<i>Tg</i>ATM1-depleted <i>Toxoplasma</i> are functionally complemented through expression of the <i>Plasmodium</i> or yeast homolog. by Deepti Shrivastava (17715780)

“…Unchanged proteins are displayed in black, while significantly altered proteins are displayed in grey (< 1.5-fold change (FC), local false discovery rate, LFDR < 0.05) or in blue (>1.5-fold increased; LFDR < 0.05) or red (> 1.5-fold decreased; LFDR < 0.05). …”

Modulation of performance during learning. by Daniel Ramandi (10047543)

“…The ‘W_exp’ value shows the weight of the exponential component in each distribution. (B) A longitudinal comparison of the average exponential fit weight between WT and zQ175 mice reveals that while WT mice show a decreasing trend, indicating a shift towards longer duration (“timed”) trials, zQ175 mice maintain a consistently high exponential weight, demonstrating no significant change over time (b; RM two-way ANOVA, genotype p = 0.0106 F(1, 22) = 7.795, days p < 0.0001 F(5.262, 115.4) = 7.616, interaction p < 0.0001 F(57, 1250) = 2.834). …”

Effect of microglia depletion on cell viability in the retinal explants. by Rosa M. Ferrer-Martín (623505)

“…Bars represent mean values ± SEM of 5 explants per condition. *** denotes significant differences (P<0.001, Student’s t-test).…”

Dataset for Mathematical Model of in vitro Hepatocellular Cholesterol and Lipoprotein Metabolism, fig. 7 by Yuri Efremov (8450409)

Release rates of essential oils. by Thummanoon Boonmee (17935566)

“…In the 2^nd experiment, the application of plasma-treated cardboard pieces impregnated with 5% (v/v) clove oil induced a 38.10% reduction in the population of <i>Varroa</i> mites followed by 5% (v/v) of cardamon with 30% efficiency. …”

Evaporation rates of cinnamon essential oil. by Thummanoon Boonmee (17935566)

“…In the 2^nd experiment, the application of plasma-treated cardboard pieces impregnated with 5% (v/v) clove oil induced a 38.10% reduction in the population of <i>Varroa</i> mites followed by 5% (v/v) of cardamon with 30% efficiency. …”

Pro-apoptotic effect of burns septic acute renal failure (ARF) group plasma on tubular cells and correlation with proteinuria by Filippo Mariano (11845)

“…Plasma from burns septic ARF group patients induced a dose-dependent decrease of tubular cell viability (XTT-based assay, n = 19, *p < 0.05 burns septic ARF group plasma 2.5%, 5% or 10% vs control healthy plasma). …”

Table2_An integrative analysis of the lncRNA-miRNA-mRNA competitive endogenous RNA network reveals potential mechanisms in the murine hair follicle cycle.DOCX by Yuxin Ding (4737072)

“…Our analysis revealed 11 miRNAs (miR-148a-3p, miR-146a-5p, miR-200a-3p, miR-30e-5p, miR-30a-5p, miR-27a-3p, miR-143-3p, miR-27b-3p, miR-126a-3p, miR-378a-3p, and miR-22-3p), 9 target mRNAs (Atp6v1a, Cdkn1a, Gadd45a, Gspt1, Mafb, Mitf, Notch1, Plk2, and Slc7a5), and 2 target lncRNAs (Neat1 and Tug1) were differentially expressed in hair follicle cycling. …”

Expression analyses of HSPG and integrin molecules as alternate receptors for fiber-modified Ads on AI-WAm cells. by Anton V. Borovjagin (342382)

“…<p>Expression of α_vβ3 and α_vβ5 integrins (<b>A</b> and <b>B</b>) and heparin sulfate proteoglycans (<b>C–E</b>) in AI-WAm cell population and control cells was analyzed by flow cytometry (<b>A</b>, <b>C</b>, <b>E</b>) and IHC staining (<b>B</b> and <b>D</b>). …”

Table1_An integrative analysis of the lncRNA-miRNA-mRNA competitive endogenous RNA network reveals potential mechanisms in the murine hair follicle cycle.DOCX by Yuxin Ding (4737072)

“…Our analysis revealed 11 miRNAs (miR-148a-3p, miR-146a-5p, miR-200a-3p, miR-30e-5p, miR-30a-5p, miR-27a-3p, miR-143-3p, miR-27b-3p, miR-126a-3p, miR-378a-3p, and miR-22-3p), 9 target mRNAs (Atp6v1a, Cdkn1a, Gadd45a, Gspt1, Mafb, Mitf, Notch1, Plk2, and Slc7a5), and 2 target lncRNAs (Neat1 and Tug1) were differentially expressed in hair follicle cycling. …”

Table3_An integrative analysis of the lncRNA-miRNA-mRNA competitive endogenous RNA network reveals potential mechanisms in the murine hair follicle cycle.DOCX by Yuxin Ding (4737072)

“…Our analysis revealed 11 miRNAs (miR-148a-3p, miR-146a-5p, miR-200a-3p, miR-30e-5p, miR-30a-5p, miR-27a-3p, miR-143-3p, miR-27b-3p, miR-126a-3p, miR-378a-3p, and miR-22-3p), 9 target mRNAs (Atp6v1a, Cdkn1a, Gadd45a, Gspt1, Mafb, Mitf, Notch1, Plk2, and Slc7a5), and 2 target lncRNAs (Neat1 and Tug1) were differentially expressed in hair follicle cycling. …”

