Showing 64,961 - 64,980 results of 100,711 for search '(( 50 ms decrease ) OR ( 5 ((((step decrease) OR (mean decrease))) OR (a decrease)) ))', query time: 1.80s Refine Results
  1. 64961

    Influence of metformin on stemness property of cancer cells. by Ankit Sharma (578833)

    Published 2019
    “…<p><b>(A)</b> Colony formation assay was performed. MDA-MB-231 cells were plated at low density (1000 cells/well) in 6 well plates. …”
  2. 64962

    Breeding ecology of Eurasian bullfinches <i>Pyrrhula pyrrhula</i> in an Iberian hedgerow habitat by Ángel Hernández (10512777)

    Published 2021
    “…Nest attendance, from the early building stage to when nestlings were ready to leave the nest, lasted approximately 36 days. The overall mean clutch size was 4.56 eggs. Clutch size decreased significantly at the end of the breeding season. …”
  3. 64963

    The influence of nicotine on granulocytic differentiation – Inhibition of the oxidative burst and bacterial killing and increased matrix metalloproteinase-9 release-1 by Minqi Xu (91869)

    Published 2011
    “…(E) DMSO exposure increased the mean percentage of cells differentiating beyond the promyelocytic stage over five-days, compared to DMSO-untreated control cells (= 6, *< 0.001); but nicotine had no statistically significant influence on the percentage of DMSO-treated HL-60 cells differentiating past the promyelocytic stage. …”
  4. 64964

    Correlations between predictors on different landscapes. by Dusan Misevic (53765)

    Published 2009
    “…Each cross mark (+) represents a predictor value for a single simulation. Red (blue) crosses indicate simulations in which the frequency of sexually reproducing individuals increased (decreased) in the competition phase. …”
  5. 64965

    Effect of MitoCEHC on lowering ROS. by Mohanad Mossalam (104416)

    Published 2013
    “…The effect of 2 µM α-CEHC and 2 µM MitoCEHC on lowering ROS induced by high glucose in endothelial cells was tested 36 hours after treatment. MitoCEHC displays a higher significant effect on decreasing ROS than α-CEHC alone. …”
  6. 64966

    Regardless of order, under light condition same larvae had higher free-swim activity than under darkness. by Melek Umay Tuz-Sasik (12334012)

    Published 2022
    “…Each behavioral section had two components; free-swimming for 10 min under light (open circles; white) or dark (solid circles; black) conditions after a 50 min acclimation period under same illumination condition, and a set of startle responses (280 ms) where a sequence of three taps was executed with 6-minute interval; arrows designate timing of taps. …”
  7. 64967
  8. 64968

    DataSheet_2_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.xls by Ganghua Lu (12750878)

    Published 2022
    “…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”
  9. 64969

    Image_4_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.tif by Ganghua Lu (12750878)

    Published 2022
    “…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”
  10. 64970

    Image_2_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.tif by Ganghua Lu (12750878)

    Published 2022
    “…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”
  11. 64971

    Table_1_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.docx by Ganghua Lu (12750878)

    Published 2022
    “…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”
  12. 64972

    DataSheet_1_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.xls by Ganghua Lu (12750878)

    Published 2022
    “…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”
  13. 64973

    Image_3_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.tif by Ganghua Lu (12750878)

    Published 2022
    “…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”
  14. 64974

    Dependency of Cl<sup>−</sup> accumulation on the site of synaptic input and KCC2 level. by Nicolas Doyon (344567)

    Published 2013
    “…Mean IPSC was measured at a “test” synapse activated at 40 Hz for 200 ms every second over 50 s of simulated time. Steady state value of <i>E</i><sub>Cl</sub> (<b>D</b>) and rate at which <i>E</i><sub>Cl</sub> approaches steady state (<b>E</b>) for different KCC2 levels and distances of “test” synapse from the soma. …”
  15. 64975

    Image_1_Alterations of Gut Microbiome and Metabolite Profiles Associated With Anabatic Lipid Dysmetabolism in Thyroid Cancer.tif by Ganghua Lu (12750878)

    Published 2022
    “…</p>Methods<p>16S rRNA gene sequencing and an integrated LC–MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).…”
  16. 64976
  17. 64977

    OLC15, MIA, and HMA affect different targets of the pheromone transduction cascade. by Andreas Nolte (409768)

    Published 2016
    “…<p>(A) The bombykal (50 ms; 1 μg on filter paper)—dependent AP response consists of at least 3 phases which occur at characteristic time windows after the pheromone stimulus (red arrow), also at other pheromone doses employed. …”
  18. 64978

    CR reduced Panc02 tumor volume and inflammatory profile. by Alison E. Harvey (560954)

    Published 2014
    “…<p>CR decreased <i>A</i>, tumor growth and <i>B</i>, median tumor weight compared to CON mice (n = 15/group). …”
  19. 64979

    Reverse phase protein analyses of ErbB2<sup>+</sup>Ph<sup>+</sup>ALL with canertinib treatment. by Mary E. Irwin (293687)

    Published 2013
    “…<p>(A) Unsupervised clustering analyses were performed on RPPA data from Z181 or Z119 cells treated with 0.1–5 µM of canertinib for 18 hours. …”
  20. 64980

    Siglec-1 expressed in LPS mDCs capture distinct ganglioside containing vesicles, such as HIV-1 viral-like particles, liposomes, and exosomes. by Nuria Izquierdo-Useros (91232)

    Published 2012
    “…Of note, Siglec-14 shares 100% of amino acid homology with Siglec-5 in the V-set domain. Data show mean values and SEMs from three experiments including cells from nine donors. …”