Additional file 1 of Long noncoding RNA UNC5B-AS1 suppresses cell proliferation by sponging miR-24-3p in glioblastoma multiforme

Supplementary Material 1

Real-time quantitative RT-PCR.

<p>Real-time quantitative RT-PCR.</p

GO category based on biological process for differentially expressed genes.

<p>(A) The significant GO category for upregulated genes. (B) The significant GO category for downregulated genes. P-value<0.05 and FDR<0.05 were used as a threshold to select significant GO categories. LgP is the logarithm of P-value.</p

STRING analysis of the relationship between DE genes.

<p>The DE genes between PAM infected with S. zooepidemicus WD and KO were analyzed using the STRING database (<a href="http://string90.embl.de" target="_blank">http://string90.embl.de</a>). The network nodes represent the proteins encoded by the DE genes. Seven different colored lines link a number of nodes and represent seven types of evidence used in predicting associations. A red line indicates the presence of fusion evidence; a green line represents neighborhood evidence; a blue line represents coocurrence evidence; a purple line represents experimental evidence; a yellow line represents textmining evidence; a light blue line represents database evidence and a black line represents coexpression evidence. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of the article.)</p

Data_Sheet_2_The prevalence and risk factors of anxiety in multiple sclerosis: A systematic review and meta-analysis.pdf

BackgroundPatients with multiple sclerosis (MS) suffer from repetitive neurological deterioration, while anxiety may play a significant role in the disease’s progression.ObjectiveTo explore the prevalence of anxiety in MS and to investigate the risk factors related to anxiety in MS patients.MethodsAn analysis of four databases, PubMed, Web of Science, EMBASE, and Cochrane Library, has been conducted to determine the prevalence or risk factors for anxiety in MS published before May 2021.ResultsIn total, 32 studies were found to be eligible. Anxiety prevalence was estimated to be 36% based on the pooled estimates [the 95% confidence interval (CI) = [0.30–0.42], I2 = 98.4%]. Significant risk factors for developing of anxiety were as follows: age at survey [the weighted mean difference (WMD) = 0.96, 95% CI = [0.86–1.06], I2 = 43.8%], female [the odd ratio (OR) = 1.78, 95% CI = [1.38–2.30], I2 = 0%], living together (OR 2.83, 95% CI = [1.74–4.59], I2 = 0%), past psychiatric history (OR 2.42, 95% CI = [1.56–3.75], I2 = 0%), depression (OR 7.89, 95% CI = [3.71–16.81], I2 = 0%), not taking MS medication (OR 2.33, 95% CI = [1.29–4.21], I2 = 77.8%), relapsing-remitting MS (RRMS) (OR 1.50, 95% CI = [0.94–2.37], I2 = 53.5%), and baseline Expanded Disability Status Scale (EDSS) (OR 0.84, 95% CI = [0.48–1.21], I2 = 62.2%).ConclusionAn estimated 36% of people with MS suffer from anxiety. And anxiety rates in MS patients are significantly associated with age, gender, living together, prior psychiatric history, depression, drug compliance, RRMS, and baseline EDSS.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=287069, identifier CRD42021287069.</p

SzP/TRX interaction contributed to the FH recruitment and reduced the C3 deposition on the bacterial surface, beneficial for <i>S. zooepidemicus</i> to evade phagocytosis of the host immune system.

<p>A: The binding of FH to SzP (lane 1), TRX (lane 2) and the SzP/TRX complex (Lane 3) was demonstrated by using polyclonal goat antiserum to FH in an immunoblot analysis. B: TRX inhibited C3 convertase activity in the fluid phase. Fluid phase alternative pathway C3 convertase was generated by the addition of purified C3, C3i, factor B, and 0.1 M MgCl₂. 10 µg of TRX or FH were added followed by the addition of factor D to a final volume of 125 µl. Purified components only (control+); purified complement components without factor D (control-). The inhibition of C3 convertase was determined by C3a generation after 30 min of incubation and measured by a C3a ELISA. The effect of dosage increase of FH and TRX on C3a generation (ng/ml) was shown here. Reduction in C3a generation was correlated with the decreased C3 convertase activity. (Symbol * indicates that a value significantly differs from the control+ group). C: Immunoblot showing C3 components eluted from the surface of the <i>S. zooepidemicus</i> wild strains and the SzP knockout strains following treatment of TRX, FH or TRX and FH in porcine plasma. The blot was developed with the affinity purified antiserum to C3. C3 components eluted from the <i>S. zooepidemicus</i> wild strains and the SzP knockout strains after incubation in porcine plasma were used as the negative control. D: Flow cytometry analysis of <i>S. zooepidemicus</i> surface-bound C3b, a total of 10,000 events were collected per sample and a single gate was used to exclude debris. E: Flow cytometry analysis of gradient concentration TRX pretreated <i>S. zooepidemicus</i> surface-bound C3b. The antiphagocytic effectiveness of the TRX was dose-dependent until saturation. These results were the mean±SD for n = 3, *p<0.05, **p<0.01, ***p<0.001.</p

Data_Sheet_1_The prevalence and risk factors of anxiety in multiple sclerosis: A systematic review and meta-analysis.pdf

BackgroundPatients with multiple sclerosis (MS) suffer from repetitive neurological deterioration, while anxiety may play a significant role in the disease’s progression.ObjectiveTo explore the prevalence of anxiety in MS and to investigate the risk factors related to anxiety in MS patients.MethodsAn analysis of four databases, PubMed, Web of Science, EMBASE, and Cochrane Library, has been conducted to determine the prevalence or risk factors for anxiety in MS published before May 2021.ResultsIn total, 32 studies were found to be eligible. Anxiety prevalence was estimated to be 36% based on the pooled estimates [the 95% confidence interval (CI) = [0.30–0.42], I2 = 98.4%]. Significant risk factors for developing of anxiety were as follows: age at survey [the weighted mean difference (WMD) = 0.96, 95% CI = [0.86–1.06], I2 = 43.8%], female [the odd ratio (OR) = 1.78, 95% CI = [1.38–2.30], I2 = 0%], living together (OR 2.83, 95% CI = [1.74–4.59], I2 = 0%), past psychiatric history (OR 2.42, 95% CI = [1.56–3.75], I2 = 0%), depression (OR 7.89, 95% CI = [3.71–16.81], I2 = 0%), not taking MS medication (OR 2.33, 95% CI = [1.29–4.21], I2 = 77.8%), relapsing-remitting MS (RRMS) (OR 1.50, 95% CI = [0.94–2.37], I2 = 53.5%), and baseline Expanded Disability Status Scale (EDSS) (OR 0.84, 95% CI = [0.48–1.21], I2 = 62.2%).ConclusionAn estimated 36% of people with MS suffer from anxiety. And anxiety rates in MS patients are significantly associated with age, gender, living together, prior psychiatric history, depression, drug compliance, RRMS, and baseline EDSS.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=287069, identifier CRD42021287069.</p

Dynamic evolutionary procedure of a predicted temporal protein complex.

<p>The red proteins are unchanged in this procedure; the blue ones shown in (A) are absent in (B), and then reappear in (C); and the green protein shown in (A) is absent in both (B) and (C).</p

Some examples of the predicted protein complexes with small p-values detected from WTEPIN.

<p>Some examples of the predicted protein complexes with small p-values detected from WTEPIN.</p

Percentage comparison of known protein complexes matched by the predicted protein complexes detected from various kinds of networks.

<p>Percentage comparison of known protein complexes matched by the predicted protein complexes detected from various kinds of networks.</p