Cerivastatin inhibits YAP nuclear localization induced by stimulation with neurotensin and insulin in confluent PDAC cells. by Fang Hao (535483)

“…Cerivastatin significantly decreased NT+Ins nuclear localization of YAP as compared with untreated controls (**P < 0.01) as shown by t-test.…”

UBC9 knockdown influences the expression of multiple downstream genes. by Sufen Fang (3878713)

“…(B) Graph of the relative ratios of the P-p65, p65, P-IκBα and IκBα proteins to β-actin in each group. *P < 0.01 and ^<b>#</b>P <0.05 compared with NC shRNA group, n = 4.…”

Blood cell deconvolution of transcriptomic data from states of infection with <i>L</i>. <i>infantum</i>. by Luiz Gustavo Gardinassi (3340488)

“…Expression values were scaled and displayed as a Z-score, whereby blue indicates decreased expression and red indicates increased expression. …”

DataSheet_1_Dynamics of Type I and Type II Interferon Signature Determines Responsiveness to Anti-TNF Therapy in Rheumatoid Arthritis.xlsx by Takeshi Iwasaki (3279906)

“…The expression of type I IFN signaling-related genes was higher in non-responders than in responders before and after treatment (P = 0.03, 0.005, respectively). The expression of type II IFN signaling-related genes did not significantly differ before treatment; however, it increased in non-responders and decreased in responders, with a significant difference being observed after three months of treatment (P = 1.2×10^-3). …”

Image_1_Dynamics of Type I and Type II Interferon Signature Determines Responsiveness to Anti-TNF Therapy in Rheumatoid Arthritis.jpeg by Takeshi Iwasaki (3279906)

“…The expression of type I IFN signaling-related genes was higher in non-responders than in responders before and after treatment (P = 0.03, 0.005, respectively). The expression of type II IFN signaling-related genes did not significantly differ before treatment; however, it increased in non-responders and decreased in responders, with a significant difference being observed after three months of treatment (P = 1.2×10^-3). …”

Image_2_Dynamics of Type I and Type II Interferon Signature Determines Responsiveness to Anti-TNF Therapy in Rheumatoid Arthritis.jpeg by Takeshi Iwasaki (3279906)

“…The expression of type I IFN signaling-related genes was higher in non-responders than in responders before and after treatment (P = 0.03, 0.005, respectively). The expression of type II IFN signaling-related genes did not significantly differ before treatment; however, it increased in non-responders and decreased in responders, with a significant difference being observed after three months of treatment (P = 1.2×10^-3). …”

Image_5_Dynamics of Type I and Type II Interferon Signature Determines Responsiveness to Anti-TNF Therapy in Rheumatoid Arthritis.jpeg by Takeshi Iwasaki (3279906)

“…The expression of type I IFN signaling-related genes was higher in non-responders than in responders before and after treatment (P = 0.03, 0.005, respectively). The expression of type II IFN signaling-related genes did not significantly differ before treatment; however, it increased in non-responders and decreased in responders, with a significant difference being observed after three months of treatment (P = 1.2×10^-3). …”

Image_3_Dynamics of Type I and Type II Interferon Signature Determines Responsiveness to Anti-TNF Therapy in Rheumatoid Arthritis.jpeg by Takeshi Iwasaki (3279906)

“…The expression of type I IFN signaling-related genes was higher in non-responders than in responders before and after treatment (P = 0.03, 0.005, respectively). The expression of type II IFN signaling-related genes did not significantly differ before treatment; however, it increased in non-responders and decreased in responders, with a significant difference being observed after three months of treatment (P = 1.2×10^-3). …”

Image_4_Dynamics of Type I and Type II Interferon Signature Determines Responsiveness to Anti-TNF Therapy in Rheumatoid Arthritis.jpeg by Takeshi Iwasaki (3279906)

“…The expression of type I IFN signaling-related genes was higher in non-responders than in responders before and after treatment (P = 0.03, 0.005, respectively). The expression of type II IFN signaling-related genes did not significantly differ before treatment; however, it increased in non-responders and decreased in responders, with a significant difference being observed after three months of treatment (P = 1.2×10^-3). …”

DataSheet_2_Dynamics of Type I and Type II Interferon Signature Determines Responsiveness to Anti-TNF Therapy in Rheumatoid Arthritis.docx by Takeshi Iwasaki (3279906)

“…The expression of type I IFN signaling-related genes was higher in non-responders than in responders before and after treatment (P = 0.03, 0.005, respectively). The expression of type II IFN signaling-related genes did not significantly differ before treatment; however, it increased in non-responders and decreased in responders, with a significant difference being observed after three months of treatment (P = 1.2×10^-3). …”