The effects of intensified training on resting metabolic rate (RMR), body composition and performance in trained cyclists by Amy L. Woods (3839215)

“…Data were analysed using a linear mixed modeling approach.</p><p>Results</p><p>The intensified training period elicited significant decreases in RMR (F_(5,123.36) = 12.0947, p = <0.001), body mass (F_(2,19.242) = 4.3362, p = 0.03), fat mass (F_(2,20.35) = 56.2494, p = <0.001) and HRV (F_(2,22.608) = 6.5212, p = 0.005); all of which improved following a period of recovery. …”

Table4_An integrative analysis of the lncRNA-miRNA-mRNA competitive endogenous RNA network reveals potential mechanisms in the murine hair follicle cycle.DOCX by Yuxin Ding (4737072)

“…Our analysis revealed 11 miRNAs (miR-148a-3p, miR-146a-5p, miR-200a-3p, miR-30e-5p, miR-30a-5p, miR-27a-3p, miR-143-3p, miR-27b-3p, miR-126a-3p, miR-378a-3p, and miR-22-3p), 9 target mRNAs (Atp6v1a, Cdkn1a, Gadd45a, Gspt1, Mafb, Mitf, Notch1, Plk2, and Slc7a5), and 2 target lncRNAs (Neat1 and Tug1) were differentially expressed in hair follicle cycling. …”

Proteasome function is impaired by mutant or loss of PINK1. by Wencheng Liu (374270)

“…There was a statistically significant decrease of proteasome activity in the SH-SY5Y cells expressing L347P-PINK1 (23% reduction, n = 7, p = 0.018, paired student t test) or in SH-SY5Y cells expressing E417G-PINK1 (19.4% reduction, n = 8, p = 0.012, paired student t test) compared to cells expressing wild type PINK1. …”

Image_1_Iron Overload in Patients With Heavily Transfused Sickle Cell Disease—Correlation of Serum Ferritin With Cardiac T2* MRI (CMRTools), Liver T2* MRI, and R2-MRI (Ferriscan®).... by Salam Alkindi (11601856)

“…In this evaluable cohort of 44 patients, the mean SF (±SD) reduced marginally from 4,311 to 4,230 ng/ml, mean Liver T2^* MRI dropped from 12 to 10.3 mg/gm dry weight, while the mean cardiac T2^*MRI improved from 36.8 to 39.5 ms. …”

Image_6_Iron Overload in Patients With Heavily Transfused Sickle Cell Disease—Correlation of Serum Ferritin With Cardiac T2* MRI (CMRTools), Liver T2* MRI, and R2-MRI (Ferriscan®).... by Salam Alkindi (11601856)

“…In this evaluable cohort of 44 patients, the mean SF (±SD) reduced marginally from 4,311 to 4,230 ng/ml, mean Liver T2^* MRI dropped from 12 to 10.3 mg/gm dry weight, while the mean cardiac T2^*MRI improved from 36.8 to 39.5 ms. …”

Image_2_Iron Overload in Patients With Heavily Transfused Sickle Cell Disease—Correlation of Serum Ferritin With Cardiac T2* MRI (CMRTools), Liver T2* MRI, and R2-MRI (Ferriscan®).... by Salam Alkindi (11601856)

“…In this evaluable cohort of 44 patients, the mean SF (±SD) reduced marginally from 4,311 to 4,230 ng/ml, mean Liver T2^* MRI dropped from 12 to 10.3 mg/gm dry weight, while the mean cardiac T2^*MRI improved from 36.8 to 39.5 ms. …”

Image_3_Iron Overload in Patients With Heavily Transfused Sickle Cell Disease—Correlation of Serum Ferritin With Cardiac T2* MRI (CMRTools), Liver T2* MRI, and R2-MRI (Ferriscan®).... by Salam Alkindi (11601856)

“…In this evaluable cohort of 44 patients, the mean SF (±SD) reduced marginally from 4,311 to 4,230 ng/ml, mean Liver T2^* MRI dropped from 12 to 10.3 mg/gm dry weight, while the mean cardiac T2^*MRI improved from 36.8 to 39.5 ms. …”

Image_4_Iron Overload in Patients With Heavily Transfused Sickle Cell Disease—Correlation of Serum Ferritin With Cardiac T2* MRI (CMRTools), Liver T2* MRI, and R2-MRI (Ferriscan®).... by Salam Alkindi (11601856)

“…In this evaluable cohort of 44 patients, the mean SF (±SD) reduced marginally from 4,311 to 4,230 ng/ml, mean Liver T2^* MRI dropped from 12 to 10.3 mg/gm dry weight, while the mean cardiac T2^*MRI improved from 36.8 to 39.5 ms. …”

Empirical findings on fashion cycles. by Alberto Acerbi (61063)

“…(B) Correlation between the rates of increase and decrease in the popularity of U.S.A. first names (Pearson's , , , only names reaching a frequency of at least 0.1% are included, see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032541#pone.0032541-Berger1" target="_blank">[5]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032541#pone.0032541-Social1" target="_blank">[32]</a>) and dog breeds (Pearson's , , ).…”