In contrast a long-term decrease from 1.94 to 1.77 per 100,000 individuals was found in the age-standardized incidence rates. …”
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