Changes of tumor volume and normalized perfusion parameters. by Jian-Wei Wang (5654263)

“…<p>A, There were significant differences of tumor volumes between control and treated groups on days 6 (* = <i>P</i><0.001) while there were no significant differences in tumor volume on days 0, 2 and 4 (<i>P</i>>0.05). …”

Inhibitory effects of curcumin on RPE–choroid production of angiogenic and inflammatory molecules. by Ping Xie (112003)

“…<p>Curcumine significantly suppressed RPE–choroid protein levels of VEGF (<b>A: </b><i>n</i> = 6. *<i>P</i><0.01), TNF<i>-</i>α (<b>B: </b><i>n</i> = 6. …”

Intersubunit Ionic Interactions Stabilize the Nucleoside Diphosphate Kinase of <em>Mycobacterium tuberculosis</em> by Florian Georgescauld (385363)

“…Indeed, guanidinium and many other salts stabilized the hexamer with a half maximum effect of about 0.1 M, increasing protein thermostability. …”

Heat map representing hierarchical clustering of gene expression for the 60 study children. by Miguel Reina Ortiz (218287)

The structural coefficient <i>σ</i> depends on the migration probability <i>v</i>, the mutation probability <i>u</i>, and the migration range <i>r</i>. by Yanling Zhang (6561)

“…Parameters: <i>N</i> = 100, <i>M</i> = 9, (A) <i>u</i> = 0.07, (B) <i>v</i> = 0.1.</p>…”

Data_Sheet_1_Mendelian randomization analysis demonstrates the causal effects of IGF family members in diabetes.PDF by Xing Li (134367)

“…To test the robustness of the results, we also employed MR-Egger regression, the weighted median method, and a leave-one-out analysis.</p>Results<p>Our study revealed that IGF-1 causally increases the risk of Type 2 Diabetes (T2D), while IGFBP-6, adiponectin and INSR decreases the risk (IGF-1, OR 1.02 [95% CI 1–1.03], p = 0.01; IGFBP-6, OR 0.92 [95% CI 0.87–0.98], p = 0.01; Adiponectin, OR 0.837 [95% CI 0.721–0.970], p = 0.018; INSR, OR 0.910 [95% CI 0.872–0.950], p = 1.52 × 10–5). …”

Data_Sheet_2_Mendelian randomization analysis demonstrates the causal effects of IGF family members in diabetes.PDF by Xing Li (134367)

“…To test the robustness of the results, we also employed MR-Egger regression, the weighted median method, and a leave-one-out analysis.</p>Results<p>Our study revealed that IGF-1 causally increases the risk of Type 2 Diabetes (T2D), while IGFBP-6, adiponectin and INSR decreases the risk (IGF-1, OR 1.02 [95% CI 1–1.03], p = 0.01; IGFBP-6, OR 0.92 [95% CI 0.87–0.98], p = 0.01; Adiponectin, OR 0.837 [95% CI 0.721–0.970], p = 0.018; INSR, OR 0.910 [95% CI 0.872–0.950], p = 1.52 × 10–5). …”

Data_Sheet_4_Mendelian randomization analysis demonstrates the causal effects of IGF family members in diabetes.PDF by Xing Li (134367)

“…To test the robustness of the results, we also employed MR-Egger regression, the weighted median method, and a leave-one-out analysis.</p>Results<p>Our study revealed that IGF-1 causally increases the risk of Type 2 Diabetes (T2D), while IGFBP-6, adiponectin and INSR decreases the risk (IGF-1, OR 1.02 [95% CI 1–1.03], p = 0.01; IGFBP-6, OR 0.92 [95% CI 0.87–0.98], p = 0.01; Adiponectin, OR 0.837 [95% CI 0.721–0.970], p = 0.018; INSR, OR 0.910 [95% CI 0.872–0.950], p = 1.52 × 10–5). …”

Data_Sheet_3_Mendelian randomization analysis demonstrates the causal effects of IGF family members in diabetes.PDF by Xing Li (134367)

“…To test the robustness of the results, we also employed MR-Egger regression, the weighted median method, and a leave-one-out analysis.</p>Results<p>Our study revealed that IGF-1 causally increases the risk of Type 2 Diabetes (T2D), while IGFBP-6, adiponectin and INSR decreases the risk (IGF-1, OR 1.02 [95% CI 1–1.03], p = 0.01; IGFBP-6, OR 0.92 [95% CI 0.87–0.98], p = 0.01; Adiponectin, OR 0.837 [95% CI 0.721–0.970], p = 0.018; INSR, OR 0.910 [95% CI 0.872–0.950], p = 1.52 × 10–5). …”

eIF3f regulated rRNA stability through hnRNP K. by Fushi Wen (175725)