DataSheet1_Adenosine Kinase Inhibition Prevents Severe Acute Pancreatitis via Suppressing Inflammation and Acinar Cell Necroptosis.docx by Shukun Sun (11510686)

“…</p><p>Results: ADK inhibition notably attenuated the severity of SAP, as indicated by the decreased serum amylase (7,416.76 ± 1,457.76 vs. 4,581.89 ± 1,175.04 U/L) and lipase (46.51 ± 11.50 vs. 32.94 ± 11.46 U/L) levels and fewer pancreatic histopathological alterations (histological scores: 6.433 ± 0.60 vs. 3.77 ± 0.70). …”

Dissociation of peptide-MHC-II complex on the live cells. by Koushik Roy (193484)

Effect of Rut on neuronal injury caused by OGD. by Zhixuan Huang (6750410)

Assessment of calcium events, pERK levels, NMDA receptor expression and extracellular zinc levels in <i>slc13a5</i> mutants. by Deepika Dogra (21072023)

“…<b>(M, M’, N, N’,</b> Q) Quantification of the fluorescence intensity (CTCF) ratios of Palm-ZP1:CellMask Orange in the plasma membrane. <i>5a</i>^{<i>−/−</i>}<i>;5b</i>^{<i>−/−</i>} larvae show a significant decrease in Palm-ZP1:CellMask Orange CTCF ratio in the plasma membrane compared to WTs. …”

EGC inhibits breast cancer growth and LDH-A expression <i>in vivo</i>. by Zhiyu Wang (282312)

“…The results showed that there was a significant reduction in LDH-A activity in EGC-treated tumor samples (right panel); (D) HE staining and immunohistochemistry assay indicated that EGC had little influences on the morphology and LDH expression in muscle and heart (×100, scale bar = 50 um; All values represents as Mean± SD, n = 6, *<i>P</i><0.05 <i>vs.…”

Quantification of fasting glucose, random glucose, and insulin levels. by Jessica C. M. Hui (20370522)

Effects of A1AR expression on response to hypoxia at E9.5 and E12.5. by Daniela L. Buscariollo (140729)

“…<p>A: At E9.5, responses to hypoxia in A1AR −/− (n = 15) and A1AR +/− (n = 50) embryos were studied. …”

The percentage of cells with protein aggregates cotransfected with αA- and αB-crystallin or R120G αB-crystallin (αBM) genes by Bing-Fen Liu (81305)

“…</p><p></p> The x-axis labels are either RED-αB- or the pairs of GFP-αA- and RED-αB-crystallin. A four-fold decrease of cells with protein aggregates was observed for cotransfection of αA- and αB-crystallin (the asterisk indicates a p=0.006), but only about a 1.5 fold decrease for cotransfection of αA- and αBM-crystallin (the double asterisk indicates a p=0.02). …”

E3 ligase TRIM56 is up-regulated in response to CVB3 infection. by Yao Wang (102387)

1,8-cineole inhibited the adhesion of <i>Plasmodium falciparum</i>-infected erythrocytes to brain macrovascular epithelial cell monolayers. by Edgleyson C. dos Santos (12536575)

PD-1 deficiency suppresses Th2 differentiation and promotes IFN-γ production in liver T cells of the <i>S</i>. <i>japonicum</i> infected mice. by Liaoxun Lu (179293)

Early IL-33 administration expands trTregs and improves disease outcome in infected mice. by Santiago Boccardo (5927954)

Adaptation of <i>B</i>. <i>subtilis</i> Rho⁺ cells to a sudden nutrient downshift. by Vladimir Bidnenko (4258573)

“…<i>subtilis</i> WT and Rho⁺ strains were cultivated in LB medium without or with RHX added at concentrations 50 and 100μg/ml in a 96-well microplate. Growth of the cultures was monitored by OD₆₀₀ measurement at the five-minute intervals using a microplate reader. …”

A comparison of therapies with anti-PCSK9 antibodies and small-molecule inhibitors. by Yuri Efremov (11450672)

Titration results for BMV-1a helix A bound to SDS micelles with 16-DSA. by Ling Liu (143030)

“…a<p>50% signal intensity decrease with the addition of less than 3.2 mM DSA.…”

ComBat normalization markedly increases cross-study prediction when the training and test data have different disease models when using XGBoost classifiers. by Yilin Gao (4335571)

ComBat normalization markedly increases cross-study prediction when the training and test data have different disease models when using LASSO classifiers. by Yilin Gao (4335571)

ComBat normalization markedly increases cross-study prediction when the training and test data have different disease models when using SVM classifiers. by Yilin Gao (4335571)

ComBat normalization markedly increases cross-study prediction when the training and test data have varying degrees of overlap in disease-associated OTUs. by Yilin Gao (4335571)

A Reverse MultipleChoice Based mLearning System by Karkar, AbdelGhani

“…Thus, extra-assessments will be carried out to assess the knowledge of the learner using the selected wrong answer. II. Review of the LiteratureSeveral mobile learning applications have been proposed due to their ability in providing more engaging and successful learning environments [2]. …”
Get full text
Get full text